BackgroundDuring the last 15 years, Malawi has made remarkable progress in reducing child mortality. However, maternal and newborn mortality remains persistently high. To help address these entrenched challenges, the Reproductive, Maternal, Newborn and Child Health (RMNCH) Trust Fund provided short-term catalytic financing of $11.5 million (2013–2016) to support country plans to advance the RMNCH and commodity agenda.Objectives(1) To document how Malawi (ministries, partners, working groups) used evidence to inform decision-making and RMNCH investments, (2) To identify barriers to utilizing information and evidence in the planning and prioritization process at national and sub-national levels, and (3) To assess the utility of the RMNCH Landscape Synthesis, which uses existing information to review life-saving RMNCH commodities and services.MethodsThis was a qualitative case study utilizing a Rapid Appraisal (RA) approach, where semi-structured interviews were conducted with staff members from UN agencies, development partners and the Ministry of Health (MoH) at national and district level. The analysis enlists a framework approach for manual qualitative content analysis.ResultsLed by the MoH, the RMNCH Trust Fund grant proposal utilized an evidence-based and equity-focused process for prioritization of investments. Data-informed decision-making permeates similar commodity-focused working groups. However, common health information system (HIS) weaknesses, such as data quality and collection burden, persist and are more prevalent at district-level. The collation of evidence in the RMNCH Landscape Synthesis was a useful and sustainable tool to support planning.ConclusionsThe evidence-based, equity-focused decision-making process for the RMNCH Trust Fund proposal provides an effective model for inter-agency investment prioritization. Strengthening data-informed decision-making will require financial and political commitments to HIS and capacity building for data use, particularly at the district-level. New initiatives (e.g. Health Data Collaborative and QED Network to Improve Quality of Care) provide opportunities to further improve evidence-informed decision-making.
Background BackgroundIn 2012, the UN Commission on Life Saving Commodities (UNCoLSC) articulated a series of recommendations to expand access to 13 life-saving reproductive, maternal, newborn and child health (RMNCH) commodities with the greatest potential to reduce preventable deaths. We conducted a five-year longitudinal assessment of progress towards achieving these recommendations among countries in sub-Saharan Africa and Southeast Asia.
Methods MethodsBetween 2013 and 2017, national reviews were undertaken at two time points among 14 countries with a high burden of preventable maternal-child deaths who were receiving support from a multi-UN agency RMNCH technical support and financing mechanism. Data were drawn from national health documentation (e.g. strategic plans, policies, guidelines); logistics management information systems; national household and health facility surveys; and interviews with governments and development partners.
Results
ResultsOver time, the percent of health facilities with stock availability showed a statistically significant increase of five percentage points from 69% to 74% (median). Recent training at health facility also displayed a significant increase of eight percentage points from 38% to 46% (median). National RMNCH coordination mechanisms, treatment guidelines, and national training curricula and job-aids were near fully redressed. However, countries continue to face persistent supply chain challenges including national stock-outs, tracking commodities throughout the supply chain, and strengthening medicine control laboratories.
Conclusions ConclusionsWhile substantial progress has been made in improving access to life-saving commodities, including stock availability and workforce training at health facilities, additional efforts are required to improve regulatory efficiency, enhance commodity quality and safety, and reduce supply chain fragmentation.
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