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Review of Issues for Disability Weight Studies

장애가중치 산출 연구에서의 쟁점 검토

  • Ock, Minsu (Department of Preventive Medicine, University of Ulsan College of Medicine) ;
  • Ko, Seulki (Department of Preventive Medicine, Korea University College of Medicine) ;
  • Lee, Hyeon-Jeong (Department of Preventive Medicine, University of Ulsan College of Medicine) ;
  • Jo, Min-Woo (Department of Preventive Medicine, University of Ulsan College of Medicine)
  • 옥민수 (울산대학교 의과대학 예방의학교실) ;
  • 고슬기 (고려대학교 의과대학 예방의학교실) ;
  • 이현정 (울산대학교 의과대학 예방의학교실) ;
  • 조민우 (울산대학교 의과대학 예방의학교실)
  • Received : 2016.09.07
  • Accepted : 2016.12.05
  • Published : 2016.12.31

Abstract

Summary measures of population health (SMPHs) have been used to estimate the burden of diseases. Among various type of SMPHs, disability adjusted life year (DALY) and healthy life expectancy (HALE) have been calculated in the global and national burden of disease studies. In order to calculate DALY and HALE, disability weight is an essential element. Disability weights quantify the level of disability for health states or diseases and have values between 0 (full health) to 1 (being dead). In this study, we reviewed the main disability weights studies and determined their meaning and limitations. Furthermore, we provided the whole process of typical disability weight study and reviewed key issues as follows: health state or disease description development, panel composition, valuation method, validation of disability weight, cross-cultural variability in health state or disease, and so on. The results from this study will be helpful to conduct future disability weight studies for adapting disability weights and developing new methodologies.

Keywords

References

  1. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2197-2223. DOI: https://doi.org/10.1016/S0140-6736(12)61689-4.
  2. Ock M, Han JW, Lee JY, Kim SH, Jo MW. Estimating quality-adjusted life-year loss due to noncommunicable diseases in Korean adults through to the year 2040. Value Health 2015;18(1):61-66. DOI: https://doi.org/10.1016/j.jval.2014.09.008.
  3. Yoon J, Oh IH, Seo H, Kim EJ, Gong YH, Ock M, et al. Disability-adjusted life years for 313 diseases and injuries: the 2012 Korean burden of disease study. J Korean Med Sci 2016;31 Suppl 2:S146-S157. DOI: https://doi.org/10.3346/jkms.2016.31.S2.S146.
  4. Lee JY, Ock M, Kim SH, Go DS, Kim HJ, Jo MW. Health-adjusted life expectancy (HALE) in Korea: 2005-2011. J Korean Med Sci 2016;31 Suppl 2:S139-S145. DOI: https://doi.org/10.3346/jkms.2016.31.S2.S139.
  5. GBD 2013 Risk Factors Collaborators, Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;386(10010):2287-2323. DOI: https://doi.org/10.1016/S0140-6736(15)00128-2.
  6. Yoon SJ, Bae SC. Current scope and perspective of burden of disease study based on health related quality of life. J Korean Med Assoc 2004; 47(7):600-602. DOI: https://doi.org/10.5124/jkma.2004.47.7.600.
  7. Murray CJ, Salomon JA, Mathers C. A critical examination of summary measures of population health. Bull World Health Organ 2000;78(8):981-994.
  8. Hyder AA, Puvanachandra P, Morrow RH. Measuring the health of populations: explaining composite indicators. J Public Health Res 2012;1(3): 222-228. DOI: https://doi.org/10.4081/jphr.2012.e35.
  9. Oh IH, Yoon SJ, Kim EJ. The burden of disease in Korea. J Korean Med Assoc 2011;54(6):646-652. DOI: https://doi.org/10.5124/jkma.2011.54.6.646.
  10. Ock M, Lee JY, Oh IH, Park H, Yoon SJ, Jo MW. Disability weights measurement for 228 causes of disease in the Korean Burden of Disease Study 2012. J Korean Med Sci 2016;31 Suppl 2:S129-S138. DOI: https://doi.org/10.3346/jkms.2016.31.S2.S129.
  11. Murray CJ, Lopez AD. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Cambridge (MA): Harvard University Press; 1996.
  12. World Health Organization. The global burden of disease: 2004 update. Geneva: World Health Organization; 2008.
  13. Stouthard ME, Essink-Bot ML, Bonsel G, Barendregt J, Kramers P. Disability weights for diseases in the Netherlands. Rotterdam: Erasmus University; 1997.
  14. Schwarzinger M, Stouthard ME, Burstrom K, Nord E. Cross-national agreement on disability weights: the European Disability Weights Project. Popul Health Metr 2003;1(1):9. DOI: https://doi.org/10.1186/1478-7954-1-9.
  15. Jelsma J, Chivaura VG, Mhundwa K, De Weerdt W, de Cock P. The global burden of disease disability weights. Lancet 2000;355(9220):2079-2080. DOI: https://doi.org/10.1016/s0140-6736(05)73538-8.
  16. Haagsma JA, Polinder S, van Beeck EF, Mulder S, Bonsel GJ. Alternative approaches to derive disability weights in injuries: do they make a difference? Qual Life Res 2009;18(5):657-665. DOI: https://doi.org/10.1007/s11136-009-9484-0.
  17. Brennan DS, Spencer AJ, Roberts-Thomson KF. Quality of life and disability weights associated with periodontal disease. J Dent Res 2007;86(8):713-717. DOI: https://doi.org/10.1177/154405910708600805.
  18. Arnesen T, Nord E. The value of DALY life: problems with ethics and validity of disability adjusted life years. BMJ 1999;319(7222):1423-1425. DOI: https://doi.org/10.1136/bmj.319.7222.1423.
  19. Groce NE. Disability in cross-cultural perspective: rethinking disability. Lancet 1999;354(9180):756-757. DOI: https://doi.org/10.1016/s0140-6736(99)06140-1.
  20. Osterdal LP. The lack of theoretical support for using person trade-offs in QALY-type models. Eur J Health Econ 2009;10(4):429-436. DOI: https://doi.org/10.1007/s10198-009-0150-9.
  21. Ustun TB, Rehm J, Chatterji S, Saxena S, Trotter R, Room R, et al. Multiple-informant ranking of the disabling effects of different health conditions in 14 countries. WHO/NIH Joint Project CAR Study Group. Lancet 1999; 354(9173):111-115. DOI: https://doi.org/10.1016/s0140-6736(98)07507-2.
  22. Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2129-2143. DOI: https://doi.org/10.1016/S0140-6736(12)61680-8.
  23. Salomon JA, Haagsma JA, Davis A, de Noordhout CM, Polinder S, Havelaar AH, et al. Disability weights for the Global Burden of Disease 2013 study. Lancet Glob Health 2015;3(11):e712-e723. DOI: https://doi.org/10.1016/S2214-109X(15)00069-8.
  24. Haagsma JA, Maertens de Noordhout C, Polinder S, Vos T, Havelaar AH, Cassini A, et al. Assessing disability weights based on the responses of 30,660 people from four European countries. Popul Health Metr 2015; 13:10. DOI: https://doi.org/10.1186/s12963-015-0042-4.
  25. Taylor HR, Jonas JB, Keeffe J, Leasher J, Naidoo K, Pesudovs K, et al. Disability weights for vision disorders in Global Burden of Disease study. Lancet 2013;381(9860):23. DOI: https://doi.org/10.1016/S0140-6736(12)62081-9.
  26. Voigt K, King NB. Disability weights in the global burden of disease 2010 study: two steps forward, one step back? Bull World Health Organ 2014;92(3):226-228. DOI: https://doi.org/10.2471/BLT.13.126227.
  27. Nord E. Disability weights in the Global Burden of Disease 2010: unclear meaning and overstatement of international agreement. Health Policy 2013;111(1):99-104. DOI: https://doi.org/10.1016/j.healthpol.2013.03.019.
  28. Yoon SJ, Kwon YD, Kim BY. Estimate the disability weight of major cancers in Korea using Delphi methods. J Prev Med Public Health 2000; 33(4):409-414.
  29. Lee JK, Yoon SJ, Do YK, Kwon YH, Kim CY, Park K, et al. Disability weights for diseases in Korea. Korean J Prev Med 2003;36(2):163-170.
  30. Do YK, Yoon SJ, Lee JK, Kwon YH, Lee SI, Kim C, et al. Disability weights for the Korean burden of disease study: focused on comparison with disability weights in the Australian burden of disease study. Korean J Prev Med 2004;37(1):59-71.
  31. Yoon SJ, Bae SC, Lee SI, Chang H, Jo HS, Sung JH, et al. Measuring the burden of disease in Korea. J Korean Med Sci 2007;22(3):518-523. DOI: https://doi.org/10.3346/jkms.2007.22.3.518.
  32. Choi KS, Park JH, Lee KS. Disability weights for cancers in Korea. J Korean Med Sci 2013;28(6):808-813. DOI: https://doi.org/10.3346/jkms.2013.28.6.808.
  33. Ock M, Ahn J, Yoon SJ, Jo MW. Estimation of disability weights in the general population of South Korea using a paired comparison. PLoS One 2016;11(9):e0162478. DOI: https://doi.org/10.1371/journal.pone.0162478.
  34. Haagsma JA, Polinder S, Cassini A, Colzani E, Havelaar AH. Review of disability weight studies: comparison of methodological choices and values. Popul Health Metr 2014;12:20. DOI: https://doi.org/10.1186/s12963-014-0020-2.
  35. Dolan P. Whose preferences count? Med Decis Making 1999;19(4):482-486. DOI: https://doi.org/10.1177/0272989x9901900416.
  36. Dolan P, Olsen JA, Menzel P, Richardson J. An inquiry into the different perspectives that can be used when eliciting preferences in health. Health Econ 2003;12(7):545-551. DOI: https://doi.org/10.1002/hec.760.
  37. Menzel P, Dolan P, Richardson J, Olsen JA. The role of adaptation to disability and disease in health state valuation: a preliminary normative analysis. Soc Sci Med 2002;55(12):2149-2158. DOI: https://doi.org/10.1016/s0277-9536(01)00358-6.
  38. Kim SH, Kim HJ, Lee SI, Jo MW. Comparing the psychometric properties of the EQ-5D-3L and EQ-5D-5L in cancer patients in Korea. Qual Life Res 2012;21(6):1065-1073. DOI: https://doi.org/10.1007/s11136-011-0018-1.
  39. Mansley EC, Elbasha EH. Preferences and person trade-offs: forcing consistency or inconsistency in health-related quality of life measures? Health Econ 2003;12(3):187-198. DOI: https://doi.org/10.1002/hec.707.
  40. Ali S, Ronaldson S. Ordinal preference elicitation methods in health economics and health services research: using discrete choice experiments and ranking methods. Br Med Bull 2012;103(1):21-44. DOI: https://doi.org/10.1093/bmb/lds020.
  41. M Versteegh M, M Vermeulen K, M A A Evers S, de Wit GA, Prenger R, A Stolk E. Dutch tariff for the five-level version of EQ-5D. Value Health 2016;19(4):343-352. DOI: https://doi.org/10.1016/j.jval.2016.01.003.
  42. Thurstone LL. A law of comparative judgment. Psychol Rev 1927;34(4): 273. https://doi.org/10.1037/h0070288
  43. Bradley RA, Terry ME. Rank analysis of incomplete block designs: I. the method of paired comparisons. Biometrika 1952;39(3/4):324-345. DOI: https://doi.org/10.2307/2334029.
  44. Ock M, Yi N, Ahn J, Jo MW. How many alternatives can be ranked?: a comparison of the paired comparison and ranking methods. Value Health 2016;19(5):655-660. DOI: https://doi.org/10.1016/j.jval.2016.03.1836.
  45. Neethling I, Jelsma J, Ramma L, Schneider H, Bradshaw D. Disability weights from a household survey in a low socio-economic setting: how does it compare to the global burden of disease 2010 study? Glob Health Action 2016;9:31754. DOI: https://doi.org/10.3402/gha.v9.31754.

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  1. Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea vol.34, pp.11, 2019, https://doi.org/10.3346/jkms.2019.34.e60