Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Register designs need to include interventions for coverage measurement. Conclusionsĭata 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. All five hospitals recorded count data required to calculate impact indicators including stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates. 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. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. More data were available for health outcomes than interventions. Register design was different between the five hospitals with 10–17 of the 21 selected MNH data elements available. Resultsĭata were extracted for 20,075 births. 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. The study sites were five public hospitals during a one-year period (2016–17).
We extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. This paper forms the baseline register assessment for the Every Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study.
We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. Dorothy Boggs ORCID: /0000-0001-5380-2785 1,īMC Health Services Research volume 20, Article number: 737 ( 2020)Ĭountries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths.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
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