@Article{信息:doi 10.2196 / / jmir。955，作者=“Ahmad, Farah和Hogg-Johnson, Sheilah和Skinner, Harvey A”，标题=“评估初级保健中患者对计算机筛选的态度:计算机化生活方式评估量表的心理测量特性”，期刊=“J Med Internet Res”，年=“2008”，月=“4”，日=“18”，卷=“10”，数=“2”，页=“e11”，关键词=“计算机;规模;心理;筛选;风险评估;背景:基于计算机的健康风险评估是一种电子调查，可以由患者私下完成，例如在诊所候诊期间，为临床医生生成一份风险报告，并为护理点的患者生成一份推荐表。尽管这种基于计算机的健康风险评估越来越受欢迎，但患者对这些工具的态度很少用可靠有效的量表来评估。缺乏合适的心理测量量表评价是该领域发展的障碍。目的:本研究评估14个项目的计算机化生活方式评估量表(CLAS)的心理测量特性。 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. ", issn="1438-8871", doi="10.2196/jmir.955", url="//www.mybigtv.com/2008/2/e11/", url="https://doi.org/10.2196/jmir.955", url="http://www.ncbi.nlm.nih.gov/pubmed/18440918" }