用于循证糖尿病护理的患者直接信息自动收集
Automated direct-from-patient information collection for evidence-based diabetes care.
作者信息
Hunt D L, Haynes R B, Hayward R S, Pim M A, Horsman J
机构信息
Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
出版信息
Proc AMIA Annu Fall Symp. 1997:81-5.
BACKGROUND
Computer-based clinical decision support tools can improve physician performance in ambulatory care settings. Acquiring and entering the patient-specific information necessary to take advantage of this technology, however, can often be a major impediment.
OBJECTIVE
To develop and evaluate a self-administered electronic questionnaire for acquiring patient-specific information to be used for generating diabetes-related evidence-based care recommendations.
METHODS
An initial paper questionnaire was developed that evaluated current diabetes management, complications, and screening interventions. This was then coded for electronic presentation using software that can also analyze patient responses and produce personal feedback. To evaluate the electronic questionnaire, 47 patients completed it using a small laptop computer and also responded to a personal interview that assessed similar topics.
RESULTS
Patients required between 7-29 minutes to complete the questionnaire (mean: 15 min.). For 21 of the 23 topic assessed, the agreement between the electronic questionnaire and the personal interview was 80% or higher.
CONCLUSIONS
An electronic, self-administered questionnaire can be used to acquire information for generating patient-specific care recommendations.
背景
基于计算机的临床决策支持工具可提高门诊医疗环境中医师的工作表现。然而，获取并输入利用该技术所需的患者特定信息往往是一个主要障碍。
目的
开发并评估一种用于获取患者特定信息的自我管理电子问卷，以生成与糖尿病相关的循证护理建议。
方法
开发了一份初始纸质问卷，用于评估当前糖尿病管理、并发症及筛查干预措施。随后使用一款软件将其编码以便电子呈现，该软件还能分析患者回答并提供个人反馈。为评估电子问卷，47名患者使用小型笔记本电脑完成问卷，并接受有关类似主题的个人访谈。
结果
患者完成问卷所需时间为7至29分钟（平均15分钟）。在评估的23个主题中的21个主题上，电子问卷与个人访谈的一致性达到80%或更高。
结论
电子自我管理问卷可用于获取信息，以生成患者特定的护理建议。
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