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Factors Affecting Older Adult Proficiency in Using an Electronic Personal Health Record

机译:影响老年人使用电子个人健康记录的能力的因素

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摘要

Given the call to reform health care to improve quality of care and integration of new technology, this study examined participants' proficiency in entering health information into an electronic personal health record (ePHR) via computer interface. While current research has focused on adoption rates and satisfaction, examination of live-demonstration ePHR use and factors related to ePHR proficiency have not been undertaken.;This study examined live-demonstration ePHR use with 50 community-dwelling, English-speaking adults age 55 years and older. During their one visit, participants provided self-report data (demographics, perceived computer experience and computer competence), visual acuity and mild cognitive impairment were assessed. Participants were provided a standard set of data to enter into a computer-based ePHR. Outcome data (accuracy, completeness, elapsed time and help requests) measured ePHR proficiency. Automatic linear modeling identified three variables as primarily related to electronic personal health record proficiency: Age, Computer Competency, and Mental Status and accounted for 52% of variability in electronic personal health record data entry proficiency. Path modeling identified the variables Age (--.41 p = .01), Daily Computer Use (--.31 p = .05), and Computer Competence (.34 p = .03), as having significant direct effects on ePHR proficiency. These findings present factors that may influence ePHR use by older adults and an algorithm to inform healthcare practitioners in promotion of older adults ePHR use was presented.
机译:鉴于要求改革医疗保健以提高医疗质量和整合新技术的要求,本研究研究了参与者通过计算机界面将健康信息输入电子个人健康记录(ePHR)的熟练程度。虽然目前的研究集中在收养率和满意度上,但尚未进行现场演示ePHR的使用以及与ePHR能力相关的因素的研究;该研究在50位55岁,英语为英语的社区居住成年人中检查了现场ePHR的使用岁以上。在他们的一次访问中,参与者提供了自我报告数据(人口统计学,感知的计算机体验和计算机能力),评估了视敏度和轻度认知障碍。为参与者提供了一组标准数据,可输入基于计算机的ePHR。结果数据(准确性,完整性,经过的时间和帮助请求)衡量了ePHR的熟练程度。自动线性建模确定了三个主要与电子个人健康记录熟练程度相关的变量:年龄,计算机能力和心理状态,并且占电子个人健康记录数据输入熟练程度变异的52%。路径建模确定变量Age(-。41 p = .01),Daily Computer Use(-。31 p = .05)和Computer Competence(.34 p = .03)对ePHR具有明显的直接影响熟练程度。这些发现提出了可能影响老年人使用ePHR的因素,并提出了一种告知医疗从业人员促进老年人ePHR使用的算法。

著录项

  • 作者

    Evans, Beth A.;

  • 作者单位

    University of Arkansas for Medical Sciences.;

  • 授予单位 University of Arkansas for Medical Sciences.;
  • 学科 Nursing.;Information technology.;Gerontology.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 80 p.
  • 总页数 80
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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