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. 2024 Mar 23;14(3):e075681.
doi: 10.1136/bmjopen-2023-075681.

Realist evaluation of maternity waiting home intervention models in Inhambane, Mozambique: protocol for a comparative embedded case study, the Mozambique-Canada Maternal Health Project

Affiliations

Realist evaluation of maternity waiting home intervention models in Inhambane, Mozambique: protocol for a comparative embedded case study, the Mozambique-Canada Maternal Health Project

Nadege Sandrine Uwamahoro et al. BMJ Open. .

Abstract

Introduction: This is a study protocol that tests and refines realist theories regarding the uptake and scale-up of the linked maternity waiting home (hereafter MWH) and facility birth intervention in the Mozambican context. The theories were developed through a realist review of MWH-facility birth literature from low-income and middle-income countries. The aim of the proposed study is to contribute to a contextually refined understanding of the causal chains underlying MWH-facility birth adoption by pregnant women and their families, communities, the health system and donors.

Methods and analysis: The overarching methodology is mixed-methods realist evaluation. The study will adopt a comparative embedded case study design comparing three new masonry MWHs built by the Mozambique-Canada Maternal Health Project in Inhambane province with three older MWHs selected based on variation in the built environment. Baseline data on participating MWH-facility birth interventions will be collected through observations, reviews of routine data and analysis of statistics and reports from provincial and district health authorities and the Mozambique-Canada Maternal Health project. Realist interviews will be conducted with MWH users and non-users, companions of MWH users and non-users, partners of MWH users and non-users, and stakeholders within the health system and the non-governmental organisation sector. Realist focus groups will be used to collect data from community-level implementers. The analysis will be retroductive and use the context-mechanism-outcome configuration heuristic tool to represent generative causation. We will analyse data from intervention and comparator MWHs independently and compare the resulting refined programme theories. Data analysis will be done in NVivo 12.

Ethics and dissemination: Ethics approval for the project has been obtained from the Mozambique National Bioethics Committee (CNBS-Comité Nacional de Bioética para a Saúde) and the University of Saskatchewan Bioethical Research Ethics Board. The evaluation will adhere to the International Ethical Guidelines for Biomedical Research Involving Human Subjects and the African adaptation of evaluation ethics and principles. Evaluation results will be disseminated to stakeholders' practice audiences through peer-reviewed publications, plain-language briefs, theory validation/feedback meetings and conference presentations.

Keywords: HEALTH SERVICES ADMINISTRATION & MANAGEMENT; Health Equity; PREVENTIVE MEDICINE; Primary Health Care.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Realist building and refinement cycle. Adapted from Pawson et al, Van Belle and Marchal et al. CMOCs, context–mechanism–outcome configurations; LMICs, low-income and middle-income countries; MWH, maternity waiting home.
Figure 2
Figure 2
Structure of MWH implementation based on information in the Mozambican MWH strategy and the experience of the research team. MWH, maternity waiting home.

References

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    1. UNICEF . The situation of children in Mozambique; 2021.
    1. National Institute of Statistics (INE) . Mozambique population and housing census 2017 final results. National Institute of Statistics: Mozambique; 2019.
    1. Republic of Mozambique . Annual audit report on maternal and neonatal deaths. Ministry of Health; 2018.
    1. Chavane LA, Bailey P, Loquiha O, et al. . Maternal death and delays in accessing emergency obstetric care in Mozambique. BMC Pregnancy Childbirth 2018;18:71. 10.1186/s12884-018-1699-z - DOI - PMC - PubMed

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