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Primary Care Providers’ Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets

Overview of attention for article published in Journal of General Internal Medicine, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 news outlet
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29 X users
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1 Facebook page

Citations

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21 Dimensions

Readers on

mendeley
100 Mendeley
Title
Primary Care Providers’ Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets
Published in
Journal of General Internal Medicine, August 2017
DOI 10.1007/s11606-017-4146-3
Pubmed ID
Authors

Sarah L. Cutrona, Hassan Fouayzi, Laura Burns, Rajani S. Sadasivam, Kathleen M. Mazor, Jerry H. Gurwitz, Lawrence Garber, Devi Sundaresan, Thomas K. Houston, Terry S. Field

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 12%
Researcher 10 10%
Student > Bachelor 10 10%
Student > Ph. D. Student 9 9%
Other 6 6%
Other 20 20%
Unknown 33 33%
Readers by discipline Count As %
Medicine and Dentistry 28 28%
Nursing and Health Professions 12 12%
Social Sciences 5 5%
Computer Science 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 14 14%
Unknown 37 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2020.
All research outputs
#1,343,882
of 25,014,758 outputs
Outputs from Journal of General Internal Medicine
#1,078
of 8,094 outputs
Outputs of similar age
#26,617
of 322,952 outputs
Outputs of similar age from Journal of General Internal Medicine
#15
of 76 outputs
Altmetric has tracked 25,014,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.