Provider Interaction With an Electronic Health Record Notification to Identify Eligible Patients for a Cluster Randomized Trial of Advance Care Planning in Primary Care: Secondary Analysis.

dc.contributor.author

Ma, Jessica E

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Lowe, Jared

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Berkowitz, Callie

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Kim, Azalea

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Togo, Ira

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Musser, R Clayton

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Fischer, Jonathan

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Shah, Kevin

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Ibrahim, Salam

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Bosworth, Hayden B

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Totten, Annette M

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Dolor, Rowena

dc.date.accessioned

2023-08-08T19:29:27Z

dc.date.available

2023-08-08T19:29:27Z

dc.date.issued

2023-05

dc.date.updated

2023-08-08T19:29:26Z

dc.description.abstract

Background

Advance care planning (ACP) improves patient-provider communication and aligns care to patient values, preferences, and goals. Within a multisite Meta-network Learning and Research Center ACP study, one health system deployed an electronic health record (EHR) notification and algorithm to alert providers about patients potentially appropriate for ACP and the clinical study.

Objective

The aim of the study is to describe the implementation and usage of an EHR notification for referring patients to an ACP study, evaluate the association of notifications with study referrals and engagement in ACP, and assess provider interactions with and perspectives on the notifications.

Methods

A secondary analysis assessed provider usage and their response to the notification (eg, acknowledge, dismiss, or engage patient in ACP conversation and refer patient to the clinical study). We evaluated all patients identified by the EHR algorithm during the Meta-network Learning and Research Center ACP study. Descriptive statistics compared patients referred to the study to those who were not referred to the study. Health care utilization, hospice referrals, and mortality as well as documentation and billing for ACP and related legal documents are reported. We evaluated associations between notifications with provider actions (ie, referral to study, ACP not documentation, and ACP billing). Provider free-text comments in the notifications were summarized qualitatively. Providers were surveyed on their satisfaction with the notification.

Results

Among the 2877 patients identified by the EHR algorithm over 20 months, 17,047 unique notifications were presented to 45 providers in 6 clinics, who then referred 290 (10%) patients. Providers had a median of 269 (IQR 65-552) total notifications, and patients had a median of 4 (IQR 2-8). Patients with more (over 5) notifications were less likely to be referred to the study than those with fewer notifications (57/1092, 5.2% vs 233/1785, 13.1%; P<.001). The most common free-text comment on the notification was lack of time. Providers who referred patients to the study were more likely to document ACP and submit ACP billing codes (P<.001). In the survey, 11 providers would recommend the notification (n=7, 64%); however, the notification impacted clinical workflow (n=9, 82%) and was difficult to navigate (n=6, 55%).

Conclusions

An EHR notification can be implemented to remind providers to both perform ACP conversations and refer patients to a clinical study. There were diminishing returns after the fifth EHR notification where additional notifications did not lead to more trial referrals, ACP documentation, or ACP billing. Creation and optimization of EHR notifications for study referrals and ACP should consider the provider user, their workflow, and alert fatigue to improve implementation and adoption.

Trial registration

ClinicalTrials.gov NCT03577002; https://clinicaltrials.gov/ct2/show/NCT03577002.
dc.identifier

v25i1e41884

dc.identifier.issn

1439-4456

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1438-8871

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https://hdl.handle.net/10161/28683

dc.language

eng

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JMIR Publications Inc.

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Journal of medical Internet research

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10.2196/41884

dc.subject

Humans

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Communication

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Documentation

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Advance Care Planning

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Primary Health Care

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Electronic Health Records

dc.title

Provider Interaction With an Electronic Health Record Notification to Identify Eligible Patients for a Cluster Randomized Trial of Advance Care Planning in Primary Care: Secondary Analysis.

dc.type

Journal article

duke.contributor.orcid

Ma, Jessica E|0000-0002-9448-0353

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Musser, R Clayton|0000-0002-7528-0970

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Fischer, Jonathan|0009-0007-1139-8674

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Bosworth, Hayden B|0000-0001-6188-9825

duke.contributor.orcid

Dolor, Rowena|0000-0001-7317-9468

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e41884

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Duke

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School of Medicine

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Medicine

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Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Head and Neck Surgery & Communication Sciences

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

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Duke - Margolis Center For Health Policy

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Published

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25

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