Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts / 대한의료정보학회지

OBJECTIVES: The aim of this study is to demonstrate how an integrated information system of mother and toddler cohorts can be developed as a basis of the continuum of care approach that subsequently can be used as the basis of early detection of risk factors of maternal mortality. METHODS: This research was carried out qualitatively. The data was collected through three techniques: in-depth interviews, focus group discussion, and document studies at six public health centers located in four sub-districts of Surabaya, Indonesia. This research was conducted from 2016 to 2018. RESULTS: The data collected from this research has become a basis input data requirement analysis for an integrated mother and toddler cohort information system. The system accommodates all the variables in each period of pre-marriage, pregnancy, labor, infancy and toddlerhood. The system facilitates healthcare workers to retrieve data and information related to mother and toddler health status. CONCLUSIONS: The availability of various pieces of information enables the health status of mothers and toddlers to be monitored thoroughly throughout their long-life cycle. This continuum of care approach is beneficial in the early detection and management of risk factors of maternal mortality, such as pregnancy complications as well as childbirth and postpartum complications.

Regional Disparities Of Health Center Utilization In Rural Indonesia

@#One indicator to see the quality of health system performance was to look at the disparity in the utilization of healthcare facilities. The research objective was to analyze the disparity between regions in the utilization of health centers in rural areas in Indonesia. The results of the 2013 Basic Health Survey (Riskesdas) were used as analysis material. The 2013 Riskesdas was designed a cross-sectional survey. Respondents obtained 388,598 using the multi-stage cluster random sampling method. Binary Logistic Regression Test was used to analyze data. Data is obtained through a structured questionnaire. The results showed that there were statistically significant disparities between regions. All regions showed better utilization than the Papua region as a reference. The best utilization was in the Sumatra region, which was 3.781 times more utilizing health centers than the Papua region (OR = 3.781; 95% CI = 3.580-3.993). The utilization of health centres that approached the Papua region was the Nusa Tenggara region (OR = 1.582; 95% CI = 1.490-1.679) and the Maluku region (OR = 2.175; 95% 1.999–2.366). All three regions are all in the Eastern part of Indonesia. The research concluded there was a disparity in health center utilization between regions in rural Indonesia. Regions in the western part of Indonesia tend to have better health center utilization in rural areas. Research results could be used as a reference for making policies that focus on equality of services to reduce existing disparities.