Approaches to derive disability weights based on EQ-5D measurement: a systematic review_Chinese Journal of Evidence-Based Medicine

Authors：

ZHU Juan ^# , YAN Xinxin ^# , DAI Min , CHEN Wanqing ,  SHI Jufang

Office for Cancer Screening, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R.China;

Corresponding?author：

SHI Jufang, Email: shijf@cicams.ac.cn

Keywords：

EQ-5D; Utility; Disability weight; Burden of disease; Systematic review

DOI：

10.7507/1672-2531.201912006

Video：

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Objectives To systematically review approaches to derive disability weights (DWs) based on EQ-5D instrument.Methods PubMed, EMbase, Web of Science, CNKI and WanFang Data databases were electronically searched to collect studies on the approaches to derive disability weights based on EQ-5D from inception to June 1^st, 2019. Two reviewers independently screened literature, extracted the basic information and evaluated risk of bias of included studies. Then, systematic review on approaches to derive DWs based on EQ-5D instrument was performed.Results A total of 18 studies were included, which were published between 2003 and 2018. The included studies involved a variety of diseases, mostly focusing on quality of life and the burden of disease. The approaches to derive DWs based on EQ-5D health instrument were as follows: DWs=health utility score_{Normal or Control}?health utility score_Disease (7 studies), DWs=1?VAS score/100 (6 studies), DWs=1?health utility score_Disease (3 studies), linear regression model (1 study), and mapping (1 study).Conclusions Among all the included studies using EQ-5D-based disability weight measurement methods involves a variety of diseases, with relatively low comparability. More methodological studies are from abroad. Among all the applied approaches, DWs equally to health utility score_{Normal or Control} minus health utility score_Disease is the most commonly used.

Citation： ZHU Juan, YAN Xinxin, DAI Min, CHEN Wanqing, SHI Jufang. Approaches to derive disability weights based on EQ-5D measurement: a systematic review. Chinese Journal of Evidence-Based Medicine, 2020, 20(7): 782-788. doi: 10.7507/1672-2531.201912006 Copy

1.	Murray CJL, Lopez AD. Global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected (global burden of disease and injury series). Cambridge: Harvard University Press, 1996.
2.	GBD 2017 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2018, 392(10159): 1859-1922.
3.	Haagsma JA, Polinder S, Cassini A, et al. Review of disability weight studies: comparison of methodological choices and values. Popul Health Metr, 2014, 12: 20.
4.	Essink-Bot ML, Bonsel GJ. How to derive disability weights (Chapter 9.1). Murray CL, Saloman JA, Mathers CD, et al. In summary measures of population health. Concepts, ethics, measurement and applications. Geneva: World Health Organization, 2002: 449-465.
5.	Haagsma JA, van Beeck EF, Polinder S, et al. Novel empirical disability weights to assess the burden of non-fatal injury. Inj Prev, 2008, 14(1): 5-10.
6.	van Spijker BA, van Straten A, Kerkhof AJ, et al. Disability weights for suicidal thoughts and non-fatal suicide attempts. J Affect Disord, 2011, 134(1-3): 341-347.
7.	Ock M, Lee JY, Oh IH, et al. 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.
8.	Haagsma JA, Polinder S, van Beeck EF, et al. Alternative approaches to derive disability weights in injuries: do they make a difference? Qual Life Res, 2009, 18(5): 657-665.
9.	Euro Qol Research Foundation. EQ-5D instruments. Available at: https://euroqol.org/eq-5d-instruments.
10.	Rostom A, Dubé C, Cranney A. Celiac disease. Evidence reports/technology assessments. Quality Assessment Forms, 2004. Available at: http://www.ncbi.nlm.nih.gov/books/NBK35156.
11.	Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol, 2010, 25(9): 603-605.
12.	Vermaire JH, van Houtem CM, Ross JN, et al. The burden of disease of dental anxiety: generic and disease-specific quality of life in patients with and without extreme levels of dental anxiety. Eur J Oral Sci, 2016, 124(5): 454-458.
13.	van den Wijngaard CC, Hofhuis A, Harms MG, et al. The burden of Lyme borreliosis expressed in disability-adjusted life years. Eur J Public Health, 2015, 25(6): 1071-1078.
14.	Tromme I, Devleesschauwer B, Beutels P, et al. Health-related quality of life in patients with melanoma expressed as utilities and disability weights. Br J Dermatol, 2014, 171(6): 1443-1450.
15.	Haagsma JA, van Beeck EF, Polinder S, et al. The effect of comorbidity on health-related quality of life for injury patients in the first year following injury: comparison of three comorbidity adjustment approaches. Popul Health Metr, 2011, 9: 10.
16.	Gabbe BJ, Lyons RA, Simpson PM, et al. Disability weights based on patient-reported data from a multinational injury cohort. Bull World Health Organ, 2016, 94(11): 806-816.
17.	Griffin XL, Parsons N, Achten J, et al. Recovery of health-related quality of life in a United Kingdom hip fracture population. The Warwick Hip Trauma Evaluation--a prospective cohort study. Bone Joint J, 2015, 97-B(3): 372-382.
18.	Schwarzinger M, Stouthard ME, Burstr?m K, et al. Cross-national agreement on disability weights: the European Disability Weights Project. Popul Health Metr, 2003, 1(1): 9.
19.	Jia TW, Utzinger J, Deng Y, et al. Quantifying quality of life and disability of patients with advanced schistosomiasis japonica. PLoS Negl Trop Dis, 2011, 5(2): e966.
20.	Jia TW, Zhou XN, Wang XH, et al. Assessment of the age-specific disability weight of chronic schistosomiasis japonica. Bull World Health Organ, 2007, 85(6): 458-465.
21.	周尚成, 田苗, 陳霞平, 等. 糖尿病患者社會經濟地位與失能權重相關性研究. 衛生經濟研究, 2018, 378(10): 23-26.
22.	田苗, 陳霞平, 李莉, 等. 湖北省十堰地區糖尿病失能權重的初步探討. 現代預防醫學, 2017, 44(24): 4469-4473.
23.	臧煒, 陳穎丹, 劉宏坤. 云南大理 1 起旋毛蟲病暴發事件疾病負擔的回顧調查. 預防醫學情報雜志, 2014, 30(6): 421-425.
24.	Wang Z, Chen Z, Wang X, et al. The disease burden of atrial fibrillation in China from a national cross-sectional survey. Am J Cardiol, 2018, 122(5): 793-798.
25.	Siddiqi AE, Ebrahim SH, Soucie JM, et al. Burden of disease resulting from hemophilia in the U. S. Am J Prev Med, 2010, 38(4 Suppl): S482-S488.
26.	Park JI, Jung HH. Estimation of years lived with disability due to noncommunicable diseases and injuries using a population-representative survey. PLoS One, 2017, 12(2): e0172001.
27.	Maertens de Noordhout C, Devleesschauwer B, Gielens L, et al. Mapping EQ-5D utilities to GBD 2010 and GBD 2013 disability weights: results of two pilot studies in Belgium. Arch Public Health, 2017, 75: 6.
28.	Wongphan T, Bundhamcharoen K. The burden of life of patients with the top 5 diseases and the way to reflect the burden of disease in Thailand: A country-wide multicentre EQ-5D measurement, 2010. Value Health, 2011, 14: A233-A510.
29.	唐曉, 喬友林, 李國榮, 等. DALY 計算中權重值確定的方法研究. 中國衛生統計, 2010, 27(2): 216-217.
30.	程萱, 雷海潮. 疾病負擔的失能權重研究: 基于病傷費用比較的新方法. 中國衛生經濟, 2018, 37(6): 40-44.
31.	朱娟, 王樂, 何世嬌, 等. 中國乳腺癌健康效用值研究的系統評價. 中國循證醫學雜志, 2017, 17(9): 1066-1071.
32.	黃慧瑤, 楊駿, 石菊芳, 等. 中國結直腸癌患者生活質量研究系統評價. 中國慢性病預防與控制, 2017, (8): 73-79.
33.	黃佳文, 朱娟, 黃慧瑤, 等. 中國肝癌及相關疾病狀態健康效用值及失能權重研究的系統評價. 中國循證醫學雜志, 2018, 18(5): 410-417.
34.	Shi JF, Huang HY, Guo LW, et al. Quality-of-life and health utility scores for common cancers in China: a multicentre cross-sectional survey. Lancet, 2016, 388: S29.
35.	Wang L, Shi JF, Zhu J, et al. Health-related quality of life and utility scores of patients with breast neoplasms in China: A multicenter cross-sectional survey. Breast, 2018, 39: 53-62.
36.	Zhu J, Wang L, Huang HY, et al. Short-term impact of breast cancer screening intervention on health-related quality of life in China: A multicentre cross-sectional survey. Psychooncology, 2019, 28(9): 1836-1844.
37.	Liu GG, Wu H, Li M, et al. Chinese time trade-off values for EQ-5D health states. Value Health, 2014, 17(5): 597-604.
38.	Luo N, Liu G, Li M, et al. Estimating an EQ-5D-5L Value Set for China. Value Health, 2017, 20(4): 662-669.
39.	World Bank. World Development Report 1993: Investing in Health. New York: Oxford University Press, 1993.
40.	Murray CJ, Vos T, Lozano R, 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.
41.	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(5): 567-581.
42.	Nord E. Disability weights in the global burden of disease 2010: unclear meaning and over statement of international agreement. Health policy, 2013, 111(1): 99-104.
43.	賈鐵武, 周曉農. 疾病負擔(DALY)的評價與應用. 中國寄生蟲學與寄生蟲病雜志, 2005, 23(5): 304-308.
44.	楊敬, 沈清, 雷通海, 等. 浙江省主要惡性腫瘤失能權重評定. 中國公共衛生, 2007, 23(8): 931-933.

1. Murray CJL, Lopez AD. Global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected (global burden of disease and injury series). Cambridge: Harvard University Press, 1996.
2. GBD 2017 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2018, 392(10159): 1859-1922.
3. Haagsma JA, Polinder S, Cassini A, et al. Review of disability weight studies: comparison of methodological choices and values. Popul Health Metr, 2014, 12: 20.
4. Essink-Bot ML, Bonsel GJ. How to derive disability weights (Chapter 9.1). Murray CL, Saloman JA, Mathers CD, et al. In summary measures of population health. Concepts, ethics, measurement and applications. Geneva: World Health Organization, 2002: 449-465.
5. Haagsma JA, van Beeck EF, Polinder S, et al. Novel empirical disability weights to assess the burden of non-fatal injury. Inj Prev, 2008, 14(1): 5-10.
6. van Spijker BA, van Straten A, Kerkhof AJ, et al. Disability weights for suicidal thoughts and non-fatal suicide attempts. J Affect Disord, 2011, 134(1-3): 341-347.
7. Ock M, Lee JY, Oh IH, et al. 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.
8. Haagsma JA, Polinder S, van Beeck EF, et al. Alternative approaches to derive disability weights in injuries: do they make a difference? Qual Life Res, 2009, 18(5): 657-665.
9. Euro Qol Research Foundation. EQ-5D instruments. Available at: https://euroqol.org/eq-5d-instruments.
10. Rostom A, Dubé C, Cranney A. Celiac disease. Evidence reports/technology assessments. Quality Assessment Forms, 2004. Available at: http://www.ncbi.nlm.nih.gov/books/NBK35156.
11. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol, 2010, 25(9): 603-605.
12. Vermaire JH, van Houtem CM, Ross JN, et al. The burden of disease of dental anxiety: generic and disease-specific quality of life in patients with and without extreme levels of dental anxiety. Eur J Oral Sci, 2016, 124(5): 454-458.
13. van den Wijngaard CC, Hofhuis A, Harms MG, et al. The burden of Lyme borreliosis expressed in disability-adjusted life years. Eur J Public Health, 2015, 25(6): 1071-1078.
14. Tromme I, Devleesschauwer B, Beutels P, et al. Health-related quality of life in patients with melanoma expressed as utilities and disability weights. Br J Dermatol, 2014, 171(6): 1443-1450.
15. Haagsma JA, van Beeck EF, Polinder S, et al. The effect of comorbidity on health-related quality of life for injury patients in the first year following injury: comparison of three comorbidity adjustment approaches. Popul Health Metr, 2011, 9: 10.
16. Gabbe BJ, Lyons RA, Simpson PM, et al. Disability weights based on patient-reported data from a multinational injury cohort. Bull World Health Organ, 2016, 94(11): 806-816.
17. Griffin XL, Parsons N, Achten J, et al. Recovery of health-related quality of life in a United Kingdom hip fracture population. The Warwick Hip Trauma Evaluation--a prospective cohort study. Bone Joint J, 2015, 97-B(3): 372-382.
18. Schwarzinger M, Stouthard ME, Burstr?m K, et al. Cross-national agreement on disability weights: the European Disability Weights Project. Popul Health Metr, 2003, 1(1): 9.
19. Jia TW, Utzinger J, Deng Y, et al. Quantifying quality of life and disability of patients with advanced schistosomiasis japonica. PLoS Negl Trop Dis, 2011, 5(2): e966.
20. Jia TW, Zhou XN, Wang XH, et al. Assessment of the age-specific disability weight of chronic schistosomiasis japonica. Bull World Health Organ, 2007, 85(6): 458-465.
21. 周尚成, 田苗, 陳霞平, 等. 糖尿病患者社會經濟地位與失能權重相關性研究. 衛生經濟研究, 2018, 378(10): 23-26.
22. 田苗, 陳霞平, 李莉, 等. 湖北省十堰地區糖尿病失能權重的初步探討. 現代預防醫學, 2017, 44(24): 4469-4473.
23. 臧煒, 陳穎丹, 劉宏坤. 云南大理 1 起旋毛蟲病暴發事件疾病負擔的回顧調查. 預防醫學情報雜志, 2014, 30(6): 421-425.
24. Wang Z, Chen Z, Wang X, et al. The disease burden of atrial fibrillation in China from a national cross-sectional survey. Am J Cardiol, 2018, 122(5): 793-798.
25. Siddiqi AE, Ebrahim SH, Soucie JM, et al. Burden of disease resulting from hemophilia in the U. S. Am J Prev Med, 2010, 38(4 Suppl): S482-S488.
26. Park JI, Jung HH. Estimation of years lived with disability due to noncommunicable diseases and injuries using a population-representative survey. PLoS One, 2017, 12(2): e0172001.
27. Maertens de Noordhout C, Devleesschauwer B, Gielens L, et al. Mapping EQ-5D utilities to GBD 2010 and GBD 2013 disability weights: results of two pilot studies in Belgium. Arch Public Health, 2017, 75: 6.
28. Wongphan T, Bundhamcharoen K. The burden of life of patients with the top 5 diseases and the way to reflect the burden of disease in Thailand: A country-wide multicentre EQ-5D measurement, 2010. Value Health, 2011, 14: A233-A510.
29. 唐曉, 喬友林, 李國榮, 等. DALY 計算中權重值確定的方法研究. 中國衛生統計, 2010, 27(2): 216-217.
30. 程萱, 雷海潮. 疾病負擔的失能權重研究: 基于病傷費用比較的新方法. 中國衛生經濟, 2018, 37(6): 40-44.
31. 朱娟, 王樂, 何世嬌, 等. 中國乳腺癌健康效用值研究的系統評價. 中國循證醫學雜志, 2017, 17(9): 1066-1071.
32. 黃慧瑤, 楊駿, 石菊芳, 等. 中國結直腸癌患者生活質量研究系統評價. 中國慢性病預防與控制, 2017, (8): 73-79.
33. 黃佳文, 朱娟, 黃慧瑤, 等. 中國肝癌及相關疾病狀態健康效用值及失能權重研究的系統評價. 中國循證醫學雜志, 2018, 18(5): 410-417.
34. Shi JF, Huang HY, Guo LW, et al. Quality-of-life and health utility scores for common cancers in China: a multicentre cross-sectional survey. Lancet, 2016, 388: S29.
35. Wang L, Shi JF, Zhu J, et al. Health-related quality of life and utility scores of patients with breast neoplasms in China: A multicenter cross-sectional survey. Breast, 2018, 39: 53-62.
36. Zhu J, Wang L, Huang HY, et al. Short-term impact of breast cancer screening intervention on health-related quality of life in China: A multicentre cross-sectional survey. Psychooncology, 2019, 28(9): 1836-1844.
37. Liu GG, Wu H, Li M, et al. Chinese time trade-off values for EQ-5D health states. Value Health, 2014, 17(5): 597-604.
38. Luo N, Liu G, Li M, et al. Estimating an EQ-5D-5L Value Set for China. Value Health, 2017, 20(4): 662-669.
39. World Bank. World Development Report 1993: Investing in Health. New York: Oxford University Press, 1993.
40. Murray CJ, Vos T, Lozano R, 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.
41. 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(5): 567-581.
42. Nord E. Disability weights in the global burden of disease 2010: unclear meaning and over statement of international agreement. Health policy, 2013, 111(1): 99-104.
43. 賈鐵武, 周曉農. 疾病負擔(DALY)的評價與應用. 中國寄生蟲學與寄生蟲病雜志, 2005, 23(5): 304-308.
44. 楊敬, 沈清, 雷通海, 等. 浙江省主要惡性腫瘤失能權重評定. 中國公共衛生, 2007, 23(8): 931-933.

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