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Published in: Health and Quality of Life Outcomes 1/2020

Open Access 01-12-2020 | Research

Evidence for measurement bias of the short form health survey based on sex and metropolitan influence zone in a secondary care population

Authors: Jake Ursenbach, Megan E. O’Connell, Andrew Kirk, Debra Morgan

Published in: Health and Quality of Life Outcomes | Issue 1/2020

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Abstract

Background and objectives

The 12-item Short Form Health Survey (SF-12) is a widely used measure of health related quality of life, but has been criticized for lacking an empirically supported model and producing biased estimates of mental and physical health status for some groups. We explored a model of measurement with the SF-12 and explored evidence for measurement invariance of the SF-12.

Research design and methods

The SF-12 was completed by 429 caregivers who accompanied patients with cognitive concerns to a memory clinic designed to service rural/remote-dwelling individuals. A multi-group confirmatory factor analysis was used to compare the theoretical measurement model to two empirically identified factor models reported previously in general population studies.

Results

A model that allowed mental and physical health to correlate, and some items to cross-load provided the best fit to the data. Using that model, measurement invariance was then assessed across sex and metropolitan influence zone (MIZ; a standardized measure of degree of rurality).

Discussion

Partial scalar invariance was demonstrated in both analyses. Differences by sex in latent item intercepts were found for items assessing feelings of energy and depression. Differences by MIZ in latent item intercepts were found for an item concerning how current health limits activities.

Implications

The fitting model was one where the mental and physical health subscales were correlated, which is not provided in the scoring program offered by the publishers. Participants’ sex and MIZ should be accounted for when comparing their factor scores on the SF-12. Additionally, consideration of geographic residence and associated cultural influences is recommended in future development and use of psychological measures with such populations.
Literature
3.
go back to reference Ware J, Kosinski M, Keller S. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33. Ware J, Kosinski M, Keller S. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.
4.
go back to reference Hawthorne G, Osborne RH, Taylor A, et al. The SF-36 version 2: critical analyses of weights, scoring algorithms and population norms. Qual Life Res. 2007;16(661):73. Hawthorne G, Osborne RH, Taylor A, et al. The SF-36 version 2: critical analyses of weights, scoring algorithms and population norms. Qual Life Res. 2007;16(661):73.
5.
go back to reference Harrell FE. Regression modeling strategies: With applications to linear models, logistic regression, and survival analysis (Second edition). New York: Springer; 2015. Harrell FE. Regression modeling strategies: With applications to linear models, logistic regression, and survival analysis (Second edition). New York: Springer; 2015.
6.
go back to reference Hagell P, Westergren A, Årestedt K. Beware of the origin of numbers: standard scoring of the SF-12 and SF-36 summary measures distorts measurement and score interpretations. Res Nurs Health. 2017;40(4):378–86. Hagell P, Westergren A, Årestedt K. Beware of the origin of numbers: standard scoring of the SF-12 and SF-36 summary measures distorts measurement and score interpretations. Res Nurs Health. 2017;40(4):378–86.
9.
go back to reference Amir M, Lewin-Epstein N, Becker G, Buskila D. Psychometric properties of the SF-12 (Hebrew version) in a primary care population in Israel. Med Care. 2002;40(10):918–28. Amir M, Lewin-Epstein N, Becker G, Buskila D. Psychometric properties of the SF-12 (Hebrew version) in a primary care population in Israel. Med Care. 2002;40(10):918–28.
11.
go back to reference Salyers MP, Bosworth HB, Swanson JW, Lamb-Pagone J, Osher FC. Reliability and validity of the SF-12 health survey among people with severe mental illness. Med Care. 2000;38(11):1141–50. Salyers MP, Bosworth HB, Swanson JW, Lamb-Pagone J, Osher FC. Reliability and validity of the SF-12 health survey among people with severe mental illness. Med Care. 2000;38(11):1141–50.
16.
go back to reference Windsor TD, Rodgers B, Butterworth P, Anstey KJ, Jorm AF. Measuring physical and mental health using the SF-12: implications for community surveys of mental health. Aust N Z J Psychiatry. 2006;40(9):797–803. Windsor TD, Rodgers B, Butterworth P, Anstey KJ, Jorm AF. Measuring physical and mental health using the SF-12: implications for community surveys of mental health. Aust N Z J Psychiatry. 2006;40(9):797–803.
18.
go back to reference Millsap R. Statistical approaches to measurement invariance. New York: Routledge; 2011. Millsap R. Statistical approaches to measurement invariance. New York: Routledge; 2011.
20.
go back to reference Hagell P, Westergren A. Measurement properties of the SF-12 health survey in Parkinson’s disease. J Park Dis. 2011;1(2):185–96. Hagell P, Westergren A. Measurement properties of the SF-12 health survey in Parkinson’s disease. J Park Dis. 2011;1(2):185–96.
23.
go back to reference Gadermann AM, Sawatzky R, Palepu A, Hubley AM, Zumbo BD, Aubry T, et al. Minimal impact of response shift for SF-12 mental and physical health status in homeless and vulnerably housed individuals: an item-level multi-group analysis. Qual Life Res. 2017;26(6):1463–72. https://doi.org/10.1007/s11136-016-1464-6. Gadermann AM, Sawatzky R, Palepu A, Hubley AM, Zumbo BD, Aubry T, et al. Minimal impact of response shift for SF-12 mental and physical health status in homeless and vulnerably housed individuals: an item-level multi-group analysis. Qual Life Res. 2017;26(6):1463–72. https://​doi.​org/​10.​1007/​s11136-016-1464-6.
25.
go back to reference Arcury TA, Preisser JS, Gesler WM, Powers JM. Access to transportation and health care utilization in a rural region. J Rural Health. 2005;21(1):31–8. Arcury TA, Preisser JS, Gesler WM, Powers JM. Access to transportation and health care utilization in a rural region. J Rural Health. 2005;21(1):31–8.
26.
go back to reference Hartley D. Rural health disparities, population health, and rural culture. Am J Public Health. 2004;94(10):1675–8. Hartley D. Rural health disparities, population health, and rural culture. Am J Public Health. 2004;94(10):1675–8.
27.
go back to reference Wagonfeld MO. A snapshot of rural and frontier America. In: Stamm BH, editor. Rural behavioral health care: An interdisciplinary guide. Washington, DC: American Psychological Association; 2003. Wagonfeld MO. A snapshot of rural and frontier America. In: Stamm BH, editor. Rural behavioral health care: An interdisciplinary guide. Washington, DC: American Psychological Association; 2003.
28.
go back to reference Fischer C. Toward a subcultural theory of urbanism. Am J Sociol. 1975;80(6):1319–41. Fischer C. Toward a subcultural theory of urbanism. Am J Sociol. 1975;80(6):1319–41.
29.
go back to reference Tittle CR, Grasmick HG. Urbanity: influences of urbanness, structure, and culture. Soc Sci Res. 2001;30(2):313–35. Tittle CR, Grasmick HG. Urbanity: influences of urbanness, structure, and culture. Soc Sci Res. 2001;30(2):313–35.
30.
go back to reference Wirth L. Urbanism as a way of life. In R. Sennett (Ed.), Classic essays on the culture of cities (1969; pp. 143–164). New York: Appleton–Century–Crofts; 1938. Wirth L. Urbanism as a way of life. In R. Sennett (Ed.), Classic essays on the culture of cities (1969; pp. 143–164). New York: Appleton–Century–Crofts; 1938.
32.
go back to reference Larson CO, Schlundt D, Patel K, Beard K, Hargreaves M. Validity of the SF-12 for use in a low-income African American community-based research initiative (REACH 2010). 2008;5(2):14. Larson CO, Schlundt D, Patel K, Beard K, Hargreaves M. Validity of the SF-12 for use in a low-income African American community-based research initiative (REACH 2010). 2008;5(2):14.
36.
go back to reference Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83(404):1198. Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83(404):1198.
40.
go back to reference Rutkowski L, Svetina D. Measurement invariance in international surveys Categorical indicators and fit measure performance. Appl Meas Educ. 2017;30(1):39–51. Rutkowski L, Svetina D. Measurement invariance in international surveys Categorical indicators and fit measure performance. Appl Meas Educ. 2017;30(1):39–51.
Metadata
Title
Evidence for measurement bias of the short form health survey based on sex and metropolitan influence zone in a secondary care population
Authors
Jake Ursenbach
Megan E. O’Connell
Andrew Kirk
Debra Morgan
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2020
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-020-01318-y

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