Disability weights for the Global Burden of Disease 2013 study

被引:895
作者
Salomon, Joshua A. [1 ]
Haagsma, Juanita A. [2 ,3 ]
Davis, Adrian [4 ]
de Noordhout, Charline Maertens [5 ]
Polinder, Suzanne [2 ]
Havelaar, Arie H. [6 ,7 ]
Cassini, Alessandro [8 ]
Devleesschauwer, Brecht [5 ,9 ]
Kretzschmar, Mirjam [10 ,11 ]
Speybroeck, Niko [5 ]
Murray, Christopher J. L. [3 ]
Vos, Theo [3 ]
机构
[1] Harvard Univ, Dept Global Hlth & Populat, TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[2] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[3] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[4] Publ Hlth England, London, England
[5] Catholic Univ Louvain, Inst Hlth & Soc, Louvain, Belgium
[6] Univ Florida, Emerging Pathogens Inst, Gainesville, FL USA
[7] Univ Utrecht, Inst Risk Assessment Sci, Utrecht, Netherlands
[8] European Ctr Dis Prevent & Control, Stockholm, Sweden
[9] Univ Ghent, Dept Virol Parasitol & Immunol, Fac Vet Med, Merelbeke, Belgium
[10] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[11] Natl Inst Publ Hlth & Environm, Ctr Infect Dis Control, NL-3720 BA Bilthoven, Netherlands
关键词
LIFE YEARS DALYS; SYSTEMATIC ANALYSIS; MEASURING HEALTH; INJURIES;
D O I
10.1016/S2214-109X(15)00069-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
100235 [预防医学];
摘要
Background The Global Burden of Disease (GBD) study assesses health losses from diseases, injuries, and risk factors using disability-adjusted life-years, which need a set of disability weights to quantify health levels associated with non-fatal outcomes. The objective of this study was to estimate disability weights for the GBD 2013 study. Methods We analysed data from new web-based surveys of participants aged 18-65 years, completed in four European countries (Hungary, Italy, the Netherlands, and Sweden) between Sept 23, 2013, and Nov 11, 2013, combined with data previously collected in the GBD 2010 disability weights measurement study. Surveys used paired comparison questions for which respondents considered two hypothetical individuals with different health states and specified which person they deemed healthier than the other. These surveys covered 183 health states pertinent to GBD 2013; of these states, 30 were presented with descriptions revised from previous versions and 18 were new to GBD 2013. We analysed paired comparison data using probit regression analysis and rescaled results to disability weight units between 0 (no loss of health) and 1 (loss equivalent to death). We compared results with previous estimates, and an additional analysis examined sensitivity of paired comparison responses to duration of hypothetical health states. Findings The total analysis sample consisted of 30 230 respondents from the GBD 2010 surveys and 30 660 from the new European surveys. For health states common to GBD 2010 and GBD 2013, results were highly correlated overall (Pearson's(R) 0.992 [95% uncertainty interval 0.989-0.994]). For health state descriptions that were revised for this study, resulting disability weights were substantially different for a subset of these weights, including those related to hearing loss (eg, complete hearing loss: GBD 2010 0.033 [0.020-0.052]; GBD 2013 0.215 [0.144-0.307]) and treated spinal cord lesions (below the neck: GBD 2010 0.047 [0.028-0.072]; GBD 2013 0.296 [0.198-0.414]; neck level: GBD 2010 0.369 [0.243-0.513]; GBD 2013 0.589 [0.415-0.748]). Survey responses to paired comparison questions were insensitive to whether the comparisons were framed in terms of temporary or chronic outcomes (Pearson's(R) 0.981 [0.973-0.987]). Interpretation This study substantially expands the empirical basis for assessment of non-fatal outcomes in the GBD study. Findings from this study substantiate the notion that disability weights are sensitive to particular details in descriptions of health states, but robust to duration of outcomes. Copyright (C) Salomon et al. Open Access article distributed under the terms of CC BY-NC-ND.
引用
收藏
页码:E712 / E723
页数:12
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