期刊论文详细信息
Population Health Metrics
Review of disability weight studies: comparison of methodological choices and values
Arie H Havelaar1  Edoardo Colzani3  Alessandro Cassini3  Suzanne Polinder2  Juanita A Haagsma2 
[1] Utrecht University, Institute for Risk Assessment Sciences, Utrecht, 3508 TD, the Netherlands;Department of Public Health, Erasmus Medical Center, Rotterdam, 3000 CA, The Netherlands;Office of the Chief Scientist, European Centre for Disease Prevention and Control, Stockholm, SE-171 83, Sweden
关键词: Prioritisation;    Summary measure of population health;    Disability adjusted life years;    Disease burden;    Value of life;   
Others  :  1139731
DOI  :  10.1186/s12963-014-0020-2
 received in 2013-09-12, accepted in 2014-07-20,  发布年份 2014
PDF
【 摘 要 】

Introduction

The disability-adjusted life year (DALY) is widely used to assess the burden of different health problems and risk factors. The disability weight, a value anchored between 0 (perfect health) and 1 (equivalent to death), is necessary to estimate the disability component (years lived with disability, YLDs) of the DALY. After publication of the ground-breaking Global Burden of Disease (GBD) 1996, alternative sets of disability weights have been developed over the past 16 years, each using different approaches with regards to the panel, health state description, and valuation methods. The objective of this study was to review all studies that developed disability weights and to critically assess the methodological design choices (health state and time description, panel composition, and valuation method). Furthermore, disability weights of eight specific conditions were compared.

Methods

Disability weights studies (1990¿2012) in international peer-reviewed journals and grey literature were identified with main inclusion criteria being that the study assessed DALY disability weights for several conditions or a specific group of illnesses. Studies were collated by design and methods and evaluation of results.

Results

Twenty-two studies met the inclusion criteria of our review. There is considerable variation in methods used to derive disability weights, although most studies used a disease-specific description of the health state, a panel that consisted of medical experts, and nonpreference-based valuation method to assess the values for the majority of the disability weights. Comparisons of disability weights across 15 specific disease and injury groups showed that the subdivision of a disease into separate health states (stages) differed markedly across studies. Additionally, weights for similar health states differed, particularly in the case of mild diseases, for which the disability weight differed by a factor of two or more.

Conclusions

In terms of comparability of the resulting YLDs, the global use of the same set of disability weights has advantages, though practical constraints and intercultural differences should be taken into account into such a set.

【 授权许可】

   
2014 Haagsma et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150322101555863.pdf 601KB PDF download
Figure 2. 47KB Image download
Figure 1. 14KB Image download
【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】
  • [1]Murray CJ: Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bull World Health Organ 1994, 72:429-445.
  • [2]Murray CJL, Lopez AD, Mathers CD: Summary Measures of Population Health: Concepts, Ethics, Measurement and Applications. World Health Organization, Geneva; 2002.
  • [3]Field MJ, Gold MR: Summarising Population Health: Directions for the Development and Application of Population Health Metrics. Institute of Medicine: National Academy Press, Washington D.C; 1998.
  • [4]Essink-Bot ML, Bonsel GJ: How to derive disability weights? In Summary Measures of Population Health: Concepts, Ethics, Measurement and Applications. Edited by Murray CJL, Lopez AD, Salomon JA. World Health Organization, Geneva; 2002.
  • [5]Drummond M, O¿Brien B, Stoddart GL, Torrance GW: Methods for the Economic Evaluation of Health Care Programmes. Oxford Medical Publications, Oxford, U.K.; 1997.
  • [6]Froberg DG, Kane RL: Methodology for measuring health-state preferences¿I: Measurement strategies. J Clin Epidemiol 1989, 42:345-354.
  • [7]McNamee P, Seymour J: Comparing generic preference-based health-related quality-of-life measures: advancing the research agenda. Expert Rev Pharmacoecon Outcomes Res 2005, 5:567-581.
  • [8]Boyd NF, Sutherland HJ, Heasman KZ, Tritchler DL, Cummings BJ: Whose utilities for decision analysis? Med Decis Making 1990, 10:58-67.
  • [9]Sackett DL, Torrance GW: The utility of different health states as perceived by the general public. J Chronic Dis 1978, 31:697-704.
  • [10]Balaban DJ, Sagi PC, Goldfarb NI, Nettler S: Weights for scoring the quality of well-being instrument among rheumatoid arthritis. A comparison to general population weights. Med Care 1986, 24:973-980.
  • [11]Dolders MG, Zeegers MP, Groot W, Ament A: A meta-analysis demonstrates no significant differences between patient and population preferences. J Clin Epidemiol 2006, 59:653-664.
  • [12]Haagsma JA: Disability Adjusted Life Years and Acute Onset Disorders: Improving Estimates of the non-Fatal Burden of Injuries and Infectious Intestinal Disease. Erasmus University Rotterdam, Rotterdam; 2010.
  • [13]Murray CJ, Acharya AK: Understanding DALYs (disability-adjusted life years). J Health Econ 1997, 16:703-730.
  • [14]Brazier J, Deverill M, Green C: A review of the use of health status measures in economic evaluation. J Health Serv Res Policy 1999, 4:174-184.
  • [15]Hawthorne G, Richardson J: Measuring the value of program outcomes: a review of multiattribute utility measures. Expert Rev Pharmacoecon Outcomes Res 2001, 1:215-228.
  • [16]Essink-Bot ML, Krabbe PF, Bonsel GJ, Aaronson NK: An empirical comparison of four generic health status measures. The Nottingham Health Profile, the Medical Outcomes Study 36-item Short-Form Health Survey, the COOP/WONCA charts, and the EuroQol instrument. Med Care 1997, 35:522-537.
  • [17]Feeny D, Furlong W, Boyle M, Torrance GW: Multi-attribute health status classification systems. Health Utilities Index. Pharmacoeconomics 1995, 7:490-502.
  • [18]Rabin R, de Charro F: EQ-5D: a measure of health status from the EuroQol Group. Ann Med 2001, 33:337-343.
  • [19]Stouthard MEA, Essink-Bot ML, Bonsel GJ, Barendregt JJ, Kramers PGN, Van de Water HPA, Gunning-Schepers LJ, Van der Maas PJ: Disability Weights for Diseases in the Netherlands. Department of Public Health, Erasmus University Rotterdam, Rotterdam; 1997.
  • [20]Haagsma JA, van Beeck EF, Polinder S, Hoeymans N, Mulder S, Bonsel GJ: Novel empirical disability weights to assess the burden of non-fatal injury. Inj Prev 2008, 14:5-10.
  • [21]Johannesson M, Jonsson B, Karlsson G: Outcome measurement in economic evaluation. Health Econ 1996, 5:279-296.
  • [22]Tsuchiya A, Dolan P: The QALY model and individual preferences for health states and health profiles over time: a systematic review of the literature. Med Decis Making 2005, 25:460-467.
  • [23]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, 18:657-665.
  • [24]Brazier J, Ratcliffe J, Salomon JA, Tsuchiya A: Measuring and Valuing Health Benefits for Economic Evaluation. Oxford University Press, Oxford; 2007.
  • [25]Murray CJL, 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. Harvard University Press, Cambridge; 1996.
  • [26]Ustun TB, Rehm J, Chatterji S, Saxena S, Trotter R, Room R, Bickenbach J: Multiple-informant ranking of the disabling effects of different health conditions in 14 countries. WHO/NIH Joint Project CAR Study Group. Lancet 1999, 354:111-115.
  • [27]Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, Begum N, Shah R, Karyana M, Kosen S, Farje MR, Moncada G, Dutta A, Sazawal S, Dyer A, Seiler J, Aboyans V, Baker L, Baxter A, Benjamin EJ, Bhalla K, Bin Abdulhak A, Blyth F, Bourne R, Braithwaite T, Brooks P, Brugha TS, Bryan-Hancock C, Buchbinder R, Burney P, 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, 380:2129-2143.
  • [28]Hong KS, Saver JL: Quantifying the value of stroke disability outcomes: WHO global burden of disease project disability weights for each level of the modified Rankin Scale. Stroke 2009, 40:3828-3833.
  • [29]Havelaar AH, de Wit MA, van Koningsveld R, van Kempen E: Health burden in the Netherlands due to infection with thermophilic Campylobacter spp. Epidemiol Infect 2000, 125:505-522.
  • [30]Jelsma J, Chivaura VG, Mhundwa K, De Weerdt W, de Cock P: The global burden of disease disability weights. Lancet 2000, 355:2079-2080.
  • [31]Mathers CD, Vos ET, Stevenson CE, Begg SJ: The Australian Burden of Disease Study: measuring the loss of health from diseases, injuries and risk factors. Med J Aust 2000, 172:592-596.
  • [32]Baltussen RM, Sanon M, Sommerfeld J, Wurthwein R: Obtaining disability weights in rural Burkina Faso using a culturally adapted visual analogue scale. Health Econ 2002, 11:155-163.
  • [33]Schwarzinger M, Stouthard ME, Burstrom K, Nord E: Cross-national agreement on disability weights: the European Disability Weights Project. Popul Health Metr 2003, 1:9. BioMed Central Full Text
  • [34]Brennan DS, Spencer AJ: Disability weights for the burden of oral disease in South Australia. Popul Health Metr 2004, 2:7. BioMed Central Full Text
  • [35]Kruijshaar ME, Hoeymans N, Spijker J, Stouthard ME, Essink-Bot ML: Has the burden of depression been overestimated? Bull World Health Organ 2005, 83:443-448.
  • [36]Brennan DS, Spencer AJ, Roberts-Thomson KF: Quality of life and disability weights associated with periodontal disease. J Dent Res 2007, 86:713-717.
  • [37]Yoon SJ, Bae SC, Lee SI, Chang H, Jo HS, Sung JH, Park JH, Lee JY, Shin Y: Measuring the burden of disease in Korea. J Korean Med Sci 2007, 22:518-523.
  • [38]Basiri A, Mousavi SM, Naghavi M, Araghi IA, Namini SA: Urologic diseases in the Islamic Republic of Iran: what are the public health priorities? East Mediterr Health J 2008, 14:1338-1348.
  • [39]Haagsma JA, Havelaar AH, Janssen BM, Bonsel GJ: Disability Adjusted Life Years and minimal disease: application of a preference-based relevance criterion to rank enteric pathogens. Popul Health Metr 2008, 6:7. BioMed Central Full Text
  • [40]Lai T, Habicht J, Kiivet RA: Measuring burden of disease in Estonia to support public health policy. Eur J Public Health 2009, 19:541-547.
  • [41]Kwong JC, Crowcroft NS, Campitelli MA, Ratnasingham S, Daneman N, Deeks SL, Manuel DG: Ontario Burden of Infectious Disease Study. Ontario Agency for Health Protection and Promotion and the Institute for Clinical Evaluative Sciences, Toronto; 2010.
  • [42]Lyons RA, Kendrick D, Towner EM, Christie N, Macey S, Coupland C, Gabbe BJ: Measuring the population burden of injuries-implications for global and national estimates: a multi-centre prospective UK longitudinal study. PLoS Med 2011, 8:e1001140.
  • [43]van Spijker BA, van Straten A, Kerkhof AJ, Hoeymans N, Smit F: Disability weights for suicidal thoughts and non-fatal suicide attempts. J Affect Disord 2011, 134:341-347.
  • [44]Kwong JC, Ratnasingham S, Campitelli MA, Daneman N, Deeks SL, Manuel DG, Allen VG, Bayoumi AM, Fazil A, Fisman DN, Gershon AS, Gournis E, Heathcote EJ, Jamieson FB, Jha P, Khan KM, Majowicz SE, Mazzulli T, McGeer AJ, Muller MP, Raut A, Rea E, Remis RS, Shahin R, Wright AJ, Zagorski B, Crowcroft NS: The impact of infection on population health: results of the Ontario burden of infectious diseases study. PLoS One 2012, 7:e44103.
  • [45]Yoon SJ, Kwon YD, Kim BY: Estimating the disability weight of major cancers in Korea using Delphi method. Korean J Prev Med 2000, 33:409-414.
  • [46]Stouthard ME, 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.
  • [47]Mathers CD, Vos C, Stevenson C: The Burden of Disease and Injury in Australia. AIHW, Canberra; 1999.
  • [48]Diener E, Diener M: Cross-cultural correlates of life satisfaction and self-esteem. J Pers Soc Psychol 1995, 68:653-663.
  • [49]Hampton NZ, Marshall A: Culture, gender, self-efficacy and life satisfaction: a comparison between American and Chinese people with spinal cord injuries. J Rehabil 2000, 66:21-28.
  • [50]Yiu EM, Ho EM, Ma EP, Verdolini Abbott K, Branski R, Richardson K, Li NY: Possible cross-cultural differences in the perception of impact of voice disorders. J Voice 2010, 25:348-353.
  • [51]Badia X, Roset M, Herdman M, Kind P: A comparison of United Kingdom and Spanish general population time trade-off values for EQ-5D health states. Med Decis Making 2001, 21:7-16.
  • [52]Tsuchiya A, Ikeda S, Ikegami N, Nishimura S, Sakai I, Fukuda T, Hamashima C, Hisashige A, Tamura M: Estimating an EQ-5D population value set: the case of Japan. Health Econ 2002, 11:341-353.
  • [53]Patrick DL, Deyo RA: Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989, 27:S217-S232.
  • [54]Tversky A, Kahneman D: The framing of decisions and the psychology of choice. Science 1981, 211:453-458.
  • [55]Kuehberger A: The influence of framing on risky decisions: A meta-analysis. Organ Behav Hum Decis Process 1998, 75:23-55.
  • [56]Anand S, Hanson K: Disability-adjusted life years: a critical review. J Health Econ 1997, 16:685-702.
  • [57]Janssen MF, Birnie E, Bonsel G: Feasibility and reliability of the annual profile method for deriving QALYs for short-term health conditions. Med Decis Making 2008, 28:500-510.
  • [58]Vos T: The case against annual profiles for the valuation of disability weights. In Summary Measures of Population Health: Concepts, Ethics, Measurement and Application. Edited by Murray CJL, Salomon JA, Mathers CD, Lopez AD. World Health Organization, Geneva; 2002.
  • [59]Read JL, Quinn RJ, Berwick DM, Fineberg HV, Weinstein MC: Preferences for health outcomes. Comparison of assessment methods. Med Decis Making 1984, 4:315-329.
  • [60]Nord E: The validity of a visual analogue scale in determining social utility weights for health states. Int J Health Plann Manage 1991, 6:234-242.
  • [61]Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, Aboyans V, Abraham J, Ackerman I, Aggarwal R, Ahn SY, Ali MK, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Bahalim AN, Barker-Collo S, Barrero LH, Bartels DH, Basáñez MG, Baxter A, Bell ML, Benjamin EJ, 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 2013, 380:2197-2223.
  文献评价指标  
  下载次数:24次 浏览次数:32次