Evidence map›Paper›PMID 35148271›Full record

ArticleJMIR formative research2022

System-Level Factors Associated With Telephone and Video Visit Use: Survey of Safety-Net Clinicians During the Early Phase of the COVID-19 Pandemic.

Anjana E Sharma, Elaine C Khoong, Maribel Sierra, Natalie A Rivadeneira, Malini A Nijagal, George Su, Courtney R Lyles, Triveni DeFries, Delphine S Tuot, Urmimala Sarkar

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Telemedicine Implementation for Safety Net Populations: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Pooled it
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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

10 authors at 2 institutions in 1 country.

Anjana E SharmaDepartment of Family & Community Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-5541-2414
Elaine C KhoongCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2514-3572
Maribel SierraCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3390-9961
Natalie A RivadeneiraCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2421-9915
Malini A NijagalDepartment of Obstetrics and Gynecology, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0827-6824
George SuDivision of Pulmonary, Critical Care, and Sleep, Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-7233-8981
Courtney R LylesCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1111-8595
Triveni DeFriesDivision of General Internal Medicine, Zuckerberg San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3050-4811
Delphine S TuotCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-1484-8945
Urmimala SarkarCenter for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4213-4405
San Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Designing a Remote Monitoring Intervention for Value & Equity in Hypertension (DRIVE-HTN)K23HL157750 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHOONG, ELAINE · 2021 to 2025
$921k
NCATS NIH HHS KL2 TR001870NHLBI NIH HHS K23 HL157750
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic prompted safety-net health care systems to rapidly implement telemedicine services with little prior experience, causing disparities in access to virtual visits. While much attention has been given to patient barriers, less is known regarding system-level factors influencing telephone versus video-visit adoption. As telemedicine remains a preferred service for patients and providers, and reimbursement parity will not continue for audio visits, health systems must evaluate how to support higher-quality video visit access.

objectiveThis study aimed to assess health system-level factors and their impact on telephone and video visit adoption to inform sustainability of telemedicine for ambulatory safety-net sites.

methodsWe conducted a cross-sectional survey among ambulatory care clinicians at a hospital-linked ambulatory clinic network serving a diverse, publicly insured patient population between May 28 and July 14, 2020. We conducted bivariate analyses assessing health care system-level factors associated with (1) high telephone adoption (4 or more visits on average per session); and (2) video visit adoption (at least 1 video visit on average per session).

resultsWe collected 311 responses from 643 eligible clinicians, yielding a response rate of 48.4%. Clinician respondents (N=311) included 34.7% (n=108) primary or urgent care, 35.1% (n=109) medical, and 7.4% (n=23) surgical specialties. Our sample included 178 (57.2%) high telephone adopters and 81 (26.05%) video adopters. Among high telephone adopters, 72.2% utilized personal devices for telemedicine (vs 59.0% of low telephone adopters, P=.04). Video nonadopters requested more training in technical aspects than adopters (49.6% vs 27.2%, P<.001). Primary or urgent care had the highest proportion of high telephone adoption (84.3%, compared to 50.4% of medical and 37.5% of surgical specialties, P<.001). Medical specialties had the highest proportion of video adoption (39.1%, compared to 14.8% of primary care and 12.5% of surgical specialties, P<.001).

conclusionsPersonal device access and department specialty were major factors associated with high telephone and video visit adoption among safety-net clinicians. Desire for training was associated with lower video visit use. Secure device access, clinician technical trainings, and department-wide assessments are priorities for safety-net systems implementing telemedicine.

Indexed as

ambulatory careCOVID-19deliveryhealth care deliveryhealth systemhospitalimplementationsafetysafety-net hospitalssurveytelehealthtelemedicinevideovulnerablevulnerable populations

Identifiers

PMID35148271
PMCPMC8949684
OpenAlexW4210425841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.