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T-Space at The University of Toronto Libraries >
Journal of Medical Internet Research >
Volume 10 (2008)  >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/16665


Title: Assessing Patient Attitudes to Computerized Screening in Primary Care: Psychometric Properties of the Computerized Lifestyle Assessment Scale
Authors: Ahmad, Farah
Hogg-Johnson, Sheilah
Skinner, Harvey A
Eysenbach, Gunther
Keywords: Original Paper
Computers
scale
psychometric
screening
risk assessment
family practice
Issue Date: 18-Apr-2008
Publisher: Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada
Citation: Farah Ahmad, Sheilah Hogg-Johnson, Harvey A Skinner. Assessing Patient Attitudes to Computerized Screening in Primary Care: Psychometric Properties of the Computerized Lifestyle Assessment Scale. J Med Internet Res 2008;10(2):e11 <URL: http://www.jmir.org/2008/2/e11/>
Abstract: [This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2008/2/e11/ ] Background: Computer-based health-risk assessments are electronic surveys which can be completed by patients privately, for example during their waiting time in a clinic, generating a risk report for the clinician and a recommendation sheet for the patient at the point of care. Despite increasing popularity of such computer-based health-risk assessments, patient attitudes toward such tools are rarely evaluated by reliable and valid scales. The lack of psychometric appraisal of appropriate scales is an obstacle to advancing the field. Objective: This study evaluated the psychometric properties of a 14-item Computerized Lifestyle Assessment Scale (CLAS). Methods: Out of 212 female patients receiving the study information at a family practice clinic, 202 completed a paper questionnaire, for a response rate of 97.6%. After 2 weeks, 52 patients completed the scale a second time. Results: Principal component analysis revealed that CLAS is a multidimensional scale consisting of four subscales (factors): (1) Benefits: patient-perceived benefits toward the quality of medical consultation and means of achieving them, (2) Privacy-Barrier: concerns about information privacy, (3) Interaction-Barrier: concerns about potential interference in their interaction with the physician, and (4) Interest: patient interest in computer-assisted health assessments. Each subscale had good internal consistency reliability ranging from .50 (2-item scale) to .85 (6-item scale). The study also provided evidence of scale stability over time with intraclass correlation coefficients of .91, .82, .86, and .67 for the four subscales, respectively. Construct validity was supported by concurrent hypotheses testing. Conclusions: The CLAS is a promising approach for evaluating patients’ attitudes toward computer-based health-risk assessments.
Description: Reviewer: Vallejo Pareja, Miguel Angel
Reviewer: Nichols, Laura
Reviewer: Bendtsen, Preben
URI: http://dx.doi.org/ 10.2196/jmir.955
http://hdl.handle.net/1807/16665
ISSN: 1438-8871
Rights: © Farah Ahmad, Sheilah Hogg-Johnson, Harvey A Skinner. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.04.2008. Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 1) the original work is properly cited, including full bibliographic details and the original article URL on www.jmir.org, and 2) this statement is included.
Appears in Collections:Volume 10 (2008)

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