Browsing by Author "Bohren, Meghan A"

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    Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series
    (BioMed Central, 2018-01-25) Lewin, Simon; Booth, Andrew; Glenton, Claire; Munthe-Kaas, Heather; Rashidian, Arash; Wainwright, Megan; Bohren, Meghan A; Tunçalp, Özge; Colvin, Christopher J; Garside, Ruth; Carlsen, Benedicte; Langlois, Etienne V; Noyes, Jane
    The GRADE-CERQual (‘Confidence in the Evidence from Reviews of Qualitative research’) approach provides guidance for assessing how much confidence to place in findings from systematic reviews of qualitative research (or qualitative evidence syntheses). The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. Confidence in the evidence from qualitative evidence syntheses is an assessment of the extent to which a review finding is a reasonable representation of the phenomenon of interest. CERQual provides a systematic and transparent framework for assessing confidence in individual review findings, based on consideration of four components: (1) methodological limitations, (2) coherence, (3) adequacy of data, and (4) relevance. A fifth component, dissemination (or publication) bias, may also be important and is being explored. As with the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach for effectiveness evidence, CERQual suggests summarising evidence in succinct, transparent, and informative Summary of Qualitative Findings tables. These tables are designed to communicate the review findings and the CERQual assessment of confidence in each finding. This article is the first of a seven-part series providing guidance on how to apply the CERQual approach. In this paper, we describe the rationale and conceptual basis for CERQual, the aims of the approach, how the approach was developed, and its main components. We also outline the purpose and structure of this series and discuss the growing role for qualitative evidence in decision-making. Papers 3, 4, 5, 6, and 7 in this series discuss each CERQual component, including the rationale for including the component in the approach, how the component is conceptualised, and how it should be assessed. Paper 2 discusses how to make an overall assessment of confidence in a review finding and how to create a Summary of Qualitative Findings table. The series is intended primarily for those undertaking qualitative evidence syntheses or using their findings in decision-making processes but is also relevant to guideline development agencies, primary qualitative researchers, and implementation scientists and practitioners.
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    Applying GRADE-CERQual to qualitative evidence synthesis findings–paper 6: how to assess relevance of the data
    (BioMed Central, 2018-01-25) Noyes, Jane; Booth, Andrew; Lewin, Simon; Carlsen, Benedicte; Glenton, Claire; Colvin, Christopher J; Garside, Ruth; Bohren, Meghan A; Rashidian, Arash; Wainwright, Megan; Tunςalp, Özge; Chandler, Jacqueline; Flottorp, Signe; Pantoja, Tomas; Tucker, Joseph D; Munthe-Kaas, Heather
    Background: The GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) Working Group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations, (2) coherence, (3) adequacy of data and (4) relevance. This paper is part of a series providing guidance on how to apply CERQual and focuses on CERQual’s relevance component. Methods: We developed the relevance component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual relevance component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. Results: When applying CERQual, we define relevance as the extent to which the body of data from the primary studies supporting a review finding is applicable to the context (perspective or population, phenomenon of interest, setting) specified in the review question. In this paper, we describe the relevance component and its rationale and offer guidance on how to assess relevance in the context of a review finding. This guidance outlines the information required to assess relevance, the steps that need to be taken to assess relevance and examples of relevance assessments. Conclusions: This paper provides guidance for review authors and others on undertaking an assessment of relevance in the context of the CERQual approach. Assessing the relevance component requires consideration of potentially important contextual factors at an early stage in the review process. We expect the CERQual approach, and its individual components, to develop further as our experiences with the practical implementation of the approach increase.
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    Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 3: how to assess methodological limitations
    (BioMed Central, 2018-01-25) Munthe-Kaas, Heather; Bohren, Meghan A; Glenton, Claire; Lewin, Simon; Noyes, Jane; Tunçalp, Özge; Booth, Andrew; Garside, Ruth; Colvin, Christopher J; Wainwright, Megan; Rashidian, Arash; Flottorp, Signe; Carlsen, Benedicte
    Abstract Background The GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) Working Group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations, (2) coherence, (3) adequacy of data and (4) relevance. This paper is part of a series providing guidance on how to apply CERQual and focuses on CERQual’s methodological limitations component. Methods We developed the methodological limitations component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual methodological limitations component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. Results When applying CERQual, we define methodological limitations as the extent to which there are concerns about the design or conduct of the primary studies that contributed evidence to an individual review finding. In this paper, we describe the methodological limitations component and its rationale and offer guidance on how to assess methodological limitations of a review finding as part of the CERQual approach. This guidance outlines the information required to assess methodological limitations component, the steps that need to be taken to assess methodological limitations of data contributing to a review finding and examples of methodological limitation assessments. Conclusions This paper provides guidance for review authors and others on undertaking an assessment of methodological limitations in the context of the CERQual approach. More work is needed to determine which criteria critical appraisal tools should include when assessing methodological limitations. We currently recommend that whichever tool is used, review authors provide a transparent description of their assessments of methodological limitations in a review finding. We expect the CERQual approach and its individual components to develop further as our experiences with the practical implementation of the approach increase.
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    Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 4: how to assess coherence
    (BioMed Central, 2018-01-25) Colvin, Christopher J; Garside, Ruth; Wainwright, Megan; Munthe-Kaas, Heather; Glenton, Claire; Bohren, Meghan A; Carlsen, Benedicte; Tunçalp, Özge; Noyes, Jane; Booth, Andrew; Rashidian, Arash; Flottorp, Signe; Lewin, Simon
    Background: The GRADE-CERQual (Grading of Recommendations Assessment, Development and EvaluationConfidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE working group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations, (2) relevance, (3) coherence and (4) adequacy of data. This paper is part of a series providing guidance on how to apply CERQual and focuses on CERQual’s coherence component. Methods: We developed the coherence component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual coherence component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. Results: When applying CERQual, we define coherence as how clear and cogent the fit is between the data from the primary studies and a review finding that synthesises that data. In this paper, we describe the coherence component and its rationale and offer guidance on how to assess coherence in the context of a review finding as part of the CERQual approach. This guidance outlines the information required to assess coherence, the steps that need to be taken to assess coherence and examples of coherence assessments. Conclusions: This paper provides guidance for review authors and others on undertaking an assessment of coherence in the context of the CERQual approach. We suggest that threats to coherence may arise when the data supporting a review finding are contradictory, ambiguous or incomplete or where competing theories exist that could be used to synthesise the data. We expect the CERQual approach, and its individual components, to develop further as our experiences with the practical implementation of the approach increase.
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    Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 5: how to assess adequacy of data
    (BioMed Central, 2018-01-25) Glenton, Claire; Carlsen, Benedicte; Lewin, Simon; Munthe-Kaas, Heather; Colvin, Christopher J; Tunçalp, Özge; Bohren, Meghan A; Noyes, Jane; Booth, Andrew; Garside, Ruth; Rashidian, Arash; Flottorp, Signe; Wainwright, Megan
    Background: The GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) working group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations; (2) coherence; (3) adequacy of data; and (4) relevance. This paper is part of a series providing guidance on how to apply CERQual and focuses on CERQual’s adequacy of data component. Methods: We developed the adequacy of data component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual adequacy of data component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. Results: When applying CERQual, we define adequacy of data as an overall determination of the degree of richness and the quantity of data supporting a review finding. In this paper, we describe the adequacy component and its rationale and offer guidance on how to assess data adequacy in the context of a review finding as part of the CERQual approach. This guidance outlines the information required to assess data adequacy, the steps that need to be taken to assess data adequacy, and examples of adequacy assessments. Conclusions: This paper provides guidance for review authors and others on undertaking an assessment of adequacy in the context of the CERQual approach. We approach assessments of data adequacy in terms of the richness and quantity of the data supporting each review finding, but do not offer fixed rules regarding what constitutes sufficiently rich data or an adequate quantity of data. Instead, we recommend that this assessment is made in relation to the nature of the finding. We expect the CERQual approach, and its individual components, to develop further as our experiences with the practical implementation of the approach increase.
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    Formative research to design an implementation strategy for a postpartum hemorrhage initial response treatment bundle (E-MOTIVE): study protocol
    (2021-07-14) Bohren, Meghan A; Lorencatto, Fabiana; Coomarasamy, Arri; Althabe, Fernando; Devall, Adam J; Evans, Cherrie; Oladapo, Olufemi T; Lissauer, David; Akter, Shahinoor; Forbes, Gillian; Thomas, Eleanor; Galadanci, Hadiza; Qureshi, Zahida; Fawcus, Sue; Hofmeyr, G J; Al-beity, Fadhlun A; Kasturiratne, Anuradhani; Kumarendran, Balachandran; Mammoliti, Kristie-Marie; Vogel, Joshua P; Gallos, Ioannis; Miller, Suellen
    Background: Postpartum hemorrhage (PPH) is the leading cause of maternal death worldwide. When PPH occurs, early identification of bleeding and prompt management using evidence-based guidelines, can avert most PPH-related severe morbidities and deaths. However, adherence to the World Health Organization recommended practices remains a critical challenge. A potential solution to inefficient and inconsistent implementation of evidence-based practices is the application of a ‘clinical care bundle’ for PPH management. A clinical care bundle is a set of discrete, evidence-based interventions, administered concurrently, or in rapid succession, to every eligible person, along with teamwork, communication, and cooperation. Once triggered, all bundle components must be delivered. The E-MOTIVE project aims to improve the detection and first response management of PPH through the implementation of the “E-MOTIVE” bundle, which consists of (1) Early PPH detection using a calibrated drape, (2) uterine Massage, (3) Oxytocic drugs, (4) Tranexamic acid, (5) Intra Venous fluids, and (6) genital tract Examination and escalation when necessary. The objective of this paper is to describe the protocol for the formative phase of the E-MOTIVE project, which aims to design an implementation strategy to support the uptake of this bundle into practice. Methods: We will use behaviour change and implementation science frameworks [e.g. capability, opportunity, motivation and behaviour (COM-B) and theoretical domains framework (TDF)] to guide data collection and analysis, in Kenya, Nigeria, South Africa, Sri Lanka, and Tanzania. There are four methodological components: qualitative inter views; surveys; systematic reviews; and design workshops. We will triangulate findings across data sources, participant groups, and countries to explore factors influencing current PPH detection and management, and potentially influencing E-MOTIVE bundle implementation. We will use these findings to develop potential strategies to improve implementation, which will be discussed and agreed with key stakeholders from each country in intervention design workshops. Discussion: This formative protocol outlines our strategy for the systematic development of the E-MOTIVE implementation strategy. This focus on implementation considers what it would take to support roll-out and implementation of the E-MOTIVE bundle. Our approach therefore aims to maximize internal validity in the trial alongside future scalability, and implementation of the E-MOTIVE bundle in routine practice, if proven to be effective. Trial registration: ClinicalTrials.gov: NCT04341662 Plain language summary Excessive bleeding after birth is the leading cause of maternal death globally. The World Health Organization (WHO) has recommended several treatment options for bleeding after birth. However, these treatments are not used regularly, or consistently for all women. A key underlying issue is that it is challenging for health workers to identify when women are bleeding too much, because measuring the amount of blood loss is difficult. Maternal health experts have proposed a new clinical ‘care bundle’ for caring for women with excessive bleeding after birth. A care bundle is a way to group together multiple treatments (e.g. 3–5 treatments). These treatments are then given to the woman at the same time, or one after another in quick succession, and supported by strategies to improve teamwork, communication, and cooperation. This is a research protocol for the preliminary phase of our study (“E-MOTIVE”), which means that it is a description of what we plan to do and how we plan to do it. The aim of our study is to develop a strategy for how we will test whether the E-MOTIVE bundle works through collaborative activities with midwives and doctors in five countries (Kenya, Nigeria, South Africa, Sri Lanka, and Tanzania) to develop a strategy for how we will test whether the E-MOTIVE bundle works. We plan to do this by conducting interviews and surveys with midwives and doctors, and reviewing other research conducted on PPH to understand what works in different settings. We will discuss our research findings in a workshop, with midwives and doctors in the study countries to co-create a strategy that will work for them, based on their needs and preferences.