Abstract
Data from national health information systems are essential for routinely tracking progress, programmatic decision-making and to improve quality of services. Understanding the data elements captured in patient registers which are building blocks of national HMIS indicators, enables us to standardize data collection and measurement of key indicators for tracking progress towards achieving maternal and newborn health goals. This analysis was done through a review of antenatal care (ANC), childbirth and postnatal care (PNC) registers from 21 countries across five geographic regions. Between July and October 2020, country-based maternal and newborn experts, implementing agencies, program managers, and ministry of health personnel were asked to share the registers in use. Both paper-based and electronic registers were obtained. Twenty ANC registers, eighteen childbirth and thirteen PNC were available and analyzed. Both longitudinal and cross-sectional ANC and PNC registers were obtained, while the childbirth registers included in the analysis were all cross-sectional. Fifty-five percent (11/20) ANC registers and 54% (7/13) PNC registers were longitudinal. In four countries, the registers were electronic, while the rest were paper-based (17 countries). Sub-analysis of registers from four countries (Ghana, Kenya, Nigeria, and Zambia) where the 2017/2018 and 2019/2020 registers were available showed that the latest versions included 21/27 (78%) of data elements that are critical in the computation of key maternal and newborn care indicators. This analysis highlights some areas in where there are data gaps in data on pregnancy and childbirth. Program managers and health workers should use data gathered routinely to monitor the performance of their national health system and to guide the continuous improvement of health care services for women and newborns. The findings can help to inform the standardization of pregnancy and childbirth registers, and provide information for other countries seeking to introduce indicators in their health systems.