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The direct healthcare costs associated with psychological distress and major depression: A population-based cohort study in Ontario, Canada

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  • Maria Chiu
  • Michael Lebenbaum
  • Joyce Cheng
  • Claire de Oliveira
  • Paul Kurdyak

Abstract

The objective of our study was to estimate direct healthcare costs incurred by a population-based sample of people with psychological distress or depression. We used the 2002 Canadian Community Health Survey on Mental Health and Well Being and categorized individuals as having psychological distress using the Kessler-6, major depressive disorder (MDD) using DSM-IV criteria and a comparison group of participants without MDD or psychological distress. Costs in 2013 USD were estimated by linking individuals to health administrative databases and following them until March 31, 2013. Our sample consisted of 9,965 individuals, of whom 651 and 409 had psychological distress and MDD, respectively. Although the age-and-sex adjusted per-capita costs were similarly high among the psychologically distressed ($3,364, 95% CI: $2,791, $3,937) and those with MDD ($3,210, 95% CI: $2,413, $4,008) compared to the comparison group ($2,629, 95% CI: $2,312, $2,945), the population-wide excess costs for psychological distress ($441 million) were more than twice that for MDD ($210 million) as there was a greater number of people with psychological distress than depression. We found substantial healthcare costs associated with psychological distress and depression, suggesting that psychological distress and MDD have a high cost burden and there may be public health intervention opportunities to relieve distress. Further research examining how individuals with these conditions use the healthcare system may provide insight into the allocation of limited healthcare resources while maintaining high quality care.

Suggested Citation

  • Maria Chiu & Michael Lebenbaum & Joyce Cheng & Claire de Oliveira & Paul Kurdyak, 2017. "The direct healthcare costs associated with psychological distress and major depression: A population-based cohort study in Ontario, Canada," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-13, September.
  • Handle: RePEc:plo:pone00:0184268
    DOI: 10.1371/journal.pone.0184268
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    References listed on IDEAS

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    1. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    2. Lasser, K.E. & Himmelstein, D.U. & Woolhandler, S., 2006. "Access to care, health status, and health disparities in the United States and Canada: Results of a Cross-National Population Based Survey," American Journal of Public Health, American Public Health Association, vol. 96(7), pages 1300-1307.
    3. Yuki Tomonaga & Josef Haettenschwiler & Martin Hatzinger & Edith Holsboer-Trachsler & Michael Rufer & Urs Hepp & Thomas Szucs, 2013. "The Economic Burden of Depression in Switzerland," PharmacoEconomics, Springer, vol. 31(3), pages 237-250, March.
    4. Julie Donohue & Harold Pincus, 2007. "Reducing the Societal Burden of Depression," PharmacoEconomics, Springer, vol. 25(1), pages 7-24, January.
    5. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    Cited by:

    1. Agata Łaszewska & Johannes Wancata & Rebecca Jahn & Judit Simon, 2020. "The excess economic burden of mental disorders: findings from a cross-sectional prevalence survey in Austria," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1075-1089, September.
    2. Adam J. Novic & Charrlotte Seib & Nicola W. Burton, 2022. "Longitudinal Association of Physical Activity, Mastery and Psychological Distress in Mid-Aged Adults over 9-Years," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    3. Jin, Yinzi & Zhu, Dawei & He, Ping, 2020. "Social causation or social selection? The longitudinal interrelationship between poverty and depressive symptoms in China," Social Science & Medicine, Elsevier, vol. 249(C).

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