Skip to main content
Top
Gepubliceerd in: Quality of Life Research 9/2013

01-11-2013

Measurement bias of the SF-36 Health Survey in older adults with chronic conditions

Auteurs: Hongdao Meng, Bellinda L. King-Kallimanis, Amber Gum, Brenda Wamsley

Gepubliceerd in: Quality of Life Research | Uitgave 9/2013

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

Purpose

The objectives of this study were to investigate the psychometric properties of the SF-36 in a sample of older adults with chronic conditions and to test whether measurement bias exists based on the levels of comorbidity.

Methods

Participants included were 979 cognitively intact older adults with comorbidities who were interviewed at their homes. We examined the psychometric properties of the SF-36 and conducted confirmatory factor analysis (CFA) to investigate the assumption of measurement invariance by the levels of comorbidity.

Results

Overall data quality was high and scaling assumptions were generally met with few exceptions. Floor and ceiling effects were present for the role-physical and role-emotional subscales. Using CFA, we found that a three-factor measurement model fits the data well. We identified two violations of measurement invariance. Results showed that participants with high comorbidity level place more emphasis on social functioning (SF) and bodily pain (BP) in relation to physical health-related quality of life (HRQoL) than those with low comorbidity level.

Conclusions

Measurement bias was present for the SF and BP components of the SF-36 physical HRQoL measure. Researchers should be cautious when considering the use of SF-36 in clinical studies among older adults with comorbidities.
Literatuur
1.
go back to reference Cella, D., Riley, W., Stone, A., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63, 1179–1194.PubMedCrossRef Cella, D., Riley, W., Stone, A., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63, 1179–1194.PubMedCrossRef
2.
go back to reference Ware, J. E., Jr. (1998). Gandek B: Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51, 903–912.PubMedCrossRef Ware, J. E., Jr. (1998). Gandek B: Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51, 903–912.PubMedCrossRef
3.
go back to reference Ware, J. E., Jr. (1992). Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473–483.PubMedCrossRef Ware, J. E., Jr. (1992). Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473–483.PubMedCrossRef
4.
go back to reference Hayes, V., Morris, J., Wolfe, C., et al. (1995). The SF-36 health survey questionnaire: Is it suitable for use with older adults? Age and Ageing, 24, 120–125.PubMedCrossRef Hayes, V., Morris, J., Wolfe, C., et al. (1995). The SF-36 health survey questionnaire: Is it suitable for use with older adults? Age and Ageing, 24, 120–125.PubMedCrossRef
5.
go back to reference Parker, S. G., Peet, S. M., Jagger, C., et al. (1998). Measuring health status in older patients. The SF-36 in practice. Age and Ageing, 27, 13–18.PubMedCrossRef Parker, S. G., Peet, S. M., Jagger, C., et al. (1998). Measuring health status in older patients. The SF-36 in practice. Age and Ageing, 27, 13–18.PubMedCrossRef
6.
go back to reference Rothrock, N. E., Hays, R. D., Spritzer, K., et al. (2010). Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS). Journal of Clinical Epidemiology, 63, 1195–1204.PubMedCrossRef Rothrock, N. E., Hays, R. D., Spritzer, K., et al. (2010). Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS). Journal of Clinical Epidemiology, 63, 1195–1204.PubMedCrossRef
7.
go back to reference Yu, Y. F., Yu, A. P., & Ahn, J. (2007). Investigating differential item functioning by chronic diseases in the SF-36 health survey: A latent trait analysis using MIMIC models. Medical Care, 45, 851–859.PubMedCrossRef Yu, Y. F., Yu, A. P., & Ahn, J. (2007). Investigating differential item functioning by chronic diseases in the SF-36 health survey: A latent trait analysis using MIMIC models. Medical Care, 45, 851–859.PubMedCrossRef
8.
go back to reference Anderson, G. F. (2005). Medicare and chronic conditions. New England Journal of Medicine, 353, 305–309.PubMedCrossRef Anderson, G. F. (2005). Medicare and chronic conditions. New England Journal of Medicine, 353, 305–309.PubMedCrossRef
9.
go back to reference Hill, S., Harries, U., & Popay, J. (1996). Is the short form 36 (SF-36) suitable for routine health outcomes assessment in health care for older people? Evidence from preliminary work in community based health services in England. Journal of Epidemiology and Community Health, 50, 94–98.PubMedCrossRef Hill, S., Harries, U., & Popay, J. (1996). Is the short form 36 (SF-36) suitable for routine health outcomes assessment in health care for older people? Evidence from preliminary work in community based health services in England. Journal of Epidemiology and Community Health, 50, 94–98.PubMedCrossRef
10.
go back to reference Mallinson, S. (1998). The Short-Form 36 and older people: some problems encountered when using postal administration. Journal of Epidemiology and Community Health, 52, 324–328.PubMedCrossRef Mallinson, S. (1998). The Short-Form 36 and older people: some problems encountered when using postal administration. Journal of Epidemiology and Community Health, 52, 324–328.PubMedCrossRef
11.
go back to reference Reuben, D. B., Valle, L. A., Hays, R. D., et al. (1995). Measuring physical function in community-dwelling older persons: A comparison of self-administered, interviewer-administered, and performance-based measures. Journal of the American Geriatrics Society, 43, 17–23.PubMed Reuben, D. B., Valle, L. A., Hays, R. D., et al. (1995). Measuring physical function in community-dwelling older persons: A comparison of self-administered, interviewer-administered, and performance-based measures. Journal of the American Geriatrics Society, 43, 17–23.PubMed
12.
go back to reference Lyons, R. A., Perry, H. M., & Littlepage, B. N. (1994). Evidence for the validity of the Short-form 36 Questionnaire (SF-36) in an elderly population. Age and Ageing, 23, 182–184.PubMedCrossRef Lyons, R. A., Perry, H. M., & Littlepage, B. N. (1994). Evidence for the validity of the Short-form 36 Questionnaire (SF-36) in an elderly population. Age and Ageing, 23, 182–184.PubMedCrossRef
13.
go back to reference Hobson, J. P., & Meara, R. J. (1997). Is the SF-36 health survey questionnaire suitable as a self-report measure of the health status of older adults with Parkinson’s disease? Quality of Life Research, 6, 213–216.PubMedCrossRef Hobson, J. P., & Meara, R. J. (1997). Is the SF-36 health survey questionnaire suitable as a self-report measure of the health status of older adults with Parkinson’s disease? Quality of Life Research, 6, 213–216.PubMedCrossRef
14.
go back to reference O’Mahony, P. G., Rodgers, H., Thomson, R. G., et al. (1998). Is the SF-36 suitable for assessing health status of older stroke patients? Age and Ageing, 27, 19–22.PubMedCrossRef O’Mahony, P. G., Rodgers, H., Thomson, R. G., et al. (1998). Is the SF-36 suitable for assessing health status of older stroke patients? Age and Ageing, 27, 19–22.PubMedCrossRef
15.
go back to reference Stadnyk, K., Calder, J., & Rockwood, K. (1998). Testing the measurement properties of the Short Form-36 Health Survey in a frail elderly population. Journal of Clinical Epidemiology, 51, 827–835.PubMedCrossRef Stadnyk, K., Calder, J., & Rockwood, K. (1998). Testing the measurement properties of the Short Form-36 Health Survey in a frail elderly population. Journal of Clinical Epidemiology, 51, 827–835.PubMedCrossRef
16.
go back to reference Walters, S. J., Munro, J. F., & Brazier, J. E. (2001). Using the SF-36 with older adults: A cross-sectional community-based survey. Age and Ageing, 30, 337–343.PubMedCrossRef Walters, S. J., Munro, J. F., & Brazier, J. E. (2001). Using the SF-36 with older adults: A cross-sectional community-based survey. Age and Ageing, 30, 337–343.PubMedCrossRef
17.
go back to reference Sprangers, M. A. G., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515.PubMedCrossRef Sprangers, M. A. G., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515.PubMedCrossRef
18.
go back to reference Ware, J. E., Jr. (1998). Gandek B: Methods for testing data quality, scaling assumptions, and reliability: the IQOLA Project approach. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 945–952.PubMedCrossRef Ware, J. E., Jr. (1998). Gandek B: Methods for testing data quality, scaling assumptions, and reliability: the IQOLA Project approach. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 945–952.PubMedCrossRef
19.
go back to reference Meng, H., Wamsley, B. R., Friedman, B., et al. (2010). Impact of body mass index on the effectiveness of a disease management-health promotion intervention on disability status. American Journal of Health Promotion, 24, 214–222.PubMedCrossRef Meng, H., Wamsley, B. R., Friedman, B., et al. (2010). Impact of body mass index on the effectiveness of a disease management-health promotion intervention on disability status. American Journal of Health Promotion, 24, 214–222.PubMedCrossRef
20.
go back to reference Morris, J. N., Fries, B. E., Mehr, D. R., et al. (1994). MDS Cognitive Performance Scale. The Journal of Gerontology, 49, M174–M182.CrossRef Morris, J. N., Fries, B. E., Mehr, D. R., et al. (1994). MDS Cognitive Performance Scale. The Journal of Gerontology, 49, M174–M182.CrossRef
21.
go back to reference Cureton, E. E. (1966). Corrected item-test correlations. Psychometrika, 31, 93–96.CrossRef Cureton, E. E. (1966). Corrected item-test correlations. Psychometrika, 31, 93–96.CrossRef
22.
go back to reference Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef
23.
go back to reference Lim, L. L., Seubsman, S. A., & Sleigh, A. (2008). Thai SF-36 health survey: tests of data quality, scaling assumptions, reliability and validity in healthy men and women. Health and Quality of Life Outcomes, 6, 52.PubMedCrossRef Lim, L. L., Seubsman, S. A., & Sleigh, A. (2008). Thai SF-36 health survey: tests of data quality, scaling assumptions, reliability and validity in healthy men and women. Health and Quality of Life Outcomes, 6, 52.PubMedCrossRef
24.
go back to reference Keller, S. D., Ware, J. E., Jr, Bentler, P. M., et al. (1998). Use of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 1179–1188.PubMedCrossRef Keller, S. D., Ware, J. E., Jr, Bentler, P. M., et al. (1998). Use of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 1179–1188.PubMedCrossRef
25.
go back to reference Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230–258.CrossRef Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230–258.CrossRef
26.
go back to reference Millsap, R. (2011). Statistical approaches to measurement invariance. New York: Routledge. Millsap, R. (2011). Statistical approaches to measurement invariance. New York: Routledge.
27.
go back to reference King-Kallimanis, B. L., Oort, F. J., Nolte, S., et al. (2011). Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients. Quality of Life Research, 20, 1527–1540.PubMedCrossRef King-Kallimanis, B. L., Oort, F. J., Nolte, S., et al. (2011). Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients. Quality of Life Research, 20, 1527–1540.PubMedCrossRef
28.
go back to reference Holms, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 65–70. Holms, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6, 65–70.
29.
go back to reference Ware, J., & Kosinski, M. (2001). SF-36 Physical and Mental Health Summary Scales: A manual for users of version 1 (2nd ed.). Lincoln, RI: QualityMetric Inc. Ware, J., & Kosinski, M. (2001). SF-36 Physical and Mental Health Summary Scales: A manual for users of version 1 (2nd ed.). Lincoln, RI: QualityMetric Inc.
30.
go back to reference Oort, F. J., Visser, M. R., & Sprangers, M. A. (2005). An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Quality of Life Research, 14, 599–609.PubMedCrossRef Oort, F. J., Visser, M. R., & Sprangers, M. A. (2005). An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Quality of Life Research, 14, 599–609.PubMedCrossRef
31.
go back to reference McHorney, C. A., Ware, J. E., Jr, Lu, J. F., et al. (1994). The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32, 40–66.PubMedCrossRef McHorney, C. A., Ware, J. E., Jr, Lu, J. F., et al. (1994). The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32, 40–66.PubMedCrossRef
32.
go back to reference Gandek, B., Sinclair, S. J., Kosinski, M., et al. (2004). Psychometric evaluation of the SF-36 health survey in Medicare managed care. Health Care Financing Review, 25, 5–25.PubMed Gandek, B., Sinclair, S. J., Kosinski, M., et al. (2004). Psychometric evaluation of the SF-36 health survey in Medicare managed care. Health Care Financing Review, 25, 5–25.PubMed
33.
go back to reference Ware, J. E., Kosinski, M., & Dewey, J. E. (2000). How to score version 2 of the SF-36 Health Survey. Lincoln, RI: QualityMetric Inc. Ware, J. E., Kosinski, M., & Dewey, J. E. (2000). How to score version 2 of the SF-36 Health Survey. Lincoln, RI: QualityMetric Inc.
34.
go back to reference McHorney, C. A. (1996). Measuring and monitoring general health status in elderly persons: Practical and methodological issues in using the SF-36 Health Survey. Gerontologist, 36, 571–583.PubMedCrossRef McHorney, C. A. (1996). Measuring and monitoring general health status in elderly persons: Practical and methodological issues in using the SF-36 Health Survey. Gerontologist, 36, 571–583.PubMedCrossRef
35.
go back to reference Alonso, J., Ferrer, M., Gandek, B., et al. (2004). Health-related quality of life associated with chronic conditions in eight countries: Results from the International Quality of Life Assessment (IQOLA) Project. Quality of Life Research, 13, 283–298.PubMedCrossRef Alonso, J., Ferrer, M., Gandek, B., et al. (2004). Health-related quality of life associated with chronic conditions in eight countries: Results from the International Quality of Life Assessment (IQOLA) Project. Quality of Life Research, 13, 283–298.PubMedCrossRef
36.
go back to reference Banks, P., Martin, C. R., & Petty, R. K. (2012). The factor structure of the SF-36 in adults with progressive neuromuscular disorders. Journal of Evaluation Clinical Practice, 18, 32–36.CrossRef Banks, P., Martin, C. R., & Petty, R. K. (2012). The factor structure of the SF-36 in adults with progressive neuromuscular disorders. Journal of Evaluation Clinical Practice, 18, 32–36.CrossRef
Metagegevens
Titel
Measurement bias of the SF-36 Health Survey in older adults with chronic conditions
Auteurs
Hongdao Meng
Bellinda L. King-Kallimanis
Amber Gum
Brenda Wamsley
Publicatiedatum
01-11-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 9/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-013-0373-1

Andere artikelen Uitgave 9/2013

Quality of Life Research 9/2013 Naar de uitgave