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Construct Validity of the EUROHIS-QOL for Rehabilitation Assessment

Published online by Cambridge University Press:  13 December 2016

Harsha N. Perera  and
James A. Athanasou
Harsha N. Perera
Affiliation:
Department of Educational Psychology and Higher Education, College of Education, University of Nevada, Las Vegas
James A. Athanasou*
Affiliation:
Discipline of Rehabilitation Counselling, Faculty of Health Sciences, University of Sydney, Lidcombe NSW 2141, Australia
*
Address for correspondence: James A. Athanasou, Discipline of Rehabilitation Counselling, Faculty of Health Sciences, University of Sydney, 75 East Street, Lidcombe NSW 2141, Australia. E-mail: [email protected]
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Abstract

The use of the EUROHIS as a brief measure of quality of life (QOL) in applied settings is increasingly commonplace, including in rehabilitation assessment contexts. However, there are concerns about the validity of data produced by the measure, chief amongst which is the latent structure underlying scores. This article reports on research conducted to investigate the dimensionality of scores derived from the EUROHIS. In addition, the factorial invariance of the retained model across gender as well as latent mean differences in QOL over age, employment status, and psychiatric severity were examined. Based on 251 responses to the EUROHIS by compensable accident victims, support was found for a complex one-factor model, which was found to be partially replicable across gender. Some evidence for differential item functioning across gender, age, and employment status was found. Finally, a U-shaped effect of age on QOL, characterized by a mid-life nadir, as well as effects of psychiatric severity on QOL, and a marginally significant effect of employment status were evident. Collectively, though the results of the present study yield validation data for the EUROHIS, they also raise concerns about the measure. We offer some tentative guidelines for working with the measure for both researchers and practitioners.

Keywords

quality of lifeEUROHISrehabilitation assessmentvalidityfactors
Type
Articles
Information
The Australian Journal of Rehabilitation Counselling , Volume 22 , Issue 2 , December 2016 , pp. 57 - 75
Copyright
Copyright © The Author(s) 2016 

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References

Alamgir, H., Turner, C.A., Wong, N.J., Cooper, S.P., Betancourt, J.A., Henry, J., . . . Packer, M.D. (2016). The impact of hearing impairment and noise-induced hearing injury on quality of life in the active-duty military population: Challenges to the study of this issue. Military Medical Research, 3, doi: 10.1186/s40779-016-0082-5.Google Scholar
Athanasou, J.A. (2015). Compensable injury and quality of life. The Australian Journal of Rehabilitation Counselling, 21, 18–28. doi: 10.1017/jrc.2015.4.Google Scholar
Athanasou, J.A. (2016). Encountering Personal Injury. Rotterdam: Sense Publishers.Google Scholar
Blalock, A.C., Mcdaniel, J.S., & Farber, E.W. (2002). Effect of employment on quality of life and psychological functioning in patients with HIV/AIDS. Psychosomatics, 43, 400–404. doi: 10.1176/appi.psy.43.5.400.Google Scholar
Blanchflower, D.G., & Oswald, A.J. (2008). Is well-being U-shaped over the life cycle? Social Science & Medicine, 66, 1733–1749. doi: 10.1016/j.socscimed.2008.01.030.Google Scholar
Brim, O.G., & Kagan, J. (1980). Constancy and Change in Human Development. Cambridge: MA: Harvard University Press.Google Scholar
Byrne, B.M., Shavelson, R.J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456–466. doi: 10.1037/0033-2909.105.3.456.Google Scholar
Chen, F.F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 464–504. doi: 10.1080/10705510701301834.Google Scholar
Cherepanov, D., Palta, M., Fryback, D.G., & Robert, S.A. (2010). Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19, 1115–1124. doi: 10.1007/s11136-010-9673-x.Google Scholar
Cheung, G.W., & Rensvold, R.B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233–255. doi: 10.1207/S15328007SEM0902_5.Google Scholar
Chou, F.C., Chou, P., Lin, C., Su, T.T.P., Ou-Yang, W.C., Chien, I.C., . . . & Chen, M.C. (2004). The relationship between quality of life and psychiatric impairment for a Taiwanese community post-earthquake. Quality of Life Research, 13, 1089–1097. doi: 10.1023/B:QURE.0000031337.73269.64.Google Scholar
Da Rocha, N.S., Power, M.J., Bushnell, D.M., & Fleck, M.P. (2012). The EUROHIS-QOL-8-Item Index: Comparative psychometric properties to its parent WHOQOL-BREF. Value in Health, 15, 449–457. doi: 10.1016/j.jval.2011.11.035.Google Scholar
Emery, C.F., Frid, D.J., Engebretson, T.O., Alonzo, A.A., Fish, A., Ferketch, A.K., . . . Stern, S.L. (2004). Gender differences in quality of life among cardiac patients. Psychosomatic Medicine, 66 (2), 190–197.Google Scholar
Engin, B., Uguz, F., Yilmaz, E., Özdemir, M., & Mevlitoglu, I. (2008). The levels of depression, anxiety and quality of life in patients with chronic idiopathic urticaria. Journal of the European Academy of Dermatology and Venereology, 22, 36–40. doi: 10.1111/j.1468-3083.2007.02324.x.Google Scholar
Fabian, E.S. (1992). Supported employment and the quality of life: Does a job make a difference? Rehabilitation Counseling Bulletin, 36 (2), 84–97.Google Scholar
Fassio, O., Rollero, C., & Piccoli, N. (2012). Health, quality of life and population density: A preliminary study on “contextualized” quality of life. Social Indicators Research, 110 (2), 479–488. doi: 10.1007/s11205-011-9940-4.Google Scholar
Frey, B.S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic literature, 40 (2), 402–435. doi: 10.1257/002205102320161320.Google Scholar
Frone, M.R., Russell, M., & Cooper, M.L. (1997). Relation of work-family conflict to health outcomes: A four-year longitudinal study of employed parents. Journal of Occupational and Organizational Psychology, 70, 325–335. doi: 10.1111/j.2044-8325.1997.tb00652.x.Google Scholar
Gopinath, B., Elbers, N.A., Jagnoor, J., Harris, I.A., Nicholas, M., Casey, P., . . . Cameron, I.D. (2016). Predictors of time to claim closure following a non-catastrophic injury sustained in a motor vehicle crash: A prospective cohort study. BMC Public Health, 16. doi: 10.1186/s12889-016-3093-y.Google Scholar
Hagedoorn, M., Buunk, B.P., Kuijer, R.G., Wobbes, T., & Sanderman, R. (2000). Couples dealing with cancer: Role and gender differences regarding psychological distress and quality of life. Psycho-Oncology, 9 (3), 232–242.Google Scholar
Jahoda, M. (1979). Impact of unemployment in the 1930s and the 1970s. Bulletin of the British Psychological Society, 32, 309–314.Google Scholar
Jahoda, M. (1981). Work, employment, and unemployment: Values, theories, and approaches in social research. American Psychologist, 36, 184–191. doi: 10.1037/0003-066X.36.2.184.Google Scholar
Kauhanen, M., & Natti, J. (2015). Involuntary temporary and part-time work, job quality and well-being at work. Social Indicators Research, 120, 783–799. doi: 10.1007/s11205-014-0617-7.Google Scholar
Krägeloh, C., Kersten, P., Billington, D.R., Hsu, P.-C., Shepherd, D., Landon, J., & Feng, X. (2013). Validation of the WHOQOL-BREF quality of life questionnaire for general use in New Zealand: Confirmatory factor analysis and rasch analysis. Quality of Life Research, 22, 1451–1457. doi: 10.1007/s11136-012-0265-9.Google Scholar
Marsh, H.W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11, 320–341. doi:10.1207/s15328007sem1103_2.Google Scholar
Millsap, R.E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479–515. doi: 10.1207/S15327906MBR3903_4.Google Scholar
Morin, A.J.S., Arens, A.K., & Marsh, H.W. (2015). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal, 23, 116–139. doi: 10.1080/10705511.2014.961800.Google Scholar
Muthén, L.K., & Muthén, B.O. (1998–2015). Mplus User's Guide. Los Angeles, CA: Muthén & Muthén.Google Scholar
Perera, H.N. (2015a). The internal structure of responses to the Trait Emotional Intelligence Questionnaire–Short Form: An exploratory structural equation modeling approach. Journal of Personality Assessment, 97, 411–423. doi: 10.1080/00223891.2015.1014042.Google Scholar
Perera, H.N. (2015b). Construct validity of the social provisions scale: A bifactor exploratory structural equation modeling approach. Assessment (online first). doi: 10.1177/1073191115589344.Google Scholar
Perera, H.N., McIlveen, P., Burton, L.J., & Corser, D.M. (2015). Beyond congruence measures for the evaluation of personality factor structure replicability: An exploratory structural equation modeling approach. Personality and Individual Differences, 84, 23–29. doi: 10.1016/j.paid.2015.01.004.Google Scholar
Perera, H.N., & Ganguly, R. (2016). Construct validity of scores from the connor–davidson resilience scale in a sample of postsecondary students with disabilities. Assessment (online first). doi: 1073191116646444.Google Scholar
Perera, H.N., Izadikhah, Z., O'Connor, P., & McIlveen, P. (2016). Resolving dimensionality problems with WHOQOL-BREF item respons. Assessment. Advance online publication. doi: 10.1177/1073191116678925.Google Scholar
Rollero, C., Gattino, S., & De Piccoli, N. (2014). A gender lens on quality of life: The role of sense of community, perceived social support, self-reported health and income. Social Indicators Research, 116, 887–898. doi: 10.1007/s11205-013-0316-9.Google Scholar
Schiavolin, S., Quintas, R., Ferroli, P., Acerbi, F., Brock, S., Cusin, A.,. . . & Raggi, A. (2015). Quality of life measures in Italian neurosurgical patients: Validity of the EUROHIS-QOL 8-item index. Quality of Life Research, 24 (2), 441–444. doi: 10.1007/s11136-014-0784-7.Google Scholar
Schmidt, S., Muhlan, H., & Power, M. (2005). The EUROHIS-QOL-8-item index: Psychometric results of a cross-cultural field study. European Journal of Public Health, 16, 420–428. doi: 10.1093/eurpub/cki155.CrossRefGoogle ScholarPubMed
Schrier, E., Schrier, I., Geertzen, J.H.B., & Dijkstra, P.U. (2016). Quality of life in rehabilitation outpatients: Normal values and a comparison with the general Dutch population and psychiatric patients. Quality of Life Research, 25, 135–142. doi: 10.1007/s11136-015-1060-1.Google Scholar
Schwandt, H. (2016). Unmet aspirations as an explanation for the age U-shape in wellbeing. Journal of Economic Behavior & Organization, 122, 75–87. doi: 10.1016/j.jebo.2015.11.011.Google Scholar
Schweizer, K. (2012). On correlated errors. European Journal of Psychological Assessment, 28, 1–2. doi: 10.1027/1015-5759/a000094.Google Scholar
Sirgy, M.J. (2012). The Psychology of Quality of Life. Hedonic Well-Being, Life Satisfaction and Eudaimonia. (2nd ed). Dordrecht: Springer.Google Scholar
Skevington, S.M. (2010). Qualities of life, educational level and human development: An international investigation of health. Social Psychiatry and Psychiatric Epidemiology, 45 (10), 999–1009. doi: 10.1007/s00127-009-0138-x.Google Scholar
Skevington, S.M., Lotfy, M., & O'Connell, K.A. (2004). The World Health Organization's WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A report from the WHOQOL group. Quality of Life Research, 13 (2), 299–310. doi: 10.1023/B:QURE.0000018486.91360.00.Google Scholar
Snell, D., Siegert, R., Surgenor, L., Dunn, J., & Hooper, G. (2016). Evaluating quality of life outcomes following joint replacement: Psychometric evaluation of a short form of the WHOQOL-BREF. Quality of Life Research, 25 (1), 51–61. doi: 10.1007/s11136-015-1044-1.Google Scholar
Super, D.E. (1980). A life-span, life-space approach to career development. Journal of Vocational Behavior, 16, 282–298. doi: 10.1016/0001-8791(80)90056-1.Google Scholar
Tartaglia, S. (2013). Different predictors of quality of life in urban environment. Social Indicators Research, 113, 1045–1053. doi: 10.1007/s11205-012-0126-5.Google Scholar
Trompenaars, F., Masthoff, E., Van Heck, G., Hodiamont, P., & De Vries, J. (2005). Content validity, construct validity, and reliability of the WHOQOL-BREF in a population of Dutch adult psychiatric outpatients. Quality of Life Research, 14, 151–160. doi: 10.1007/s11136-004-0787-x.Google Scholar
Unden, A.-L., Elofsson, S., Andreasson, A., Hillered, E., Eriksson, I., & Brismar, K. (2008). G Gender differences in self-rated health, quality of life, quality of care, and metabolic control in patients with diabetes. Gender Medicine, 5, 162–180. doi: 10.1016/j.genm.2008.05.003.Google Scholar
Van Leeuwen, C.M.C., Kraaijeveld, S., Lindeman, E., & Post, M.W.M. (2012). Associations between psychological factors and quality of life ratings in persons with spinal cord injury: A systematic review. Spinal Cord, 50, 174–187. doi: 10.1038/sc.2011.120.Google Scholar
Williamson, M.L.C., Elliott, T.R., Bogner, J., Dreer, L.E., Arango-Lasprilla, J.C., Kolakowsky-Hayner, S.A., . . . Perrin, P.B. (2016). Trajectories of life satisfaction over the first 10 years after traumatic brain injury: Race, gender, and functional ability. Journal of Head Trauma Rehabilitation, 31 (3), 167–179. doi: 10.1097/HTR.0000000000000111.Google Scholar
Wilson, S., Forchheimer, M., Heinemann, A.W., Warren, A.M., & McCullumsmith, C. (2016). Assessment of the relationship of spiritual well-being to depression and quality of life for persons with spinal cord injury. Disability and Rehabilitation (online first). doi: 10.3109/09638288.2016.1152600.Google Scholar