Further Analysis of the 2010 and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 104
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Reprod Health 19, 143 (2022). https://doi.org/10.1186/s12978-022-01452-4.
Delivery of quality reproductive health services has been documented to depend on the availability of healthcare workers who are adequately supported with appropriate training. However, unmet training needs among healthcare ...workers in reproductive, maternal, and newborn health (RMNH) in low-income countries remain disproportionately high. This study investigated the effectiveness of training with onsite clinical mentorship towards self-reported performance in RMNH among healthcare workers in Mwanza Region, Tanzania.
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To deliver on the Global Fund Strategy milestones
for 2028 and ensure we keep the SDG 3 target
within reach, we need to raise US$18 billion to
fund the Global Fund’s next three-year grant cycle.
Eight years after Super Typhoon Haiyan, the most destructive storm to ever hit the Philippines, Super Typhoon Rai brought similar torrential rains, violent winds, mudslides, floods and storm surges to central parts of the Philippines, leaving a wide path of destruction and debris in its wake. While ...not as powerful as Haiyan in terms of wind strength, evidence shows that Rai damaged houses, infrastructure and livelihoods on a comparable scale or in even greater numbers. Most striking, Rai damaged 1.57 million homes, 500,000 more than Haiyan, across 11 of the Philippines 17 regions, with around 180,000-200,000 people still displaced – either still in evacuation centers or staying with friends, family or other temporary housing.
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