The impact of co-morbidity burden on preference-based health-related quality of life in the United States

PharmacoEconomics

Volumn 30, Issue 5, 2012, Pages 431-442

  Sullivan, Patrick W ^a   Ghushchyan, Vahram H ^b   Bayliss, Elizabeth A ^c,d  

^a REGIS UNIVERSITY   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c KAISER PERMANENTE   (United States)

^d UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

Author keywords

Quality of life; Utility measurement

Indexed keywords

ADULT; AGE; ARTICLE; CHRONIC DISEASE; COMORBIDITY; EDUCATION; ETHNICITY; FEMALE; GENDER; HEALTH SURVEY; HUMAN; INCOME; MAJOR CLINICAL STUDY; MALE; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUALITY OF LIFE; SMOKING; UNITED STATES;

ADOLESCENT; ADULT; AGE FACTORS; CHRONIC DISEASE; COMORBIDITY; FEMALE; HEALTH STATUS; HEALTH STATUS INDICATORS; HEALTH SURVEYS; HUMANS; MALE; MIDDLE AGED; QUALITY OF LIFE; UNITED STATES;

EID: 84859805011     PISSN: 11707690     EISSN: 11792027     Source Type: Journal    
DOI: 10.2165/11586840-000000000-00000     Document Type: Article

References (40)

1. Gold MR, Siegel JE, Russell LB, et al., editors. Costeffectiveness in health and medicine. New York: Oxford University Press, 1996
2. Drummond MF. Methods for the economic evaluation of health care programmes. 2nd rev. ed. Oxford: Oxford University Press, 1997
3. van den Akker M, Buntinx F, Roos S, et al. Problems in determining occurrence rates of multimorbidity. J Clin Epidemiol 2001; 54: 675-9
4. Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med 2002; 162: 2269-76
5. Fortin M, Bravo G, Hudon C, et al. Prevalence of multimorbidity among adults seen in family practice. Ann Fam Med 2005; 3: 223-8
6. Kahn LS, Fox CH, Olawaiye A, et al. Facilitating quality improvement in physician management of comorbid chronic disease in an urban minority practice. J Natl Med Assoc 2007; 99: 377-83
7. Fortin M, Bravo G, Hudon C, et al. Relationship between multimorbidity and health-related quality of life of patients in primary care. Qual Life Res 2006; 15: 83-91
8. Gijsen R, Hoeymans N, Schellevis FG, et al. Causes and consequences of comorbidity: a review. J Clin Epidemiol 2001; 54: 661-74
9. Bayliss EA, Bayliss MS, Ware Jr JE, et al. Predicting declines in physical function in persons with multiple chronicmedical conditions: what we can learn from the medical problem list. Health Qual Life Outcomes 2004; 2: 47
10. Noel PH, Williams Jr JW, Unutzer J, et al. Depression and comorbid illness in elderly primary care patients: impact on multiple domains of health status and well-being. Ann Fam Med 2004; 2: 555-62
11. Center for Financing, Access, and Cost Trends. Medical Expenditure Panel Survey: HC-097 2005 full year consolidated data file. Rockville (MD): AHRQ, 2007 [online]. Available from URL: http://www.meps.ahrq.gov/meps web/data-stats/download-data/pufs/h97/h97doc.shtml [Accessed 2012 Jan 19]
12. Agency for Healthcare Research and Quality. Medical Expenditure Panel Survey [online]. Available from URL: http://www.meps.ahrq.gov [Accessed 2012 Jan 19]
13. Elixhauser A. Clinical classifications for health policy research, version 2: software and user's guide [publication no. 96-0046]. Rockville (MD): AHRQ, 1996
14. Agency for Healthcare Research and Quality. MEPS HC- 078: 2003 medical conditions file. Rockville (MD): AHRQ, 2003 [online]. Available from URL: http://www.meps.ahrq. gov/mepsweb/data-stats/download-data-files-detail.jsp?cbo PufNumber=HC-078 [Accessed 2008 Jul 23]
15. Sullivan PW, Ghushchyan V. Preference-Based EQ-5D index scores for chronic conditions in the United States. Med Decis Making 2006; 26: 410-20
16. Sullivan PW, Lawrence Jr WF, Ghushchyan V. A national catalogue of preference-based scores for chronic conditions in the U.S. Med Care 2005; 43: 736-49
17. Hwang W, Weller W, Ireys H, et al. Out-of-pocket medical spending for care of chronic conditions. Health Aff (Millwood) 2001; 20: 267-78
18. EuroQol Group. EuroQol: a new facility for the measurement of health-related quality of life. Health Policy 1990; 16: 199-208
19. McDowell I, Newell C. Measuring health: a guide to rating scales and questionnaires. 2nd rev. ed. New York: Oxford University Press, 1996
20. EuroQol Group. EQ-5D: a standardised instrument for use as a measure of health outcome [online]. Available from URL: http://www.euroqol.org [Accessed 2008 Jul 23]
21. Shaw JW, Johnson JA, Coons SJ. U.S. valuation of the EQ-5D health states: development and testing of the D1 valuation model. Med Care 2005; 43 (3): 203-20
22. Stata [computer program]. Version 9.2. College Station (TX): StataCorp, 2006
23. Sullivan PW, Ghushchyan V. Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Med Decis Making 2006; 26: 401-9
24. Lubetkin EI, Jia H, Franks P, et al. Relationship among sociodemographic factors, clinical conditions, and healthrelated quality of life: examining the EQ-5D in the U.S. general population. Qual Life Res 2005; 14: 2187-96
25. Ko Y, Coons SJ. Self-reported chronic conditions and EQ-5D index scores in the US adult population. Curr Med Res Opin 2006; 22: 2065-71
26. Fu AZ, Kattan MW. Racial and ethnic differences in preference- based health status measure. Curr Med Res Opin 2006; 22: 2439-48
27. Basu A, Dale W, Elstein A, et al. A linear index for predicting joint health-states utilities from single health-states utilities. Health Econ 2009; 18: 403-19
28. Hanmer J, Vanness D, Gangnon R, et al. Three methods tested to model SF-6D health utilities for health states involving comorbidity/co-occurring conditions. J Clin Epidemiol 2010; 63 (3): 331-41
29. Bo H, Fu AZ. Predicting utility for joint health states: a general framework and a new nonparametric estimator. Med Decis Making 2010; 30 (5): E29-39
30. Schneeweiss S, Wang PS, Avorn J, et al. Consistency of performance ranking of comorbidity adjustment scores in Canadian and U.S. utilization data. J Gen Intern Med 2004; 19: 444-50
31. Schneeweiss S, Seeger JD, Maclure M, et al. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 2001; 154: 854-64
32. Byles JE, D'Este C, Parkinson L, et al. Single index of multimorbidity did not predict multiple outcomes. J Clin Epidemiol 2005; 58: 997-1005
33. Crabtree HL, Gray CS, Hildreth AJ, et al. The comorbidity symptomscale: a combined disease inventory and assessment of symptom severity. J Am Geriatr Soc 2000; 48: 1674-8
34. Fan VS, Au D, Heagerty P, et al. Validation of case-mix measures derived from self-reports of diagnoses and health. J Clin Epidemiol 2002; 55: 371-80
35. Hallstrom AP, Cobb LA, Yu BH. Influence of comorbidity on the outcome of patients treated for out-of-hospital ventricular fibrillation. Circulation 1996; 93: 2019-22
36. Robinson JR, Young TK, Roos LL, et al. Estimating the burden of disease: comparing administrative data and selfreports. Med Care 1997; 35: 932-47
37. Silliman RA, Lash TL. Comparison of interview-based and medical-record based indices of comorbidity among breast cancer patients. Med Care 1999; 37: 339-49
38. Berkanovic E, Telesky C. Mexican-American, black- American and white-American differences in reporting illnesses, disability and physician visits for illnesses. Soc Sci Med 1985; 20: 567-77
39. Stewart AL, Napoles-Springer A. Health-related quality-oflife assessments in diverse population groups in the United States. Med Care 2000; 38 (9 Suppl.): II102-24
40. Johnson TP, O'Rourke D, Chavez N, et al. Cultural variations in the interpretation of health survey questions. In: Warnecke RB, editor. Health survey research methods. Hyattsville (MD): National Center for Health Statistics, 1996: 57-62