Evidence map›Paper›PMID 38700859›Full record

ArticleJAMA network open2024

Real-Time Electronic Patient Portal Use Among Emergency Department Patients.

Robert W Turer, Samuel A McDonald, Christoph U Lehmann, Bhaskar Thakur, Sayon Dutta, Richard A Taylor, Christian C Rose, Adam Frisch, Kristian Feterik, Craig Norquist and 11 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

21 authors.

Robert W TurerDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas.
Samuel A McDonaldDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas.
Bhaskar ThakurDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas.
Sayon DuttaDepartment of Emergency Medicine, Mass General Brigham, Boston, Massachusetts.
Richard A TaylorDepartment of Emergency Medicine and Section for Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut.
Christian C RoseDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California.
Adam FrischDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Kristian FeterikDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Craig NorquistDepartment of Emergency Medicine, HonorHealth, Phoenix, Arizona.
Carrie K BakerDepartment of Emergency Medicine, Kettering Health, and Wright State University Boonshoft School of Medicine, Dayton, Ohio.
Jeffrey A NielsonDepartment of Emergency Medicine, Kettering Health, and Wright State University Boonshoft School of Medicine, Dayton, Ohio.
David ChaDepartment of Emergency Medicine, Kettering Health, and Wright State University Boonshoft School of Medicine, Dayton, Ohio.
Brian KwanDepartment of Emergency Medicine, School of Medicine, University of California, San Diego.
Christian DameffDepartment of Emergency Medicine, School of Medicine, University of California, San Diego.
James P KilleenDepartment of Emergency Medicine, School of Medicine, University of California, San Diego.
Michael K HallDepartment of Emergency Medicine, University of Washington, Seattle.
Robert C DoerningDepartment of Emergency Medicine, University of Washington, Seattle.
S Trent RosenbloomDepartments of Internal Medicine and Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
Casey DistasoDepartments of Internal Medicine and Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
Bryan D SteitzDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Integrative Data Science Approach to Advance Care Coordination of ADRD by Primary Care ProvidersK01AG083133 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bryan Steitz · 2023 to 2026
$479k
NCATS NIH HHS UL1 TR001863NIA NIH HHS K01 AG083133
6 · The paper itself

Abstract

Importance: Patients with inequitable access to patient portals frequently present to emergency departments (EDs) for care. Little is known about portal use patterns among ED patients. Objectives: To describe real-time patient portal usage trends among ED patients and compare demographic and clinical characteristics between portal users and nonusers. Design, Setting, and Participants: In this cross-sectional study of 12 teaching and 24 academic-affiliated EDs from 8 health systems in California, Connecticut, Massachusetts, Ohio, Tennessee, Texas, and Washington, patient portal access and usage data were evaluated for all ED patients 18 years or older between April 5, 2021, and April 4, 2022. Exposure: Use of the patient portal during ED visit. Main Outcomes and Measures: The primary outcomes were the weekly proportions of ED patients who logged into the portal, viewed test results, and viewed clinical notes in real time. Pooled random-effects models were used to evaluate temporal trends and demographic and clinical characteristics associated with real-time portal use. Results: The study included 1 280 924 unique patient encounters (53.5% female; 0.6% American Indian or Alaska Native, 3.7% Asian, 18.0% Black, 10.7% Hispanic, 0.4% Native Hawaiian or Pacific Islander, 66.5% White, 10.0% other race, and 4.0% with missing race or ethnicity; 91.2% English-speaking patients; mean [SD] age, 51.9 [19.2] years). During the study, 17.4% of patients logged into the portal while in the ED, whereas 14.1% viewed test results and 2.5% viewed clinical notes. The odds of accessing the portal (odds ratio [OR], 1.36; 95% CI, 1.19-1.56), viewing test results (OR, 1.63; 95% CI, 1.30-2.04), and viewing clinical notes (OR, 1.60; 95% CI, 1.19-2.15) were higher at the end of the study vs the beginning. Patients with active portal accounts at ED arrival had a higher odds of logging into the portal (OR, 17.73; 95% CI, 9.37-33.56), viewing test results (OR, 18.50; 95% CI, 9.62-35.57), and viewing clinical notes (OR, 18.40; 95% CI, 10.31-32.86). Patients who were male, Black, or without commercial insurance had lower odds of logging into the portal, viewing results, and viewing clinical notes. Conclusions and Relevance: These findings suggest that real-time patient portal use during ED encounters has increased over time, but disparities exist in portal access that mirror trends in portal usage more generally. Given emergency medicine's role in caring for medically underserved patients, there are opportunities for EDs to enroll and train patients in using patient portals to promote engagement during and after their visits.

Indexed as

Emergency Service, HospitalPatient PortalsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID38700859
PMCPMC11069088

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.