Evidence map›Paper›PMID 37171856›Full record

Trial reportJournal of medical Internet research2023

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.

Jessica E Ma, Jared Lowe, Callie Berkowitz, Azalea Kim, Ira Togo, R Clayton Musser, Jonathan Fischer, Kevin Shah, Salam Ibrahim, Hayden B Bosworth and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03577002 (A Cluster-randomized Trial Comparing Team-based Versus Primary Care Clinician-led Advance Care Planning in the Meta-LARC Practice-based Research Networks), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03577002 naunknown statusnot on this map

A Cluster-randomized Trial Comparing Team-based Versus Primary Care Clinician-led Advance Care Planning in the Meta-LARC Practice-based Research Networks

TypeinterventionalSponsorOregon Health and Science UniversityRan2019 to 2023Enrolled1,120ConditionsCongestive Heart Failure, Cancer, Chronic Obstructive Pulmonary Disease, Cerebrovascular AccidentArmsSerious Illness Care Program (SICP)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jessica E MaGeriatric Research, Education, and Clinical Center, Durham Veterans Affairs Health Care System, Durham, NC, United States.ORCID 0000-0002-9448-0353
Jared LoweDivision of General Medicine & Clinical Epidemiology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States.ORCID 0009-0002-4856-8271
Callie BerkowitzDivision of Hematology and Oncology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States.ORCID 0000-0001-5531-5892
Azalea KimDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0001-8637-0085
Ira TogoDuke Office of Clinical Research, Durham, NC, United States.ORCID 0009-0009-4073-6956
R Clayton MusserDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-7528-0970
Jonathan FischerDepartment of Community & Family Medicine, Duke University School of Medicine, Durham, NC, United States.ORCID 0009-0007-1139-8674
Kevin ShahDepartment of Medicine, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-6938-698X
Salam IbrahimDuke Health Performance Services, Duke University Health System, Durham, NC, United States.ORCID 0009-0009-9441-8099
Hayden B BosworthDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0001-6188-9825
Annette M TottenOregon Rural Practice Based Research Network, Oregon Health & Science University School of Medicine, Portland, OR, United States.ORCID 0000-0002-9100-8678
Rowena DolorDivision of General Medicine & Clinical Epidemiology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States.ORCID 0000-0001-7317-9468

Funding

HSRD VA CIN 13-410
6 · The paper itself

Abstract

backgroundAdvance 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.

objectiveThe 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.

methodsA 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.

resultsAmong 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%).

conclusionsAn 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 registrationClinicalTrials.gov NCT03577002; https://clinicaltrials.gov/ct2/show/NCT03577002.

Indexed as

Advance Care PlanningElectronic Health RecordsCommunicationDocumentationHumansPrimary Health Careadvance care planningalertsclinical studyEHRelectronic health recordnotificationnotificationsprimary careprovider interactionreferral

Identifiers

PMID37171856
PMCPMC10221493

What OpenQuestion holds

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Registered trials

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.