J Bone Metab.  2019 May;26(2):83-88. 10.11005/jbm.2019.26.2.83.

Disability Weights for Osteoporosis and Osteoporotic Fractures in South Korea

Affiliations
  • 1College of Pharmacy, Ewha Womans University, Seoul, Korea.
  • 2Graduate School of Public Health, Seoul National University, Seoul, Korea.
  • 3Division of Biology & Public Health, Mokwon University, Daejeon, Korea. haeyoungkwon0111@gmail.com
  • 4Amgen Korea, Seoul, Korea.

Abstract

BACKGROUND
Korea is expected to become an ultra-aged society, in which the elderly population will account for more than 20% of the total population, after 2025. Thus, the social costs due to osteoporotic fractures are expected to increase. Therefore, this study aimed to measure disability weights (DWs) of osteoporosis and osteoporotic fractures in Korea.
METHODS
The scenarios were developed to standardize the severity of 6 health statuses: osteoporosis and osteoporotic fractures including wrist, hip, post-hip, vertebral, and post-vertebral fracture. The values for these 6 health statuses were sought via a person trade-off (PTO) approach. We measured the value by PTO and we calculated it to DW of 6 health statuses. Three clinical expertise panels of 33 experts were established, and face-to-face interviews were conducted from July to December 2017.
RESULTS
The distribution of DW varied by panel. DWs ranged from 0.5 (Osteoporosis) to 0.857 (Hip fracture) for Panel 1, 0.091 (Osteoporosis) to 0.5 (Hip fracture) for Panel 2, and 0.091 (Osteoporosis) to 0.726 (Hip fracture) for Panel 3. The final values for the 6 health statuses obtained by pooling all data from 3 panels ranged from 0.286 (Osteoporosis) to 0.750 (Hip fracture). There was no significant difference in rankings for the 6 health statuses among the 3 panels.
CONCLUSIONS
Comparing the DW of osteoporotic fracture in this study with other diseases in previous studies, it is predicted that osteoporotic fractures, especially hip fractures, will have a considerable burden of disease.

Keyword

Disability weights; Korea; Osteoporosis; Osteoporotic fractures; Person-Trade-Off

MeSH Terms

Aged
Hip
Hip Fractures
Humans
Korea*
Osteoporosis*
Osteoporotic Fractures*
Weights and Measures*
Wrist

Cited by  1 articles

Potential Biomarkers to Improve the Prediction of Osteoporotic Fractures
Beom-Jun Kim, Seung Hun Lee, Jung-Min Koh
Endocrinol Metab. 2020;35(1):55-63.    doi: 10.3803/EnM.2020.35.1.55.


Reference

1. Lee JW, Kim DH, Cho DH. Reducing suicide of the elderly and futures of aged society. Future Res. 2017; 2:99–123.
2. Ha YC, Kim TY, Lee A, et al. Current trends and future projections of hip fracture in South Korea using nationwide claims data. Osteoporos Int. 2016; 27:2603–2609.
Article
3. Kim J, Lee E, Kim S, et al. Economic burden of osteoporotic fracture of the elderly in South Korea: a national survey. Value Health Reg Issues. 2016; 9:36–41.
Article
4. Kirk MD, Pires SM, Black RE, et al. World Health Organization estimates of the global and regional disease burden of 22 foodborne bacterial, protozoal, and viral diseases, 2010: a data synthesis. PLoS Med. 2015; 12:e1001921.
Article
5. Nord E. An alternative to QALYs: the saved young life equivalent (SAVE). BMJ. 1992; 305:875–877.
Article
6. Nord E, Richardson J, Macarounas-Kirchmann K. Social evaluation of health care versus personal evaluation of health states. Evidence on the validity of four health-state scaling instruments using Norwegian and Australian surveys. Int J Technol Assess Health Care. 1993; 9:463–478.
Article
7. Nord E. The person-trade-off approach to valuing health care programs. Med Decis Making. 1995; 15:201–208.
Article
8. Yoon SJ, Ha BM, Kang JW, et al. Estimation of attributable burden due to premature death from smoking in Korea. Korean J Prev Med. 2001; 34:191–199.
9. Lee TJ, Kim J, Sung J. Estimation of disability-adjusted life years of major cardiovascular diseases in Korea. Korean Health Econ Rev. 2002; 8:91–106.
10. Jo J, Lee TY, Lee SG, et al. Alcohol-related years of potential life lost in Korea. J Korean Soc Health Stat. 2003; 28:40–56.
11. Lee JK. Measuring the burden of diseases due to alcohol consumption in Korea [master's thesis]. Seoul: Seoul National University;2004.
12. Park JH, Yoon SJ, Lee HY, et al. Estimating the burden of psychiatric disorder in Korea. J Prev Med Public Health. 2006; 39:39–45.
13. Lee CE, Kwon S. Differences in the burden of disease of the elderly by socioeconomic status. Korean J Health Policy Adm. 2008; 18:1–22.
Article
14. Kim SJ. Burden of disease due to COPD [master's thesis]. Seoul: Sookmyung Women's University;2009.
15. Shin HS, Yun S, Jeong JW, et al. The impacts of climate change and age factors on the food-borne disease. Health Soc Welf Rev. 2015; 35:186–210.
Article
16. Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. Lancet. 1997; 349:1498–1504.
Article
17. Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380:2224–2260.
18. Lee JK, Yoon SJ, Do YK, et al. Disability weights for diseases in Korea. Korean J Prev Med. 2003; 36:163–170.
19. Wittrup-Jensen K, Pedersen KM. An empirical assessment of the person trade-off: Valuation of health, framing effects, and estimation of weights for fairness. Odense, DK: Syddansk Universitet;2008.
20. Patrick DL, Bush JW, Chen MM. Methods for measuring levels of well-being for a health status index. Health Serv Res. 1973; 8:228–245.
21. Stouthard MEA, Essink-Bot ML, Bonsel GJ. Disability weights for diseases: a modified protocol and results for a Western European region. Eur J Public Health. 2000; 10:24–30.
Article
22. Mansley EC, Elbasha EH. Preferences and person trade-offs: forcing consistency or inconsistency in health-related quality of life measures. Health Econ. 2003; 12:187–198.
Article
23. Burden of Disease Unit, Harvard School of Public Health. Measuring disability weights for a national burden of disease study using the person-trade-off method: a revised protocol. Cambridge, MA: Harvard School of Public Health;1996.
24. Murray CJL, Lopez AD, editors. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020: Summary. Geneva, CH: World Health Organization;1996.
25. Salomon JA, Haagsma JA, Davis A, et al. Disability weights for the Global Burden of Disease 2013 study. Lancet Glob Health. 2015; 3:e712–e723.
Article
26. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015; 386:743–800.
27. Murray CJ, Ezzati M, Flaxman AD, et al. GBD 2010: design, definitions, and metrics. Lancet. 2012; 380:2063–2066.
Article
28. Bertram M, Norman R, Kemp L, et al. Review of the long-term disability associated with hip fractures. Inj Prev. 2011; 17:365–370.
Article
29. Papadimitriou N, Tsilidis KK, Orfanos P, et al. Burden of hip fracture using disability-adjusted life-years: a pooled analysis of prospective cohorts in the CHANCES consortium. Lancet Public Health. 2017; 2:e239–e246.
Article
30. Do YK, Yoon SJ, Lee JK, et al. Disability weights for the korean burden of disease study: focused on comparison with disability weights in the Australian burden of disease study. J Prev Med Public Health. 2004; 37:59–71.
Full Text Links
  • JBM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr