反馈和培训工具改善医生使用电子病历提供的预防性护理:一项随机对照试验。

Heather Maddocks, Moira Stewart, Amardeep Thind, Amanda L Terry, Vijaya Chevendra, J Neil Marshall, Louisa Bestard Denomme, Sonny Cejic
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引用次数: 11

摘要

背景:电子病历(emr)有可能改善预防性保健的提供,因为它允许全科医生(gp)跟踪和召回符合条件的患者,并记录对其服务提供的反馈测试。目的:本研究评估了一种教育干预和反馈工具的效果,该工具旨在教导全科医生如何使用电子病历来改善他们提供的预防保健。方法:进行一项随机对照试验,比较干预前和干预后一年的乳房x光检查、巴氏试验、粪便隐血检查和白蛋白肌酐比率。根据全科医生的执业规模和经验,将代表3万多名患者的9个初级保健诊所(pcp)进行配对,并随机分配到干预组或对照组。四种干预做法的医生接受了两个小时的反馈会议,讨论他们目前的预防护理水平和培训,以便从他们的电子病历数据库中生成合格的预防服务患者名单。结果:干预后一年的结果没有提供差异的证据。干预并不是干预后一年四项测试中任何一项测试率的显著预测因子。平均而言,干预措施使所有测试的干预后测试率提高了16.8%,对照组提高了22.3%。结论:不显著的结果可能是由多种原因造成的,包括教育干预的强度水平,政府计划的共同干预,该计划为达到预防保健检测的特定目标的全科医生提供激励,或电子病历中进行的检测记录的水平。
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Feedback and training tool to improve provision of preventive care by physicians using EMRs: a randomised control trial.

Background: Electronic medical records (EMRs) have the potential to improve the provision of preventive care by allowing general practitioners (GPs) to track and recall eligible patients and record testing for feedback on their service provision.

Objective: This study evaluates the effect of an educational intervention and feedback tool designed to teach GPs how to use their EMRs to improve their provision of preventive care.

Methods: A randomised controlled trial comparing rates of mammography, Papanicolaou tests, faecal occult blood tests and albumin creatinine ratios one-year pre- and post-intervention was conducted. Nine primary care practices (PCPs) representing over 30 000 patients were paired by practice size and experience of GPs, and randomly allocated to intervention or control groups. Physicians at the four intervention practices received a two-hour feedback session on their current level of preventive care and training to generate eligible patient lists for preventive services from their EMR database.

Results: One-year post-intervention results provided no evidence of a difference. The intervention was not a significant predictor of the one-year postintervention test rates for any of the four tests. On average, the intervention practices increased postintervention test rates on all tests by 16.8%, and control practices increased by 22.3%.

Conclusion: The non-significant results may be due to a variety of reasons, including the level of intensity of the educational intervention, the cointervention of a government programme which provided incentives to GPs meeting specific targets for preventive care testing or the level of recording of tests performed in the EMR.

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