Understanding maternity waiting home uptake and scale-up within low-income and middle-income countries: a programme theory from a realist review and synthesis
Bibliographic record
Abstract
INTRODUCTION: Maternity waiting homes (MWHs) link pregnant women to skilled birth attendance at health facilities. Research suggests that some MWH-facility birth interventions are more success at meeting the needs and expectations of their intended users than others. We aimed to develop theory regarding what resources work to support uptake and scale-up of MHW-facility birth interventions, how, for whom, in what contexts and why. METHODS: A four-step realist review was conducted which included development of an initial programme theory; searches for evidence; selection, appraisal and extraction of data; and analysis and data synthesis. RESULTS: A programme theory was developed from 106 secondary sources and 12 primary interviews with MWH implementers. The theory demonstrated that uptake and scale-up of the MWH-facility birth intervention depends on complex interactions between three adopter groups: health system stakeholders, community gatekeepers and pregnant women and their families. It describes relationships between 19 contexts, 11 mechanisms and 31 outcomes accross nine context-mechanism-outcome configurations (CMOCs) which were grouped into 3 themes: (1) Engaging stakeholders to develop, integrate, and sustain MWH-facility birth interventions, (2) Promoting and enabling MWH-facility birth utilisation and (3) Creating positive and memorable MWH-facility birth user experiences. Belief, trust, empowerment, health literacy and perceptions of safety, comfort and dignity were mechanisms that supported diffusion and adoption of the intervention within communities and health systems. Examples of resources provided by implementers to trigger mechanisms associated with each CMOC were identified. CONCLUSIONS: Implementers of MWHs cannot merely assume that communities will collectively value an MWH-facility birth experience over delivery at home. We posit that MWH-facility birth interventions become vulnerable to under-utilisation when implementers fail to: (1) remove barriers that hinder women's access to MWH and (2) ensure that conditions and interactions experienced within the MWH and its affiliated health facility support women to feel treated with compassion, dignity and respect. 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 | 0.098 | 0.166 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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, 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".