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Supportive and Dignified Maternity Care in Public Health Facilities

Aga Khan University · 2019
ClinicalTrials.gov · Datasets · License: Public Domain · 2019
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behaviorhealthna
Brief Summary Poor psychosocial support and demeaning care during childbirth in health facilities are common worldwide, particularly in low- and middle-income countries. Despite a policy directive from the World Health Organization (WHO), there is no operational model that effectively demonstrates the incorporation of these guidelines into routine facility-based maternity services. Recent evidence from Pakistan highlights a high rate of reported disrespect and abuse during childbirth, with several health system factors contributing to this compromised care. This early-phase research aims to develop, implement, and test the feasibility of a Supportive and Dignified Maternity Care (SDMC) service-delivery model. Based on WHO's guiding principles and framework, the model promotes respectful and supportive intrapartum care in public health facilities. The components of the SDMC model include: Participatory and co-created service-delivery intervention; Capacity-building of maternity teams (clinical and support staff) through a partnership approach; Collaborative Care Model; Patient orientation in the processes of care and their SDMC rights; Information system (e.g., complaints register); Accountability mechanisms (e.g., exit interviews); and Embedding performance reviews. Using a mixed-method design and extensive data collection before, during, and after the implementation of the intervention, we will assess the coverage of the intervention and its fidelity-the extent to which SDMC guidelines are being adhered to. Challenges faced, changes in maternity teams' understanding and attitudes, and improvements in women's maternity experiences and psychosocial well-being will also inform the success of the intervention. Evidence from this research will guide further refinements to the SDMC model package. It will provide insights into behavior change among maternity staff and birthing women, as well as estimate the potential effect size to design a larger evaluation and
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