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Quality of Life Research

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01-08-2011

Marginal differences in health-related quality of life of diabetic patients with and without macrovascular comorbid conditions in the United States

Auteurs: Alex Z. Fu, Ying Qiu, Larry Radican, Nan Luo

Gepubliceerd in: Quality of Life Research | Uitgave 6/2011

Abstract

Purpose

To examine and quantify, at the US national level, the marginal differences in health-related quality of life (HRQoL) of diabetic patients with and without macrovascular comorbid conditions (MaVCC).

Methods

Using the pooled Medical Expenditure Panel Survey (MEPS) 2001 and 2003 data, a nationally representative community-dwelling adult sample (age ≥ 18) was included in the study. HRQoL measures included the preference-based EQ-5D index, Euroqol visual analogue scale (EQ-VAS), SF-12 physical component summary (PCS), and SF-12 mental component summary (MCS). Given the censored distribution of the data, a two-part model was used to identify the relationship between MaVCC and the EQ-5D index after controlling for age, sex, race, ethnicity, education, income, employment status, health insurance, smoking status, diabetes severity, and comorbidities. Censored least absolute deviation and ordinary least square models were employed to analyze EQ-VAS and SF-12 PCS/MCS, respectively.

Results

Compared to diabetic patients without MaVCC (N = 2431), those with MaVCC (N = 747) had significantly lower EQ-5D index (−0.062), EQ-VAS (−9.2), SF-12 PCS (−5.0), and MCS (−2.1) after controlling for differences in sociodemographics, smoking status, diabetes severity, and comorbidities (all P < 0.001).

Conclusions

MaVCC is consistently associated with lower HRQoL for patients with diabetes in the United States. Results of this study are valuable for future comparative-effectiveness and cost-effectiveness analyses in diabetes.

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American Diabetes Association. (2009). Diabetes statistics. Available from http://www.diabetes.org/diabetes-basics/diabetes-statistics/. Accessed December 23, 2009.

American Diabetes Association. (2008). Economic costs of diabetes in the US in 2007. Diabetes Care, 31, 596–615.CrossRef

Saydah, S. H., Fradkin, J., & Cowie, C. C. (2004). Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes. JAMA, 291, 335–342.PubMedCrossRef

Centers for Disease Control and Prevention. (2004). Prevalence and incidence. 1999 Diabetes Surveillance Report. Atlanta, GA: U.S. Department of Health and Human Services.

Haffner, S. M., Lehto, S., Ronnemaa, T., Pyorala, K., & Laakso, M. (1998). Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. New England Journal of Medicine, 339, 229–234.PubMedCrossRef

Saydah, S. H., Miret, M., Sung, J., Varas, C., Gause, D., & Brancati, F. L. (2001). Postchallenge hyperglycemia and mortality in a national sample of U.S. adults. Diabetes Care, 24, 1397–1402.PubMedCrossRef

Testa, M. A., & Simonson, D. C. (1996). Assessment of quality-of-life outcomes. New England Journal of Medicine, 334, 835–840.PubMedCrossRef

U. S. Department of Health and Human Services. (2000). Healthy people 2010 (2nd ed.). Washington, DC: U.S. Government Printing Office.

Brown, D. W., Balluz, L. S., Giles, W. H., et al. (2004). Diabetes mellitus and health-related quality of life among older adults. Findings from the behavioral risk factor surveillance system (BRFSS). Diabetes Research and Clinical Practice, 65, 105–115.PubMedCrossRef

10.

Sullivan, P. W., Lawrence, W. F., & Ghushchyan, V. (2005). A national catalog of preference-based scores for chronic conditions in the United States. Medical Care, 43, 736–749.PubMedCrossRef

11.

Manuel, D. G., & Schultz, S. E. (2004). Health-related quality of life and health-adjusted life expectancy of people with diabetes in Ontario, Canada, 1996–1997. Diabetes Care, 27, 407–414.PubMedCrossRef

12.

UK Prospective Diabetes Study Group. (1999). Quality of life in type 2 diabetic patients is affected by complications but not by intensive policies to improve blood glucose or blood pressure control (UKPDS 37). Diabetes Care, 22, 1125–1136.CrossRef

13.

Clarke, P., Gray, A., & Holman, R. (2002). Estimating utility values for health states of type 2 diabetic patients using the EQ-5D (UKPDS 62). Medical Decision Making, 22, 340–349.PubMed

14.

Maddigan, S. L., Feeny, D. H., Majumdar, S. R., Farris, K. B., & Johnson, J. A. (2006). Understanding the determinants of health for people with type 2 diabetes. American Journal of Public Health, 96, 1649–1655.PubMedCrossRef

15.

Redekop, W. K., Koopmanschap, M. A., Stolk, R. P., Rutten, G. E., Wolffenbuttel, B. H., & Niessen, L. W. (2002). Health-related quality of life and treatment satisfaction in Dutch patients with type 2 diabetes. Diabetes Care, 25, 458–463.PubMedCrossRef

16.

Coffey, J. T., Brandle, M., Zhou, H., et al. (2002). Valuing health related quality of life in diabetes. Diabetes Care, 25, 2238–2243.PubMedCrossRef

17.

Brown, G. C., Brown, M. M., Sharma, S., Brown, H., Gozum, M., & Denton, P. (2000). Quality of life associated with diabetes mellitus in an adult population. Journal of Diabetes and Its Complications, 14, 18–24.PubMedCrossRef

18.

Wexler, D. J., Grant, R. W., Wittenberg, E., et al. (2006). Correlates of health-related quality of life in type 2 diabetes. Diabetologia, 49, 1489–1497.PubMedCrossRef

19.

Fu, A. Z. (2009). EuroQol (EQ-5D). In M. W. Kattan (Ed.), Encyclopedia of medical decision making (pp. 455–457). Thousand Oaks, CA: Sage Publications.

20.

Berger, M. L., Bingefors, K., Hedblom, E. C., Pashos, C. L., & Torrance, G. W. (2003). Health care cost, quality, and outcomes: ISPOR book of terms. Lawrenceville, NJ: International Society for Pharmoeconomics and Outcomes Research.

21.

Weights and response rates for the self-administered questionnaire. (2005). MEPS HC-079: 2003 full year consolidated data file (pp. c123–c124). Rockville, MD: Agency for Healthcare Research and Quality.

22.

Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–220.PubMedCrossRef

23.

Ware, J. E., Jr., Kosinski, M., Turner-Bowker, D. M., & Gandek, B. (2002). How to score version 2 of the SF-12 (r) health survey. Lincoln, RI: Quality Metric, Inc.

24.

Elixhauser, A., Steiner, C. A., & Whittington, C. A. (2000). Clinical classifications for health policy research: Hospital inpatient statistics, 1995. Healthcare cost and utilization project, HCUP-3 research note. Rockville, MD: Agency for Healthcare Research and Quality.

25.

Comorbidity Software Version 3.4. (2009). Available from http://www.hcup-us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp. Accessed February 28, 2009.

26.

Fu, A. Z., & Kattan, M. W. (2006). Racial and ethnic differences in preference-based health status measure. Current Medical Research and Opinion, 22, 2439–2448.PubMedCrossRef

27.

Li, L., & Fu, A. Z. (2009). Some methodological issues with the analysis of preference-based EQ-5D index score. Health Services and Outcomes Research Methodology, 9, 162–176.CrossRef

28.

Sullivan, P. W., Ghushchyan, V. H., & Ben-Joseph, R. (2008). The impact of obesity on diabetes, hyperlipidemia and hypertension in the United States. Quality of Life Research, 17, 1063–1071.PubMedCrossRef

29.

Fu, A. Z., Qiu, Y., Radican, L., & Wells, B. J. (2009). Health care and productivity costs associated with diabetic patients with macrovascular comorbid conditions. Diabetes Care, 32, 2187–2192.PubMedCrossRef

30.

Pischke, C. R., Weidner, G., Elliott-Eller, M., et al. (2006). Comparison of coronary risk factors and quality of life in coronary artery disease patients with versus without diabetes mellitus. American Journal of Cardiology, 97, 1267–1273.PubMedCrossRef

31.

Luo, N., Johnson, J. A., & Coons, S. J. (2010). Using instrument-defined health state transitions to estimate minimally important differences for four preference-based health-related quality of life instruments. Medical Care, 48, 365–371.PubMedCrossRef

32.

Farivar, S. S., Cunningham, W. E., & Hays, R. D. (2007). Correlated physical and mental health summary scores for the SF-36 and SF-12 health survey, V.1. Health and Quality of Life Outcomes, 5, 54.PubMedCrossRef

33.

Centers for Disease Control and Prevention. (2002). National diabetes fact sheet: General information and national estimates on diabetes in the U.S., 2000. Atlanta: Department of Health and Human Services, Centers for Disease Control and Prevention.

Titel: Marginal differences in health-related quality of life of diabetic patients with and without macrovascular comorbid conditions in the United States
Auteurs: Alex Z. Fu
Ying Qiu
Larry Radican
Nan Luo
Publicatiedatum: 01-08-2011
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 6/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-010-9819-x

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Abstract

Purpose

Methods

Results

Conclusions

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