Improving WHO’s understanding of WHO guideline uptake and use in Member States: a scoping review
Bibliographic record
Abstract
BACKGROUND: WHO publishes public health and clinical guidelines to guide Member States in achieving better health outcomes. Furthermore, WHO's Thirteenth General Programme of Work for 2019-2023 prioritizes strengthening its normative functional role and uptake of normative and standard-setting products, including guidelines at the country level. Therefore, understanding WHO guideline uptake by the Member States, particularly the low- and middle-income countries (LMICs), is of utmost importance for the organization and scholarship. METHODS: We conducted a scoping review using a comprehensive search strategy to include published literature in English between 2007 and 2020. The review was conducted between May and June 2021. We searched five electronic databases including CINAHL, the Cochrane Library, PubMed, Embase and Scopus. We also searched Google Scholar as a supplementary source. The review adhered to the PRISMA-ScR (PRISMA extension for scoping reviews) guidelines for reporting the searches, screening and identification of evaluation studies from the literature. A narrative synthesis of the evidence around key barriers and challenges for WHO guideline uptake in LMICs is thematically presented. RESULTS: The scoping review included 48 studies, and the findings were categorized into four themes: (1) lack of national legislation, regulations and policy coherence, (2) inadequate experience, expertise and training of healthcare providers for guideline uptake, (3) funding limitations for guideline uptake and use, and (4) inadequate healthcare infrastructure for guideline compliance. These challenges were situated in the Member States' health systems. The findings suggest that governance was often weak within the existing health systems amongst most of the LMICs studied, as was the guidance provided by WHO's guidelines on governance requirements. This challenge was further exacerbated by a lack of accountability and transparency mechanisms for uptake and implementation of guidelines. In addition, the WHO guidelines themselves were either unclear and were technically challenging for some health conditions; however, WHO guidelines were primarily used as a reference by Member States when they developed their national guidelines. CONCLUSIONS: The challenges identified reflect the national health systems' (in)ability to allocate, implement and monitor the guidelines. Historically this is beyond the remit of WHO, but Member States could benefit from WHO implementation guidance on requirements and needs for successful uptake and use of WHO guidelines.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".