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Published on: December 9, 2022
Use of qualitative research in World Health Organisation guidelines: a document analysis
Melissa Taylor1, Paul Garner2, Sandy Oliver3,4
1Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. melissa.taylor@lstmed.ac.uk.
Qualitative research frequently informs World Health Organization (WHO) guidelines, especially in maternal and newborn health. However, its use lacks transparency and needs development for implementation and contextualization.
Area of Science:
- Health Services Research
- Evidence Synthesis
- Qualitative Research Methods
Background:
- Guidelines rely on effect estimates from randomized controlled trials.
- Qualitative research can enhance guideline decisions, but its integration methods are unclear.
- This study examines qualitative evidence use in World Health Organization (WHO) guidance since 2020.
Purpose of the Study:
- To describe and appraise the utilization of qualitative research in WHO guidelines.
- To identify how qualitative evidence informs different stages of guideline development.
- To assess the transparency and quality of qualitative evidence integration.
Main Methods:
- Document analysis of WHO guidelines published between 2020 and 2022.
- Purposive sampling of guidelines on maternal and newborn health (MANH) and infectious diseases.
- Deductive frameworks used to describe and appraise the use of qualitative evidence.
Main Results:
- Over half of the 29 analyzed guidelines (18/29) incorporated qualitative research.
- Qualitative evidence informed guideline scope (8/18), recommendations (all 18), and implementation (1/18).
- Reporting lacked transparency in evidence interpretation and weighing; contextualization of recommendations was limited.
Conclusions:
- Qualitative research is frequently used in WHO guidelines, particularly for MANH.
- The integration process often lacks transparency and methodological rigor.
- Further development is needed to enhance the use of qualitative evidence for implementation considerations and recommendation contextualization.
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