Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA.
Quantitative Health Sciences and Medicine, Division of Health Informatics and Implementation Science, University of Massachusetts Medical School, Worcester, MA, USA.
J Gen Intern Med. 2017 Nov;32(11):1210-1219. doi: 10.1007/s11606-017-4146-3. Epub 2017 Aug 14.
Time-sensitive alerts are among the many types of clinical notifications delivered to physicians' secure InBaskets within commercial electronic health records (EHRs). A delayed alert review can impact patient safety and compromise care.
To characterize factors associated with opening of non-interruptive time-sensitive alerts delivered into primary care provider (PCP) InBaskets.
We analyzed data for 799 automated alerts. Alerts highlighted actionable medication concerns for older patients post-hospital discharge (2010-2011). These were study-generated alerts sent 3 days post-discharge to InBaskets for 75 PCPs across a multisite healthcare system, and represent a subset of all urgent InBasket notifications.
Using EHR access and audit logs to track alert opening, we performed bivariate and multivariate analyses calculating associations between patient characteristics, provider characteristics, contextual factors at the time of alert delivery (number of InBasket notifications, weekday), and alert opening within 24 h.
At the time of alert delivery, the PCPs had a median of 69 InBasket notifications and had received a median of 379.8 notifications (IQR 295.0, 492.0) over the prior 7 days. Of the 799 alerts, 47.1% were opened within 24 h. Patients with longer hospital stays (>4 days) were marginally more likely to have alerts opened (OR 1.48 [95% CI 1.00-2.19]). Alerts delivered to PCPs whose InBaskets had a higher number of notifications at the time of alert delivery were significantly less likely to be opened within 24 h (top quartile >157 notifications: OR 0.34 [95% CI 0.18-0.61]; reference bottom quartile ≤42). Alerts delivered on Saturdays were also less likely to be opened within 24 h (OR 0.18 [CI 0.08-0.39]).
The number of total InBasket notifications and weekend delivery may impact the opening of time-sensitive EHR alerts. Further study is needed to support safe and effective approaches to care team management of InBasket notifications.
时间敏感型警报是在商业电子健康记录 (EHR) 中发送给医生安全收件箱的众多临床通知类型之一。延迟警报审查会影响患者安全并影响护理质量。
描述与打开分配给初级保健提供者 (PCP) 收件箱的非中断时间敏感型警报相关的因素。
我们分析了 799 个自动警报的数据。警报突出显示了出院后老年患者的可操作药物问题(2010-2011 年)。这些是研究生成的警报,在出院后第 3 天发送到 75 名多站点医疗保健系统的 PCP 收件箱中,是所有紧急收件箱通知的一部分。
使用 EHR 访问和审核日志来跟踪警报打开情况,我们进行了单变量和多变量分析,计算了患者特征、提供者特征、警报发送时的上下文因素(收件箱通知数量、工作日)与 24 小时内警报打开之间的关联。
在警报发送时,PCP 的收件箱中位数为 69 个,在过去 7 天内中位数为 379.8 个(IQR 295.0,492.0)。在 799 个警报中,有 47.1%在 24 小时内打开。住院时间较长(>4 天)的患者更有可能打开警报(OR 1.48 [95% CI 1.00-2.19])。在发送警报时收件箱通知数量较高的 PCP 中,在 24 小时内打开警报的可能性明显降低(最高四分位数>157 个通知:OR 0.34 [95% CI 0.18-0.61];参考最低四分位数≤42 个通知)。在周六发送的警报也不太可能在 24 小时内打开(OR 0.18 [CI 0.08-0.39])。
收件箱通知总数和周末发送可能会影响时间敏感型 EHR 警报的打开。需要进一步研究以支持安全有效的方法来管理收件箱通知的护理团队。