Skip to main content
Top
Gepubliceerd in: Quality of Life Research 9/2008

01-11-2008

Deriving utility scores from the SF-36 health instrument using Rasch analysis

Auteurs: Graeme Hawthorne, Konstancja Densley, Julie F. Pallant, Duncan Mortimer, Leonie Segal

Gepubliceerd in: Quality of Life Research | Uitgave 9/2008

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Background

Utility scores for use in cost-utility analysis may be imputed from the SF-36 health instrument using various techniques, typically regression analysis. This paper explored imputation using partial credit Rasch analysis.

Method

Data from the Assessment of Quality of Life (AQoL) instrument validation study were re-analysed (n = 996 inpatients, outpatients and a community sample). For each AQoL item, factor analysis identified those SF-36 items forming a unidimensional scale. Rasch analysis located scale logit scores for these SF-36 items. The logit scores were used to assign AQoL item scores. The standard AQoL scoring algorithm was then applied to obtain the utility scores.

Results

Many SF-36 items were limited predictors of AQoL items; some items from both instruments obtained disordered thresholds. All imputed scores were consistent with the AQoL model and fell within AQoL score boundaries. The explained variance between imputed and true AQoL scores was 61%.

Discussion

Rasch-imputed mapping, unlike many regression-based algorithms, produced results consistent with the axioms of utility measurement, while the proportion of explained variance was similar to regression-based modelling. Item properties on both instruments implied that some items should be revised using Rasch analysis. The methods and results may be used by researchers needing to impute utility scores from SF-36 health scores.
Literatuur
2.
go back to reference Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: manual and interpretation guide. Boston, MA: The Health Institute, New England Medical Center. Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: manual and interpretation guide. Boston, MA: The Health Institute, New England Medical Center.
5.
go back to reference Fryback, D. G., Lawrence, W. F., Martin, P. A., Klein, R., & Klein, B. E. (1997). Predicting Quality of Well-being scores from the SF-36: results from the Beaver Dam Health Outcomes Study. Medical Decision Making, 17, 1–9. doi:10.1177/0272989X9701700101.PubMedCrossRef Fryback, D. G., Lawrence, W. F., Martin, P. A., Klein, R., & Klein, B. E. (1997). Predicting Quality of Well-being scores from the SF-36: results from the Beaver Dam Health Outcomes Study. Medical Decision Making, 17, 1–9. doi:10.​1177/​0272989X97017001​01.PubMedCrossRef
8.
go back to reference Segal, L., Day, S. E., Chapman, A. B., & Osborne, R. H. (2004). Can we reduce disease burden from osteoarthritis? An evidence-based priority setting model. The Medical Journal of Australia, 180, S11–S17.PubMed Segal, L., Day, S. E., Chapman, A. B., & Osborne, R. H. (2004). Can we reduce disease burden from osteoarthritis? An evidence-based priority setting model. The Medical Journal of Australia, 180, S11–S17.PubMed
11.
go back to reference Mortimer, D., & Segal, L. (2008). Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights. Medical Decision Making, 28, 66–89. doi:10.1177/0272989X07309642.PubMedCrossRef Mortimer, D., & Segal, L. (2008). Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights. Medical Decision Making, 28, 66–89. doi:10.​1177/​0272989X07309642​.PubMedCrossRef
16.
go back to reference Wright, B. D. (1989). Rasch model from Thurstone’s scaling requirements. Rasch Measurement Transactions, 2, 13–14. Wright, B. D. (1989). Rasch model from Thurstone’s scaling requirements. Rasch Measurement Transactions, 2, 13–14.
17.
go back to reference Andrich, D. (1985). An elaboration of Guttman scaling with Rasch models for measurement. In N. Brandon-Tuma (Ed.), Sociological methodology (pp. 33–80). San Francisco, CA: Jossey-Bass. Andrich, D. (1985). An elaboration of Guttman scaling with Rasch models for measurement. In N. Brandon-Tuma (Ed.), Sociological methodology (pp. 33–80). San Francisco, CA: Jossey-Bass.
19.
go back to reference Rasch, G. (1960). In B. Rasc (Ed.), Probabilistic models for some intelligence and attainment tests (p. 184). Copenhagen, Denmark: Danmarks Paedagogiske Institut. Rasch, G. (1960). In B. Rasc (Ed.), Probabilistic models for some intelligence and attainment tests (p. 184). Copenhagen, Denmark: Danmarks Paedagogiske Institut.
21.
go back to reference Hawthorne, G., Richardson, J., & Osborne, R. (1999). The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life. Quality of Life Research, 8, 209–224. doi:10.1023/A:1008815005736.PubMedCrossRef Hawthorne, G., Richardson, J., & Osborne, R. (1999). The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life. Quality of Life Research, 8, 209–224. doi:10.​1023/​A:​1008815005736.PubMedCrossRef
24.
go back to reference Zhu, W. (1998). Test equating: what, why, how? Research Quarterly for Exercise and Sport, 69, 11–23.PubMed Zhu, W. (1998). Test equating: what, why, how? Research Quarterly for Exercise and Sport, 69, 11–23.PubMed
27.
go back to reference Raczek, A. E., Ware, J. E., Bjorner, J. B., Gandek, B., Haley, S. M., Aaronson, N. K., et al. (1998). Comparison of Rasch and summated rating scales constructed from SF-36 physical functioning items in seven countries: results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 1203–1214. doi:10.1016/S0895-4356(98)00112-7.PubMedCrossRef Raczek, A. E., Ware, J. E., Bjorner, J. B., Gandek, B., Haley, S. M., Aaronson, N. K., et al. (1998). Comparison of Rasch and summated rating scales constructed from SF-36 physical functioning items in seven countries: results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 1203–1214. doi:10.​1016/​S0895-4356(98)00112-7.PubMedCrossRef
28.
go back to reference Pickard, A. S., Kohlmann, T., Janssen, M. F., Bonsel, G., Rosenbloom, S., & Cella, D. (2007). Evaluating equivalency between response systems: application of the Rasch model to a 3-level and 5-level EQ-5D. Medical Care, 45, 812–819. doi:10.1097/MLR.0b013e31805371aa.PubMedCrossRef Pickard, A. S., Kohlmann, T., Janssen, M. F., Bonsel, G., Rosenbloom, S., & Cella, D. (2007). Evaluating equivalency between response systems: application of the Rasch model to a 3-level and 5-level EQ-5D. Medical Care, 45, 812–819. doi:10.​1097/​MLR.​0b013e31805371aa​.PubMedCrossRef
29.
go back to reference Hawthorne, G., & Richardson, J. (2001). Measuring the value of program outcomes: a review of multiattribute utility measures. Expert Review of Pharmacoeconomics and Outcomes Research, 1, 215–228.CrossRef Hawthorne, G., & Richardson, J. (2001). Measuring the value of program outcomes: a review of multiattribute utility measures. Expert Review of Pharmacoeconomics and Outcomes Research, 1, 215–228.CrossRef
30.
go back to reference Chan, K.-Y., Drasgow, F., & Sawin, L. L. (1999). What is the shelf life of a test? The effect of time on the psychometrics of a cognitive ability test battery. The Journal of Applied Psychology, 84, 610–619. doi:10.1037/0021-9010.84.4.610.CrossRef Chan, K.-Y., Drasgow, F., & Sawin, L. L. (1999). What is the shelf life of a test? The effect of time on the psychometrics of a cognitive ability test battery. The Journal of Applied Psychology, 84, 610–619. doi:10.​1037/​0021-9010.​84.​4.​610.CrossRef
32.
go back to reference Rummel, R. J. (1970). Applied factor analysis (pp. 24–27). Evanston, IL: Northwestern University Press. Rummel, R. J. (1970). Applied factor analysis (pp. 24–27). Evanston, IL: Northwestern University Press.
33.
35.
go back to reference Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed., p. 966). New York: Harper Collins. Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed., p. 966). New York: Harper Collins.
37.
go back to reference Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
38.
go back to reference Stone, M., & Yumoto, F. (2004). The effect of sample size for estimating Rasch/IRT parameters with dichotomous items. Journal of Applied Measurement, 5, 48–61.PubMed Stone, M., & Yumoto, F. (2004). The effect of sample size for estimating Rasch/IRT parameters with dichotomous items. Journal of Applied Measurement, 5, 48–61.PubMed
39.
go back to reference Linacre, J. M. (1994). Sample size and item calibration stability. Rasch Measurement Transactions, 7, 328–331. Linacre, J. M. (1994). Sample size and item calibration stability. Rasch Measurement Transactions, 7, 328–331.
40.
go back to reference Pallant, J. F., & Tennant, A. (2007). An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). The British Journal of Clinical Psychology, 46, 1–18. doi:10.1348/014466506X96931.PubMedCrossRef Pallant, J. F., & Tennant, A. (2007). An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). The British Journal of Clinical Psychology, 46, 1–18. doi:10.​1348/​014466506X96931.PubMedCrossRef
42.
go back to reference SPSS Inc. (2004). SPSS for Windows, version 13.0. Chicago, IL: SPSS Inc. SPSS Inc. (2004). SPSS for Windows, version 13.0. Chicago, IL: SPSS Inc.
43.
go back to reference Andrich, D., Sheridan, B., & Luo, G. (2005). RUMM2020. Perth, Australia: RUMM Laboratory Pty Ltd. Andrich, D., Sheridan, B., & Luo, G. (2005). RUMM2020. Perth, Australia: RUMM Laboratory Pty Ltd.
44.
go back to reference Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park: Sage Publications. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park: Sage Publications.
Metagegevens
Titel
Deriving utility scores from the SF-36 health instrument using Rasch analysis
Auteurs
Graeme Hawthorne
Konstancja Densley
Julie F. Pallant
Duncan Mortimer
Leonie Segal
Publicatiedatum
01-11-2008
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 9/2008
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-008-9395-5

Andere artikelen Uitgave 9/2008

Quality of Life Research 9/2008 Naar de uitgave