Evidence map›Paper›PMID 36656576›Full record

ArticleJAMA network open2023

Prevalence of Behavioral Flags in the Electronic Health Record Among Black and White Patients Visiting the Emergency Department.

Anish K Agarwal, Emily Seeburger, Gerald O'Neill, Chidinma C Nwakanma, Lillian E Marsh, Kevin Alexander Soltany, Eugenia C South, Ari B Friedman

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Racial and Demographic Differences in Use of a Trauma Center Confidential Status Policy.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
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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

8 authors.

Anish K AgarwalDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Emily SeeburgerDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Gerald O'NeillDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Chidinma C NwakanmaDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Lillian E MarshDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Kevin Alexander SoltanyWake Forest School of Medicine, Winston-Salem, North Carolina.
Eugenia C SouthDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.
Ari B FriedmanDepartment of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Behavioral flags in the electronic health record (EHR) are designed to alert clinicians of potentially unsafe or aggressive patients. These flags may introduce bias, and understanding how they are used is important to ensure equitable care. Objective: To investigate the incidence of behavioral flags and assess whether there were differences between Black and White patients and whether the flags were associated with differences in emergency department (ED) clinical care. Design, Setting, and Participants: This was a retrospective cohort study of EHR data of adult patients (aged ≥18 years) from 3 Philadelphia, Pennsylvania, EDs within a single health system between January 1, 2017, and December 31, 2019. Secondary analyses excluded patients with sickle cell disease and high ED care utilization. Data were analyzed from February 1 to April 4, 2022. Main Outcomes and Measures: The primary outcome of interest was the presence of an EHR behavioral flag. Secondary measures included variation of flags across sex, race, age, insurance status, triage status, ED clinical care metrics (eg, laboratory, medication, and radiology orders), ED disposition (discharge, admission, or observation), and length of key intervals during ED care. Results: Participating EDs had 195 601 eligible patients (110 890 [56.7%] female patients; 113 638 Black patients [58.1%]; 81 963 White patients [41.9%]; median [IQR] age, 42 [28-60] years), with 426 858 ED visits. Among these, 683 patients (0.3%) had a behavioral flag notification in the EHR (3.5 flags per 1000 patients), and it was present for 6851 ED visits (16 flagged visits per 1000 visits). Patient differences between those with a flag and those without included male sex (56.1% vs 43.3%), Black race (71.2% vs 56.7%), and insurance status, particularly Medicaid insurance (74.5% vs 36.3%). Flag use varied across sites. Black patients received flags at a rate of 4.0 per 1000 patients, and White patients received flags at a rate of 2.4 per 1000 patients (P < .001). Among patients with a flag, Black patients, compared with White patients, had longer waiting times to be placed in a room (median [IQR] time, 28.0 [10.5-89.4] minutes vs 18.2 [7.2-75.1] minutes; P < .001), longer waiting times to see a clinician (median [IQR] time, 42.1 [18.8-105.5] minutes vs 33.3 [15.3-84.5] minutes; P < .001), and shorter lengths of stay (median [IQR] time, 274 [135-471] minutes vs 305 [154-491] minutes; P = .01). Black patients with a flag underwent fewer laboratory (eg, 2449 Black patients with 0 orders [43.4%] vs 441 White patients with 0 orders [36.7%]; P < .001) and imaging (eg, 3541 Black patients with no imaging [62.7%] vs 675 White patients with no imaging [56.2%]; P < .001) tests compared with White patients with a flag. Conclusions and Relevance: This cohort study found significant differences in ED clinical care metrics, including that flagged patients had longer wait times and were less likely to undergo laboratory testing and imaging, which was amplified in Black patients.

Indexed as

Electronic Health RecordsAdolescentAdultAggressionBehaviorBlack or African AmericanCohort StudiesEmergency Service, HospitalFemaleHumansMalePhiladelphiaPrevalenceRetrospective StudiesUnited StatesWhite

Identifiers

PMID36656576
PMCPMC9857105

What OpenQuestion holds

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Registered trials

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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.