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  • 1. Dewi, Fatwa S. T.
    et al.
    Choiriyyah, Ifta
    Indriyani, Citra
    Wahab, Abdul
    Lazuardi, Lutfan
    Nugroho, Agung
    Susetyowati, Susetyowati
    Harisaputra, Rosalia K.
    Santi, Risalia
    Lestari, Septi K.
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health. Sleman HDSS, Universitas Gadjah Mada, Yogyakarta, Indonesia.
    Ng, Nawi
    Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Epidemiology and Global Health.
    Hakimi, Mohammad
    Josef, Hari K.
    Utarini, Adi
    Designing and collecting data for a longitudinal study: the Sleman Health and Demographic Surveillance System (HDSS)2018In: Scandinavian Journal of Public Health, ISSN 1403-4948, E-ISSN 1651-1905, Vol. 46, no 7, p. 704-710Article in journal (Refereed)
    Abstract [en]

    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.

  • 2.
    Lestari, Septi K
    et al.
    Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health. Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR).
    Ng, Nawi
    Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR). Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health.
    Kowal, Paul
    Santosa, Ailiana
    Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR).
    Diversity in the Factors Associated with ADL-Related Disability among Older People in Six Middle-Income Countries: A Cross-Country Comparison2019In: International Journal of Environmental Research and Public Health, ISSN 1661-7827, E-ISSN 1660-4601, Vol. 16, no 8, article id 1341Article in journal (Refereed)
    Abstract [en]

    The low- and middle-income countries (LMICs) are experiencing rapid population ageing, yet knowledge about disability among older populations in these countries is scarce. This study aims to identify the prevalence and factors associated with disability among people aged 50 years and over in six LMICs. Cross-sectional data from the World Health Organization (WHO) Study on global AGEing and adult health Wave 1 (2007-2010) in China, Ghana, India, Mexico, the Russian Federation, and South Africa was used. Multivariable logistic regression analyses were undertaken to examine the association between sociodemographic factors, health behaviours, chronic conditions, and activities of daily living (ADL) disability. The prevalence of disability among older adults ranged from 16.2% in China to 55.7% in India. Older age, multimorbidity, and depression were the most common factors related to disability in all six countries. Gender was significant in China (OR = 1.14, 95% CI: 1.01-1.29), Ghana (OR = 1.22, 95% CI: 1.01-1.48) and India (OR = 1.65, 95% CI: 1.37-1.99). Having no access to social capital was significantly associated with ADL disability in China (OR = 2.57, 95% CI: 1.54-4.31) and South Africa (OR = 4.11, 95% CI: 1.79-9.43). Prevalence data is valuable in these six ageing countries, with important evidence on mitigating factors for each. Identifying determinants associated with ADL disability among older people in LMICs can inform how to best implement health prevention programmes considering different country-specific factors.

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