Measurement properties of the 12-item Short Form Health Survey version 2 in Australians with lung cancer: a Rasch analysis.


Journal

Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626

Informations de publication

Date de publication:
31 May 2021
Historique:
received: 10 10 2019
accepted: 21 05 2021
entrez: 1 6 2021
pubmed: 2 6 2021
medline: 11 6 2021
Statut: epublish

Résumé

The 12-item Short-Form Health Survey version 2 (SF-12v2), a widely used, generic patient-reported measure of health status that provides summary scores of physical and mental health. No study to date has examined the measurement properties of the SF-12v2 in patients with lung cancer using Rasch analysis. The aim of this study was to extend the psychometric evaluations of the SF-12 within the lung cancer population to ensure its validity and reliability to assess the health status in this population. Participants in the Victorian Lung Cancer Registry (VLCR) who completed the SF-12v2 between 2012 and 2016 were included in this study. The structural validity of the SF-12v2 was assessed using Rasch analysis. Overall fit to the Rasch measurement model was examined as well as five key measurement properties: uni-dimensionality, response thresholds, internal consistency, measurement invariance and targeting. A total of 342 participants completed the SF-12v2 three months following their lung cancer diagnosis. The SF-12 Physical Component Score (PCS-12) did not fit the overall Rasch measurement model (χ Rasch analysis suggests that there is general support for the reliability of the SF-12v2 as a measure of physical and mental health in people with lung cancer. However, the appropriateness of some items (e.g. pain) in the PCS-12 is questionable and further refinement of the scale including changing the response options may be required to improve the ability of the SF-12v2 to more appropriately assess the health status of this population.

Sections du résumé

BACKGROUND BACKGROUND
The 12-item Short-Form Health Survey version 2 (SF-12v2), a widely used, generic patient-reported measure of health status that provides summary scores of physical and mental health. No study to date has examined the measurement properties of the SF-12v2 in patients with lung cancer using Rasch analysis. The aim of this study was to extend the psychometric evaluations of the SF-12 within the lung cancer population to ensure its validity and reliability to assess the health status in this population.
METHODS METHODS
Participants in the Victorian Lung Cancer Registry (VLCR) who completed the SF-12v2 between 2012 and 2016 were included in this study. The structural validity of the SF-12v2 was assessed using Rasch analysis. Overall fit to the Rasch measurement model was examined as well as five key measurement properties: uni-dimensionality, response thresholds, internal consistency, measurement invariance and targeting.
RESULTS RESULTS
A total of 342 participants completed the SF-12v2 three months following their lung cancer diagnosis. The SF-12 Physical Component Score (PCS-12) did not fit the overall Rasch measurement model (χ
CONCLUSIONS CONCLUSIONS
Rasch analysis suggests that there is general support for the reliability of the SF-12v2 as a measure of physical and mental health in people with lung cancer. However, the appropriateness of some items (e.g. pain) in the PCS-12 is questionable and further refinement of the scale including changing the response options may be required to improve the ability of the SF-12v2 to more appropriately assess the health status of this population.

Identifiants

pubmed: 34059079
doi: 10.1186/s12955-021-01794-w
pii: 10.1186/s12955-021-01794-w
pmc: PMC8165769
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

157

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Auteurs

Sze-Ee Soh (SE)

Department of Physiotherapy, Monash University, Melbourne, VIC, Australia. Sze-Ee.Soh@monash.edu.
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia. Sze-Ee.Soh@monash.edu.

Renata Morello (R)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Darshini Ayton (D)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Susannah Ahern (S)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Ri Scarborough (R)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Claire Zammit (C)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Margaret Brand (M)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Robert G Stirling (RG)

Department of Respiratory Medicine, The Alfred Hospital, Melbourne, VIC, Australia.
Department of Medicine, Monash University, Melbourne, VIC, Australia.

John Zalcberg (J)

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

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