Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries.

BACKGROUND: Countries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. This paper forms the baseline register assessment for the Every Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: We extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. The study sites were five public hospitals during a one-year period (2016-17). We measured 1) availability: completeness of data elements by register design, 2) data quality: implausibility, internal consistency, and heaping of birthweight and explored 3) utility by calculating selected MNH indicators using the available data. RESULTS: Data were extracted for 20,075 births. Register design was different between the five hospitals with 10-17 of the 21 selected MNH data elements available. More data were available for health outcomes than interventions. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Birthweight data were less complete for stillbirths than live births at two hospitals, and significant heaping was found in all sites, especially at 2500g and 3000g. All five hospitals recorded count data required to calculate impact indicators including; stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates. CONCLUSIONS: Data needed to calculate MNH indicators are mostly available and highly complete in EN-BIRTH study hospital routine labour ward registers in Bangladesh, Nepal and Tanzania. Register designs need to include interventions for coverage measurement. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth.

A Review of eHealth Initiatives: Implications for Improving Health Service Delivery in Nepal.

The aim of this paper is to take stock of the use of information and communication technologies in delivering health services in Nepal and identify bottlenecks in implementation for improving delivery of health services. A descriptive review was conducted from May to September 2016. Data were collected from organizations working on the different thematic areas in health where information and communication technologies was used. Fifteen ongoing eHealth projects were identified in the areas of monitoring and surveillance, electronic health records/electronic medical records, health information system, and telemedicine. Common challenges were addressed, including a lack of funding, infrastructure, electricity and network, and national capacity. Most eHealth projects were not integrated into the national system. Working at a national level to address the challenges, centralizing eHealth projects and developing national policies would ensure to adopt eHealth at a right place and to accelerate eHealth initiatives. Keywords: eHealth; health service delivery;information and communication technologies (ICT); Nepal.