Top

Quality of Life Research

Gepubliceerd in:

01-02-2015

Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis

Auteurs: Yu-Yu Hsiao, Ching-Lin Shih, Wan-Hui Yu, Cheng-Hsi Hsieh, Ching-Lin Hsieh

Gepubliceerd in: Quality of Life Research | Uitgave 2/2015

Abstract

Purpose

The Medical Outcome Study Short Form 36 (SF-36) is one of the most commonly used questionnaires for monitoring the Health-Related Quality of Life (HRQOL) of opioid-dependent patients. However, the unidimensionality and reliability of the SF-36 have not been verified in opioid-dependent patients. The aim of this study was to examine the unidimensionality and to improve the test reliability of the SF-36 for use in opioid-dependent patients.

Methods

A total of 583 opioid-dependent patients were recruited in the study. Unidimensionality was examined by conducting unidimensional Rasch analysis. Item fit statistics and principle component analysis were used to check the item-model fit in each of the eight subscales of the SF-36. Reliability was evaluated by applying both unidimensional and multidimensional Rasch analyses.

Results

After three misfitting items were excluded, the remaining items of each subscale in the SF-36 represented a single construct. The test reliabilities (0.80–0.87) yielded by the multidimensional approach were much higher than those (0.68–0.82) produced by the unidimensional approach.

Conclusion

The remaining 32 items of the SF-36 are appropriate for evaluating the HRQOL in opioid-dependent patients in terms of unidimensionality. Additionally, the test scores produced by the multidimensional approach were more accurate than those obtained by the unidimensional approach.

vorige artikel Pooling of cross-cultural PRO data in multinational clinical trials: How much can poor measurement affect statistical power?

volgende artikel Combination of classical test theory (CTT) and item response theory (IRT) analysis to study the psychometric properties of the French version of the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF)

Lee, T. S., Shen, H. C., Wu, W. H., Huang, C. W., Yen, M. Y., Wang, B. E., et al. (2011). Clinical characteristics and risk behavior as a function of HIV status among heroin users enrolled in methadone treatment in northern Taiwan. Substance Abuse Treatment, Prevention, and Policy, 6, 6.PubMedCentralPubMedCrossRef

Warner-Smith, M., Darke, S., Lynskey, M., & Hall, W. (2001). Heroin overdose: Causes and consequences. Addiction, 96(8), 1113–1125.PubMedCrossRef

Rosen, D., Hunsaker, A., Albert, S. M., Cornelius, J. R., & Reynolds, C. F., III. (2011). Characteristics and consequences of heroin use among older adults in the United States: A review of the literature, treatment implications, and recommendations for further research. Addictive Behaviors, 36(4), 279–285.PubMedCentralPubMedCrossRef

Oviedo-Joekes, E., Marchand, K., Guh, D., Marsh, D. C., Brissette, S., Krausz, M., et al. (2011). History of reported sexual or physical abuse among long-term heroin users and their response to substitution treatment. Addictive Behaviors, 36(1–2), 55–60.PubMedCrossRef

Lee, C. T. C., Chen, V. C. H., Tan, H. K. L., Chou, S.-Y., Wu, K.-H., Chan, C.-H., et al. (2013). Suicide and other-cause mortality among heroin users in Taiwan: A prospective study. Addictive Behaviors, 38(10), 2619–2623.PubMedCrossRef

Ryan, C. F., & White, J. M. (1996). Health status at entry to methadone maintenance treatment using the SF-36 health survey questionnaire. Addiction, 91(1), 39–45.PubMedCrossRef

Domingo-Salvany, A., Brugal, M. T., Barrio, G. González-Saiz, F. Bravo, M.J., de la Fuente, L., et al. (2010). Gender differences in health related quality of life of young heroin users. Health and Quality of Life Outcomes, 8, 145.PubMedCentralPubMedCrossRef

Puigdollers, E., Domingo-Salvany, A., Brugal, M. T., Torrens, M., Alvaros, J., Castillo, C., et al. (2004). Characteristics of heroin addicts entering methadone maintenance treatment: Quality of life and gender. Substance Use and Misuse, 39(9), 1353–1368.PubMedCrossRef

Prochaska, J. J., Sorensen, J. L., Hall, S. M., Rossi, J. S., Redding, C. A., Rosen, A. B., et al. (2005). Predictors of health functioning in two high-risk groups of smokers. Drug and Alcohol Dependence, 78(2), 169–175.PubMedCrossRef

10.

Perneger, T. V., Giner, F., del Rio, M., & Mino, A. (1998). Randomised trial of heroin maintenance programme for addicts who fail in conventional drug treatments. British Medical Journal, 317(7150), 13–18.PubMedCentralPubMedCrossRef

11.

Karow, A., Verthein, U., Pukrop, R., Reimer, J., Haasen, C., Krausz, M., et al. (2011). Quality of life profiles and changes in the course of maintenance treatment among 1,015 patients with severe opioid dependence. Substance Use and Misuse, 46(6), 705–715.PubMedCrossRef

12.

Karow, A., Reimer, J., Schafer, I., Krausz, M., Haasen, C., & Verthein, U. (2010). Quality of life under maintenance treatment with heroin versus methadone in patients with opioid dependence. Drug and Alcohol Dependence, 112(3), 209–215.PubMedCrossRef

13.

Richter, D., Eikelmann, B., & Berger, K. (2004). Use of the SF-36 in the evaluation of a drug detoxification program. Quality of Life Research, 13(5), 907–914.PubMedCrossRef

14.

Mishra, G., Gale, C., Sayer, A., Cooper, C., Dennison, E., Whalley, L., et al. (2011). How useful are the SF-36 sub-scales in older people? Mokken scaling of data from the HALCyon programme. Quality of Life Research, 20(7), 1005–1010.PubMedCentralPubMedCrossRef

15.

Haley, S. M., McHorney, C. A., & Ware, J. E. (1994). Evaluation of the MOS SF-36 physical functioning scale (PF-10):1. Unidimensionality and reproducibility of the Rasch item scale. Journal of Clinical Epidemiology, 47(6), 671–684.PubMedCrossRef

16.

van der Heijden, P. G. M., van Buuren, S., Fekkes, M., Radder, J., & Verrips, E. (2003). Unidimensionality and reliability under Mokken scaling of the Dutch language version of the SF-36. Quality of Life Research, 12(2), 189–198.PubMedCrossRef

17.

Schröder, A., Oernboel, E., Licht, R. W., Sharpe, M., & Fink, P. (2012). Outcome measurement in functional somatic syndromes: SF-36 summary scores and some scales were not valid. Journal of Clinical Epidemiology, 65(1), 30–41.PubMedCrossRef

18.

Gandek, B., Ware, J. E., Jr., Aaronson, N. K., Alonso, J., Apolone, G., Bjorner, J., et al. (1998). Tests of data quality, scaling assumptions, and reliability of the SF-36 in eleven countries: Results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51(11), 1149–1158.PubMedCrossRef

19.

Leese, M., Schene, A., Koeter, M., Meijer, K., Bindman, J., Mazzi, M., et al. (2008). SF-36 scales, and simple sums of scales, were reliable quality-of-life summaries for patients with schizophrenia. Journal of Clinical Epidemiology, 61(6), 588–596.PubMedCrossRef

20.

Hattie, J. (1985). Methodology review: Assessing unidimensionality of test and items. Applied Psychological Measurement, 9(2), 139–164.CrossRef

21.

Bland, J. M., & Altman, D. G. (1997). Statistics notes: Cronbach’s alpha. British Medical Journal, 314(7080), 572.PubMedCentralPubMedCrossRef

22.

Wang, W.-C., Chen, P.-H., & Cheng, Y.-Y. (2004). Improving measurement precision of test batteries using multidimensional item response models. Psychological Methods, 9(1), 116–136.PubMedCrossRef

23.

Yan, Z., & Mok, M. M. C. (2012). Validating the coping scale for Chinese athletes using multidimensional Rasch analysis. Psychology of Sport and Exercise, 13(3), 271–279.CrossRef

24.

Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Thousand Oaks, CA: Sage.

25.

Briggs, D. C., & Wilson, M. (2003). An introduction to multidimensional measurement using Rasch models. Journal of Applied Measurement, 4(1), 87–100.PubMed

26.

Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Denmark: Danmarks Paedagogiske Institut.

27.

Lu, J. F. R., Tseng, H. M., & Tsai, Y. J. (2003). Assessment of health-related quality of life in Taiwan (I): Development and psychometric testing of SF-36 Taiwan version. Taiwan Journal of Public Health, 22(6), 501–511.

28.

Chiu, E. C., Hsueh, I. P., Hsieh, C. H., & Hsieh, C. L. (2012). Tests of data quality, scaling assumptions, reliability, and construct validity of the SF-36 health survey in people who abuse heroin. Journal of the Formosan Medical Association, 113(4), 234–241.PubMedCrossRef

29.

Masters, G. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174.CrossRef

30.

Wright, B. D., Linacre, J. M., Gustafson, J.-E., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370.

31.

Chen, W. H., Lenderking, W., Jin, Y., Wyrwich, K. W., Gelhorn, H., & Revicki, D. A. (2014). Is Rasch model analysis applicable in small size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data. Quality of Life Research, 23(2), 485–493.PubMedCrossRef

32.

Linacre, J. M. (1994). Sample size and item calibrations stability. Rasch Measurement Transactions, 7(4), 328.

33.

Lord, F. M., Novick, M. R., & Birnbaum, A. (1968). Statistical theories of mental test scores. Oxford: Addison-Wesley.

34.

Dallmeijer, A. J., de Groot, V., Roorda, L. D., Schepers, V. P. M., Lindeman, E., et al. (2007). Cross-diagnostic validity of the SF-36 physical functioning scale in patients with stroke, multiple sclerosis and amyotrophic lateral sclerosis: A study using Rasch analysis. Journal of Rehabilitation Medicine, 39(2), 163–169.PubMedCrossRef

35.

Jenkinson, C., Fitzpatrick, R., Garratt, A., Peto, V., & Stewart-Brown, S. (2001). Can item response theory reduce patient burden when measuring health status in neurological disorders? Results from Rasch analysis of the SF-36 physical functioning scale (PF-10). Journal of Neurology, Neurosurgery and Psychiatry, 71(2), 220–224.PubMedCentralPubMedCrossRef

36.

Taylor, W. J., & McPherson, K. M. (2007). Using Rasch analysis to compare the psychometric properties of the short form 36 physical function score and the health assessment questionnaire disability index in patients with psoriatic arthritis and rheumatoid arthritis. Arthritis Care & Research, 57(5), 723–729.CrossRef

37.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit Indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRef

38.

Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: The Guilford Press.

39.

Wang, W. C., Yao, G., Tsai, Y. J., Wang, J. D., & Hsieh, C. L. (2006). Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis. Quality of Life Research, 15(4), 607–620.PubMedCrossRef

Titel: Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis
Auteurs: Yu-Yu Hsiao
Ching-Lin Shih
Wan-Hui Yu
Cheng-Hsi Hsieh
Ching-Lin Hsieh
Publicatiedatum: 01-02-2015
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 2/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-014-0771-z

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusion

Log in om toegang te krijgen

Andere artikelen Uitgave 2/2015

Pooling of cross-cultural PRO data in multinational clinical trials: How much can poor measurement affect statistical power?

Longitudinal analysis of relationships between social support and general health in an Australian population cohort of young women

Differential exercise effects on quality of life and health-related quality of life in older adults: a randomized controlled trial

Comparison of pre- and post-operative health-related quality of life and length of stay after primary total hip replacement in matched English and German patient cohorts

The use of the EQ-5D as a measure of health-related quality of life in people with dementia and their carers

The Caregiver Quality of Life Index–Cancer (CQOLC) in Singapore: a new preliminary factor structure for caregivers of ambulatory patients with cancer