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A national burden of disease calculation: Dutch disability-adjusted life-years

Author

Listed:
  • Melse, J.M.
  • Essink-Bot, M.-L.
  • Kramers, P.G.N.
  • Hoeymans, N.

Abstract

Objectives. This study estimated the burden of disease due to 48 major causes in the Netherlands in 1994 in disability-adjusted life-years (DALYs), using national epidemiologic data and disability weights, and explored associated problems and uncertainties. Methods. We combined data from Dutch vital statistics, registrations, and surveys with Dutcl disability weights to calculate disease-specific health loss in DALYs, which are the sum of years of life lost (YLLs) and years lived with disability (YLDs) weighted for severity. Results. YLLs were primarily lost by cardiovascular diseases and cancers, while YLDs were mostly lost by mental disorders and a range of chronic somatic disorders (such as chronic nonspecific lung disease and diabetes). These 4 diagnostic groups caused approximately equal numbers of DALYs. Sensitivity analysis calls for improving the accuracy of the epidemiologic data in connection with disability weights, especially for mild and frequent diseases. Conclusions. The DALY approach appeared to be feasible at a national Western European level and produced interpretable results, comparable to resuits from the Global Burden of Disease Study for the Established Market Economies. Suggestions for improving the methodology and its applicability are presented.

Suggested Citation

  • Melse, J.M. & Essink-Bot, M.-L. & Kramers, P.G.N. & Hoeymans, N., 2000. "A national burden of disease calculation: Dutch disability-adjusted life-years," American Journal of Public Health, American Public Health Association, vol. 90(8), pages 1241-1247.
    • Handle: RePEc:aph:ajpbhl:2000:90:8:1241-1247_0
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    Cited by:

    1. Pieter H. M. van Baal & Talitha L. Feenstra & Rudolf T. Hoogenveen & G. Ardine de Wit & Werner B. F. Brouwer, 2007. "Unrelated medical care in life years gained and the cost utility of primary prevention: in search of a ‘perfect’ cost–utility ratio," Health Economics, John Wiley & Sons, Ltd., vol. 16(4), pages 421-433, April.
    2. Brecht Devleesschauwer & Arie Havelaar & Charline Maertens de Noordhout & Juanita Haagsma & Nicolas Praet & Pierre Dorny & Luc Duchateau & Paul Torgerson & Herman Oyen & Niko Speybroeck, 2014. "Calculating disability-adjusted life years to quantify burden of disease," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(3), pages 565-569, June.
    3. Nadia Yakhelef & Martine Audibert & Gabriella Ferlazzo & Joseph Sitienei & Steve Wanjala & Francis Varaine & Maryline Bonnet & Helena Huerga, 2020. "Cost-effectiveness of diagnostic algorithms including lateral-flow urine lipoarabinomannan for HIV-positive patients with symptoms of tuberculosis," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    4. Michaël Schwarzinger & Jean‐Louis Lanoë & Erik Nord & Isabelle Durand‐Zaleski, 2004. "Lack of multiplicative transitivity in person trade‐off responses," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 171-181, February.
    5. Luqman Tariq & Matthijs van den Berg & Rudolf T Hoogenveen & Pieter H M van Baal, 2009. "Cost-Effectiveness of an Opportunistic Screening Programme and Brief Intervention for Excessive Alcohol Use in Primary Care," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-8, May.
    6. van Baal, Pieter H.M. & Brouwer, Werner B.F. & Hoogenveen, Rudolf T. & Feenstra, Talitha L., 2007. "Increasing tobacco taxes: A cheap tool to increase public health," Health Policy, Elsevier, vol. 82(2), pages 142-152, July.
    7. Wei Pan & Jonathan Flint & Liat Shenhav & Tianli Liu & Mingming Liu & Bin Hu & Tingshao Zhu, 2019. "Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    8. Mara Airoldi & Alec Morton, 2009. "Adjusting life for quality or disability: stylistic difference or substantial dispute?," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1237-1247, November.
    9. Desirée Vos-Vromans & Silvia Evers & Ivan Huijnen & Albère Köke & Minou Hitters & Nieke Rijnders & Menno Pont & André Knottnerus & Rob Smeets, 2017. "Economic evaluation of multidisciplinary rehabilitation treatment versus cognitive behavioural therapy for patients with chronic fatigue syndrome: A randomized controlled trial," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-21, June.
    10. Chen, Ariel & Jacobsen, Kathryn H. & Deshmukh, Ashish A. & Cantor, Scott B., 2015. "The evolution of the disability-adjusted life year (DALY)," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 10-15.
    11. Nadia Yakhelef & Martine Audibert & Gabriella Ferlazzo & Joseph Sitienei & Steve Wanjala & Francis Varaine & Maryline Bonnet & Helena Huerga, 2020. "Cost-effectiveness of diagnostic algorithms including lateral-flow urine lipoarabinomannan for HIV-positive patients with symptoms of tuberculosis," Post-Print halshs-03170014, HAL.
    12. Ewan M. Tomeny & Thomas Hampton & Phuong Bich Tran & Laura Rosu & Mphatso D. Phiri & Kathryn A. Haigh & Jasper Nidoi & Tom Wingfield & Eve Worrall, 2024. "Rethinking Tuberculosis Morbidity Quantification: A Systematic Review and Critical Appraisal of TB Disability Weights in Cost-Effectiveness Analyses," PharmacoEconomics, Springer, vol. 42(11), pages 1209-1236, November.
    13. Patrick Hofstetter & James K. Hammitt, 2002. "Selecting Human Health Metrics for Environmental Decision‐Support Tools," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 965-983, October.

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