Understanding the implementation (including women’s use) of maternity waiting homes in low-income and middle-income countries: a realist synthesis protocol
Bibliographic record
Abstract
INTRODUCTION: Maternity waiting homes in low-income and middle-income countries provide accommodation near health facilities for pregnant women close to the time of birth to promote facility-based birth and birth with a skilled professional and to enable timely access to emergency obstetric services when needed. To date, no studies have provided a systematic, comprehensive synthesis explaining facilitators and barriers to successful maternity waiting home implementation and whether and how implementation strategies and recommendations vary by context. This synthesis will systematically consolidate the evidence, answering the question, 'How, why, for whom, and in what context are maternity waiting homes successfully implemented in low-income and middle-income countries?'. METHODS AND ANALYSIS: Methods include standard steps for realist synthesis: determining the scope of the review, searching for evidence, appraising and extracting data, synthesising and analysing the data and developing recommendations for dissemination. Steps are iterative, repeating until theoretical saturation is achieved. Searching will be conducted in 13 electronic databases with results managed in Eppi-Reviewer V.4. There will be no language, study-type or document-type restrictions. Items documented prior to 1990 will be excluded. To ensure our initial and revised programme theories accurately reflect the experiences and knowledge of key stakeholders, most notably the beneficiaries, interviews will be conducted with maternity waiting home users/nonusers, healthcare staff, policymakers and programme designers. All data will be analysed using context-mechanism-outcome configurations, refined and synthesised to produce a final programme theory. ETHICS AND DISSEMINATION: Ethics approval for the project will be obtained from the Mozambican National Bioethical Commission, Jimma University College of Health Sciences Institutional Review Board and the University of Saskatchewan Bioethical Research Ethics Board. To ensure results of the evaluation are available for uptake by a wide range of stakeholders, dissemination will include peer-reviewed journal publication, a plain-language brief, and conference presentations to stakeholders' practice audiences. PROSPERO REGISTRATION NUMBER: CRD42020173595.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.114 | 0.180 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.011 | 0.013 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.091 | 0.012 |
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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".