Effect of data accuracy and non-use of quality information on reproductive health: A comparative study of Nigeria and South Africa

Abstract

Accurate data are crucial for effective decision-making and policy development in health care. However, poor-quality data and the non-use of information can hinder these processes. This study focused on the quality of reproductive health data in South Africa (1998 & 2016) and Nigeria (2013 & 2018) and aimed to identify factors contributing to the non-use of quality data on reproductive health. The study examined the distribution of observable characteristics of women aged 15-49 years in each country, specifically focusing on the timing of the first postnatal check-up for mothers. It explored the relationship between selected variables and the timing of postnatal check- ups. The study’s conceptual framework highlighted the connection between utilization of health care services, women’s knowledge, perception, and behaviour related to reproductive health, as well as the role of managing the health information system in informing policies and programs to enhance reproductive health outcomes. The findings revealed disparities in data, country-specific peculiarities, and variations in data collection methods. In Nigeria, variables such as age, region, place of residence, education, wealth index, age at first birth, preceding birth interval, and place of delivery were associated with the timing of postnatal checks. However, in South Africa, only a few socio-economic and demographic variables were associated with the timing of postnatal checks. The study emphasizes the importance of regularly assessing data quality to plan, reliably monitor health services, and improve reproductive health outcomes.