ArticleJournal of medical Internet research2008
Assessing patient attitudes to computerized screening in primary care: psychometric properties of the computerized lifestyle assessment scale.
Article in Journal of medical Internet research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Screening women for intimate partner violence in healthcare settings.The Cochrane database of systematic reviews · 2015Pooled it
- Perspectives of family physicians on computer-assisted health-risk assessments.Journal of medical Internet research · 2010Trial
- Barriers and facilitators of using health information technologies by women: a scoping review.BMC medical informatics and decision making · 2023Article
- Burden of common mental disorders in a community health centre sample.Canadian family physician Medecin de famille canadien · 2016Article
- Computer-assisted client assessment survey for mental health: patient and health provider perspectives.BMC health services research · 2016Article
- Adolescent reactions to icon-driven response modes in a tablet-based health screening tool.Computers, informatics, nursing : CIN · 2015Article
- Co-Creation With TickiT: Designing and Evaluating a Clinical eHealth Platform for Youth.JMIR research protocols · 2013Article
- Access to chronic disease care in general practice: the acceptability of implementing systematic waiting-room screening using computer-based patient-reported risk status.The British journal of general practice : the journal of the Royal College of General Practitioners · 2013Article
- Monitoring symptoms at home: what methods would cancer patients be comfortable using?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2010Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputer-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.
objectiveThis study evaluated the psychometric properties of a 14-item Computerized Lifestyle Assessment Scale (CLAS).
methodsOut 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.
resultsPrincipal 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.
conclusionsThe CLAS is a promising approach for evaluating patients' attitudes toward computer-based health-risk assessments.
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Registered trials
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