Scientific title |
Model of Determining Cause of Death Using BPJS Health Data in Indonesia |
Public title |
Estimating cause specific mortality from social health insurance data system |
|
Background |
Indonesia lacks a good Civil Registration and Vital Statistics (CRVS), particularly for registering deaths, including causes of death as there is no national policy that requires a cause of death to be recorded for every death. Hence, currently only way to collect data on the causes of death is do a survey.
In 2014, Indonesia introduced Universal heath coverage, and as of 2022, 82% of Indonesia's population participates in BPJSK. Every health service provided to the patient is documented and owned by both the health facility where the service is provided and BPJSK. This implies that BPJSK must have data on deaths that occurred in the hospitals. The Indonesian government sees big data of BPJSK very promising to track and monitor the impact of government policies. |
Objectives |
Develop a model of the cause of death using routine data (BPJSK) from hospitals in Indonesia.
The secondary objectives include:
1) Understanding the descriptions of the causes of death from hospitals by nationality.
2) Understanding the descriptions of the causes of death from hospitals by province.
3) create a model for predicting the cause of death in hospitals. |
Study Methods |
This study will use a cross-sectional study design and the operational research method. This study's sample consisted of patients who died in the hospital and used BPJSK at the time of death. The BPJSK data form (sample data) is used to select the variables needed to determine the cause of death in this study's study instrument. These variables from BPKSK (2014-2020) will be as follows: Province, district/city, age, sex, date of death, hospital discharge date, discharge status (died), primary diagnosis (ICD-10), secondary diagnosis (ICD-10).
In addition, the qualitative data will be collected to determine the processes that occur related to patient care and filling out medical record data, as well as the cause of death in the hospital. |
Expected outcomes and use of results |
The results of the modeling will be analyzed descriptively in the form of the distribution of the fraction of causes of death and the probability of dying from a specific cause of death among BPJS members. The results of the cause of death distribution for BPJSK (DKI Jakarta) data will be compared. |
|
Keywords |
Cause of death, Indonesia, social health insurance |