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Quality of Life Research

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Open Access 01-08-2009

Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample

Authors: Dennis A. Revicki, Ariane K. Kawata, Neesha Harnam, Wen-Hung Chen, Ron D. Hays, David Cella

Published in: Quality of Life Research | Issue 6/2009

Abstract

Background

Preference-based health index scores provide a single summary score assessing overall health-related quality of life and are useful as an outcome measure in clinical studies, for estimating quality-adjusted life years for economic evaluations, and for monitoring the health of populations. We predicted EuroQoL (EQ-5D) index scores from patient-reported outcomes measurement information system (PROMIS) global items and domain item banks.

Methods

This was a secondary analysis of health outcome data collected in an internet survey as part of the PROMIS Wave 1 field testing. For this study, we included the 10 global items and the physical function, fatigue, pain impact, anxiety, and depression item banks. Linear regression analyses were used to predict EQ-5D index scores based on the global items and selected domain banks.

Results

The regression models using eight of the PROMIS global items (quality of life, physical activities, mental health, emotional problems, social activities, pain, and fatigue and either general health or physical health items) explained 65% of the variance in the EQ-5D. When the PROMIS domain scores were included in a regression model, 57% of the variance was explained in EQ-5D scores. Comparisons of predicted to actual EQ-5D scores by age and gender groups showed that they were similar.

Conclusions

EQ-5D preference scores can be predicted accurately from either the PROMIS global items or selected domain banks. Application of the derived regression model allows the estimation of health preference scores from the PROMIS health measures for use in economic evaluations.

Ware, J. E., Jr, & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483. doi:10.1097/00005650-199206000-00002.PubMedCrossRef

Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170. doi:10.1097/MLR.0b013e31814848f1.PubMedCrossRef

Gold, M. R., Patrick, D. L., & Torrance, G. W. (1996). Identifying and valuing outcomes. In M. R. Gold, D. L. Patrick, & G. W. Torrance (Eds.), Cost-effectiveness in health and medicine. New York: Oxford University Press.

Brooks, R., Rabin, R., & de Charro, F. (2003). The measurement and valuation of health status using EQ-5D: A European perspective. Dordrecht, The Netherlands: Kluwer Academic Publishers.

Feeny, D., Torrance, G., & Furlong, W. (1996). Health utilities index. In D. Feeny, G. Torrance, & W. Furlong (Eds.), Quality of life and pharmacoeconomics in clinical trials. Philadelphia, PA: Lippincott-Raven Press.

Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128. doi:10.1097/00005650-200202000-00006.PubMedCrossRef

Andresen, E. M., Rothenberg, B. M., & Kaplan, R. M. (1998). Performance of a self-administered mailed version of the quality of well-being (QWB-SA) questionnaire among older adults. Medical Care, 36(9), 1349–1360. doi:10.1097/00005650-199809000-00007.PubMedCrossRef

Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292. doi:10.1016/S0167-6296(01)00130-8.PubMedCrossRef

Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859. doi:10.1097/01.mlr.0000135827.18610.0d.PubMedCrossRef

10.

Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005). Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index. Medical Care, 43(11), 1078–1086. doi:10.1097/01.mlr.0000182493.57090.c1.PubMedCrossRef

11.

Hanmer, J., Hays, R. D., & Fryback, D. G. (2007). Mode of administration is important in US national estimates of health-related quality of life. Medical Care, 45(12), 1171–1179. doi:10.1097/MLR.0b013e3181354828.PubMedCrossRef

12.

Erickson, P. (1998). Evaluation of a population-based measure of quality of life: The health and activity limitation index (HALex). Quality of Life Research, 7(2), 101–114. doi:10.1023/A:1008897107977.PubMedCrossRef

13.

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(3), 203–220. doi:10.1097/00005650-200503000-00003.PubMedCrossRef

14.

Lawrence, W. F., & Fleishman, J. A. (2004). Predicting EuroQoL EQ-5D preference scores from the SF-12 health survey in a nationally representative sample. Medical Decision Making, 24(2), 160–169. doi:10.1177/0272989X04264015.PubMedCrossRef

15.

Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26(4), 401–409. doi:10.1177/0272989X06290496.PubMedCrossRef

16.

Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18–29. doi:10.1177/0272989X05284108.PubMedCrossRef

17.

Nan, L., Johnson, J. A., Shaw, J. W., & Coons, S. J. (2007). A comparison of EQ-5D index scores derived from the US and UK population-based scoring functions. Medical Decision Making, 27(3), 321–326. doi:10.1177/0272989X07300603.CrossRef

18.

Franks, P., Lubetkin, E. I., Gold, M. R., Tancredi, D. J., & Jia, H. (2004). Mapping the SF-12 to the EuroQol EQ-5D index in a national US sample. Medical Decision Making, 24(3), 247–254. doi:10.1177/0272989X04265477.PubMedCrossRef

19.

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5, Suppl 1), S3–S11. doi:10.1097/01.mlr.0000258615.42478.55.PubMedCrossRef

20.

DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007). Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45(5, Suppl 1), S12–S21. doi:10.1097/01.mlr.0000254567.79743.e2.PubMedCrossRef

21.

Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310.PubMed

22.

Revicki, D. A., & Kaplan, R. M. (1993). Relationship between psychometric and utility-based approaches to the measurement of health-related quality of life. Quality of Life Research, 2(6), 477–487. doi:10.1007/BF00422222.PubMedCrossRef

Title: Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample
Authors: Dennis A. Revicki
Ariane K. Kawata
Neesha Harnam
Wen-Hung Chen
Ron D. Hays
David Cella
Publication date: 01-08-2009
Publisher: Springer Netherlands
Published in: Quality of Life Research / Issue 6/2009
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-009-9489-8

At a glance: The STEP trials

Springer Medicine

Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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