Advanced

Measurement Properties of the SF-12 Health Survey in Parkinson's Disease

Hagell, Peter LU and Westergren, Albert (2011) In Journal of Parkinson's Disease 1(2). p.185-196
Abstract
The 12-item Short-Form Health Survey (SF-12) is an abbreviated version of the SF-36, one of the most widely used patient-reported health outcome rating scales. Similar to the SF-36, it yields summary scores of physical and mental health (PCS and MCS, respectively). However, SF-36 derived PCS and MCS scores have not been found valid in neurological disorders such as Parkinson's disease (PD). Here we used modern psychometric methodology (Rasch analysis) to test the SF-12 in PD, and explored the appropriateness of a total SF-12 score representing overall health. SF-12 data from 150 non-demented people with PD (56% men; mean age/PD-duration, 70/5 years) were analyzed regarding Rasch model fit for the PCS, MCS, as well as for the full SF-12.... (More)
The 12-item Short-Form Health Survey (SF-12) is an abbreviated version of the SF-36, one of the most widely used patient-reported health outcome rating scales. Similar to the SF-36, it yields summary scores of physical and mental health (PCS and MCS, respectively). However, SF-36 derived PCS and MCS scores have not been found valid in neurological disorders such as Parkinson's disease (PD). Here we used modern psychometric methodology (Rasch analysis) to test the SF-12 in PD, and explored the appropriateness of a total SF-12 score representing overall health. SF-12 data from 150 non-demented people with PD (56% men; mean age/PD-duration, 70/5 years) were analyzed regarding Rasch model fit for the PCS, MCS, as well as for the full SF-12. Data showed some signs of misfit to the Rasch model for all three scales (overall item-trait interaction, P >= 0.003; reliability, >= 0.85). For example, all scales exhibited signs of dependency between item responses, and the PCS measured with relatively low precision. Model fit (but not measurement precision) was improved following deletion of one PCS and one MCS item (overall item-trait interaction, P >= 0.387; reliability, >= 0.82). These observations suggest that the SF-12 can be used as a coarse health survey tool in PD and that a total SF-12 may be useful as a measure of overall health. However, its appropriateness as an outcome measure can be questioned and it is somewhat unclear exactly what the derived scores represent. As such, the SF-12 should probably be considered an assessment tool (or index) rather than a measurement instrument. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Health status, outcome assessment, Parkinson disease, psychometrics
in
Journal of Parkinson's Disease
volume
1
issue
2
pages
185 - 196
publisher
IOS Press
external identifiers
  • wos:000308482400006
  • scopus:80054872811
ISSN
1877-718X
DOI
10.3233/JPD-2011-11026
language
English
LU publication?
yes
id
c9515eb0-ad56-43ba-82c3-866e8c30e72e (old id 3470399)
date added to LUP
2013-03-01 07:44:50
date last changed
2017-10-08 03:08:27
@article{c9515eb0-ad56-43ba-82c3-866e8c30e72e,
  abstract     = {The 12-item Short-Form Health Survey (SF-12) is an abbreviated version of the SF-36, one of the most widely used patient-reported health outcome rating scales. Similar to the SF-36, it yields summary scores of physical and mental health (PCS and MCS, respectively). However, SF-36 derived PCS and MCS scores have not been found valid in neurological disorders such as Parkinson's disease (PD). Here we used modern psychometric methodology (Rasch analysis) to test the SF-12 in PD, and explored the appropriateness of a total SF-12 score representing overall health. SF-12 data from 150 non-demented people with PD (56% men; mean age/PD-duration, 70/5 years) were analyzed regarding Rasch model fit for the PCS, MCS, as well as for the full SF-12. Data showed some signs of misfit to the Rasch model for all three scales (overall item-trait interaction, P >= 0.003; reliability, >= 0.85). For example, all scales exhibited signs of dependency between item responses, and the PCS measured with relatively low precision. Model fit (but not measurement precision) was improved following deletion of one PCS and one MCS item (overall item-trait interaction, P >= 0.387; reliability, >= 0.82). These observations suggest that the SF-12 can be used as a coarse health survey tool in PD and that a total SF-12 may be useful as a measure of overall health. However, its appropriateness as an outcome measure can be questioned and it is somewhat unclear exactly what the derived scores represent. As such, the SF-12 should probably be considered an assessment tool (or index) rather than a measurement instrument.},
  author       = {Hagell, Peter and Westergren, Albert},
  issn         = {1877-718X},
  keyword      = {Health status,outcome assessment,Parkinson disease,psychometrics},
  language     = {eng},
  number       = {2},
  pages        = {185--196},
  publisher    = {IOS Press},
  series       = {Journal of Parkinson's Disease},
  title        = {Measurement Properties of the SF-12 Health Survey in Parkinson's Disease},
  url          = {http://dx.doi.org/10.3233/JPD-2011-11026},
  volume       = {1},
  year         = {2011},
}