ArticleImplementation science : IS2016
Expanding the evidence base for global recommendations on health systems: strengths and challenges of the OptimizeMNH guidance process.
Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The relationship between health literacy, food literacy, and dietary choices-a systematic review.Frontiers in public health · 2026Pooled it
- Improving reporting of meta-ethnography: The eMERGe reporting guidance.Journal of advanced nursing · 2019Pooled it
- Integrated opioid substitution therapy and HIV care: a qualitative systematic review and synthesis of client and provider experiences.AIDS care · 2017Pooled it
- Mapping evidence for health policy and systems decision-making: a spectrum approach bridging tacit and scientific knowledge across local and global contexts.Health research policy and systems · 2026Article
- Evaluating the impact of the global evidence, local adaptation (GELA) project for enhancing evidence-informed guideline recommendations for newborn and young child health in three African countries: a mixed-methods protocol.Health research policy and systems · 2024Article
- "Going into the black box": a policy analysis of how the World Health Organization uses evidence to inform guideline recommendations.Frontiers in public health · 2024Article
- Evidence-informed decision about (de-)implementing return-to-work coordination to reduce sick leave: a case study.Health research policy and systems · 2022Review
- A Perspective on Implementation Outcomes and Strategies to Promote the Uptake of COVID-19 Vaccines.Frontiers in health services · 2022Article
- Review
- Evaluation of the reporting quality of clinical practice guidelines on gliomas using the RIGHT checklist.Annals of translational medicine · 2021Article
- Users' experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis.BMC medical informatics and decision making · 2021Article
- An exploration of how developers use qualitative evidence: content analysis and critical appraisal of guidelines.BMC medical research methodology · 2020Article
- The role of real-world data in the development of treatment guidelines: a case study on guideline developers' opinions about using observational data on antibiotic prescribing in primary care.BMC health services research · 2019Article
- Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2019Review
- Qualitative Evidence Synthesis (QES) for Guidelines: Paper 2 - Using qualitative evidence synthesis findings to inform evidence-to-decision frameworks and recommendations.Health research policy and systems · 2019Article
- Qualitative Evidence Synthesis (QES) for Guidelines: Paper 3 - Using qualitative evidence syntheses to develop implementation considerations and inform implementation processes.Health research policy and systems · 2019Article
- Improving reporting of meta-ethnography: the eMERGe reporting guidance.BMC medical research methodology · 2019Article
- Are we entering a new era for qualitative research? Using qualitative evidence to support guidance and guideline development by the World Health Organization.International journal for equity in health · 2018Article
- Developing Evidence to Decision Frameworks and an Interactive Evidence to Decision Tool for Making and Using Decisions and Recommendations in Health Care.Global challenges (Hoboken, NJ) · 2018Article
- The GRADE Evidence to Decision (EtD) framework for health system and public health decisions.Health research policy and systems · 2018Article
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3 authors.
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Abstract
backgroundIn 2012, the World Health Organization (WHO) published recommendations on the use of optimization or "task-shifting" strategies for key, effective maternal and newborn interventions (the OptimizeMNH guidance). When making recommendations about complex health system interventions such as task-shifting, information about the feasibility and acceptability of interventions can be as important as information about their effectiveness. However, these issues are usually not addressed with the same rigour. This paper describes our use of several innovative strategies to broaden the range of evidence used to develop the OptimizeMNH guidance. In this guidance, we systematically included evidence regarding the acceptability and feasibility of relevant task-shifting interventions, primarily using qualitative evidence syntheses and multi-country case study syntheses; we used an approach to assess confidence in findings from qualitative evidence syntheses (the Grading of Recommendations, Assessment, Development and Evaluation-Confidence in Evidence from Reviews of Qualitative Research (GRADE-CERQual) approach); we used a structured evidence-to-decision framework for health systems (the DECIDE framework) to help the guidance panel members move from the different types of evidence to recommendations.
resultsThe systematic inclusion of a broader range of evidence, and the use of new guideline development tools, had a number of impacts. Firstly, this broader range of evidence provided relevant information about the feasibility and acceptability of interventions considered in the guidance as well as information about key implementation considerations. However, inclusion of this evidence required more time, resources and skills. Secondly, the GRADE-CERQual approach provided a method for indicating to panel members how much confidence they should place in the findings from the qualitative evidence syntheses and so helped panel members to use this qualitative evidence appropriately. Thirdly, the DECIDE framework gave us a structured format in which we could present a large and complex body of evidence to panel members and end users. The framework also prompted the panel to justify their recommendations, giving end users a record of how these decisions were made.
conclusionsBy expanding the range of evidence assessed in a guideline process, we increase the amount of time and resources required. Nevertheless, the WHO has assessed the outputs of this process to be valuable and is currently repeating the approach used in OptimizeMNH in other guidance processes.
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