Evidence map›Paper›PMID 38232748›Full record

ArticleApplied clinical informatics2024

Randomized Comparison of Electronic Health Record Alert Types in Eliciting Responses about Prognosis in Gynecologic Oncology Patients.

Robert Clayton Musser, Rashaud Senior, Laura J Havrilesky, Jordan Buuck, David J Casarett, Salam Ibrahim, Brittany A Davidson

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Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Robert Clayton MusserDepartment of Medicine, Duke University Health System, Durham, North Carolina, United States.ORCID 0000-0002-7528-0970
Rashaud SeniorDuke Health Technology Solutions, Durham, North Carolina, United States.
Laura J HavrileskyDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Health System, Durham, North Carolina, United States.
Jordan BuuckDuke Health Technology Solutions, Durham, North Carolina, United States.
David J CasarettSection of Palliative Care, Department of Medicine, Duke University Health System, Durham, North Carolina, United States.
Salam IbrahimDuke Health Performance Services, Duke University Health System, Durham, North Carolina, United States.
Brittany A DavidsonDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Health System, Durham, North Carolina, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the ability of different electronic health record alert types to elicit responses from users caring for cancer patients benefiting from goals of care (GOC) conversations.

methodsA validated question asking if the user would be surprised by the patient's 6-month mortality was built as an Epic BestPractice Advisory (BPA) alert in three versions-(1) Required on Open chart (pop-up BPA), (2) Required on Close chart (navigator BPA), and (3) Optional Persistent (Storyboard BPA)-randomized using patient medical record number. Meaningful responses were defined as "Yes" or "No," rather than deferral. Data were extracted over 6 months.

resultsAlerts appeared for 685 patients during 1,786 outpatient encounters. Measuring encounters where a meaningful response was elicited, rates were highest for Required on Open (94.8% of encounters), compared with Required on Close (90.1%) and Optional Persistent (19.7%) (

conclusionRequired alerts had response rates almost five times higher than optional alerts. Timing of alerts affects rates of meaningful responses and possibly the response itself. The alert with the most meaningful responses was also associated with the most interruptions and deferral responses. Considering tradeoffs in these metrics is important in designing clinical decision support to maximize success.

Indexed as

Decision Support Systems, ClinicalGenital Neoplasms, FemaleMedical Order Entry SystemsCommunicationElectronic Health RecordsFemaleHumansPrognosis

Identifiers

PMID38232748
PMCPMC10937092

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.