IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v64y2019i8d10.1007_s00038-019-01301-5.html
   My bibliography  Save this article

The accuracy of self-report versus objective assessment for estimating socioeconomic inequalities in disease prevalence in Indonesia

Author

Listed:
  • Joko Mulyanto

    (Universitas Jenderal Soedirman
    University of Amsterdam, Amsterdam Public Health Research Institute)

  • Dionne S. Kringos

    (University of Amsterdam, Amsterdam Public Health Research Institute)

  • Anton E. Kunst

    (University of Amsterdam, Amsterdam Public Health Research Institute)

Abstract

Objectives To estimate socioeconomic inequalities in hypertension and asthma prevalence in Indonesia, to compare estimates based on self-report (SR) to those based on objective assessment (OA), and to assess the role of sensitivity and specificity of SR. Methods We used data from the 2014 Indonesia Family Life Survey (n = 34,257). We measured inequalities in hypertension and asthma prevalence in relation to educational level and income, using standardised prevalence rate and the relative index of inequality (RII). Using OA as standard, we calculated the sensitivity and specificity of SR. Results For hypertension, reversed inequalities were found when estimated by SR instead of OA (RII for education 0.86, 95% CI 0.74–0.99 vs. RII 1.29, 95% CI 1.16–1.44). For asthma, a similar but even larger reversal of inequalities was found. The sensitivity of SR was low overall, and especially for the lowest education or income group. Conclusions Results imply that the use of SR may lead to underestimation of socioeconomic inequalities in disease prevalence in a low-income country such as Indonesia. The use of OA is recommended for monitoring inequalities in non-communicable disease prevalence.

Suggested Citation

  • Joko Mulyanto & Dionne S. Kringos & Anton E. Kunst, 2019. "The accuracy of self-report versus objective assessment for estimating socioeconomic inequalities in disease prevalence in Indonesia," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(8), pages 1233-1241, November.
    • Handle: RePEc:spr:ijphth:v:64:y:2019:i:8:d:10.1007_s00038-019-01301-5
    DOI: 10.1007/s00038-019-01301-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00038-019-01301-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00038-019-01301-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    2. Owen O'Donnell & Eddy van Doorslaer & Adam Wagstaff & Magnus Lindelow, 2008. "Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation," World Bank Publications - Books, The World Bank Group, number 6896, December.
    3. Mackenbach, Johan P. & Kunst, Anton E., 1997. "Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe," Social Science & Medicine, Elsevier, vol. 44(6), pages 757-771, March.
    4. Sukumar Vellakkal & S V Subramanian & Christopher Millett & Sanjay Basu & David Stuckler & Shah Ebrahim, 2013. "Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    5. Kaplan, Mark S. & Huguet, Nathalie & Feeny, David H. & McFarland, Bentson H., 2010. "Self-reported hypertension prevalence and income among older adults in Canada and the United States," Social Science & Medicine, Elsevier, vol. 70(6), pages 844-849, March.
    6. Zimmer, Zachary & Amornsirisomboon, Pattama, 2001. "Socioeconomic status and health among older adults in Thailand: an examination using multiple indicators," Social Science & Medicine, Elsevier, vol. 52(8), pages 1297-1311, April.
    7. repec:dau:papers:123456789/10510 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cinzia Di Novi & Anna Marenzi & Dino Rizzi, 2018. "Do healthcare tax credits help poor-health individuals on low incomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 293-307, March.
    2. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
    3. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    4. Jinkook Lee & McGovern, Mark E. & David E. Bloom & P. Arokiasamy & Arun Risbud & Jennifer O?Brien & Varsha Kale & Peifeng Hu, 2015. "Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data," Working Paper 228841, Harvard University OpenScholar.
    5. McGovern, Mark E., 2014. "Comparing the relationship between stature and later life health in six low and middle income countries," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 128-148.
    6. Kehinde O. Omotoso & Steven F. Koch, 2017. "Social Determinants of Health Inequalities in South Africa: A Decomposition Analysis," Working Papers 201716, University of Pretoria, Department of Economics.
    7. Sözmen, Kaan & Ünal, Belgin, 2016. "Explaining inequalities in Health Care Utilization among Turkish adults: Findings from Health Survey 2008," Health Policy, Elsevier, vol. 120(1), pages 100-110.
    8. Lee, Jinkook & McGovern, Mark E. & Bloom, David E. & Arokiasamy, P. & Risbud, Arun & O’Brien, Jennifer & Kale, Varsha & Hu, Peifeng, 2015. "Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data," Economics & Human Biology, Elsevier, vol. 19(C), pages 145-156.
    9. Enrica Chiappero‐Martinetti & Paola Salardi & Francesco Scervini, 2019. "Estimating conversion rates: A new empirical strategy with an application to health care in Italy," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 748-764, June.
    10. Barbosa, Estela Capelas & Cookson, Richard, 2019. "Multiple inequity in health care: An example from Brazil," Social Science & Medicine, Elsevier, vol. 228(C), pages 1-8.
    11. Thomas, Ranjeeta & Burger, Ronelle & Hauck, Katharina, 2018. "Richer, wiser and in better health? The socioeconomic gradient in hypertension prevalence, unawareness and control in South Africa," Social Science & Medicine, Elsevier, vol. 217(C), pages 18-30.
    12. Rohde, Kirsten I.M. & Van Ourti, Tom & Soebhag, Amar, 2023. "Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions," Journal of Health Economics, Elsevier, vol. 90(C).
    13. Joko Mulyanto & Dionne S Kringos & Anton E Kunst, 2019. "The evolution of income-related inequalities in healthcare utilisation in Indonesia, 1993–2014," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-15, June.
    14. Arokiasamy, Perianayagam & Uttamacharya, Uttamacharya & Kowal, Paul, 2013. "Socioeconomic and age gradients of health of Indian adults: an assessment of self-reported and performance-based measures of health," MPRA Paper 54912, University Library of Munich, Germany, revised Feb 2014.
    15. Ilke Onur & Malathi Velamuri, 2018. "The gap between self-reported and objective measures of disease status in India," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    16. Chipo Mutyambizi & Frederik Booysen & Andrew Stokes & Milena Pavlova & Wim Groot, 2019. "Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: A decomposition analysis," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-21, January.
    17. Cheng, Lingguo & Liu, Hong & Zhang, Ye & Zhao, Zhong, 2018. "The health implications of social pensions: Evidence from China's new rural pension scheme," Journal of Comparative Economics, Elsevier, vol. 46(1), pages 53-77.
    18. Nesson, Erik T. & Robinson, Joshua J., 2019. "On the measurement of health and its effect on the measurement of health inequality," Economics & Human Biology, Elsevier, vol. 35(C), pages 207-221.
    19. Hajizadeh, Mohammad & Mitnitski, Arnold & Rockwood, Kenneth, 2016. "Socioeconomic gradient in health in Canada: Is the gap widening or narrowing?," Health Policy, Elsevier, vol. 120(9), pages 1040-1050.
    20. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijphth:v:64:y:2019:i:8:d:10.1007_s00038-019-01301-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.