Source: Foster, M. (2018). Systematic reviews service: Introduction to systematic reviews. Retrieved September 18, 2018, from
Implementation Science volume 19 , Article number: 59 ( 2024 ) Cite this article
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The implementation of clinical practice guidelines (CPGs) is a cyclical process in which the evaluation stage can facilitate continuous improvement. Implementation science has utilized theoretical approaches, such as models and frameworks, to understand and address this process. This article aims to provide a comprehensive overview of the models and frameworks used to assess the implementation of CPGs.
A systematic review was conducted following the Cochrane methodology, with adaptations to the "selection process" due to the unique nature of this review. The findings were reported following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. Electronic databases were searched from their inception until May 15, 2023. A predetermined strategy and manual searches were conducted to identify relevant documents from health institutions worldwide. Eligible studies presented models and frameworks for assessing the implementation of CPGs. Information on the characteristics of the documents, the context in which the models were used (specific objectives, level of use, type of health service, target group), and the characteristics of each model or framework (name, domain evaluated, and model limitations) were extracted. The domains of the models were analyzed according to the key constructs: strategies, context, outcomes, fidelity, adaptation, sustainability, process, and intervention. A subgroup analysis was performed grouping models and frameworks according to their levels of use (clinical, organizational, and policy) and type of health service (community, ambulatorial, hospital, institutional). The JBI’s critical appraisal tools were utilized by two independent researchers to assess the trustworthiness, relevance, and results of the included studies.
Database searches yielded 14,395 studies, of which 80 full texts were reviewed. Eight studies were included in the data analysis and four methodological guidelines were additionally included from the manual search. The risk of bias in the studies was considered non-critical for the results of this systematic review. A total of ten models/frameworks for assessing the implementation of CPGs were found. The level of use was mainly policy, the most common type of health service was institutional, and the major target group was professionals directly involved in clinical practice. The evaluated domains differed between the models and there were also differences in their conceptualization. All the models addressed the domain "Context", especially at the micro level (8/12), followed by the multilevel (7/12). The domains "Outcome" (9/12), "Intervention" (8/12), "Strategies" (7/12), and "Process" (5/12) were frequently addressed, while "Sustainability" was found only in one study, and "Fidelity/Adaptation" was not observed.
The use of models and frameworks for assessing the implementation of CPGs is still incipient. This systematic review may help stakeholders choose or adapt the most appropriate model or framework to assess CPGs implementation based on their specific health context.
PROSPERO (International Prospective Register of Systematic Reviews) registration number: CRD42022335884. Registered on June 7, 2022.
Peer Review reports
Although the number of theoretical approaches has grown in recent years, there are still important gaps to be explored in the use of models and frameworks to assess the implementation of clinical practice guidelines (CPGs). This systematic review aims to contribute knowledge to overcome these gaps.
Despite the great advances in implementation science, evaluating the implementation of CPGs remains a challenge, and models and frameworks could support improvements in this field.
This study demonstrates that the available models and frameworks do not cover all characteristics and domains necessary for a complete evaluation of CPGs implementation.
The presented findings contribute to the field of implementation science, encouraging debate on choices and adaptations of models and frameworks for implementation research and evaluation.
Substantial investments have been made in clinical research and development in recent decades, increasing the medical knowledge base and the availability of health technologies [ 1 ]. The use of clinical practice guidelines (CPGs) has increased worldwide to guide best health practices and to maximize healthcare investments. A CPG can be defined as "any formal statements systematically developed to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances" [ 2 ] and has the potential to improve patient care by promoting interventions of proven benefit and discouraging ineffective interventions. Furthermore, they can promote efficiency in resource allocation and provide support for managers and health professionals in decision-making [ 3 , 4 ].
However, having a quality CPG does not guarantee that the expected health benefits will be obtained. In fact, putting these devices to use still presents a challenge for most health services across distinct levels of government. In addition to the development of guidelines with high methodological rigor, those recommendations need to be available to their users; these recommendations involve the diffusion and dissemination stages, and they need to be used in clinical practice (implemented), which usually requires behavioral changes and appropriate resources and infrastructure. All these stages involve an iterative and complex process called implementation, which is defined as the process of putting new practices within a setting into use [ 5 , 6 ].
Implementation is a cyclical process, and the evaluation is one of its key stages, which allows continuous improvement of CPGs development and implementation strategies. It consists of verifying whether clinical practice is being performed as recommended (process evaluation or formative evaluation) and whether the expected results and impact are being reached (summative evaluation) [ 7 , 8 , 9 ]. Although the importance of the implementation evaluation stage has been recognized, research on how these guidelines are implemented is scarce [ 10 ]. This paper focused on the process of assessing CPGs implementation.
To understand and improve this complex process, implementation science provides a systematic set of principles and methods to integrate research findings and other evidence-based practices into routine practice and improve the quality and effectiveness of health services and care [ 11 ]. The field of implementation science uses theoretical approaches that have varying degrees of specificity based on the current state of knowledge and are structured based on theories, models, and frameworks [ 5 , 12 , 13 ]. A "Model" is defined as "a simplified depiction of a more complex world with relatively precise assumptions about cause and effect", and a "framework" is defined as "a broad set of constructs that organize concepts and data descriptively without specifying causal relationships" [ 9 ]. Although these concepts are distinct, in this paper, their use will be interchangeable, as they are typically like checklists of factors relevant to various aspects of implementation.
There are a variety of theoretical approaches available in implementation science [ 5 , 14 ], which can make choosing the most appropriate challenging [ 5 ]. Some models and frameworks have been categorized as "evaluation models" by providing a structure for evaluating implementation endeavors [ 15 ], even though theoretical approaches from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 13 ]. Two frameworks that can specify implementation aspects that should be evaluated as part of intervention studies are RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) [ 16 ] and PRECEDE-PROCEED (Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development) [ 17 ]. Although the number of theoretical approaches has grown in recent years, the use of models and frameworks to evaluate the implementation of guidelines still seems to be a challenge.
This article aims to provide a complete map of the models and frameworks applied to assess the implementation of CPGs. The aim is also to subside debate and choices on models and frameworks for the research and evaluation of the implementation processes of CPGs and thus to facilitate the continued development of the field of implementation as well as to contribute to healthcare policy and practice.
A systematic review was conducted following the Cochrane methodology [ 18 ], with adaptations to the "selection process" due to the unique nature of this review (details can be found in the respective section). The review protocol was registered in PROSPERO (registration number: CRD42022335884) on June 7, 2022. This report adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [ 19 ] and a completed checklist is provided in Additional File 1.
The SDMO approach (Types of Studies, Types of Data, Types of Methods, Outcomes) [ 20 ] was utilized in this systematic review, outlined as follows:
All types of studies were considered for inclusion, as the assessment of CPG implementation can benefit from a diverse range of study designs, including randomized clinical trials/experimental studies, scale/tool development, systematic reviews, opinion pieces, qualitative studies, peer-reviewed articles, books, reports, and unpublished theses.
Studies were categorized based on their methodological designs, which guided the synthesis, risk of bias assessment, and presentation of results.
Study protocols and conference abstracts were excluded due to insufficient information for this review.
Studies that evaluated the implementation of CPGs either independently or as part of a multifaceted intervention.
Guidelines for evaluating CPG implementation.
Inclusion of CPGs related to any context, clinical area, intervention, and patient characteristics.
No restrictions were placed on publication date or language.
Exclusion criteria
General guidelines were excluded, as this review focused on 'models for evaluating clinical practice guidelines implementation' rather than the guidelines themselves.
Studies that focused solely on implementation determinants as barriers and enablers were excluded, as this review aimed to explore comprehensive models/frameworks.
Studies evaluating programs and policies were excluded.
Studies that only assessed implementation strategies (isolated actions) rather than the implementation process itself were excluded.
Studies that focused solely on the impact or results of implementation (summative evaluation) were excluded.
Not applicable.
All potential models or frameworks for assessing the implementation of CPG (evaluation models/frameworks), as well as their characteristics: name; specific objectives; levels of use (clinical, organizational, and policy); health system (public, private, or both); type of health service (community, ambulatorial, hospital, institutional, homecare); domains or outcomes evaluated; type of recommendation evaluated; context; limitations of the model.
Model was defined as "a deliberated simplification of a phenomenon on a specific aspect" [ 21 ].
Framework was defined as "structure, overview outline, system, or plan consisting of various descriptive categories" [ 21 ].
Models or frameworks used solely for the CPG development, dissemination, or implementation phase.
Models/frameworks used solely for assessment processes other than implementation, such as for the development or dissemination phase.
The systematic search was conducted on July 31, 2022 (and updated on May 15, 2023) in the following electronic databases: MEDLINE/PubMed, Centre for Reviews and Dissemination (CRD), the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, Epistemonikos, Global Health, Health Systems Evidence, PDQ-Evidence, PsycINFO, Rx for Change (Canadian Agency for Drugs and Technologies in Health, CADTH), Scopus, Web of Science and Virtual Health Library (VHL). The Google Scholar database was used for the manual selection of studies (first 10 pages).
Additionally, hand searches were performed on the lists of references included in the systematic reviews and citations of the included studies, as well as on the websites of institutions working on CPGs development and implementation: Guidelines International Networks (GIN), National Institute for Health and Care Excellence (NICE; United Kingdom), World Health Organization (WHO), Centers for Disease Control and Prevention (CDC; USA), Institute of Medicine (IOM; USA), Australian Department of Health and Aged Care (ADH), Healthcare Improvement Scotland (SIGN), National Health and Medical Research Council (NHMRC; Australia), Queensland Health, The Joanna Briggs Institute (JBI), Ministry of Health and Social Policy of Spain, Ministry of Health of Brazil and Capes Theses and Dissertations Catalog.
The search strategy combined terms related to "clinical practice guidelines" (practice guidelines, practice guidelines as topic, clinical protocols), "implementation", "assessment" (assessment, evaluation), and "models, framework". The free term "monitoring" was not used because it was regularly related to clinical monitoring and not to implementation monitoring. The search strategies adapted for the electronic databases are presented in an additional file (see Additional file 2).
The results of the literature search from scientific databases, excluding the CRD database, were imported into Mendeley Reference Management software to remove duplicates. They were then transferred to the Rayyan platform ( https://rayyan.qcri.org ) [ 22 ] for the screening process. Initially, studies related to the "assessment of implementation of the CPG" were selected. The titles were first screened independently by two pairs of reviewers (first selection: four reviewers, NM, JB, SS, and JG; update: a pair of reviewers, NM and DG). The title screening was broad, including all potentially relevant studies on CPG and the implementation process. Following that, the abstracts were independently screened by the same group of reviewers. The abstract screening was more focused, specifically selecting studies that addressed CPG and the evaluation of the implementation process. In the next step, full-text articles were reviewed independently by a pair of reviewers (NM, DG) to identify those that explicitly presented "models" or "frameworks" for assessing the implementation of the CPG. Disagreements regarding the eligibility of studies were resolved through discussion and consensus, and by a third reviewer (JB) when necessary. One reviewer (NM) conducted manual searches, and the inclusion of documents was discussed with the other reviewers.
The selected studies were independently classified and evaluated according to their methodological designs by two investigators (NM and JG). This review employed JBI’s critical appraisal tools to assess the trustworthiness, relevance and results of the included studies [ 23 ] and these tools are presented in additional files (see Additional file 3 and Additional file 4). Disagreements were resolved by consensus or consultation with the other reviewers. Methodological guidelines and noncomparative and before–after studies were not evaluated because JBI does not have specific tools for assessing these types of documents. Although the studies were assessed for quality, they were not excluded on this basis.
The data was independently extracted by two reviewers (NM, DG) using a Microsoft Excel spreadsheet. Discrepancies were discussed and resolved by consensus. The following information was extracted:
Document characteristics : author; year of publication; title; study design; instrument of evaluation; country; guideline context;
Usage context of the models : specific objectives; level of use (clinical, organizational, and policy); type of health service (community, ambulatorial, hospital, institutional); target group (guideline developers, clinicians; health professionals; health-policy decision-makers; health-care organizations; service managers);
Model and framework characteristics : name, domain evaluated, and model limitations.
The set of information to be extracted, shown in the systematic review protocol, was adjusted to improve the organization of the analysis.
The "level of use" refers to the scope of the model used. "Clinical" was considered when the evaluation focused on individual practices, "organizational" when practices were within a health service institution, and "policy" when the evaluation was more systemic and covered different health services or institutions.
The "type of health service" indicated the category of health service where the model/framework was used (or can be used) to assess the implementation of the CPG, related to the complexity of healthcare. "Community" is related to primary health care; "ambulatorial" is related to secondary health care; "hospital" is related to tertiary health care; and "institutional" represented models/frameworks not specific to a particular type of health service.
The "target group" included stakeholders related to the use of the model/framework for evaluating the implementation of the CPG, such as clinicians, health professionals, guideline developers, health policy-makers, health organizations, and service managers.
The category "health system" (public, private, or both) mentioned in the systematic review protocol was not found in the literature obtained and was removed as an extraction variable. Similarly, the variables "type of recommendation evaluated" and "context" were grouped because the same information was included in the "guideline context" section of the study.
Some selected documents presented models or frameworks recognized by the scientific field, including some that were validated. However, some studies adapted the model to this context. Therefore, the domain analysis covered all models or frameworks domains evaluated by (or suggested for evaluation by) the document analyzed.
The results were tabulated using narrative synthesis with an aggregative approach, without meta-analysis, aiming to summarize the documents descriptively for the organization, description, interpretation and explanation of the study findings [ 24 , 25 ].
The model/framework domains evaluated in each document were studied according to Nilsen et al.’s constructs: "strategies", "context", "outcomes", "fidelity", "adaptation" and "sustainability". For this study, "strategies" were described as structured and planned initiatives used to enhance the implementation of clinical practice [ 26 ].
The definition of "context" varies in the literature. Despite that, this review considered it as the set of circumstances or factors surrounding a particular implementation effort, such as organizational support, financial resources, social relations and support, leadership, and organizational culture [ 26 , 27 ]. The domain "context" was subdivided according to the level of health care into "micro" (individual perspective), "meso" (organizational perspective), "macro" (systemic perspective), and "multiple" (when there is an issue involving more than one level of health care).
The "outcomes" domain was related to the results of the implementation process (unlike clinical outcomes) and was stratified according to the following constructs: acceptability, appropriateness, feasibility, adoption, cost, and penetration. All these concepts align with the definitions of Proctor et al. (2011), although we decided to separate "fidelity" and "sustainability" as independent domains similar to Nilsen [ 26 , 28 ].
"Fidelity" and "adaptation" were considered the same domain, as they are complementary pieces of the same issue. In this study, implementation fidelity refers to how closely guidelines are followed as intended by their developers or designers. On the other hand, adaptation involves making changes to the content or delivery of a guideline to better fit the needs of a specific context. The "sustainability" domain was defined as evaluations about the continuation or permanence over time of the CPG implementation.
Additionally, the domain "process" was utilized to address issues related to the implementation process itself, rather than focusing solely on the outcomes of the implementation process, as done by Wang et al. [ 14 ]. Furthermore, the "intervention" domain was introduced to distinguish aspects related to the CPG characteristics that can impact its implementation, such as the complexity of the recommendation.
A subgroup analysis was performed with models and frameworks categorized based on their levels of use (clinical, organizational, and policy) and the type of health service (community, ambulatorial, hospital, institutional) associated with the CPG. The goal is to assist stakeholders (politicians, clinicians, researchers, or others) in selecting the most suitable model for evaluating CPG implementation based on their specific health context.
Database searches yielded 26,011 studies, of which 107 full texts were reviewed. During the full-text review, 99 articles were excluded: 41 studies did not mention a model or framework for assessing the implementation of the CPG, 31 studies evaluated only implementation strategies (isolated actions) rather than the implementation process itself, and 27 articles were not related to the implementation assessment. Therefore, eight studies were included in the data analysis. The updated search did not reveal additional relevant studies. The main reason for study exclusion was that they did not use models or frameworks to assess CPG implementation. Additionally, four methodological guidelines were included from the manual search (Fig. 1 ).
PRISMA diagram. Acronyms: ADH—Australian Department of Health, CINAHL—Cumulative Index to Nursing and Allied Health Literature, CDC—Centers for Disease Control and Prevention, CRD—Centre for Reviews and Dissemination, GIN—Guidelines International Networks, HSE—Health Systems Evidence, IOM—Institute of Medicine, JBI—The Joanna Briggs Institute, MHB—Ministry of Health of Brazil, NICE—National Institute for Health and Care Excellence, NHMRC—National Health and Medical Research Council, MSPS – Ministerio de Sanidad Y Política Social (Spain), SIGN—Scottish Intercollegiate Guidelines Network, VHL – Virtual Health Library, WHO—World Health Organization. Legend: Reason A –The study evaluated only implementation strategies (isolated actions) rather than the implementation process itself. Reason B – The study did not mention a model or framework for assessing the implementation of the intervention. Reason C – The study was not related to the implementation assessment. Adapted from Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. https://doi.org/10.1136/bmj.n71 . For more information, visit:
According to the JBI’s critical appraisal tools, the overall assessment of the studies indicates their acceptance for the systematic review.
The cross-sectional studies lacked clear information regarding "confounding factors" or "strategies to address confounding factors". This was understandable given the nature of the study, where such details are not typically included. However, the reviewers did not find this lack of information to be critical, allowing the studies to be included in the review. The results of this methodological quality assessment can be found in an additional file (see Additional file 5).
In the qualitative studies, there was some ambiguity regarding the questions: "Is there a statement locating the researcher culturally or theoretically?" and "Is the influence of the researcher on the research, and vice versa, addressed?". However, the reviewers decided to include the studies and deemed the methodological quality sufficient for the analysis in this article, based on the other information analyzed. The results of this methodological quality assessment can be found in an additional file (see Additional file 6).
The documents were directed to several continents: Australia/Oceania (4/12) [ 31 , 33 , 36 , 37 ], North America (4/12 [ 30 , 32 , 38 , 39 ], Europe (2/12 [ 29 , 35 ] and Asia (2/12) [ 34 , 40 ]. The types of documents were classified as cross-sectional studies (4/12) [ 29 , 32 , 34 , 38 ], methodological guidelines (4/12) [ 33 , 35 , 36 , 37 ], mixed methods studies (3/12) [ 30 , 31 , 39 ] or noncomparative studies (1/12) [ 40 ]. In terms of the instrument of evaluation, most of the documents used a survey/questionnaire (6/12) [ 29 , 30 , 31 , 32 , 34 , 38 ], while three (3/12) used qualitative instruments (interviews, group discussions) [ 30 , 31 , 39 ], one used a checklist [ 37 ], one used an audit [ 33 ] and three (3/12) did not define a specific instrument to measure [ 35 , 36 , 40 ].
Considering the clinical areas covered, most studies evaluated the implementation of nonspecific (general) clinical areas [ 29 , 33 , 35 , 36 , 37 , 40 ]. However, some studies focused on specific clinical contexts, such as mental health [ 32 , 38 ], oncology [ 39 ], fall prevention [ 31 ], spinal cord injury [ 30 ], and sexually transmitted infections [ 34 ].
Specific objectives.
All the studies highlighted the purpose of guiding the process of evaluating the implementation of CPGs, even if they evaluated CPGs from generic or different clinical areas.
The most common level of use of the models/frameworks identified to assess the implementation of CPGs was policy (6/12) [ 33 , 35 , 36 , 37 , 39 , 40 ]. In this level, the model is used in a systematic way to evaluate all the processes involved in CPGs implementation and is primarily related to methodological guidelines. This was followed by the organizational level of use (5/12) [ 30 , 31 , 32 , 38 , 39 ], where the model is used to evaluate the implementation of CPGs in a specific institution, considering its specific environment. Finally, the clinical level of use (2/12) [ 29 , 34 ] focuses on individual practice and the factors that can influence the implementation of CPGs by professionals.
Institutional services were predominant (5/12) [ 33 , 35 , 36 , 37 , 40 ] and included methodological guidelines and a study of model development and validation. Hospitals were the second most common type of health service (4/12) [ 29 , 30 , 31 , 34 ], followed by ambulatorial (2/12) [ 32 , 34 ] and community health services (1/12) [ 32 ]. Two studies did not specify which type of health service the assessment addressed [ 38 , 39 ].
The focus of the target group was professionals directly involved in clinical practice (6/12) [ 29 , 31 , 32 , 34 , 38 , 40 ], namely, health professionals and clinicians. Other less related stakeholders included guideline developers (2/12) [ 39 , 40 ], health policy decision makers (1/12) [ 39 ], and healthcare organizations (1/12) [ 39 ]. The target group was not defined in the methodological guidelines, although all the mentioned stakeholders could be related to these documents.
Models and frameworks for assessing the implementation of cpgs.
The Consolidated Framework for Implementation Research (CFIR) [ 31 , 38 ] and the Promoting Action on Research Implementation in Health Systems (PARiHS) framework [ 29 , 30 ] were the most commonly employed frameworks within the selected documents. The other models mentioned were: Goal commitment and implementation of practice guidelines framework [ 32 ]; Guideline to identify key indicators [ 35 ]; Guideline implementation checklist [ 37 ]; Guideline implementation evaluation tool [ 40 ]; JBI Implementation Framework [ 33 ]; Reach, effectiveness, adoption, implementation and maintenance (RE-AIM) framework [ 34 ]; The Guideline Implementability Framework [ 39 ] and an unnamed model [ 36 ].
The number of domains evaluated (or suggested for evaluation) by the documents varied between three and five, with the majority focusing on three domains. All the models addressed the domain "context", with a particular emphasis on the micro level of the health care context (8/12) [ 29 , 31 , 34 , 35 , 36 , 37 , 38 , 39 ], followed by the multilevel (7/12) [ 29 , 31 , 32 , 33 , 38 , 39 , 40 ], meso level (4/12) [ 30 , 35 , 39 , 40 ] and macro level (2/12) [ 37 , 39 ]. The "Outcome" domain was evaluated in nine models. Within this domain, the most frequently evaluated subdomain was "adoption" (6/12) [ 29 , 32 , 34 , 35 , 36 , 37 ], followed by "acceptability" (4/12) [ 30 , 32 , 35 , 39 ], "appropriateness" (3/12) [ 32 , 34 , 36 ], "feasibility" (3/12) [ 29 , 32 , 36 ], "cost" (1/12) [ 35 ] and "penetration" (1/12) [ 34 ]. Regarding the other domains, "Intervention" (8/12) [ 29 , 31 , 34 , 35 , 36 , 38 , 39 , 40 ], "Strategies" (7/12) [ 29 , 30 , 33 , 35 , 36 , 37 , 40 ] and "Process" (5/12) [ 29 , 31 , 32 , 33 , 38 ] were frequently addressed in the models, while "Sustainability" (1/12) [ 34 ] was only found in one model, and "Fidelity/Adaptation" was not observed. The domains presented by the models and frameworks and evaluated in the documents are shown in Table 2 .
Only two documents mentioned limitations in the use of the model or frameworks. These two studies reported limitations in the use of CFIR: "is complex and cumbersome and requires tailoring of the key variables to the specific context", and "this framework should be supplemented with other important factors and local features to achieve a sound basis for the planning and realization of an ongoing project" [ 31 , 38 ]. Limitations in the use of other models or frameworks are not reported.
Following the subgroup analysis (Table 3 ), five different models/frameworks were utilized at the policy level by institutional health services. These included the Guideline Implementation Evaluation Tool [ 40 ], the NHMRC tool (model name not defined) [ 36 ], the JBI Implementation Framework + GRiP [ 33 ], Guideline to identify key indicators [ 35 ], and the Guideline implementation checklist [ 37 ]. Additionally, the "Guideline Implementability Framework" [ 39 ] was implemented at the policy level without restrictions based on the type of health service. Regarding the organizational level, the models used varied depending on the type of service. The "Goal commitment and implementation of practice guidelines framework" [ 32 ] was applied in community and ambulatory health services, while "PARiHS" [ 29 , 30 ] and "CFIR" [ 31 , 38 ] were utilized in hospitals. In contexts where the type of health service was not defined, "CFIR" [ 31 , 38 ] and "The Guideline Implementability Framework" [ 39 ] were employed. Lastly, at the clinical level, "RE-AIM" [ 34 ] was utilized in ambulatory and hospital services, and PARiHS [ 29 , 30 ] was specifically used in hospital services.
This systematic review identified 10 models/ frameworks used to assess the implementation of CPGs in various health system contexts. These documents shared similar objectives in utilizing models and frameworks for assessment. The primary level of use was policy, the most common type of health service was institutional, and the main target group of the documents was professionals directly involved in clinical practice. The models and frameworks presented varied analytical domains, with sometimes divergent concepts used in these domains. This study is innovative in its emphasis on the evaluation stage of CPG implementation and in summarizing aspects and domains aimed at the practical application of these models.
The small number of documents contrasts with studies that present an extensive range of models and frameworks available in implementation science. The findings suggest that the use of models and frameworks to evaluate the implementation of CPGs is still in its early stages. Among the selected documents, there was a predominance of cross-sectional studies and methodological guidelines, which strongly influenced how the implementation evaluation was conducted. This was primarily done through surveys/questionnaires, qualitative methods (interviews, group discussions), and non-specific measurement instruments. Regarding the subject areas evaluated, most studies focused on a general clinical area, while others explored different clinical areas. This suggests that the evaluation of CPG implementation has been carried out in various contexts.
The models were chosen independently of the categories proposed in the literature, with their usage categorized for purposes other than implementation evaluation, as is the case with CFIR and PARiHS. This practice was described by Nilsen et al. who suggested that models and frameworks from other categories can also be applied for evaluation purposes because they specify concepts and constructs that may be operationalized and measured [ 14 , 15 , 42 , 43 ].
The results highlight the increased use of models and frameworks in evaluation processes at the policy level and institutional environments, followed by the organizational level in hospital settings. This finding contradicts a review that reported the policy level as an area that was not as well studied [ 44 ]. The use of different models at the institutional level is also emphasized in the subgroup analysis. This may suggest that the greater the impact (social, financial/economic, and organizational) of implementing CPGs, the greater the interest and need to establish well-defined and robust processes. In this context, the evaluation stage stands out as crucial, and the investment of resources and efforts to structure this stage becomes even more advantageous [ 10 , 45 ]. Two studies (16,7%) evaluated the implementation of CPGs at the individual level (clinical level). These studies stand out for their potential to analyze variations in clinical practice in greater depth.
In contrast to the level of use and type of health service most strongly indicated in the documents, with systemic approaches, the target group most observed was professionals directly involved in clinical practice. This suggests an emphasis on evaluating individual behaviors. This same emphasis is observed in the analysis of the models, in which there is a predominance of evaluating the micro level of the health context and the "adoption" subdomain, in contrast with the sub-use of domains such as "cost" and "process". Cassetti et al. observed the same phenomenon in their review, in which studies evaluating the implementation of CPGs mainly adopted a behavioral change approach to tackle those issues, without considering the influence of wider social determinants of health [ 10 ]. However, the literature widely reiterates that multiple factors impact the implementation of CPGs, and different actions are required to make them effective [ 6 , 46 , 47 ]. As a result, there is enormous potential for the development and adaptation of models and frameworks aimed at more systemic evaluation processes that consider institutional and organizational aspects.
In analyzing the model domains, most models focused on evaluating only some aspects of implementation (three domains). All models evaluated the "context", highlighting its significant influence on implementation [ 9 , 26 ]. Context is an essential effect modifier for providing research evidence to guide decisions on implementation strategies [ 48 ]. Contextualizing a guideline involves integrating research or other evidence into a specific circumstance [ 49 ]. The analysis of this domain was adjusted to include all possible contextual aspects, even if they were initially allocated to other domains. Some contextual aspects presented by the models vary in comprehensiveness, such as the assessment of the "timing and nature of stakeholder engagement" [ 39 ], which includes individual engagement by healthcare professionals and organizational involvement in CPG implementation. While the importance of context is universally recognized, its conceptualization and interpretation differ across studies and models. This divergence is also evident in other domains, consistent with existing literature [ 14 ]. Efforts to address this conceptual divergence in implementation science are ongoing, but further research and development are needed in this field [ 26 ].
The main subdomain evaluated was "adoption" within the outcome domain. This may be attributed to the ease of accessing information on the adoption of the CPG, whether through computerized system records, patient records, or self-reports from healthcare professionals or patients themselves. The "acceptability" subdomain pertains to the perception among implementation stakeholders that a particular CPG is agreeable, palatable or satisfactory. On the other hand, "appropriateness" encompasses the perceived fit, relevance or compatibility of the CPG for a specific practice setting, provider, or consumer, or its perceived fit to address a particular issue or problem [ 26 ]. Both subdomains are subjective and rely on stakeholders' interpretations and perceptions of the issue being analyzed, making them susceptible to reporting biases. Moreover, obtaining this information requires direct consultation with stakeholders, which can be challenging for some evaluation processes, particularly in institutional contexts.
The evaluation of the subdomains "feasibility" (the extent to which a CPG can be successfully used or carried out within a given agency or setting), "cost" (the cost impact of an implementation effort), and "penetration" (the extent to which an intervention or treatment is integrated within a service setting and its subsystems) [ 26 ] was rarely observed in the documents. This may be related to the greater complexity of obtaining information on these aspects, as they involve cross-cutting and multifactorial issues. In other words, it would be difficult to gather this information during evaluations with health practitioners as the target group. This highlights the need for evaluation processes of CPGs implementation involving multiple stakeholders, even if the evaluation is adjusted for each of these groups.
Although the models do not establish the "intervention" domain, we thought it pertinent in this study to delimit the issues that are intrinsic to CPGs, such as methodological quality or clarity in establishing recommendations. These issues were quite common in the models evaluated but were considered in other domains (e.g., in "context"). Studies have reported the importance of evaluating these issues intrinsic to CPGs [ 47 , 50 ] and their influence on the implementation process [ 51 ].
The models explicitly present the "strategies" domain, and its evaluation was usually included in the assessments. This is likely due to the expansion of scientific and practical studies in implementation science that involve theoretical approaches to the development and application of interventions to improve the implementation of evidence-based practices. However, these interventions themselves are not guaranteed to be effective, as reported in a previous review that showed unclear results indicating that the strategies had affected successful implementation [ 52 ]. Furthermore, model domains end up not covering all the complexity surrounding the strategies and their development and implementation process. For example, the ‘Guideline implementation evaluation tool’ evaluates whether guideline developers have designed and provided auxiliary tools to promote the implementation of guidelines [ 40 ], but this does not mean that these tools would work as expected.
The "process" domain was identified in the CFIR [ 31 , 38 ], JBI/GRiP [ 33 ], and PARiHS [ 29 ] frameworks. While it may be included in other domains of analysis, its distinct separation is crucial for defining operational issues when assessing the implementation process, such as determining if and how the use of the mentioned CPG was evaluated [ 3 ]. Despite its presence in multiple models, there is still limited detail in the evaluation guidelines, which makes it difficult to operationalize the concept. Further research is needed to better define the "process" domain and its connections and boundaries with other domains.
The domain of "sustainability" was only observed in the RE-AIM framework, which is categorized as an evaluation framework [ 34 ]. In its acronym, the letter M stands for "maintenance" and corresponds to the assessment of whether the user maintains use, typically longer than 6 months. The presence of this domain highlights the need for continuous evaluation of CPGs implementation in the short, medium, and long term. Although the RE-AIM framework includes this domain, it was not used in the questionnaire developed in the study. One probable reason is that the evaluation of CPGs implementation is still conducted on a one-off basis and not as a continuous improvement process. Considering that changes in clinical practices are inherent over time, evaluating and monitoring changes throughout the duration of the CPG could be an important strategy for ensuring its implementation. This is an emerging field that requires additional investment and research.
The "Fidelity/Adaptation" domain was not observed in the models. These emerging concepts involve the extent to which a CPG is being conducted exactly as planned or whether it is undergoing adjustments and adaptations. Whether or not there is fidelity or adaptation in the implementation of CPGs does not presuppose greater or lesser effectiveness; after all, some adaptations may be necessary to implement general CPGs in specific contexts. The absence of this domain in all the models and frameworks may suggest that they are not relevant aspects for evaluating implementation or that there is a lack of knowledge of these complex concepts. This may suggest difficulty in expressing concepts in specific evaluative questions. However, further studies are warranted to determine the comprehensiveness of these concepts.
It is important to note the customization of the domains of analysis, with some domains presented in the models not being evaluated in the studies, while others were complementarily included. This can be seen in Jeong et al. [ 34 ], where the "intervention" domain in the evaluation with the RE-AIM framework reinforced the aim of theoretical approaches such as guiding the process and not determining norms. Despite this, few limitations were reported for the models, suggesting that the use of models in these studies reflects the application of these models to defined contexts without a deep critical analysis of their domains.
This review has several limitations. First, only a few studies and methodological guidelines that explicitly present models and frameworks for assessing the implementation of CPGs have been found. This means that few alternative models could be analyzed and presented in this review. Second, this review adopted multiple analytical categories (e.g., level of use, health service, target group, and domains evaluated), whose terminology has varied enormously in the studies and documents selected, especially for the "domains evaluated" category. This difficulty in harmonizing the taxonomy used in the area has already been reported [ 26 ] and has significant potential to confuse. For this reason, studies and initiatives are needed to align understandings between concepts and, as far as possible, standardize them. Third, in some studies/documents, the information extracted was not clear about the analytical category. This required an in-depth interpretative process of the studies, which was conducted in pairs to avoid inappropriate interpretations.
This study contributes to the literature and clinical practice management by describing models and frameworks specifically used to assess the implementation of CPGs based on their level of use, type of health service, target group related to the CPG, and the evaluated domains. While there are existing reviews on the theories, frameworks, and models used in implementation science, this review addresses aspects not previously covered in the literature. This valuable information can assist stakeholders (such as politicians, clinicians, researchers, etc.) in selecting or adapting the most appropriate model to assess CPG implementation based on their health context. Furthermore, this study is expected to guide future research on developing or adapting models to assess the implementation of CPGs in various contexts.
The use of models and frameworks to evaluate the implementation remains a challenge. Studies should clearly state the level of model use, the type of health service evaluated, and the target group. The domains evaluated in these models may need adaptation to specific contexts. Nevertheless, utilizing models to assess CPGs implementation is crucial as they can guide a more thorough and systematic evaluation process, aiding in the continuous improvement of CPGs implementation. The findings of this systematic review offer valuable insights for stakeholders in selecting or adjusting models and frameworks for CPGs evaluation, supporting future theoretical advancements and research.
Abbreviations.
Australian Department of Health and Aged Care
Canadian Agency for Drugs and Technologies in Health
Centers for Disease Control and
Consolidated Framework for Implementation Research
Cumulative Index to Nursing and Allied Health Literature
Clinical practice guideline
Centre for Reviews and Dissemination
Guidelines International Networks
Getting Research into Practice
Health Systems Evidence
Institute of Medicine
The Joanna Briggs Institute
Ministry of Health of Brazil
Ministerio de Sanidad y Política Social
National Health and Medical Research Council
National Institute for Health and Care Excellence
Promoting action on research implementation in health systems framework
Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation-Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
International Prospective Register of Systematic Reviews
Reach, effectiveness, adoption, implementation, and maintenance framework
Healthcare Improvement Scotland
United States of America
Virtual Health Library
World Health Organization
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Nicole Freitas de Mello, Dalila Fernandes Gomes & Jorge Otávio Maia Barreto
René Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, Minas Gerais, 30190-002, Brazil
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NFM and JOMB conceived the idea and the protocol for this study. NFM conducted the literature search. NFM, SNS, JMG and JOMB conducted the data collection with advice and consensus gathering from JOMB. The NFM and JMG assessed the quality of the studies. NFM and DFG conducted the data extraction. NFM performed the analysis and synthesis of the results with advice and consensus gathering from JOMB. NFM drafted the manuscript. JOMB critically revised the first version of the manuscript. All the authors revised and approved the submitted version.
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Additional file 1: PRISMA checklist. Description of data: Completed PRISMA checklist used for reporting the results of this systematic review.
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Additional file 3: JBI’s critical appraisal tools for cross-sectional studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for cross-sectional studies.
Additional file 4: JBI’s critical appraisal tools for qualitative studies. Description of data: JBI’s critical appraisal tools to assess the trustworthiness, relevance, and results of the included studies. This is specific for qualitative studies.
Additional file 5: Methodological quality assessment results for cross-sectional studies. Description of data: Methodological quality assessment results for cross-sectional studies using JBI’s critical appraisal tools.
Additional file 6: Methodological quality assessment results for the qualitative studies. Description of data: Methodological quality assessment results for qualitative studies using JBI’s critical appraisal tools.
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Measures of patient safety culture and patient experience are both commonly utilised to evaluate the quality of healthcare services, including hospitals, but the relationship between these two domains remains uncertain. In this study, we aimed to explore and synthesise published literature regarding the relationships between these topics in hospital settings.
This study was performed using the five stages of Arksey and O’Malley’s Framework, refined by the Joanna Briggs Institute. Searches were conducted in the CINAHL, Cochrane Library, ProQuest, MEDLINE, PsycINFO, SciELO and Scopus databases. Further online search on the websites of pertinent organisations in Australia and globally was conducted. Data were extracted against predetermined criteria.
4512 studies were initially identified; 15 studies met the inclusion criteria. Several positive statistical relationships between patient safety culture and patient experience domains were identified. Communication and teamwork were the most influential factors in the relationship between patient safety culture and patient experience. Managers and clinicians had a positive view of safety and a positive relationship with patient experience, but this was not the case when managers alone held such views. Qualitative methods offered further insights into patient safety culture from patients’ and families’ perspectives.
The findings indicate that the patient can recognise safety-related issues that the hospital team may miss. However, studies mostly measured staff perspectives on patient safety culture and did not always include patient experiences of patient safety culture. Further, the relationship between patient safety culture and patient experience is generally identified as a statistical relationship, using quantitative methods. Further research assessing patient safety culture alongside patient experience is essential for providing a more comprehensive picture of safety. This will help to uncover issues and other factors that may have an indirect effect on patient safety culture and patient experience.
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Patient safety is a pressing challenge for health systems, globally. The importance of promoting and sustaining a robust safety culture is widely recognised [ 1 ]. The importance of the patient’s role in supporting patient safety is also increasingly recognised [ 2 ]. Despite the prominence of the concepts of patient safety culture and patient experience in academia and industry, the relationship between them remains underexplored and diffuse.
The concept of patient safety culture was defined as a collective of beliefs, attitudes, values, and norms that influence behaviours and attitudes, concerning patient safety [ 3 ]. Patient perspectives are often neglected when measuring safety culture [ 4 ]. Patient experience has been defined as patients’ perspectives of services, recognising that patients are the most valuable sources of information about their experiences [ 5 ].
It is essential to put the patient at the centre of healthcare services [ 6 ], and to do this requires nurturing caring cultures through the assurance that health professionals feel esteemed, involved and supported [ 7 ]. Patients pay attention to staff performance and other issues and can identify safety problems that hospital staff may miss, such as problems entering and exiting the healthcare system, systemic (multiple and distributed) problems that are cumulative, and errors of omission, especially the failure to attend to patients’ concerns [ 2 , 8 , 9 , 10 ]. A cultural change from the conventional approach that considered patients as care recipients, to seeing patients as partners in their care, is essential to provide patient-centred care that is informed by patient experience.
There has been considerable knowledge gained about patient safety, but it persists as a worldwide challenge in healthcare [ 11 ], with serious incidents and iatrogenic harm continuing to occur across health care settings, including within hospital settings. There has been a focus on reducing iatrogenic harm by enhancing safety culture in hospitals.
Understanding patient safety from the staff perspective alone is not enough. It is essential to also understand what factors might link safety culture and patient experience, as concepts often measured separately, but both important indicators of safety and quality. In examining this link, we hope to better understand what facets of care might contribute to both safety culture, as experienced by staff, and the safety and quality of care, as experienced by patients. The aim of this review is to explore and synthesise existing research literature to find out what is known regarding the relationship between patient safety culture and patient experience (of safety and quality) in hospital settings. We sought to achieve this aim through the following objectives: (a) to identify how these concepts have been defined or described in the literature; (b) to identify how these concepts are measured; and (c) to identify the links between the concepts.
This study followed a published protocol [ 12 ]. The methodology of this scoping review was developed using the Arksey and O’Malley [ 13 ] framework for a scoping review (Arksey & O’Malley, 2005), refined by the Joanna Briggs Institute [ 14 ]. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMAScR) [ 15 ] guidelines were followed. The study does not critically appraise the included papers’ quality and risk of bias. The aim in our scoping review is not to evaluate the quality of the evidence found, but rather to explore what research has been done in this field, and what approaches were undertaken.
The processes of searching, applying inclusion and exclusion criteria, screening, data extraction, and reporting of the findings followed a published protocol for this study [ 12 ]. The search terms and strategies appear in the protocol, and searches were completed on 18 June 2022.
This review followed the Population, Concept and Context (PCC) framework for the inclusion criteria recommended by the Joanna Briggs Institute for scoping reviews [ 14 ]. In addition to the PCC criteria noted in Table 1 , included studies must have been conducted in the hospital context and reported in English or Arabic languages.
We searched journals from seven electronic databases relevant to the scope of the study (CINAHL, Cochrane Library, ProQuest, MEDLINE, PsycINFO, SciELO and Scopus); web search engine Google Scholar (first 30 results); and four organisations in Australia and globally: the Agency for Healthcare Research and Quality (AHRQ), the Australian Commission for Safety and Quality in Healthcare (ACSQHC), the Agency for Clinical Innovation (ACI), and National Institutes of Health (NIH). We supplemented these searches with hand-searching the reference lists of the final included papers for additional studies of relevance.
As indicated in the protocol for this study [ 12 ], retrieved papers were screened and selected in two phases. In the first phase, one reviewer (AA) evaluated all titles and abstracts to determine whether each paper met the eligibility criteria, including categorising screened studies as ‘included’, ‘excluded’ or ‘not sure’. All papers screened as ‘included’ and ‘not sure’ in the first phase were considered for full-text review by the reviewer (AA). In the second phase, three reviewers (RH, DD, SH) screened ten per cent of titles and abstracts of studies screened as ‘included’, ‘excluded’ or ‘not sure’ against selection criteria. All authors (AA, RH, DD, SH) independently reviewed the full text of the included studies. The authors discussed the included papers in a meeting and reached a consensus on the included papers, with no disagreement between the authors.
One reviewer (AA) extracted relevant data from the included studies to address the scoping review question using the template provided in the published protocol [ 12 ]. Three reviewers (RH, DD and SH) verified the accuracy of the data extraction exercise. The data extracted included the following:
Aims/objective(s).
Methodology/methods.
Inclusion/exclusion criteria (e.g., PCC).
Types of intervention (if applicable).
Measurement of outcomes (if applicable).
Key results that relate to the review question.
Other concepts related to patient safety culture and patient experience, such as safety climate and patient satisfaction, were used in literature that measured safety culture or patient experience. The nuances of these terms were illustrated in the published protocol. The decision was taken to incorporate findings about safety climate alongside those about patient safety culture, and to incorporate findings about both patient satisfaction and patient experience. We noticed that the ‘patient experience’ and ‘patient satisfaction’ terms are often used interchangeably. For example, a study conducted by Mazurenko et al. [ 16 ] used the term ‘patient satisfaction’ in the paper title but measured patient satisfaction using the HCAHPS tool, which is a well-known tool for measuring ‘patient experience’. In fact, the terms, as operationalised in the instruments, overlap more than they should.
According to Bull [ 17 ], ‘patient satisfaction’ involves an evaluation and hence is subjective, suggesting that ‘patient experience’ is the more objective measure. However, considering the questions in the HCAHPS tool (commonly used for measuring ‘patient experience’ as mentioned above), we see that several questions involve an element of subjectivity and evaluation from the patient’s perspective. For instance, questions like: “During this hospital stay, how often did nurses treat you with courtesy and respect?” or “How often did you get help in getting to the bathroom or in using a bedpan as soon as you wanted?”. The point made by Bull [ 17 ] reflects a tension between the recognised importance of finding out what care is like, from patients’ perspectives (which is subjective and evaluative), and the desire for objective measurements of care delivery for the purposes of comparison and evaluation of health services [ 18 ]. Due to these concepts being so intertwined in how they are understood and measured, and not wanting to limit the understanding of the patient experience only to objective measures devoid of patients’ subjective judgements, papers on patient satisfaction from the review were included, based on the inclusion criteria.
The study sought to review a wide range of literature in relation to the study aim and inclusion criteria. Rather than being a systematic review or meta-analysis, the study aims to offer the reader an overview of the research carried out regarding the relationship between safety culture and patient experience. The characteristics and findings of the included papers were analysed initially by (AA), performing a content analysis, using a framework of categories aligned with the research questions. Within these categories, study features and findings were discussed among all the authors (AA, RH, DD, SH), and descriptively summarised. All authors agreed upon the findings and categories. This descriptive content analysis was found to be sufficient to address the study objectives. Thus, deviating from the published protocol [ 12 ], no further thematic analysis was conducted. The results are presented according to the categories as follows:
Conceptualisations of patient safety culture and patient experience.
Measurement of patient safety culture and patient experience.
Relationship between patient safety culture and patient experience.
As depicted in Fig. 1 , the initial search yielded 4512 articles. After removing duplicates, 3833 articles remained, and 3793 were excluded at the first stage of screening (title and abstract). Following full-text screening, 15 articles remained that met the inclusion criteria. The included studies were conducted in different countries, including Australia (one study) [ 19 ], Canada (two studies) [ 8 , 20 ], Germany (one study) [ 4 ], Indonesia (one study) [ 21 ], Iran (one study) [ 22 ], Israel (two studies) [ 10 , 23 ], Nigeria (one study) [ 24 ], United Kingdom (one study) [ 2 ] and United States (five studies) [ 16 , 25 , 26 , 27 , 28 ]. A summary of the characteristics of the included studies is presented in Table 2 .
PRISMA flowchart of search process and results
Patient safety culture.
In the studies reviewed, patient safety culture was commonly conceptualised as relating to the attitudes, beliefs, perceptions, norms and values that workers share about safety [ 8 , 10 , 24 , 27 ]. These shared characteristics shape healthcare professionals’ understandings of what is essential in a healthcare institution, how they should act, what attitudes or actions are acceptable, and what approaches are rewarded or punished concerning patient safety [ 8 , 10 , 27 ]. Patient safety culture has been identified within the included studies as being central to the behaviour of the individuals, and influences staff proficiency, attitudes and behaviours concerning their safety performance [ 8 , 10 , 27 ].
The reviewed literature also identified patient safety culture as one element of a broader organisational culture, related to preventing and detecting shortfalls in patient safety, and managing patient safety in healthcare settings [ 16 , 20 , 21 ]. The concept of ‘safety climate’ was also prevalent in the literature, and was often used in studies that also described ‘safety culture’ [ 10 , 16 , 19 , 26 , 27 ] without distinguishing between the two concepts.
From our review of the studies, the concept of patient satisfaction was more commonly used than patient experience, and defined as a subjective assessment of the ways those receiving healthcare react to particular relevant elements of treatment, including the process, environment, and outcomes, and this was quantified as representing the degree to which patients believe that their requirements and aspirations were fulfilled by their experiences [ 24 , 26 ]. Although the research that examined patient experience, did not offer specific definitions of the concept, patient experience was conceptualised as a resource for understanding patients’ perceptions, which helps promote the quality and safety of healthcare services [ 2 , 8 , 25 , 27 , 28 ].
The reviewed research frequently refered to the concept of patient satisfaction and ways of measuring it, regarding patient satisfaction as indicative of the effectiveness of organisational performance with regard to patient safety [ 2 , 8 , 25 , 26 , 27 ]. Review of the included studies identified another related concept, customer satisfaction, which is defined as how the individual feels when making a comparison between what they expected and how they regarded what they received; this is regarded as a high-performance target for the delivery of public services [ 21 ]. The variation in the concepts also reflected variation in the measurement tools currently used.
In the research reviewed, patient safety culture was most commonly measured by the deployment of questionnaires. Included studies also presented assessments of the validity of deployed instruments. The most common patient safety culture tool used in the reviewed studies was the Hospital Survey on Patient Safety Culture (HSOPS) [ 2 , 16 , 20 , 22 , 24 , 25 , 27 , 28 ]. The next most common tool used was the Safety Attitudes Questionnaire (SAQ) [ 19 , 26 ]. The SAQ was also combined with the Leadership Effectiveness Survey (LES) to construct a new tool named the Safety Culture and Leadership Questionnaire to assess clinician perceptions of safety, teamwork and leadership [ 19 ].
The HSOPS tool developed by the Agency of Healthcare Research and Quality was employed in included studies to assess clinician and staff perceptions of the culture of safety at the hospital’s macro level [ 16 , 22 , 27 , 28 ]. HSOPS is also used in individual departments within a hospital [ 2 , 20 , 24 , 25 ], and regarded as a reliable and valid tool. The SAQ is another reliable and valid tool employed for the evaluation of patient safety culture [ 26 ]. The safety culture domains in HSOPS and SAQ tools are different but overlapping (Table 3 ).
The use of HSOPS and SAQ tools reflected the overlap in use of the concepts of safety culture and safety climate. For example, HSOPS includes more dimensions of patient safety culture than the SAQ, and both tools were employed to measure ‘patient safety culture’ [ 2 , 16 , 20 , 21 , 24 , 25 , 26 , 27 , 28 ], although the HSOPS was also employed for the measurement of ‘safety climate’ [ 16 ]. In addition, the SAQ includes two dimensions referring to climate: teamwork climate and safety climate [ 29 ]. Importantly however, both the HSOPS and SAQ offer a quantitative measure of patient safety culture from the point of view of staff alone [ 2 , 16 , 20 , 24 , 25 , 26 , 27 , 28 ].
Patient-reported measures of safety were limited and mentioned more frequently in more recent literature. The Patient Measure of Safety (PMOS), Patients’ Perceptions of Safety Culture (PaPSC) and narratives were used in the research reviewed to identify safety concerns from the patient’s perspective and provide data regarding safety matters, including patient safety culture [ 2 , 4 , 8 , 19 ]. Lawton et al. [ 2 ] noted that the PMOS has undergone considerable testing and is generally recognised as having both validity and reliability; it is also popular with patients and allows researchers to assess how patients perceive the ways in which organisational elements influence patient safety within a hospital by collecting patient feedback about contributing factors to safety incidents [ 2 ].
With regard to measuring patient experience, the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) was the most frequently used tool in studies reviewed, and is regarded as a valid and reliable instrument for measuring the ways in which patients perceive their interactions with the hospital, and can be used by government as a tool for assessing hospital funding [ 16 , 25 , 26 , 28 ]. HCAHPS (also referred to as Hospital CAHPS) asks the patient to report on their recent experiences with inpatient care [ 16 , 25 , 26 , 28 ]. The HCAHPS tool measures the following domains: nurse communication, doctor communication, pain management, staff responsiveness, hospital environment, communication about medicine, discharge information, and overall patient perception [ 16 , 25 , 26 , 28 ]. Similarly to the overlapping concepts described with the safety culture surveys earlier, the HCAHPS has been employed for the measurement of both patient satisfaction [ 16 , 26 ] and patient experience [ 25 , 28 ]. Other feedback tools such as the Patient Satisfaction Questionnaire Short Form (PSQ) [ 24 ], the Friends and Family Test (FFT) [ 2 ] and Family Satisfaction in the Intensive Care Unit questionnaire (FS-ICU-24) [ 20 ] were used for measuring patient feedback and perception of care in our reviewed studies.
Finally, only one study in our review used a qualitative method to examine patient experience; drawing on pre-recorded video narratives published on the Canadian Patient Safety Institute website [ 2 ].
In the research reviewed, the relationship between patient safety culture and patient experience was generally identified and presented as a statistical correlation [ 2 , 16 , 24 , 25 , 26 , 27 , 28 ]. Positive correlations were found between some domains of patient safety culture and patient experience (Table 4 ) [ 2 , 8 , 20 , 21 , 23 , 25 , 28 ]. The teamwork and communication domains seem to be central to positive correlations between patient safety culture and patient experience [ 8 , 16 , 25 , 26 , 27 ]. Other studies reviewed demonstrated no correlation between patient safety culture and patient experience overall scores [ 2 , 24 , 26 ].
Staff responsibilities, including direct contact with patients, may affect the relationship between patient safety culture and patient experience. For instance, no significant correlation was found between patient satisfaction and safety climate when management alone had a highly positive view of the safety climate [ 16 ]. However, when management and clinicians both had a positive view of the safety climate, there was a positive correlation. The FFT tool that measured patient experience was correlated with the ways patients perceived safety issues but was not correlated with either the staff safety culture or publicly available safety data [ 2 ]. From the sole qualitative study, we find that structuring safety and quality based on teamwork among healthcare professionals, patients, and family members is a more effective approach than relying on the individual healthcare practitioner alone [ 8 ]. Also, patients’ and families’ involvement is essential for creating a trusting relationship, which helps create an inviting environment that facilitates and encourages open communication and coordination among staff and patients [ 8 ]. Finally, conversation between staff, patients and families is crucial to capture different views of safety and better understand safety culture, particularly from the patient’s perspective.
The research under review also frequently examined how patient safety culture and patient experience, either individually or in combination, were related to other quality measures such as hospital performance, however this is outside of the scope of our review.
The concepts “safety culture” and “safety climate” were used interchangeably in the reviewed literature, which reflects their overlap in the broader literature, although these concepts are also sometimes differentiated. Patient safety culture tends to refer more broadly to the complex set of shared perceptions about safety that form over time in an organisation, while safety climate is considered ‘a snapshot’ of these shared perceptions, that can be measured at a specific time point using survey studies [ 29 , 30 ].
In the reviewed studies, the use of the terms patient experience and patient satisfaction also significantly overlapped. The two terms are recognised quality indicators for assessing healthcare quality, and while both concepts are related, they have also been differentiated [ 31 ]. Although the reviewed studies did not offer specific definitions, patient experience has been described elsewhere as patient “perceptions of phenomena for which they are the best or only sources of information, such as personal comfort or effectiveness of discharge planning” [5 p1]. While patient experience is viewed as the sum of all interactions that influence patient perceptions over the entire experience [ 32 ], as noted earlier, patient satisfaction is more about whether patients’ expectations are met [ 33 ]. In this regard, patient satisfaction is viewed as evaluating the patient experience of health services. Therefore, patients’ perception of what they actually experienced in healthcare organisations (patient experience) has an influential impact on how they evaluate healthcare services (patient satisfaction).
The relationship identified between patient safety culture and patient experience in the reviewed literature is mostly measured by quantitative approaches/surveys, and thus little is known about causality or the underlying reasons (or mechanisms) for any relationship identified between these concepts. The availability, validity and reliability of the surveys such as HSOPS and HCAHPS may facilitate and encourage the use of questionnaires in busy working environments such as hospitals. However, the significant differences and variations in methodologies/tools (including dimensions captured by the instruments) employed to measure safety culture and patient experience, makes it difficult to compare the different items of research, and results in variations in the findings.
Our review findings support research arguing that patients can provide useful feedback on safety [ 34 ]. Patient voice is increasingly included in other aspects of patient safety, but we need to include it more in the measurement of safety culture. In fact, some measures of patient experience pay attention to safety, for instance, in terms of physical comfort and a safe environment, which are also domains of patient safety culture. It was recognised in the included studies that instruments for assessing patient perceptions could be adapted to incorporate questions regarding patient safety, such as PMOS and PaPSC. This would enable patient perceptions and experience of safety to be assessed and the findings employed to effect enhancements in safety culture.
The PMOS and PaPSC scales were developed specifically to capture patients’ feedback on the safety of their care. The PMOS is based on the Yorkshire Contributory Factors Framework (YCFF) to capture patient feedback regarding the contributing factors to patient safety incidents [ 35 ]. However, the YCFF was developed based on input from healthcare professionals alone [ 36 ]. Likewise, the PaPSC scale was also initially developed based on staff perceptions. Although these scales are administered to patients, they may not fully reflect the patients’ perceptions of safety culture, if patients identify other aspects. In addition, the PMOS data was collected from one hospital in northern England; as such, the outcomes of the survey are not reflective of the perceptions of the general global population.
Another measurement approach for capturing patient perceptions of safety culture is to consider patients’ and families’ pre-recorded narratives as a qualitative assessment method [ 8 ]. This approach was limited in terms of inability to ask questions or follow-up with the participants, and the analysis was based on a revised or edited perspective that could carry certain biases. However, this study demonstrated the value of patient narratives and interviews in understanding the interrelationships between different aspects of patient safety culture. In contrast to surveys, qualitative interviews aim to understand participants’ attitudes, behaviours, experiences and perceptions. Qualitative research methods are common in healthcare research, but are largely missing in research into the association between safety culture and patient perceptions of safety culture.
No consensus exists as to the best method to be employed for the measurement of the concepts in question. Different measurements have been employed for each concept for various purposes, resulting in variations in data sources, and variations in results. Consequently, to create useful and usable data, there is a need to adopt measurement methods that are reliable, comparable and valid, for examining the relationship between patient safety culture and patient experience, such as the HSOPS and HCAHPS. It is also useful to consider qualitative investigation when exploring the relationship between these concepts.
Several relationships between patient experience and safety culture subdomains were identified in the included studies (Table 4 ). This suggests that staff and patient views on aspects of safety can be usefully incorporated and examined together. For example, the communication between staff and patients, and the coordination within and across hospital departments. According to Doyle, Lennox, and Bell [ 37 ], the smooth coordination (integration) of care is a key and valued aspect of the patient experience.
In this review, we found that the conceptual relationship between patient safety culture and the patient experience was not clearly described. The differences and overlaps between concepts, results, or measurement tools makes it difficult to understand the relationship between patient safety culture (among health professionals and managers) and patient experience. Future investigations may benefit from the development of a conceptual framework that allows researchers to test and develop their understandings of how patients’ experiences intersect with safety culture. We know that patient experience and safety culture are both valuable quality indicators. Better understanding how they are associated will enable healthcare staff to comprehend patient needs and create an effective strategy for enhancing patient safety culture that aligns with patients’ needs.
This scoping review has offered an overview of extant research regarding the association between patient experience and patient safety culture within the hospital context, and identified potential associations between the two concepts. However, the included studies have been conducted in limited countries, and generally assessed the relationship between these two concepts using quantitative methods. It may be the case that in other countries or cultures, the type of relationship could vary. Differences in ethnicity and national cultures could play an important role in patient experience. For instance, it was recognised in the reviewed literature, that Arab patients reported lower patient satisfaction levels compared with other ethnic groups within the same setting [ 10 ]. Therefore, it is important to consider other elements that may have an indirect effect on patient safety culture and patient experience, particularly in ethnic or national cultures where this relationship has not yet been investigated. Likewise, other factors related to the organisation could impact the relationship between the concepts. For example, the accreditation status of a facility has been shown to have a significant positive relationship with patient satisfaction [ 21 ].
It has been demonstrated that the terms “safety culture” and “safety climate,” as well as “patient experience” and “patient satisfaction” are not always consistently applied across research, with the concepts not often being clearly defined, lacking a theoretical basis for the relationship, not being widely investigated with qualitative methodologies and with considerable diversity in terms of the tools and methodologies employed. The outcomes of this review suggest that research into the association between patient safety culture and patient experience needs to be investigated by using a suitable theoretical framework, in combination with validated methods, and supported by qualitative inquiry, in order to investigate this relationship more comprehensively, particularly in contexts where such investigations have not taken place.
While the literature search was conducted in major electronic databases without restrictions on date of publication or country of origin, additional relevant resources not in English or Arabic languages are likely to have been missed. This may lead to a language bias and limit the chance of capturing different perspectives from diverse communities to obtain a comprehensive understanding of the research phenomena, impacting the findings’ generalisability. Further, in accordance with the scoping review methodology of Arksey and O’Malley, a quality assessment was not conducted. Thus, it would be challenging to determine the validity of the reported findings due to the lack of quality assessment. These limitations are common in scoping reviews.
Not applicable.
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews
Population, Concept and Context
The Agency for Healthcare Research and Quality
The Australian Commission for Safety and Quality in Healthcare
The Agency for Clinical Innovation
National Institutes of Health
The Hospital Survey on Patient Safety Culture
The Safety Attitudes Questionnaire
The Patient Measure of Safety
The Hospital Consumer Assessment of Healthcare Providers and Systems
The Patient Satisfaction Questionnaire Short Form
The Friends and Family Test
Family Satisfaction in the Intensive Care Unit questionnaire
The Yorkshire Contributory Factors Framework
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The authors wish to acknowledge the librarians at the University of Technology Sydney for providing support in developing the search strategy for this study. The authors acknowledge the Gadigal of the Eora Nation, the traditional custodians of the land on which this study was conducted, and pay our respects to the Elders both past and present.
The first author is funded for a PhD scholarship from Imam Abdulrahman Bin Faisal University, Saudi Arabia.
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Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
Adel Alabdaly
College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia
School of Applied Psychology, Griffith Health Group, Griffith University, Brisbane, QLD, Australia
Reece Hinchcliff
School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
School of Public Health, University of Technology Sydney, Sydney, NSW, Australia
Deborah Debono & Su-Yin Hor
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A.A conceived and wrote the original manuscript. R.H, D.D and S.H reviewed and edited the manuscript. All authors read and approved the final manuscript.
Correspondence to Adel Alabdaly .
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Affiliation College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
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Affiliation College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia
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Affiliation College of Social Science Bahir Dare University, Bahir Dare, Ethiopia
Despite effectiveness of antiretroviral therapy in reducing mortality of opportunistic infections among HIV infected children, however tuberculosis (TB) remains a significant cause for morbidity and attributed for one in every three deaths. HIV-infected children face disproportionate death risk during co-infection of TB due to their young age and miniatures immunity makes them more vulnerable. In Ethiopia, there is lack of aggregated data TB and HIV mortality in HIV infected children. We conducted an extensive systematic review of literature using Preferred Reporting of Systematic Review and Meta-Analysis (PRISMA) guideline. Five electronic databases were used mainly Scopus, PubMed, Medline, Web of Science, and Google scholar for articles searching. The pooled proportion of TB was estimated using a weighted inverse variance random-effects meta-regression using STATA version-17. Heterogeneity of the articles was evaluated using Cochran’s Q test and I2 statistic. Subgroup analysis, sensitivity test, and Egger’s regression were conducted for publication bias. This met-analysis is registered in Prospero-CRD42024502038. In the final met-analysis report, 13 out of 1221 articles were included and presented. During screening of 6668 HIV-infected children for active TB occurrence, 834 cases were reported after ART was initiated. The pooled proportion of active TB among HIV infected children was found 12.07% (95% CI: 10.71–13.41). In subgroup analysis, the Oromia region had 15.6% (95%CI: 10.2–20.6) TB burden, followed by southern Ethiopia 12.8% (95%CI: 10.03–15.67). During meta-regression, missed isoniazid Preventive therapy (IPT) (OR: 2.28), missed contrimoxazole preventive therapy (OR: 4.26), WHO stage III&IV (OR: 2.27), and level of Hgb ≤ 10gm/dl (OR = 3.11.7) were predictors for active TB. The systematic review found a higher proportion of active TB in HIV-infected children in Ethiopia compared to estimated rates in end TB strategy. To prevent premature death during co-infection, implement effective TB screening and cases tracing strategies in each follow up is needed.
Citation: Kebede Bizuneh F, Tsegaye D, Negese Gemeda B, Kebede Bizuneh T (2024) Proportion of active tuberculosis among HIV-infected children after antiretroviral therapy in Ethiopia: A systematic review and meta-analysis. PLOS Glob Public Health 4(8): e0003528. https://doi.org/10.1371/journal.pgph.0003528
Editor: Sanghyuk S. Shin, University of California Irvine, UNITED STATES OF AMERICA
Received: November 28, 2023; Accepted: July 3, 2024; Published: August 2, 2024
Copyright: © 2024 Kebede Bizuneh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: TB, uberculosis; WHO, World Health Organization; FMOH, Federal Ministry of Health; HIV, human immune deficiency virus; HAAR, highly active antiretroviral therapy; IPT, isoniazid preventive Therapy; CPT, co-trimoxazole preventive therapy
People living with the Human Immune deficiency virus (PLHIV) are more susceptible to tuberculosis (TB), which is a leading cause of mortality [ 1 , 2 ]. There is a strong synergy between HIV infection and TB, while PLHIV is at high risk of dying from TB and HIV infection is the biggest risk factor for active TB incidence through declining cellular immunity and increased endogenous reactivation of latent TB bacilli in the lungs [ 3 , 4 ]. HIV infected children are at increased risk of acquiring active TB. HIV-infected persons are sixteen times more likely to be co-infected by TB disease as compared to HIV-negative person [ 5 ].
Tuberculosis continued to be the leading cause of morbidity and mortality for people living with HIV (PLHIV) worldwide [ 6 ]. Globally, in 2022, an estimated 1.3 million children (aged 0–14 years) were diagnosed with TB, accounting for approximately 12% of the total TB cases of 10.6 million [ 5 , 7 ]. The co-infection of HIV and TB is particularly dangerous, with around 214,000 children dying from TB disease in 2022 where 31,000 of those were attributed to children TB and HIV infections [ 5 ]. The burden of TB infection varies significantly across each continents, African and Southeast Asian regions attributed for 81% of global TB deaths in 2022 [ 8 ]. In Sub-Saharan African countries, 10% to 15% of HIV-infected children suffer from the dual burden of HIV and TB, with a lifetime risk of 21% and two-thirds of cases remain undiagnosed [ 5 , 9 – 11 ].
By the end of 2022, only 46% of children (aged 0–14 years) who were receiving antiretroviral therapy (ART) were able to achieve viral load suppression, which is a crucial factor in reducing the occurrence of new opportunistic infections [ 5 , 8 , 11 ]. However, TB infection remains responsible for one in every third deaths of HIV infected children in source-limited setting [ 7 , 12 , 13 ]. Ethiopia is one of the top 30 countries burdened by tuberculosis (TB) and experiences a significant distribution of TB and HIV co-infection across all regions. The incidence rates was estimated as 0.17 cases per 1000 population for HIV and 1.64 per 1000 for TB [ 1 , 2 ]. Previous national level study finding among 1,830,880 HIV and 192,359 TB patients reported,7.34% of TB patient had HIV infection with a significant regional variation across regions [ 14 ]. The prevalence of TB/HIV co-infection varies considerably in across each regions including 7.2% in Amhara region (Northern Ethiopia) [ 15 ] to 23.6% southern Ethiopian (SNNR) [ 16 ]. The differences in healthcare accessibility and socio-demographic factors including wealth index and literacy rate contribute to variations in TB/HIV co-infection prevalence [ 14 ]. HIV-infected children face a higher risk of morbidity and mortality during co-infection due to their young age and immature immune makes them more vulnerable [ 4 , 17 ].
Previous studies finding in Ethiopia [ 7 , 18 , 19 ] reported that multifactorial causative factors were attributed for active TB occurrence among HIV infected children including underweight, advanced WHO clinical stages, missed IPT and CPT [ 5 , 7 , 13 , 20 ]. However, CD4 count being ≤200 cells/ml serves as a proxy indicator for incidence of active TB [ 13 ]. Concomitant administration of ART with isoniazid preventive Therapy (IPT) had significantly effect of reducing active TB cases by over 80% HIV infected Children [ 21 ]. However, IPT completion rate and adherence of ART has affected by caregivers and regimen characteristic [ 18 ]. Although several small-scale studies have reported on the epidemiology of TB/HIV co-infection among HIV-infected children in various parts of Ethiopia [ 5 , 12 , 13 ]; however, there is a lack of aggregated data on co-infection after HIV-infected children started antiretroviral therapy. Therefore, this systematic review and meta-analysis aimed to estimate the pooled burden of active TB among HIV-infected children.
This study was conducted in Ethiopia from January 1, 2013, to December 30, 2022, spanning a period of 10 years. In Ethiopia, there are nine regions including Tigray, Afar, Amhara, Oromia, SNNR, Somalia, Gambella, Benishangul Gumuz, Harari and two city administrative [ 13 ].
The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline was followed to report the findings of the selected articles presented clearly described in ( S1 Checklist ) [ 22 ].
Additionally, this systematic review and meta-analysis have registered in the Prospero protocol with CRD42024502038 ( https://www.crd.york.ac.uk/prospero/#recordDetails ).
Furthermore, this systematic review was used five international electronic databases were mainly used including Scopus, PubMed, Medline, Web of Science, and Google scholar. The searching was focused on English language published articles and the searching was done. We employed controlled vocabulary terms (MeSH) and free text to extract articles ( S1 Text ) .
The search included topics such as active tuberculosis, pulmonary TB, extra pulmonary TB, HIV infection, individuals, children, pediatrics, neonates, lymphadenitis, disseminated TB, and Ethiopia. The search terms used to identify relevant studies included "Epidemiology" OR "Incidence" OR "Case fatality" "Tuberculosis" OR "Pulmonary Tuberculosis" OR "Disseminated Tuberculosis" OR "Lymphadenitis" AND "HIV" OR "AIDS" AND "Children" OR "Pediatrics" OR "Infant" AND "Ethiopia". Furthermore, this systematic review and meta-analysis employed the PICO (Population, Intervention, Comparison, and Outcomes) framework to assess the eligibility of the articles and enhance evidence-based medicine and research by facilitating the structuring of clinical or research questions. This included as follows (P) Population of interest: Children living with HIV on anti-retroviral therapy in Ethiopia,(I) Intervention; all children HIV infected children started Anti-retroviral therapy, (C) Comparison; children without active TB with stand on HIV cohort (O) Outcome of interest: active TB in HIV-infected children found in Ethiopia were used for PICO frameworks.
Inclusion criteria..
This systematic review and meta-analysis report had included a given articles with defined outcome of any TB types in HIV infected children with the following inclusion criteria. 1) scientific papers reporting co-infections of TB and HIV in HIV-infected children in Ethiopia, 2) articles containing burden or incidence reports of active TB in HIV-infected children, 3) studies published within the past ten years with cross-sectional or cohort designs and published in English, and 4) study subjects limited to children aged ≤15 years.
Studies that reported lacking abstracts and/or full-text, anonymous reports, editorials, and qualitative studies were excluded from the analysis. Furthermore, prior to the analysis, unfitted articles without a journal name and/or author, lacked the year of publication, and citations without abstracts and/or full-text were removed.
The first outcome was the proportion of active TB cases (including all types of TB) among HIV infected children after anti-retroviral therapy. The proportions of TB burden was calculated by the number of children who developed active TB during on ART treatment divided by the total children from thirteen study and multiplied it by 100. Identifying independent predictors for active TB occurrence in HIV infected children on ART was the second objective. Accordingly, we collected significant predictors reported from included articles with their adjusted odd ratio with its 95% confidence interval was extracted from original studies and to computed the pooled odds ratio for final predictors.
Advanced hiv disease..
Defined as WHO clinical stages III and IV in children older than five years. However, in children younger than five years living with HIV, they are considered to have advanced HIV disease regardless of their clinical stages. Mild WHO clinical stages refer to stages II and I in HIV-positive children. ART adherence for children; is categorized as follows: Good (>95%) if ≤2 doses are missed out of 30 doses or ≤3 doses out of 60 doses and Fair (85–94%) if 3–4 doses are missed out of 30 doses and poor (<85%) if >5 doses are missed out of 30 doses of ART drug [ 23 ].
Four Authors (FK, BN, DT, and TK) extracted articles and evaluated the quality of each study by determining the eligibility based on given criteria for selection of studies. The discussion was used to settle any disagreement or uncertainty that arose during the article extraction and removing duplication process. These reviewers assessed the full-text articles; if one or more of them believed an article could be significant, it qualified after the article was carefully examined its titles, abstracts, and full text by three authors (FK, TK, and DT) used a Microsoft Excel spreadsheet to extract the specifics of each article. Three independent reviewers assessed each included article’s quality using the JBI checklists given for all articles as described in ( S1 Table ) [ 24 , 25 ]. All eligible studies approved by all authors’ agreements about principal investigators, year of publication, study period, study setting, study population, and sample size retrieved from the identified articles. The biases of primary studies checked, assessed and screened by three authors (FK, BN and TK), evaluated, and screened ( S2 Table ). Any disagreements among reviewers regarding the critical appraisal were settled through discussion and building consensus for submission.
Using End-Note Aversion 8.1, all detected and potentially suitable published article citations were exported and gathered; duplications were eliminated during the selection and screening processes. Two independent reviewers (FK, and TK) first reviewed the abstracts of the publications before moving on to the full-text articles, which they then evaluated following the particular standards for ultimate inclusion and modifying the data on a Microsoft Excel spreadsheet, and employed the STATA version 17 for further analysis. Descriptive statistics, and weighted inverse variance random-effects meta-regression were used to present the review’s results to estimate pooled burden of active TB in HIV infected children [ 26 ]. The eligible articles were extracted using Meta-XL Excel version 5.3sheet [ 27 ] using identified risk factors from each selected studies and made combined each categorical variables and estimated risk factors for active TB [ 26 ]. The Higgs I 2 statistics were utilized to detect heterogeneity among studies and elaborated using Cochran’s Q test [ 28 ]. The degrees of statistical heterogeneity between the studies were assessed using I2 statistics; values of 25%, 50%, and 75% were thought to indicate modest, medium, and high levels of heterogeneity, respectively [ 38 ]. The source of heterogeneity among studies was examined using the subgroup and sensitivity analysis. The random effect regression model was used for the data-identified heterogeneous analysis [ 26 ]. The publication biases were assessed by visual inspection of funnel plots of the graph and quantitative using Egger’s weighted regression at p <0.1 [ 29 , 30 ].
A total of 1221 primary studies were identified including 43 from Web of Science, 631 from PubMed, 352 from Medline, 15 from Scopus, and 162 articles from Google Scholar. After care full screening throughout the articles titles and abstracts, 1208 articles excluded. Thirteen (N = 13) individual studies that met inclusion criteria were included for the final meta-analysis reported [ 4 , 15 – 17 , 31 – 39 ] as presented and described in PRISMA diagram ( Fig 1 ) .
https://doi.org/10.1371/journal.pgph.0003528.g001
Regarding to include articles description all are published in scientific journals from December 30, 2012 to January 1 st , 2023. Regionally seven(N = 7)of articles among eligible articles were from Amhara region (Northern parts of Ethiopia) [ 15 , 31 – 33 , 38 , 39 ] and three articles were from southern nation nationalities region (SNNRs) of Ethiopia [ 16 , 34 ], two of the remaining articles were from Benishangul Gumuz (North west) part of Ethiopia [ 4 , 17 ], and one were from Oromia [ 37 ] regions which is clearly described in ( Table 1 ) .
https://doi.org/10.1371/journal.pgph.0003528.t001
From included 13 individual studies, 6668 HIV infected children were participated and 834 cases of TB among HIV, infected children reported. The mean (±SD age of the participants was reneged from 8.2(±3.6) years. Of the total, nine(9/13) included articles were employed cohort design [ 16 , 17 , 32 , 34 , 38 , 39 ], whereas four of the included articles data were collected by correctional recorded review of follow up design [ 4 , 15 , 31 , 35 , 38 ] were used. The highest number of active TB cases (23.6%) was reported from the SNNPR region (Southern Ethiopia) [ 16 ] and the lowest number (7.2%) of active TB cases was from Amhara region (North West Ethiopia) [ 15 ] regions respectively.
In the final meta-analysis report, utilizing 13 published studies, we discovered that the estimated pooled burden of active TB among HIV-infected children in Ethiopia was 12.1% (95% CI: 10.7–13.4; I 2 = 63.4%, P = 0.001) as described in ( Fig 2 ) .
https://doi.org/10.1371/journal.pgph.0003528.g002
In our final report, there was significant heterogeneity observed among the studies included in the meta-analysis (I2 = 63.4%, P <0.001 as depicted in pooled proportion of active TB in HIV infected children. Accordingly, the pooled TB prevalence was slightly lower in hospital setups at 11.05% (95%CI: 9.4–12.3) compared to health center studies, which reported 14.1% (95%CI: 11.74–16.33) ( Fig 3 ). Likewise, the pooled TB burden among HIV-infected children was significantly higher in studies conducted in the Oromia region at 15.6% (95%CI: 10.2–20.6) compared to studies included from the SNNR, which had a result of 12.8% (95%CI: 10.03–15.67) as described in ( Fig 3 ) .
https://doi.org/10.1371/journal.pgph.0003528.g003
In this report, the duration of follow-up periods was found to be significantly associated with the occurrence of active TB. Sub-group analysis revealed that the pooled burden of TB among HIV-infected children with a follow-up period of ≤10 years was significantly higher at 13.67% (95%CI: 11.24–15.1) compared to those with a follow-up period of >10 years, which had estimation of 10.9% (95%CI: 9.1–12.8) as described in ( Fig 4 ) .
https://doi.org/10.1371/journal.pgph.0003528.g004
In this systematic review, to identify factors associated with active TB we analyzed adjusted odds ratios from primary studies and made grouped significant categorical variables from previous studies by themes, including WHO advanced clinical stages (III&IV), baseline CD4 count, missed isoniazid preventive therapy (IPT), missed cotrimoxazole preventive therapy (CPT), level of hemoglobin, antiretroviral therapy (ART) adherence status, and functional status of children. But, it is noted that only missed IPT, missed CPT, WHO advanced clinical stages (III&IV) and level of hemoglobin were found predictors for TB as shown in ( Table 2 ) .
https://doi.org/10.1371/journal.pgph.0003528.t002
Accordingly, studies containing HIV infected children who missed IPT was double fold increase the odds of active TB occurrence compared with ever given children (OR: 2.28; 95% CI: 1.99–3.08) and also the likelihood of active TB occurrence in HIV infected children who are on advanced WHO clinical stage (III&IV) was 2.27 times (OR: 2.27; 95% CI: 1.81–2.73) higher than with children were on WHO clinical stage II and I. Furthermore, the probability of TB co-infection for HIV-infected children was 3.11 times higher (OR = 3.11, 95% CI: 1.57–4.7) for cases having hemoglobin≤10 mg/dl compared to children with a Hgb >10 mg/dl as described in ( Fig 5 ) . Furthermore HIV-infected children who missed CPT had 4 time higher odds of TB co-infection than counter group (OR: 4.26, 95% CI: 3.47–5.28) clearly depicted in ( Fig 6 ) .
https://doi.org/10.1371/journal.pgph.0003528.g005
https://doi.org/10.1371/journal.pgph.0003528.g006
The publication bias was assessed graphically using funnel plots, and the findings revealed no systematic deviation as depicted in ( Fig 7 ) .
https://doi.org/10.1371/journal.pgph.0003528.g007
In addition, Quantitative analysis we had conducted and assessed using Begg’s and Egger’s tests for biases. Egger’s regression was performed, and the report indicated the absence of publication bias for using two factors sample size and follow up periods as elaborated in ( Table 3 ) .
https://doi.org/10.1371/journal.pgph.0003528.t003
This systematic review and meta-analysis revealed the pooled burden of active (TB) among HIV-infected children in Ethiopia and further identified predictors associated with active TB.
In the final report of 13 individual studies with including 5834 participants, 834 TB and HIV co-infected cases were found at national level. This made the pooled estimated prevalence of active TB was 12.07% (95%CI: 10.73–13.4). This finding is higher than previously reported 0.78% in Ethiopia [ 40 ], 43% in SSA countries [ 41 ], and 1.03% in Portugal [ 42 ]. The findings indicate a significantly high burden of active and need for immediate attention to meet the targets set by the End TB Strategy to achieved the goal of a 90% reduction should to be (≤ 10 TB cases per 100,000 population) by 3035 requires urgent action [ 1 , 2 ]. Conversely, this report is lower than the previous meta-analysis finding 15% in middle-income countries [ 43 , 44 ] and 32% meta-analysis reported in Nigeria [ 45 ]. The variation in the pooled estimate of active TB among the included studies may be attributed to differences in study time TB control measures, and variations among the studies in Nigeria and in Ethiopia [ 46 ].Also the variation in healthcare infrastructure, treatment practices, and regional differences also influence pooled prevalence rates.
This systematic review and meta-analysis revealed that HIV-infected children with advanced WHO clinical stage (III&IV) have a twofold increased likelihood of experiencing active TB compared with mild advanced WHO clinical stage. This finding is supported by previous meta-analyses conducted in Ethiopia [ 47 – 50 ]. This possible justification for this finding is that children with advanced HIV disease may have compromised immune systems due to their clinical stage III&IV, which is associated with low CD4 counts and could lead to an increased risk of developing opportunistic infections, including TB [ 51 ].
The report of this meta-analysis revealed that, the risk of developing active TB was four fold increased for HIV infected children with Hgb ≤10 gm/dl than in those with Hgb >10 gm /dl. This is consistent with the previous study finding [ 52 – 54 ]. This could be attributed to the fact that anemia can indeed impair the immune response and the bactericidal activity of leukocytes, making individuals more vulnerable to infections, including tuberculosis.
The odds of developing active TB among HIV infected children who missed CPT had a four-fold risk as compared ever given children. This is consistent with previously reported meta-analysis in finding in Ethiopia [ 53 , 55 , 56 ]. This might be due to cotrimoxazole, is prescribed to HIV-infected children to prevent lethal opportunistic by preventing production of nucleic acids and proteins essential for the growth of opportunistic infections including PCP, and toxoplasmosis thus helping to counteract immunosuppression and disease progression.
Consistent with previous studies finding in [ 12 , 17 , 32 , 33 , 38 , 57 – 60 ],concurrent administering of IPT after ruled-out of active TB symptoms with ART demoted more than 90% of active TB-associated incidence of morbidity [ 3 , 61 , 62 ]. In the final report of this systematic review and meta-analysis, it was found that HIV-infected children who did not receive IPT (preventive therapy) were at a twofold higher risk compared to the control group. This might be IPT (Isoniazid Preventive Therapy) has the potential to reduce the burden of latent mycobacteria in the lungs. This is because Isoniazid preventive therapy can effectively stop the progression of latent TB infection from developing into active TB disease [ 17 , 63 ].
In contrast to previous systematic review findings [ 53 , 55 ] and primary studies reported [ 12 , 17 , 32 , 33 , 38 , 57 – 60 ] this meta-regression found no significant association between declined CD4 count (≤200 cells/cml), age of patients, duration of follow-up, comorbidity status, and functional status with the risk developing active TB in HIV co-infection children. This might be related to the methodological differences, heterogeneity of included study populations, sample size limitations, publication bias, unaccounted factors, and further experimental studies are highly needed to better understand this relationship.
The strengths of this study include an extensive search strategy, clear inclusion criteria, and the involvement of five independent authors in the quality, inclusion and analysis for this systematic review and meta-analysis. However, there are several methodological limitations including focusing on articles published only on English were included and the extracted articles were from four Ethiopian regions were included in the analysis, such that some of the region may not be represented. In addition, limitations such as reliance on clinical stratification or non-laboratory-supported staging, sub-standard diagnostic capacities in health facilities, a small number of included studies, and the use of retrospective data may potentially affect the validity of the results.
This systematic review found a higher prevalence of active TB in HIV-infected children in Ethiopia compared to the estimated rates in the end TB strategy. Risk factors for active TB were identified included WHO clinical stages IV and III, low hemoglobin, missed IPT, and missed CPT were predictors. To reduce the risk of active TB, it is crucial to implement effective strategies such as regular IPT mission and addressing the gaps in treatment, and routine screening for active TB during follow-ups to prevent premature death.
S1 checklist. prisma 2020 chiecklist..
https://doi.org/10.1371/journal.pgph.0003528.s001
https://doi.org/10.1371/journal.pgph.0003528.s002
https://doi.org/10.1371/journal.pgph.0003528.s003
https://doi.org/10.1371/journal.pgph.0003528.s004
Author contributions.
Fassikaw Kebede Bizune’s ; Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing–original draft, Writing–review & editing.
Dejen Tsegaye’s ; Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization.
Belete Negese; Resources, Software, Supervision, Validation, Visualization, Writing -review & editing.
Tsehay Kebede’s Bizueneh: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Validation, Visualization, Writing–original draft, Writing–review & editing.
Objective During the last decade, the management of gastric intestinal metaplasia (GIM) has been addressed by several distinct international evidence-based guidelines. In this review, we aimed to synthesise these guidelines and provide clinicians with a global perspective of the current recommendations for managing patients with GIM, as well as highlight evidence gaps that need to be addressed with future research.
Design We conducted a systematic review of the literature for guidelines and consensus statements published between January 2010 and February 2023 that address the diagnosis and management of GIM.
Results From 426 manuscripts identified, 15 guidelines were assessed. There was consistency across guidelines regarding the purpose of endoscopic surveillance of GIM, which is to identify prevalent neoplastic lesions and stage gastric preneoplastic conditions. The guidelines also agreed that only patients with high-risk GIM phenotypes (eg, corpus-extended GIM, OLGIM stages III/IV, incomplete GIM subtype), persistent refractory Helicobacter pylori infection or first-degree family history of gastric cancer should undergo regular-interval endoscopic surveillance. In contrast, low-risk phenotypes, which comprise most patients with GIM, do not require surveillance. Not all guidelines are aligned on histological staging systems. If surveillance is indicated, most guidelines recommend a 3-year interval, but there is some variability. All guidelines recommend H. pylori eradication as the only non-endoscopic intervention for gastric cancer prevention, while some offer additional recommendations regarding lifestyle modifications. While most guidelines allude to the importance of high-quality endoscopy for endoscopic surveillance, few detail important metrics apart from stating that a systematic gastric biopsy protocol should be followed. Notably, most guidelines comment on the role of endoscopy for gastric cancer screening and detection of gastric precancerous conditions, but with high heterogeneity, limited guidance regarding implementation, and lack of robust evidence.
Conclusion Despite heterogeneous populations and practices, international guidelines are generally aligned on the importance of GIM as a precancerous condition and the need for a risk-stratified approach to endoscopic surveillance, as well as H. pylori eradication when present. There is room for harmonisation of guidelines regarding (1) which populations merit index endoscopic screening for gastric cancer and GIM detection/staging; (2) objective metrics for high-quality endoscopy; (3) consensus on the need for histological staging and (4) non-endoscopic interventions for gastric cancer prevention apart from H. pylori eradication alone. Robust studies, ideally in the form of randomised trials, are needed to bridge the ample evidence gaps that exist.
Data are available on reasonable request. All data analysed are available in proper databases depending on publisher.
https://doi.org/10.1136/gutjnl-2024-333029
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MD-R and SS contributed equally.
Contributors MD-R, SS and EME-O developed the protocol, conducted the review and revised the final draft of the manuscript. All the authors collected data, provided input for the protocol and revised the draft of the manuscript, approving the final version. MD-R, SS and EME-O are the guarantors.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors. JB is supported by the UK Medical Research Council in the context of the Clinical Academic Research Partnership (MRC CARP) scheme (Grant ref.: MR/W029960/1).
Competing interests No conflicts of interest are declared by MD-R, SS, HE-S, MB, NU, HT, LGC, DL, EL, AR, J-YF, LM, JB, EJK, EME-O. PM is a member of advisory board/lecturer of Aboca, Alfasigma, Allergosan, Bayer, Biocodex, Menarini advisory boards/lectures.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review Not commissioned; externally peer reviewed.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
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Assessment of green innovation efficiency in chinese industrial enterprises based on an improved relational two-stage dea approach: regional disparities and convergence analysis.
2. literature review, 3. methodology and data, 3.1. measurement of green innovation efficiency, 3.1.1. green innovation process of industrial enterprises, 3.1.2. design of green innovation efficiency evaluation index, 3.1.3. an improved relational two-stage dea model, 3.2. research methods on regional disparities of green innovation efficiency, 3.2.1. dagum gini coefficient and its decomposition, 3.2.2. kernel density estimation, 3.3. methodology for assessing the convergence of green innovation efficiency, 3.4. sample selection and data sources, 4.1. results of green innovation efficiency measurement, 4.1.1. national-level analysis, 4.1.2. regional-level analysis, 4.2. regional disparities in green innovation efficiency and its decomposition, 4.2.1. regional disparities in r&d efficiency and its decomposition, 4.2.2. regional disparities in achievement conversion efficiency and its decomposition, 4.3. dynamic evolution of green innovation efficiency, 4.3.1. dynamic evolution of r&d efficiency, 4.3.2. dynamic evolution of achievement conversion efficiency, 4.4. convergence analysis of green innovation efficiency, 4.4.1. convergence analysis of r&d efficiency, 4.4.2. convergence analysis of achievement conversion efficiency, 5. discussion, 6. conclusions and policy recommendations, 6.1. conclusions, 6.2. policy recommendations, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
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Green Innovation Process | Variable | Unit | Source |
---|---|---|---|
Initial inputs | Full-time equivalent of R&D personnel | Man-year | China Science and Technology Statistical Yearbook |
Intramural expenditure on R&D | CNY 10,000 | China Science and Technology Statistical Yearbook | |
Shared inputs | Fixed assets | CNY 100 million | China Industrial Statistical Yearbook |
Intermediate outputs | Number of patent applications | Piece | China Science and Technology Statistical Yearbook |
Number of new product items | Piece | China Science and Technology Statistical Yearbook | |
Additional intermediate inputs | Employed personnel | 10,000 person | China Industrial Statistical Yearbook |
Expenditures on the acquisition and renovation of technology | CNY 10,000 | China Science and Technology Statistical Yearbook | |
Energy consumption | 10,000 tons of standard coal | China Statistical Yearbook | |
Expected outputs | Sales revenue of new products | CNY 10,000 | China Science and Technology Statistical Yearbook |
Undesirable outputs | Environmental pollution index | / | China Environmental Statistical Yearbook |
Region | Province | GIE | Rank | RDE | Rank | ACE | Rank |
---|---|---|---|---|---|---|---|
Eastern | Beijing | 1.000 | 1 | 1.000 | 1 | 1.000 | 1 |
Tianjin | 0.845 | 8 | 0.931 | 7 | 0.908 | 15 | |
Hebei | 0.686 | 14 | 0.828 | 11 | 0.828 | 17 | |
Liaoning | 0.426 | 22 | 0.588 | 25 | 0.725 | 21 | |
Shanghai | 0.847 | 7 | 0.847 | 9 | 1.000 | 1 | |
Jiangsu | 0.692 | 13 | 0.692 | 19 | 1.000 | 1 | |
Zhejiang | 1.000 | 1 | 1.000 | 1 | 1.000 | 1 | |
Fujian | 0.331 | 28 | 0.566 | 26 | 0.585 | 26 | |
Shandong | 0.709 | 12 | 0.720 | 17 | 0.984 | 11 | |
Guangdong | 1.000 | 1 | 1.000 | 1 | 1.000 | 1 | |
Hainan | 1.000 | 1 | 1.000 | 1 | 1.000 | 1 | |
Western | Inner Mongolia | 0.540 | 18 | 0.718 | 18 | 0.752 | 20 |
Guangxi | 0.626 | 17 | 0.804 | 14 | 0.779 | 19 | |
Chongqing | 0.643 | 16 | 0.669 | 20 | 0.961 | 14 | |
Sichuan | 0.393 | 26 | 0.812 | 12 | 0.484 | 27 | |
Guizhou | 0.274 | 29 | 0.602 | 24 | 0.456 | 29 | |
Yunnan | 0.233 | 30 | 0.550 | 27 | 0.424 | 30 | |
Shaanxi | 0.419 | 23 | 0.534 | 28 | 0.785 | 18 | |
Gansu | 0.396 | 25 | 0.662 | 23 | 0.598 | 24 | |
Qinghai | 1.000 | 1 | 1.000 | 1 | 1.000 | 1 | |
Ningxia | 0.397 | 24 | 0.664 | 21 | 0.597 | 25 | |
Xinjiang | 0.447 | 20 | 0.946 | 6 | 0.473 | 28 | |
Central | Shanxi | 0.445 | 21 | 0.533 | 29 | 0.836 | 16 |
Jilin | 0.879 | 6 | 0.879 | 8 | 1.000 | 1 | |
Heilongjiang | 0.507 | 19 | 0.761 | 15 | 0.666 | 22 | |
Anhui | 0.786 | 10 | 0.809 | 13 | 0.971 | 13 | |
Jiangxi | 0.822 | 9 | 0.841 | 10 | 0.977 | 12 | |
Henan | 0.353 | 27 | 0.531 | 30 | 0.665 | 23 | |
Hubei | 0.661 | 15 | 0.664 | 22 | 0.997 | 10 | |
Hunan | 0.747 | 11 | 0.747 | 16 | 1.000 | 1 | |
Average | Overall | 0.637 | 0.763 | 0.815 | |||
Eastern | 0.776 | 0.834 | 0.912 | ||||
Western | 0.488 | 0.724 | 0.664 | ||||
Central | 0.650 | 0.721 | 0.889 |
Variables | Overall | Eastern | Western | Central | ||||
---|---|---|---|---|---|---|---|---|
β | −0.425 *** (−7.15) | −0.542 *** (−8.79) | −0.452 *** (−4.25) | −0.611 *** (−5.90) | −0.243 ** (−2.50) | −0.471 *** (−4.45) | −0.688 *** (−5.36) | −0.881 *** (−5.97) |
α | −0.151 *** (−4.94) | 4.336 *** (3.94) | −0.137 *** (−4.01) | 0.374 (0.22) | −0.107 ** (−2.13) | 9.666 *** (3.94) | −0.309 *** (−3.37) | 6.354 ** (2.45) |
0.095 ** (2.59) | 0.066 (0.55) | 0.084 * (1.86) | 0.098 (0.70) | |||||
0.024 (0.25) | 0.494 ** (2.63) | −0.282 * (−1.67) | −0.079 (−0.40) | |||||
−0.408 *** (−4.04) | −0.105 (−0.65) | −0.860 *** (−3.72) | −0.631 *** (−2.78) | |||||
0.014 (0.33) | 0.066 (1.17) | −0.053 (−0.68) | −0.079 (−0.78) | |||||
0.022 (0.10) | 0.232 (0.75) | −0.291 (−0.71) | 0.069 (0.13) | |||||
−0.072 (−0.54) | 0.091 (0.36) | −0.102 (−0.46) | −0.188 (−0.34) | |||||
Province FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Year FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
s | 0.055 | 0.078 | 0.060 | 0.094 | 0.028 | 0.064 | 0.116 | 0.213 |
τ | 12.526 | 8.876 | 11.524 | 7.341 | 24.898 | 10.885 | 5.951 | 3.256 |
R | 0.302 | 0.391 | 0.398 | 0.536 | 0.187 | 0.386 | 0.484 | 0.5667 |
N | 270 | 270 | 99 | 99 | 99 | 99 | 72 | 72 |
Variables | Overall | Eastern | Western | Central | ||||
---|---|---|---|---|---|---|---|---|
β | −0.736 *** (−12.42) | −0.814 *** (−12.86) | −0.793 *** (−9.76) | −0.816 *** (−9.59) | −0.694 *** (−6.94) | −0.799 *** (−7.05) | −0.758 *** (−6.38) | −0.938 *** (−7.04) |
α | −0.203 *** (−10.13) | −2.128 ** (−2.30) | −0.084 *** (−7.02) | −1.115 (−1.25) | −0.321 *** (−6.22) | −4.391 ** (−2.03) | −0.191 *** (−4.47) | −3.233 (−1.40) |
0.104 ** (2.41) | 0.052 (0.66) | 0.105 * (1.70) | −0.143 (−0.85) | |||||
0.037 (0.54) | −0.162 ** (−2.21) | 0.106 (0.83) | −0.022 (−0.12) | |||||
0.170 ** (2.06) | 0.119 (1.45) | 0.374 * (1.76) | 0.176 (0.86) | |||||
0.008 (0.18) | 0.001 (0.01) | −0.077 (−0.85) | 0.068 (0.55) | |||||
0.103 (0.38) | −0.149 (−0.60) | 0.197 (0.36) | 0.162 (0.25) | |||||
−0.028 (−0.21) | 0.205 (1.22) | −0.368 (−1.36) | 0.486 (1.07) | |||||
Province FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Year FE | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
s | 0.133 | 0.168 | 0.158 | 0.169 | 0.118 | 0.160 | 0.142 | 0.278 |
τ | 5.205 | 4.121 | 4.401 | 4.095 | 5.853 | 4.320 | 4.885 | 2.493 |
R | 0.392 | 0.427 | 0.523 | 0.563 | 0.356 | 0.415 | 0.393 | 0.472 |
N | 270 | 270 | 99 | 99 | 99 | 99 | 72 | 72 |
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Chen, X.; Xu, R. Assessment of Green Innovation Efficiency in Chinese Industrial Enterprises Based on an Improved Relational Two-Stage DEA Approach: Regional Disparities and Convergence Analysis. Sustainability 2024 , 16 , 6908. https://doi.org/10.3390/su16166908
Chen X, Xu R. Assessment of Green Innovation Efficiency in Chinese Industrial Enterprises Based on an Improved Relational Two-Stage DEA Approach: Regional Disparities and Convergence Analysis. Sustainability . 2024; 16(16):6908. https://doi.org/10.3390/su16166908
Chen, Xiaohong, and Ruochen Xu. 2024. "Assessment of Green Innovation Efficiency in Chinese Industrial Enterprises Based on an Improved Relational Two-Stage DEA Approach: Regional Disparities and Convergence Analysis" Sustainability 16, no. 16: 6908. https://doi.org/10.3390/su16166908
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Sigit Candra Setya
Krismadinata
Jusmita Weriza
The ability to design and implement microcontroller-based systems is one of the skills and soft skills needed in Industry 4.0. Many researchers have identified various problems and have made solutions related to the learning process using microcontrollers, even though the names of the courses taught in the study programs at their respective universities are different. So a map of microcontroller learning problems and solutions that have been carried out by previous researchers is needed, then summarize and analyze them so that the core problems and solutions related to microcontroller learning in the Industry 4.0 era can be known. So in this study, we conducted a systematic literature review and meta-analysis of problems and solutions in microcontroller learning from research works on the Scopus database from 2019 to 2023, using the Watase UAKE application in which there is Prisma. The first stage carried out is the identification of studies on the Scopus database using several keyword variables that have been determined in advance, resulting in 173 articles. Then the first stage screening resulted in 78 articles, and continued with the second stage screening resulting in 36 articles. Retrieve articles that have DOI obtained 29 articles to be uploaded into the Watase database. Based on the results of data extraction and reading the contents of the article carefully, 20 articles were obtained that discussed the industry in the article, consisting of 13 qualitative research articles and 7 quantitative research articles. Only 7 quantitative research articles can proceed to the classification process stage of the meta-analysis. The results showed that the most popular learning method related to the learning process using microcontrollers in the Industry 4.0 era is the Project Based Learning (PBL) learning method.
This work is licensed under a Creative Commons Attribution 4.0 International License .
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A literature review is an integrated analysis-- not just a summary-- of scholarly writings and other relevant evidence related directly to your research question. That is, it represents a synthesis of the evidence that provides background information on your topic and shows a association between the evidence and your research question.
Literature Review and Research Design by Dave Harris This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literature--skills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly ...
Literature Review. The structure of a literature review should include the following: An overview of the subject, issue or theory under consideration, along with the objectives of the literature review, Division of works under review into themes or categories (e.g. works that support of a particular position, those against, and those offering ...
Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
In writing the literature review, your purpose is to convey to your reader what knowledge and ideas have been established on a topic, and what their strengths and weaknesses are. As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your ...
A literature review may consist of simply a summary of key sources, but in the social sciences, a literature review usually has an organizational pattern and combines both summary and synthesis, often within specific conceptual categories.A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information in a way that ...
2. The Stages of a Literature Review. Define the problem. It is important to define the problem or area which you wish to address. Have a purpose for your literature review to narrow the scope of what you need to look out for when you read. Carry out a search for relevant materials. Relevant materials will probably comprise: Books
What kinds of literature reviews are written? Narrative review: The purpose of this type of review is to describe the current state of the research on a specific topic/research and to offer a critical analysis of the literature reviewed. Studies are grouped by research/theoretical categories, and themes and trends, strengths and weakness, and gaps are identified.
A literature review may constitute an essential chapter of a thesis or dissertation, or may be a self-contained review of writings on a subject. In either case, its purpose is to: Place each work in the context of its contribution to the understanding of the subject under review. Describe the relationship of each work to the others under ...
Steps for Conducting a Lit Review. 1. Choose a topic. Define your research question. 2. Decide on the scope of your review. 3. Select the databases you will use to conduct your searches. 4. Conduct your searches and find the literature. Keep track of your searches! 5. Review the literature. Finding "The Literature" Organizing/Writing
Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications .For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively .Given such mountains of papers, scientists cannot be expected to examine in detail every ...
Like research, writing a literature review is an iterative process. Here is a very broad example of the process: Frame the research question and determine the scope of the literature review; Search relevant bodies of literature; Manage and organize search results; Synthesize the literature; Write an assessment of the literature
ew the literature and write about it. You will be asked to do this as a student when you. ite essays, dissertations and theses. Later, whenever you write an academic paper, there will usually be some element of. literature review in the introduction. And if you have to write a grant application, you will be expected to review the work t.
A literature review is a critical analysis and synthesis of existing research on a particular topic. It provides an overview of the current state of knowledge, identifies gaps, and highlights key findings in the literature. 1 The purpose of a literature review is to situate your own research within the context of existing scholarship ...
A literature review discusses published information in a particular subject area. Often part of the introduction to an essay, research report or thesis, the literature review is literally a "re" view or "look again" at what has already been written about the topic, wherein the author analyzes a segment of a published body of knowledge through summary, classification, and comparison of prior ...
A literature review is a comprehensive summary of previous research on a topic. The literature review surveys scholarly articles, books, and other sources relevant to a particular area of research. ... especially for writing in the early stages An expanded range of learning tools Additional reflection sections to direct metacognitive activities ...
Breaking down the literature review into a four-part process helps students decrease frustration and increase quality. This article provides usable advice for anyone teaching or writing literature reviews. Tips and illustrations illuminate each part of the process, including 1) Developing a Topic; 2) Searching the Literature; 3) Narrowing the ...
There are four main steps you'll need to take to complete your literature review: 1. You will firstly need to find literature which is relevant to your research topic. Before starting your search, make sure that you have defined your subject. Your literature search should be led by the main themes and limits of your research.
These examples start with very, very broad topics, so the topic at step 3 or 4 in these examples would be used for a preliminary search in the literature in order to identify a more specific focus. Greater specificity than level 3 or 4 will ultimately be necessary for developing a specific research question.
The process of writing a literature review. Writing a literature review is a non-linear and iterative process. This means you'll be revisiting the different stages of developing your review. There are four stages in conducting a literature review. Click on each stage below for tips on the different strategies used to conduct the literature ...
Literature reviews play a critical role in scholarship because science remains, first and foremost, a cumulative endeavour (vom Brocke et al., 2009). As in any academic discipline, rigorous knowledge syntheses are becoming indispensable in keeping up with an exponentially growing eHealth literature, assisting practitioners, academics, and graduate students in finding, evaluating, and ...
Image by TraceyChandler. Steps to conducting a systematic review. Quick overview of the process: Steps and resources from the UMB HSHSL Guide. YouTube video (26 min); Another detailed guide on how to conduct and write a systematic review from RMIT University; A roadmap for searching literature in PubMed from the VU Amsterdam; Alexander, P. A. (2020).
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The first stage carried out is the identification of studies on the Scopus database using several keyword variables that have been determined in advance, resulting in 173 articles. ... we conducted a systematic literature review and meta-analysis of problems and solutions in microcontroller learning from research works on the Scopus database ...