Standards of care and determinants of women's satisfaction with delivery services in Nepal: a multi-perspective analysis using data from a health facility-based survey.

Background: Compliance with standards of care is required for sustained improvement in the quality of delivery services. It thus represents a key challenge to improving maternal survival and meeting the Sustainable Development Goal (SDG) target of reducing the maternal mortality ratio to 70 deaths per 100,000 live births. This study examines the extent to which normal low-risk health facility deliveries in Nepal meet the standards of quality of care and assesses the effect of the standards of quality of care and various contextual factors on women's satisfaction with the services they receive.

Emergency obstetric and newborn care signal functions: The situation in health facilities in Nepal between 2015 and 2021.

Expanding access to facility-based delivery services and improving the functionality of emergency obstetric and neonatal care (EmONC) are important strategies toward achieving a maternal mortality ratio of 70 deaths per 100,000 live births by 2030. In this study the researchers assess signal functions at designated facilities in Nepal, using Nepal Health Facility Survey data for 2015 and 2021. The functionality of basic and comprehensive EmONC sites was low, declining over the six-year period.

Changes in health facility readiness for obstetric and neonatal care services in Nepal: an analysis of cross-sectional health facility survey data in 2015 and 2021.

Background: Nepal is committed to achieving the Sustainable Development Goal (SDG) 2030 target 3.1 of reducing the maternal mortality ratio to 70 deaths per 100,000 live births. Along with increasing access to health facility (HF)-based delivery services, improving HF readiness is critically important.

Proceedings from the CIHLMU 2022 Symposium: "Availability of and Access to Quality Data in Health".

Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification of problems, the design of appropriate interventions, and the effective implementation and evaluation of health intervention outcomes. During the COVID-19 pandemic, the need for strong information systems and the value of producing high-quality data for timely response and tracking resources and progress have been very evident across countries.

Groundwater arsenic contamination, its health impact and mitigation program in Nepal.

About 47% of Nepal's total population is living in Terai region and 90% of them are relying on groundwater as their major source of drinking water. About 200,000 shallow tubewells have been installed by different agencies in 20 Terai districts, serving 11 million people. Recently, arsenic contamination of groundwater has been recognized as a public health problem in Nepal.