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

Quality of Life Research

Volumn 24, Issue 2, 2015, Pages 279-285

  Hsiao, Yu Yu ^a   Shih, Ching Lin ^b   Yu, Wan Hui ^c   Hsieh, Cheng Hsi ^d   Hsieh, Ching Lin ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^d TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

Author keywords

Health Related Quality of Life (HRQOL); Multidimensional Rasch model; Opioid dependence; Test reliability; Unidimensionality

Indexed keywords

ADOLESCENT; ADULT; FEMALE; HUMAN; MALE; MIDDLE AGED; OPIOID-RELATED DISORDERS; PROSPECTIVE STUDY; PSYCHOMETRY; QUALITY OF LIFE; QUESTIONNAIRE; REPRODUCIBILITY; STANDARDS; TAIWAN; TOTAL QUALITY MANAGEMENT; VALIDATION STUDY; YOUNG ADULT;

ADOLESCENT; ADULT; FEMALE; HUMANS; MALE; MIDDLE AGED; OPIOID-RELATED DISORDERS; PROSPECTIVE STUDIES; PSYCHOMETRICS; QUALITY IMPROVEMENT; QUALITY OF LIFE; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; TAIWAN; YOUNG ADULT;

EID: 84931025408     PISSN: 09629343     EISSN: 15732649     Source Type: Journal    
DOI: 10.1007/s11136-014-0771-z     Document Type: Article

References (39)

1. 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.
2. Warner-Smith, M., Darke, S., Lynskey, M., & Hall, W. (2001). Heroin overdose: Causes and consequences. Addiction,96(8), 1113–1125.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
20. Hattie, J. (1985). Methodology review: Assessing unidimensionality of test and items. Applied Psychological Measurement,9(2), 139–164.
21. Bland, J. M., & Altman, D. G. (1997). Statistics notes: Cronbach’s alpha. British Medical Journal,314(7080), 572.
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.
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.
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.
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.
29. Masters, G. (1982). A Rasch model for partial credit scoring. Psychometrika,47(2), 149–174.
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.
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.
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.
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.
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.
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.