Developing Smart Application for Screening and Reducing Maternal and Neonatal Mortality Birth Preparedness

The growth of smartphones has led to the emergence of digital health applications that know the user’s health by tracking his daily activity patterns, calculating calories and hours of movement, and monitoring heartbeat and other information to determine a person’s health status. Maternal and neonatal mortality caused by three delays late recognition of danger signs and decisions, delays to health facilities, and delayed service in health facilities. A lack of effective smart applications for reducing maternal and neonatal mortality is necessary to developing birth preparedness and complication readiness (BPCR) model based on smart. The study aims to determine BPCR screening’s effect on a smart application to reduce maternal and neonatal mortality. The quasi-experimental design has been untied for the intervention and control group. The research place is in the public health center (PHC) in Padang City, Indonesia. The sampling technique used is non-probability sampling with a quota sampling with a total sample size which is 230 subjects. Data analysis with SPSS version 25.0 software and the logistic regression model was used to determine the association between the dependent and independent variables. The results stated that the control group respondents would risk maternal complications as much as 2.080 times than the intervention group. The neonatal complication would have a risk of neonatal complications of 0.322 times in the control group compared to the intervention group. The result shows BPCR based on the smart application effects to reduce maternal and neonatal complications.