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Multimorbidity-adjusted YLD rates calculated through Monte-Carlo simulation

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OBJECTIVES: To efficiently utilize limited health and medical resources, it is necessary to accurately measure the level of health, which requires estimating the multimorbidity-corrected burden of disease. METHODS: This study used 2015 and 2016 data from the National Health Insurance Service, and employed the list of diseases defined in a Korean study of the burden of disease, the criteria for prevalence, and the “cause–sequelae–health state” disease system. When calculating the years lost to disability (YLD), multimorbidity was corrected using Monte-Carlo simulation. RESULTS: Correcting for multimorbidity changed YLD at all ages in Korea by -1.2% (95% CI, -24.1 to 3.6) in men and -12.4% (95% CI, -23.0 to 0.3) in women in 2015, and by -10.8% (95% CI, -24.1 to 4.6) in men and -11.1% (95% CI, -22.8 to 1.7) in women in 2016. The YLD rate for non-communicable diseases in men decreased more than that of other disease groups in both years, by -11.8% (95% CI, -19.5 to 3.6) and -11.5% (95% CI, -19.3 to -3.0), respectively. The overall YLD rate changed by -1.3% in the 5-year to 9-year age group, and the magnitude of this change remained similar until the 10- to 19-year age group, gradually decreased after 20 years of age, and steeply increased to more than 10% in those aged 60 and older. CONCLUSIONS: Calculations of YLD should adjust for multimorbidity, as the disease burden can otherwise be overestimated for the elderly, who tend to exhibit a high prevalence of multimorbidity

Abstract

OBJECTIVES: To efficiently utilize limited health and medical resources, it is necessary to accurately measure the level of health, which requires estimating the multimorbidity-corrected burden of disease. METHODS: This study used 2015 and 2016 data from the National Health Insurance Service, and employed the list of diseases defined in a Korean study of the burden of disease, the criteria for prevalence, and the “cause–sequelae–health state” disease system. When calculating the years lost to disability (YLD), multimorbidity was corrected using Monte-Carlo simulation. RESULTS: Correcting for multimorbidity changed YLD at all ages in Korea by -1.2% (95% CI, -24.1 to 3.6) in men and -12.4% (95% CI, -23.0 to 0.3) in women in 2015, and by -10.8% (95% CI, -24.1 to 4.6) in men and -11.1% (95% CI, -22.8 to 1.7) in women in 2016. The YLD rate for non-communicable diseases in men decreased more than that of other disease groups in both years, by -11.8% (95% CI, -19.5 to 3.6) and -11.5% (95% CI, -19.3 to -3.0), respectively. The overall YLD rate changed by -1.3% in the 5-year to 9-year age group, and the magnitude of this change remained similar until the 10- to 19-year age group, gradually decreased after 20 years of age, and steeply increased to more than 10% in those aged 60 and older. CONCLUSIONS: Calculations of YLD should adjust for multimorbidity, as the disease burden can otherwise be overestimated for the elderly, who tend to exhibit a high prevalence of multimorbidity

참고문헌 (22)

  1. "Summary measures of population health: concepts, ethics, measurement and applications" (2002)[URL]
  2. Mathers CD, "Measuring the burden of neglected tropical diseases : the global burden of disease framework", PLoS Negl Trop Dis, 1, pp.e114~ (2007)
  3. Institute of Medicine, "Summarizing population health: directions for the development and application of population metrics" (1998), National Academies Press
  4. Vos T, "Years lived with disability(YLDs)for 1160 sequelae of 289diseases and injuries 1990-2010 : a systematic analysis for the Global Burden of Disease Study 2010", Lancet, 380(9859), pp.2163~2196 (2012)
  5. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators, "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015:a systematic analysis for the Global Burden of Disease Study 2015", Lancet, 388, pp.1545~1602 (2016)
  6. Nunes BP, "Multimorbidity and mortality in older adults : a systematic review and meta-analysis", Arch Gerontol Geriatr, 67, pp.130~138 (2016)
  7. Marengoni A, "Aging with multimorbidity : a systematic review of the literature", Ageing Res Rev, 10, pp.430~439 (2011)
  8. Lee Y, "Patterns of multimorbidity in adults : an association rules analysis using the Korea Health Panel", Int J Environ Res Public Health, 17, pp.2618~ (2020)
  9. Pati S, "Prevalence and outcomes of multimorbidity in South Asia : a systematic review", BMJ Open, 5, pp.e007235~ (2015)
  10. Makovski TT, "Multimorbidity and quality of life : systematic literature review and meta-analysis", Ageing Res Rev, 53, pp.100903~ (2019)
  11. Park B, "Multimorbidity and health-related quality of life in Koreans aged 50 or older using KNHANES 2013-2014", Health Qual Life Outcomes, 16, pp.186~ (2018)
  12. Wang L, "A systematic review of cost-of-illness studies of multimorbidity", Appl Health Econ Health Policy, 16, pp.15~29 (2018)
  13. Glynn LG, "The prevalence of multimorbidity in primary care and its effect on health care utilization and cost", Fam Pract, 28, pp.516~523 (2011)
  14. Yoon SJ, "The Korean National Burden of Disease Study : from evidence to policy", J Korean Med Sci, 34(Suppl 1), pp.e89~ (2018)
  15. Yoon J, "Disabilityadjusted life years for 313 diseases and injuries : the 2012 Korean Burden of Disease Study", J Korean Med Sci, 31(Suppl 2), pp.S146~S157 (2016)
  16. Ock M, "Estimation of disability weights in the general population of South Korea using a paired comparison", PLoS One, 11, pp.e0162478~ (2016)
  17. Vos T, "Years lived with disability(YLDs)for 1160 sequelae of 289diseases and injuries 1990-2010 : a systematic analysis for the Global Burden of Disease Study 2010", Lancet, 380, pp.2163~2196 (2012)
  18. Vock DM, "Accounting for model uncertainty in estimating global burden of disease", Bull World Health Organ, 89, pp.112~120 (2011)
  19. Hilderink HB, "Accounting for multimorbidity can affect the estimation of the Burden of Disease : a comparison of approaches", Arch Public Health, 74, pp.37~ (2016)
  20. "Disability weights for diseases in the Netherlands" (1997)[URL]
  21. Mathers CD, "The burden of disease and injury in Australia", Bull World Health Organ, 79, pp.1076~1084 (2001)
  22. Mathers CD, "Adjusting for dependent comorbidity in the calculation of healthy life expectancy", Popul Health Metr, 4, pp.4~ (2006)

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