Indonesia’s Sample Registration System in 2018: A Work in Progress

Main Article Content

Yuslely Usman
Retno Widyastuti Iriawan
Tita Rosita
Merry Lusiana
Soewarta Kosen
Matthew Kelly
Simon Forsyth
Chalapati Rao

Abstract

Background

The Indonesian national Sample Registration System (SRS) is a source of vital statistical information. This article describes the design of the SRS along with an analysis of its performance during its inception period from 2014 to 2017.


Methods

The SRS was assessed according to the following criteria: sample size utilisation, population coverage, and mortality recording procedures/data management.International standard mortality indicators by age, sex, and cause, along with an assessment of data quality, were estimated for 2016.


Results 

The SRS covers a population of 8.6 million in 128 sub-districts (103 rural and 25 urban). Births and deaths are continuously recorded by local community health centres and causes of death are ascertained through verbal autopsy methods. From 2014 to 2017, mortality data completeness ranged from 55-72%, with cardiovascular diseases, diabetes, and chronic obstructive lung diseases, along with tuberculosis and transport accidents, being recorded as leading causes of death. However, as a result of the low level of completeness, total mortality indicators for the SRS population are questionable.


Discussion

As of 2018, system strengthening initiatives to increase data reliability and utility and thus to improve SRS performance and enhance its sustainability are being implemented by a collaboration of academic institutions. It is intended that lessons from the Indonesian SRS can guide vital statistics development programs in other settings.

Article Details

How to Cite
Usman, Y., Iriawan, R. W., Rosita, T., Lusiana, M., Kosen, S., Kelly, M., Forsyth, S., & Rao, C. (2018). Indonesia’s Sample Registration System in 2018: A Work in Progress. Journal of Population and Social Studies [JPSS], 27(1), 39–52. Retrieved from https://so03.tci-thaijo.org/index.php/jpss/article/view/142010
Section
Research Articles
Author Biography

Chalapati Rao, Australian National University, Australia

Corresponding author

References

• Badan Pusat Statistik [Statistics Indonesia]. (2014). Indonesia - Pendataan Potensi Desa 2014 [Summary of village potential]. Retrieved from https://microdata.bps.go.id/mikrodata/index.php/catalog/599

• Boerma, T., Victora, C., & Abouzahr, C. (2018). Monitoring country progress and achievements by making global predictions: is the tail wagging the dog? Lancet. doi: 10.1016/S0140-6736(18)30586-5

• GBD SDG Collaborators. (2016). Measuring the health-related sustainable development goals in 188 countries: A baseline analysis from the global burden of disease study 2015. Lancet, 388(10053), 1813-1850. doi: 10.1016/S0140-6736(16)31467-2

• Gouda, H. N., Flaxman, A., Brolan, C. E., Joshi, R., Riley, I. D., Abouzahr, C., …, Lopez, A.D. (2017). New challenges for verbal autopsy: Considering the ethical and social implications of verbal autopsy methods in routine health information systems, Social Science & Medicine, 184, 65-74. doi:10.1016/j.socscimed.2017.05.002

• Government of Indonesia. (2017). Voluntary National Review: Eradicating poverty and promoting prosperity in a changing world. Retrieved from https://sustainabledevelopment.un.org/content/documents/15705Indonesia.pdf.

• IRIS. A computer software package for automated coding of causes of death and selection of underlying causes of death: Version 5 (MUSE). Retrieved May 8, 2018 from http://www.dimdi.de/static/en/klassi/irisinstitute/about-iris/index.htm

• Joint Committee on reducing maternal and neonatal mortality in Indonesia. (2013). Saving lives, saving the future. Washington, D.C: United States National Academy Press.

• Jones G. W. (2015). The 2010 – 2035 Indonesian Population Projection: Understanding the Causes, Consequences and Policy Options for Population and Development. Retrieved from https://indonesia.unfpa.org/sites/default/files/pub-pdf/Policy_brief_on_The_2010_%E2%80%93_2035_Indonesian_Population_Projection.pdf

• Mahapatra, P., Shibuya, K., Lopez, A. D., Coullare, F., Notzon, F. C., Rao, C., … Monitoring Vital Events (2007). Civil registration systems and vital statistics: successes and missed opportunities. Lancet, 370(9599), 1653-1663. doi: S0140-6736(07)61308-7 [pii] 10.1016/S0140-6736(07)61308-7

• Mills, S. L., Abouzahr, C., Kim, J. H., Rassekh, B., & Sarpong, D. (2017). Civil registration and vital statistics (CRVS) for monitoring the Sustainable development goals. Retrieved from http://documents.worldbank.org/curated/en/979321495190619598/Civil-registration-and-vital-statistics-CRVS-for-monitoring-the-Sustainable-development-goals-SDGS

• Ministry of Home Affairs & Ministry of Health: Indonesia. (2010). Joint ministerial regulation regarding the registration of deaths and causes of death (162/menkes/PB/1/2010, Jakarta).

• National Institute for Health Research and Development (NIHRD). (2008a). Buku panduan penentuan kode penyebab kematian menurut ICD-10 [Guide to assigning codes for cause of death according to ICD-10]. Jakarta: NIHRD, Ministry of Health, Indonesia.

• National Institute for Health Research and Development (NIHRD). (2008b). Menegakkan diagnosis penyebab kematian menurut ICD-10 dari data autopsi verbal: panduan untuk dokter [Diagnosing causes of death from verbal autopsy data according to ICD-10: Guide for doctors]. Jakarta: NIHRD, Ministry of Health, Indonesia.

• National Institute for Health Research and Development (NIHRD). (2012). Pedoman Autopsi Verbal [Guidelines for Verbal Autopsy], Indonesia Sample Registration System. Jakarta: NIHRD, Ministry of Health, Indonesia.

• National Institute for Health Research and Development (NIHRD). (2015). Indonesia Sample Registration System 2014. Jakarta: NIHRD, Ministry of Health, Republic of Indonesia.

• Polprasert, W., Rao, C., Adair, T., Pattaraarchachai, J., Porapakkham, Y., & Lopez, A. D. (2010). Cause-of-death ascertainment for deaths that occur outside hospitals in Thailand: Application of verbal autopsy methods. Popul Health Metr, 8, 13. doi: 1478-7954-8-13 [pii] 10.1186/1478-7954-8-13

• Prasartkul, P., Porapakkham, Y., Vapattanawong P, & Rittirong, J. (2007). Development of a verbal autopsy tool for investigating cause of death: The Kanchanaburi project. Journal of Population and Social Studies, 15(2).

• Pratiwi, E. D., & Kosen, S. (2013). Development of an Indonesian sample registration system: a longitudinal study. The Lancet, 381, S118. doi: 10.1016/S0140-6736(13)61372-0

• Rao, C. (2013). Mortality estimates for South East Asia, and INDEPTH mortality surveillance: necessary but not sufficient? Int J Epidemiol, 42(4), 1196-1199. doi:10.1093/ije/dyt033

• Rao, C., & Kelly M. (2017). Overview of the principles and international experiences in implementing record linkage mechanisms to assess completeness of death registration. Population Division: United Nations Department of Economic and Social Affairs. New York.

• Rao, C., Kosen, S., Bisara, D., Usman, Y., Adair, T., Djaja, S., … Lopez, A. D. (2011). Tuberculosis mortality differentials in Indonesia during 2007-2008: evidence for health policy and monitoring. Int J Tuberc Lung Dis, 15(12), 1608-1614. doi:10.5588/ijtld.11.0018

• Rao, C., Lopez, A. D., Yang, G. H., Begg, S., & Ma, J. (2005). Evaluating national cause of death statistics: Principles and application to the case of China. Bull World Health Organ, 83(8), 618-625.

• Rao, C., Soemantri, S., Djaja, S., Suhardi, Adair, T., Wiryawan, Y., … Lopez, A. D. (2010). Mortality in Central Java: results from the Indonesian mortality registration system strengthening project. BMC research notes, 3, 325. doi: 10.1186/1756-0500-3-325

• United Nations. (1983). Manual X: Indirect techniques for demographic estimation. New York.

• United States Census Bureau. (2018). Census and Survey Processing System. CSPro 7.1.1: United States Census Bureau. Retrieved from https://www.census.gov/data/software/cspro.html.

• World Health Organization. (1993a). Special tabulation lists for mortality and morbidity; Mortality tabulation list 1 International Statistical Classification of Diseases and Health Related Problems - Tenth Revision. Volume 1 (Vol. 1, pp. 1207-1210). Geneva: World Health Organization.

• World Health Organization. (1993b). Symptoms, signs, and ill-defined conditions. International Classification of Diseases and Health-Related Problems Tenth Revision, (Vol. 1). Geneva: World Health Organization.

• World Health Organization. (2012). Verbal autopsy standards: The 2012 WHO verbal autopsy instrument Release Candidate 1. Retrieved from http://www.who.int/healthinfo/statistics/verbalautopsystandards/en/

• World Health Organization. (2014). ANACOD: An electronic tool for analysing levels of mortality And Causes of Death. Geneva: World Health Organization. Retrieved from http://www.who.int/healthinfo/anacod/en/.

• World Health Organization. (2015a). Global Health Observatory data repository - life tables by country. Retrieved from http://apps.who.int/gho/data/view.main.60750?lang=en

• World Health Organization. (2015b). World Health Statistics 2015: Indicator Compendium. Geneva

• Yang, G., Rao, C., Ma, J., Wang, L., Wan, X., Dubrovsky, G., & Lopez, A. D. (2006). Validation of verbal autopsy procedures for adult deaths in China. Int J Epidemiol, 35(3), 741-748. doi:10.1093/ije/dyi181