Suppr超能文献

评价初级保健医生的注意力转换和电子收件箱工作持续时间。

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians.

机构信息

Division of Research, Kaiser Permanente Northern California, Oakland.

The Permanente Medical Group, Oakland, California.

出版信息

JAMA Netw Open. 2021 Jan 4;4(1):e2031856. doi: 10.1001/jamanetworkopen.2020.31856.

Abstract

IMPORTANCE

Primary care physicians (PCPs) report multitasking during workdays while processing electronic inbox messages, but scant systematic information exists on attention switching and its correlates in the health care setting.

OBJECTIVES

To describe PCPs' frequency of attention switching associated with electronic inbox work, identify potentially modifiable factors associated with attention switching and inbox work duration, and compare the relative association of attention switching and other factors with inbox work duration.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study of the work of 1275 PCPs in an integrated group serving 4.5 million patients used electronic health record (EHR) access logs from March 1 to 31, 2018, to evaluate PCPs' frequency of attention switching. Statistical analysis was performed from October 15, 2018, to August 28, 2020.

MAIN OUTCOMES AND MEASURES

Attention switching was defined as switching between the electronic inbox, other EHR work, and non-EHR periods. Inbox work duration included minutes spent on electronic inbox message views and related EHR tasks. Multivariable models controlled for the exposures.

RESULTS

The 1275 PCPs studied (721 women [56.5%]; mean [SD] age, 45.9 [8.5] years) had a mean (SD) of 9.0 (7.6) years of experience with the medical group and received a mean (SD) of 332.6 (148.3) (interquartile range, 252-418) new inbox messages weekly. On workdays, PCPs made a mean (SD) of 79.4 (21.8) attention switches associated with inbox work and did a mean (SD) 64.2 (18.7) minutes of inbox work over the course of 24 hours on workdays. In the model for attention switching, each additional patient secure message beyond the reference value was associated with 0.289 (95% CI, 0.217-0.362) additional switches, each additional results message was associated with 0.203 (95% CI, 0.127-0.278) additional switches, each additional request message was associated with 0.190 (95% CI, 0.124-0.257) additional switches, and each additional administrative message was associated with 0.262 (95% CI, 0.166-0.358) additional switches. Having a panel (a list of patients assigned to a primary care team) with more elderly patients (0.144 switches per percentage increase [95% CI, 0.009-0.278]) and higher inbox work duration (0.468 switches per additional minute of inbox work [95% CI, 0.411-0.524]) were also associated with higher attention switching involving the inbox. In the model for inbox work duration, each additional patient secure message beyond the reference value was associated with 0.151 (95% CI, 0.085-0.217) additional minutes, each additional results message was associated with 0.338 (95% CI, 0.272-0.404) additional minutes, each additional request message was associated with 0.101 (95% CI, 0.041-0.161) additional minutes, and each additional administrative message was associated with 0.179 (95% CI, 0.093-0.265) additional minutes. A higher percentage of the panel's patients initiating messages (0.386 minutes per percentage increase [95% CI, 0.026-0.745]) and attention switches (0.373 minutes per switch [95% CI, 0.328-0.419]) were also associated with higher inbox work duration. In addition, working at a medical center where all PCPs had high inbox work duration was independently associated with high or low inbox work duration.

CONCLUSIONS AND RELEVANCE

This study suggests that PCPs make frequent attention switches during workdays while processing electronic inbox messages. Message quantity was associated with both attention switching and inbox work duration. Physician and patient panel characteristics had less association with attention switching and inbox work duration. Assisting PCPs with message quantity might help modulate both attention switching and inbox work duration.

摘要

重要性

初级保健医生(PCP)在处理电子收件箱信息时报告在工作日中同时进行多项任务,但关于在医疗环境中注意力切换及其相关性的系统信息很少。

目的

描述 PCP 与电子收件箱工作相关的注意力切换频率,确定与注意力切换和收件箱工作时长相关的潜在可修改因素,并比较注意力切换和其他因素与收件箱工作时长的相对关联。

设计、设置和参与者:这项对 1275 名在为 450 万患者提供服务的一体化医疗组工作的初级保健医生的横断面研究使用电子健康记录(EHR)访问日志,于 2018 年 3 月 1 日至 31 日评估 PCP 注意力切换的频率。统计分析于 2018 年 10 月 15 日至 2020 年 8 月 28 日进行。

主要结局和测量

注意力切换定义为在电子收件箱、其他 EHR 工作和非 EHR 期间之间进行切换。收件箱工作时长包括查看电子收件箱消息和相关 EHR 任务所花费的分钟数。多变量模型控制了暴露因素。

结果

研究的 1275 名 PCP(721 名女性[56.5%];平均[SD]年龄,45.9[8.5]岁)的平均(SD)医疗组经验为 9.0(7.6)年,每周平均(SD)接收 332.6(148.3)(四分位距,252-418)条新收件箱消息。在工作日,PCP 平均(SD)进行 79.4(21.8)次与收件箱工作相关的注意力切换,在工作日的 24 小时内进行 64.2(18.7)分钟的收件箱工作。在注意力切换模型中,除参考值之外的每个额外患者安全消息与额外的 0.289(95%CI,0.217-0.362)次切换相关,每个额外的结果消息与额外的 0.203(95%CI,0.127-0.278)次切换相关,每个额外的请求消息与额外的 0.190(95%CI,0.124-0.257)次切换相关,每个额外的管理消息与额外的 0.262(95%CI,0.166-0.358)次切换相关。拥有一个更老年患者(每增加 1%,则有 0.144 次切换[95%CI,0.009-0.278])和更高收件箱工作时长(每增加 1 分钟收件箱工作时长,有 0.468 次切换[95%CI,0.411-0.524])的患者列表与更高的涉及收件箱的注意力切换相关。在收件箱工作时长模型中,除参考值之外的每个额外患者安全消息与额外的 0.151(95%CI,0.085-0.217)分钟相关,每个额外的结果消息与额外的 0.338(95%CI,0.272-0.404)分钟相关,每个额外的请求消息与额外的 0.101(95%CI,0.041-0.161)分钟相关,每个额外的管理消息与额外的 0.179(95%CI,0.093-0.265)分钟相关。启动消息的患者百分比(每增加 1%,则有 0.386 分钟[95%CI,0.026-0.745])和注意力切换(每切换一次有 0.373 分钟[95%CI,0.328-0.419])的增加也与更高的收件箱工作时长相关。此外,在所有 PCP 收件箱工作时长较高的医疗中心工作与高或低收件箱工作时长相关。

结论和相关性

这项研究表明,PCP 在工作日处理电子收件箱信息时会频繁进行注意力切换。消息数量与注意力切换和收件箱工作时长都有关。医生和患者小组的特征与注意力切换和收件箱工作时长的相关性较小。帮助 PCP 处理消息数量可能有助于调节注意力切换和收件箱工作时长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2332/7821028/77a36296ba6d/jamanetwopen-e2031856-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验