Fatwa S T Dewi1,2, Ifta Choiriyyah1,3, Citra Indriyani1,3, Abdul Wahab1,3, Lutfan Lazuardi1,4, Agung Nugroho1, Susetyowati Susetyowati1,5, Rosalia K Harisaputra1,3, Risalia Santi1, Septi K Lestari1,6, Nawi Ng6, Mohammad Hakimi1,3, Hari K Josef1,7, Adi Utarini1,4. 1. 1 Sleman HDSS, Universitas Gadjah Mada, Yogyakarta, Indonesia. 2. 2 Department of Health Behaviour, Environment and Social Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia. 3. 3 Department of Biostatistics Epidemiology and Population Health, Universitas Gadjah Mada, Yogyakarta, Indonesia. 4. 4 Department of Health Policy and Management, Universitas Gadjah Mada, Yogyakarta, Indonesia. 5. 5 Department of Nutrition, Universitas Gadjah Mada, Yogyakarta, Indonesia. 6. 6 Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. 7. 7 Department of Community and Family Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Abstract
BACKGROUND: This paper describes the methodological considerations of developing an urban Health and Demographic Surveillance System (HDSS), in the Sleman District of Yogyakarta, Indonesia. METHODS: 1) The Sleman District was selected because it is mostly an urban area. 2) The minimum sample size was calculated to measure infant mortality as the key variable and resulted in a sample of 4942 households. A two-stage cluster sampling procedure with probability proportionate to size was applied; first, 216 Censuses Blocks (CBs) were selected, and second, 25 households in each CB were selected. 3) A baseline survey was started in 2015, and collected data on demographic and economic characteristics and verbal autopsy (VA); the 2nd cycle collected updated demographic data, VA, type of morbidity (communicable and non-communicable diseases, disability and injury) and health access. 4) The data were collected at a home visit through a Computer-Assisted Personal Interview (CAPI) on a tablet device, and the data were transferred to the server through the Internet. 5) The quality control consisted of spot-checks of 5% of interviews to control for adherence to the protocol, re-checks to ensure the validity of the interview, and computer-based data cleaning. 6) A utilization system was designed for policy-makers (government) and researchers. RESULTS: In total, 5147 households participated in the baseline assessment in 2015, and 4996 households participated in the second cycle in 2016 (97.0% response rate). CONCLUSIONS: Development of an urban HDSS is possible and is beneficial in providing data complementary to the existing demographic and health information system at local, national and global levels.
BACKGROUND: This paper describes the methodological considerations of developing an urban Health and Demographic Surveillance System (HDSS), in the Sleman District of Yogyakarta, Indonesia. METHODS: 1) The Sleman District was selected because it is mostly an urban area. 2) The minimum sample size was calculated to measure infant mortality as the key variable and resulted in a sample of 4942 households. A two-stage cluster sampling procedure with probability proportionate to size was applied; first, 216 Censuses Blocks (CBs) were selected, and second, 25 households in each CB were selected. 3) A baseline survey was started in 2015, and collected data on demographic and economic characteristics and verbal autopsy (VA); the 2nd cycle collected updated demographic data, VA, type of morbidity (communicable and non-communicable diseases, disability and injury) and health access. 4) The data were collected at a home visit through a Computer-Assisted Personal Interview (CAPI) on a tablet device, and the data were transferred to the server through the Internet. 5) The quality control consisted of spot-checks of 5% of interviews to control for adherence to the protocol, re-checks to ensure the validity of the interview, and computer-based data cleaning. 6) A utilization system was designed for policy-makers (government) and researchers. RESULTS: In total, 5147 households participated in the baseline assessment in 2015, and 4996 households participated in the second cycle in 2016 (97.0% response rate). CONCLUSIONS: Development of an urban HDSS is possible and is beneficial in providing data complementary to the existing demographic and health information system at local, national and global levels.
Entities:
Keywords:
Sleman HDSS; design paper; field laboratory; longitudinal study; surveillance; urban area
Authors: Pascal Geldsetzer; Min Min Tan; Fatwa St Dewi; Bui Tt Quyen; Sanjay Juvekar; Sayed Ma Hanifi; Sudipto Roy; Nima Asgari-Jirhandeh; Daniel Reidpath; Tin Tin Su Journal: Bull World Health Organ Date: 2022-08-22 Impact factor: 13.831
Authors: Selly Ruth Defianna; Ailiana Santosa; Ari Probandari; Fatwa Sari Tetra Dewi Journal: Int J Environ Res Public Health Date: 2021-06-09 Impact factor: 3.390