Evidence map›Paper›PMID 35904781›Full record

ArticleJAMA network open2022

Trends in Utilization of Electronic Consultations Associated With Patient Payer and Language Among US Academic Medical Centers During the COVID-19 Pandemic.

Anita Arora, Renee Fekieta, Zakia Nouri, Danielle Carder, Megan M Colgan, Anne Fuhlbrigge, Sara L Jackson, Samuel Collins, Nathaniel Gleason, Julia Chen

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 8 institutions in 1 country.

Anita AroraYale School of Medicine, New Haven, Connecticut.
Renee FekietaYale School of Medicine, New Haven, Connecticut.
Zakia NouriAssociation of American Medical Colleges, Washington, District of Columbia.
Danielle CarderAssociation of American Medical Colleges, Washington, District of Columbia.
Megan M ColganDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Anne FuhlbriggeUniversity of Colorado School of Medicine, Aurora.
Sara L JacksonUniversity of Washington School of Medicine, Seattle.
Samuel CollinsUniversity of Virginia, Charlottesville.
Nathaniel GleasonUniversity of California, San Francisco.
Julia ChenUniversity of Michigan, Ann Arbor.
Association of American Medical Colleges · USYale University · USDartmouth–Hitchcock Medical Center · USUniversity of California, San Francisco · USUniversity of Colorado Denver · USUniversity of Michigan–Ann Arbor · USUniversity of Virginia · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Electronic consultations (eConsultations) are increasingly used to obtain specialist guidance, avoiding unnecessary face-to-face patient visits for certain clinical questions. During the COVID-19 pandemic, when in-person care was limited, eConsultations may have helped clinicians obtain specialist input to guide patient care. Objective: To understand how the use of eConsultations changed during the COVID-19 pandemic and whether trends in eConsultation utilization differed based on patient's payer and primary language. Design, Setting, and Participants: This retrospective cohort study was conducted at 6 academic medical centers in the United States, all participating in the Association of American Colleges Coordinating Optimal Referral Experiences program. Participants included adult patients who had an outpatient visit, referral, or eConsultation during the study period. Data were analyzed from June 4, 2019, to July 28, 2020. Main Outcomes and Measures: The primary outcome was the eConsultation proportion of specialty contact, defined as the number of completed eConsultations divided by the sum of the number of completed eConsultations and specialty referrals, expressed as a percentage. eConsultation percentages of specialty contact were further stratified by payer type and language. Payers included commercial, Medicare, Medicaid, self-pay or uninsured, and other. Primary language included English and non-English languages. Results: A total of 14 545 completed eConsultations and 189 776 referrals were included. More eConsultations were completed for English-speaking patients (11 363 eConsultations [95.0%]) than non-English-speaking patients (597 eConsultations [5.0%]). Patients with commercial insurance represented the highest number of completed eConsultations (8848 eConsultations [60.8%]) followed by Medicare (3891 eConsultations [26.8%]), Medicaid (930 eConsultations [6.4%]), other insurance (745 eConsultations [5.1%]), and self-pay or no insurance (131 eConsultations [0.9%]). At the start of the pandemic, across all academic medical centers, the percentage of specialty contact conducted via eConsultation significantly increased by 6.21% (95% CI, 4.97%-7.44%; P < .001). When stratified by payer and language, the percentage of specialty contact conducted via eConsultation significantly increased at the beginning of the pandemic for both English-speaking patients (change, 6.09% (95% CI, 4.82% to 7.37%; P < .001) and non-English-speaking patients (change, 8.48% [95% CI, 5.79% to 11.16%]; P < .001) and for all payers, except self-pay and uninsured patients (change, -0.21% [95% CI, [-1.35% to 0.92%]; P = .70). Conclusions and Relevance: This retrospective cohort study found that eConsultations provided an accessible mechanism for clinicians to receive specialist input when in-person care was limited.

Indexed as

COVID-19Remote ConsultationAcademic Medical CentersAdultAgedHumansLanguageMedicarePandemicsRetrospective StudiesUnited States

Identifiers

PMID35904781
PMCPMC9338406
OpenAlexW4288712299

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.