Dependency Theory: An Evaluation of the Period-Based Changes in the Utilization of Maternal Health Care and Neonatal Mortality in Tanzania Between 1991 and 2016.
Neema LangaPublished in: International journal of social determinants of health and health services (2023)
While efforts have been made to increase maternal health care (MHC) utilization and decrease neonatal mortality in Tanzania, much remains to be known about the effect of dependency (particularly on reproductive policy changes) on the use of MHC and neonatal health over time among varying socioeconomic groups. This study applied dependency theory to cross-sectional secondary data (collected by the Tanzania Demographic Health Surveys between 1991 and 2016) to investigate period-based changes in MHC and neonatal mortalities in Tanzania. Results from the data analysis found that while neonatal mortalities were decreasing in Tanzania (from 1991 to 2016), the odds of neonatal mortality were still greater in 2016. Also, a decline in the recommended skilled delivery assistance and 4 + antenatal care visits occurred in the data period. A significant increase in socioeconomic inequality around MHC use and neonatal mortality occurred during the study period as well. Policy recommendations to reduce these inequalities and move toward meeting Sustainability Development Goals for maternal and neonatal health in Tanzania are discussed.
Keyphrases
- healthcare
- public health
- data analysis
- mental health
- cross sectional
- cardiovascular events
- risk factors
- pregnant women
- cardiovascular disease
- machine learning
- big data
- electronic health record
- risk assessment
- body mass index
- pregnancy outcomes
- quality improvement
- climate change
- physical activity
- artificial intelligence
- social media