Evidence map›Paper›PMID 18440918›Full record

ArticleJournal of medical Internet research2008

Assessing patient attitudes to computerized screening in primary care: psychometric properties of the computerized lifestyle assessment scale.

Farah Ahmad, Sheilah Hogg-Johnson, Harvey A Skinner

Abstract readEvaluation Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Screening women for intimate partner violence in healthcare settings.The Cochrane database of systematic reviews · 2015
    Pooled it
  2. Trial
  3. Article
  4. Burden of common mental disorders in a community health centre sample.Canadian family physician Medecin de famille canadien · 2016
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 · 2010
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Farah AhmadCentre for Research on Inner City Health, St. Michael's Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada. ahmadf@smh.toronto.on.ca
Sheilah Hogg-Johnson
Harvey A Skinner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Knowledge, Attitudes, PracticePatient ParticipationPatient SatisfactionSurveys and QuestionnairesAdultAgedAged, 80 and overDiagnosis, Computer-AssistedFemaleHumansLife StyleMass ScreeningMiddle AgedPrimary Health CarePsychometricsQualitative Research

Identifiers

PMID18440918
PMCPMC2483923

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.