Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-10T16:00:48.121Z Has data issue: false hasContentIssue false
  • English
  • Français

The SF–8 Spanish Version for Health-Related Quality of Life Assessment: Psychometric Study with IRT and CFA Models

Published online by Cambridge University Press:  22 March 2018

José M. Tomás ,
Laura Galiana  and
Irene Fernández
José M. Tomás
Affiliation:
Universidad de Valencia (Spain).
Laura Galiana*
Affiliation:
Universidad de Valencia (Spain).
Irene Fernández
Affiliation:
Universidad de Valencia (Spain).
*
*Correspondence concerning this article should be addressed to Laura Galiana. Departamento de Metodología de las Ciencias del Comportamiento de la Universidad de Valencia. (Spain). E-mail: Laura.Galiana@uv.es
Get access Rights & Permissions [Opens in a new window]

Abstract

The aim of current research is to analyze the psychometric properties of the Spanish version of the SF–8, overcoming previous shortcomings. A double line of analyses was used: competitive structural equations models to establish factorial validity, and Item Response theory to analyze item psychometric characteristics and information. 593 people aged 60 years or older, attending long life learning programs at the University were surveyed. Their age ranged from 60 to 92 years old. 67.6% were women. The survey included scales on personality dimensions, attitudes, perceptions, and behaviors related to aging. Competitive confirmatory models pointed out two-factors (physical and mental health) as the best representation of the data: χ2(13) = 72.37 (p < .01); CFI = .99; TLI = .98; RMSEA = .08 (.06, .10). Item 5 was removed because of unreliability and cross-loading. Graded response models showed appropriate fit for two-parameter logistic model both the physical and the mental dimensions. Item Information Curves and Test Information Functions pointed out that the SF–8 was more informative for low levels of health. The Spanish SF–8 has adequate psychometric properties, being better represented by two dimensions, once Item 5 is removed. Gathering evidence on patient-reported outcome measures is of crucial importance, as this type of measurement instruments are increasingly used in clinical arena.

Keywords

Item Response theory (IRT)Patient-reported outcome measures (PROMs)Short Form-8 Health Survey Questionnaire (SF–8)Structural Equation Modeling (SEM)
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 21 , 2018 , E1
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research has been funded by the Project PSI2014-53280-R: Estudio Longitudinal del Envejecimiento Exitoso en Personas Mayores en Programas de Aprendizaje a lo Largo de la Vida: Impacto Sobre el Bienestar Biopsicosocial.

How to cite this article:

Tomás, J. M., Galiana, L., & Fernández, I. (2018). The SF–8 Spanish version for Health-Related Quality of Life Assessment: Psychometric study with IRT and CFA models. The Spanish Journal of Psychology, 21. e1. Doi:10.1017/sjp.2018.4

References

Bellón, J. A., Delgado, A., Luna, J. D., & Lardelli, P. (1996). Validez y fiabilidad del cuestionario de apoyo social funcional Duke–UNC–11 [Validity and reliability of the Duke–UNC–11 Functional Social Support Questionnaire]. Atención Primaria, 18, 153–156.Google Scholar
Boykin, R. E., Patterson, D., Briggs, K. K., Dee, A., & Philippon, M. J. (2013). Results of arthroscopic labral reconstruction of the hip in elite athletes. The American Journal of Sports Medicine, 41(10), 2296–2301. https://doi.org/10.1177/0363546513498058 CrossRefGoogle ScholarPubMed
Carter, S. E., & Walker, R. L. (2014). Anxiety symptomatology and perceived health in African American adults: Moderating role of emotion regulation. Cultural Diversity & Ethnic Minority Psychology, 20(3), 307–315. https://doi.org/10.1037/a0035343 CrossRefGoogle ScholarPubMed
Dawson, J., Doll, H., Fitzpatrick, R., Jenkinson, C., & Carr, A. J. (2010). Routine use of patient reported outcome measures in healthcare settings. The BMJ, 340, c186. https://doi.org/10.1136/bmj.c186 CrossRefGoogle ScholarPubMed
Deng, J., Hu, J., Wu, W., Dong, B., & Wu, H. (2010). Subjective well-being, social support, and age-related functioning among the very old in China. International Journal of Geriatric Psychiatry, 25(7), 697–703. https://doi.org/10.1002/gps.2410 CrossRefGoogle ScholarPubMed
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71–75.CrossRefGoogle ScholarPubMed
Frendl, D. M., & Ware, J. E. Jr. (2014). Patient-reported functional health and well-being outcomes with drug therapy. A systematic review of randomized trials using the SF–36 Health Survey. Medical Care, 52(5), 439–445. https://doi.org/10.1097/MLR.000000000000010311 CrossRefGoogle ScholarPubMed
Gregorio, L., Brindisi, J., Kleppinger, A., Sullivan, R., Mangano, K. M., Bihuniak, J. D., … Insogna, K. L. (2014). Adequate dietary protein is associated with better physical performance among post-menopausal women 60–90 years. The Journal of Nutrition Health and Aging, 18(2), 155–160. https://doi.org/10.1007/s12603-013-0391-2 CrossRefGoogle ScholarPubMed
Gutiérrez, M., Tomás, J. M., Galiana, L., Sancho, P., & Cebrià, M. A. (2013). Predicting life satisfaction of the Angolan elderly: A structural model. Aging & Mental Health, 17, 94–101. https://doi.org/10.1080/13607863.2012.702731 CrossRefGoogle ScholarPubMed
Hambleton, R. K., van der Linden, W. J., & Wells, C. S. (2010). IRT models for the analysis of polytomously scored data: Brief and selected history of model building advances. In Nering, M. L. and Ostini, R. (Eds.), Handbook of polytomous item response models (pp. 21–42). New York, NY: Routledge.Google Scholar
Higginson, I. J., & Carr, A. J. (2001). Using quality of life measures in the clinical setting. The BMJ, 322. https://doi.org/10.1136/bmj.322.7297.1297 CrossRefGoogle ScholarPubMed
Hoeymans, N., Feskens, E. J., van den Bos, G. A., & Kromhout, D. (1997). Age, time, and cohort effects on functional status and self-rated health in elderly men. American Journal of Public Health, 87(10), 1620–1625. https://doi.org/10.2105/AJPH.87.10.1620 CrossRefGoogle ScholarPubMed
Infurna, F. J., Gerstorf, D., & Zarit, S. H. (2011). Examining dynamic links between perceived control and health: Longitudinal evidence for differential effects in midlife and old age. Developmental Psychology, 47(1), 9–18. https://doi.org/10.1037/a0021022 CrossRefGoogle ScholarPubMed
Lefante, J. J. Jr., Harmon, G. N., Ashby, K. M., Barnard, D., & Webber, L. S. (2005). Use of the SF–8 to assess health-related quality of life for a chronically ill, low-income population participating in the Central Louisiana Medication Access Program (CMAP). Quality of Life Research, 14, 665–673. https://doi.org/10.1007/s11136-004-0784-0 CrossRefGoogle ScholarPubMed
Mannell, R. C., & Dupuis, S. (1996). Life satisfaction. In Birren, J. E. (Ed.), Encyclopedia of gerontology (pp. 59–64). San Diego, CA: Academic Press.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, 11, 320–341. https://doi.org/10.1207/s15328007sem1103_2 CrossRefGoogle Scholar
Maust, D. T., Chen, S. H., Benson, A., Mavandadi, S., Streim, J. E., DiFilippo, S., … Oslin, D. W. (2015). Older adults recently started on psychotropic medication: Where are the symptoms? International Journal of Geriatric Psychiatry, 30(6), 580–586. https://doi.org/10.1002/gps.4187 CrossRefGoogle ScholarPubMed
Naseer, M., & Fagerström, C. (2015). Prevalence and association of undernutrition with quality of life among Swedish people aged 60 years and above: Results of the SNAC-B study. The Journal of Nutrition Health and Aging, 19(10), 970–979. https://doi.org/10.1007/s12603-015-0475-2 CrossRefGoogle ScholarPubMed
Neubauer, T., Krawany, M., Leitner, L., Karlbauer, A., Wagner, M., & Plecko, M. (2012). Retrograde femoral nailing in elderly patients: Outcome and functional results. Orthopedics, 35(6), e855–e861. https://doi.org/10.3928/01477447-20120525-24 CrossRefGoogle ScholarPubMed
Orive, M., Aguirre, U., García-Gutiérrez, S., Las Hayas, C., Bilbao, A., González, N., … Quintana, J. M. (2015). Changes in health-related quality of life and activities of daily living after hip fracture because of a fall in elderly patients: a prospective cohort study. International Journal of Clinical Practice, 69(4), 491–500. https://doi.org/10.1111/ijcp.12527 CrossRefGoogle ScholarPubMed
Patel, K. M., Economides, J. M., Franklin, B., Sosin, M., Attinger, C., & Ducic, I. (2014). Correlating patient-reported outcomes and ambulation success following microsurgical lower extremity reconstruction in comorbid patients. Microsurgery, 34(1), 1–4. https://doi.org/10.1002/micr.22126 CrossRefGoogle ScholarPubMed
Pavot, W., & Diener, E. (1993). Review of the Satisfaction with Life Scale. Psychological Assessment, 5, 164–172. https://doi.org/10.1037/1040-3590.5.2.164 CrossRefGoogle Scholar
Raina, P., Bonnett, B., Waltner-Toews, D., Woodward, C., & Abernathy, T. (1999). How reliable are selected scales from population-based health surveys? An analysis among seniors. Canadian Journal of Public Health, 90(1), 60–64.CrossRefGoogle ScholarPubMed
Raykov, T. (2001). Bias of coefficient alfa for fixed congeneric measures with correlated errors. Applied Psychological Measurement, 25, 69–76. https://doi.org/10.1177/01466216010251005 CrossRefGoogle Scholar
Raykov, T. (2004). Behavioral scale reliability and measurement invariance evaluation using latent variable modeling. Behavior Therapy, 35, 299–331. https://doi.org/10.1016/S0005-7894(04)80041-8 CrossRefGoogle Scholar
Raykov, T., & Marcoulides, G. A. (2011). Introduction to psychometric theory. New York, NY: Routledge.CrossRefGoogle Scholar
Roberts, B., Browne, J., Ocaka, K. F., Oyok, T., & Sondorp, E. (2008). The reliability and validity of the SF–8 with a conflict-affected population in northern Uganda. Health and Quality of Life Outcomes, 6, 108.CrossRefGoogle ScholarPubMed
Samejima, F. (1997). Graded response model. In van der Linden W., W. and Hambleton, R. K. (Eds.), Handbook of modern Item Response theory (pp. 85–100). New York, NY: Springer.CrossRefGoogle Scholar
Sargent-Cox, K. A., Anstey, K. J., & Luszcz, M. A. (2008). Determinants of self-rated health items with different points of reference. Implications for health measurement of older adults. Journal of Aging and Health, 20(6), 739–761. https://doi.org/10.1177/0898264308321035 CrossRefGoogle ScholarPubMed
Smith, M. S., Wallston, K. A., & Smith, C. A. (1995). The development and validation of the Perceived Health Competence Scale. Health Education Research, 10(1), 51–64. https://doi.org/10.1093/her/10.1.51 CrossRefGoogle ScholarPubMed
Sugimoto, M., Takegami, M., Suzukamo, Y., Fukuhara, S., & Kakehi, Y. (2008). Health-related quality of life in Japanese men with localized prostate cancer: Assessment with the SF–8. International Journal of Urology, 15(6), 524–528. https://doi.org/10.1111/j.1442-2042.2008.02046.x CrossRefGoogle ScholarPubMed
Tokuda, Y., Okubo, T., Ohde, S., Jacobs, J., Takahashi, O., Omata, F., … Fukui, T. (2009). Assessing items on the SF–8 Japanese version for Health-Related Quality of Life: A psychometric analysis based on the nominal categories model of Item Response theory. Value in Health, 12(4), 568–573. https://doi.org/10.1111/j.1524-4733.2008.00449.x CrossRefGoogle ScholarPubMed
Treanor, C., & Donnelly, M. (2015). A methodological review of the Short Form Health Survey 36 (SF–36) and its derivatives among breast cancer survivors. Quality of Life Research, 24(2), 339–362. https://doi.org/10.1007/s11136-014-0785-6 CrossRefGoogle ScholarPubMed
Turner-Bowker, D. M., Bartley, P. J., & Ware, J. E. Jr. (2002). SF–36® Health Survey & “SF” Bibliography: Third Edition (1988–2000). Lincoln, RI: QualityMetric Incorporated.Google Scholar
Turner-Bowker, D. M., Bayliss, M. S., Ware, J. E. Jr., & Kosinski, M. (2003). Usefulness of the SF–8 Health Survey for comparing the impact of migraine and other conditions. Quality of Life Research, 12(8), 1003–1012.CrossRefGoogle ScholarPubMed
Vallès, J., Guilera, M., Briones, Z., Gomar, C., Canet, J., Alonso, J., … ARISCAT Group. (2010). Validity of the Spanish 8-item short-form generic health-related quality-of-life questionnaire in surgical patients: a population-based study. Anesthesiology, 5(112), 1164–1174. https://doi.org/10.1097/ALN.0b013e3181d3e017 CrossRefGoogle Scholar
Wallston, B. S., Alagna, S. W., DeVellis, B. M., & DeVellis, R. F. (1983). Social support and physical health. Health Psychology, 2(4), 367–391. https://doi.org/10.1037/0278-6133.2.4.367 CrossRefGoogle Scholar
Ware, J. E. Jr., Kosinski, M., Dewey, J., & Gandek, B. (2001). How to score and interpret single-item health status measures: A manual for users of the SF–8 Health Survey. Boston, MA: QualyMetric.Google Scholar
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.CrossRefGoogle ScholarPubMed
Ware, J. E. Jr., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF–36 Health Survey manual and interpretation guide. Boston, MA: New England Medical Center, The Health Institute.Google Scholar