Evidence map›Paper›PMID 32779140›Full record

Trial reportJournal of general internal medicine2020

Impact of an Opt-In eConsult Program on Primary Care Demand for Specialty Visits: Stepped-Wedge Cluster Randomized Implementation Study.

Sharon Rikin, Chenshu Zhang, Daniel Lipsey, Joseph Deluca, Eric J Epstein, Matt Berger, Yaron Tomer, Julia H Arnsten

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Formalizing the curbside: digitally enhancing access to specialty care.Proceedings (Baylor University. Medical Center) · 2023
    Article
  5. Article
  6. Article
  7. 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

8 authors.

Sharon RikinMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA. Srikin@montefiore.org.ORCID 0000-0002-2280-9033
Chenshu ZhangMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Daniel LipseyMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Joseph DelucaMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Eric J EpsteinMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Matt BergerMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Yaron TomerMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.
Julia H ArnstenMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundeConsult programs have been instituted to increase access to specialty expertise. Opt-in choice eConsult programs maintain primary care physician (PCP) autonomy to decide whether to utilize eConsults versus traditional specialty referrals, but little is known about how this intervention may impact PCP eConsult adoption and traditional referral demand.

objectiveWe assessed the feasibility of implementing an opt-in choice eConsult program and examined whether this intervention reduces demand for in-person visits for primary care patients requiring specialty expertise.

designStepped-wedge, cluster randomized trial conducted from July 2018 to June 2019.

participantsSixteen primary care practices in a large, urban academic health care system.

interventionOur intervention was an opt-in choice eConsult available in addition to traditional specialty referral; our implementation strategy included in-person training, audit and feedback, and incentive payments. MAIN MEASURES: Our implementation outcome measure was the eConsult rate: weekly proportion of eConsults per PCP visit at each site. Our intervention outcome measure was traditional referral rate: weekly proportion of referrals per PCP visit at each site. We also assessed PCP experiences with questionnaires. KEY

resultsOf 305,915 in-person PCP visits, there were 31,510 traditional referrals to specialties participating in the eConsult program, and 679 eConsults. All but one primary care site utilized the opt-in choice eConsult program, with a weekly rate of 0.05 eConsults per 100 PCP visits by the end of the study period. The weekly rate of traditional referrals was 11 per 100 PCP visits at the end of the study period; this represents a significant increase in traditional referral rate after implementation of eConsults. PCPs were generally satisfied with the eConsult program and valued prompt provider-to-provider communication.

conclusionsImplementation of an opt-in choice eConsult program resulted in widespread PCP adoption; however, this did not decrease the demand for traditional referrals. Future studies should evaluate different strategies to incentivize and increase eConsult utilization while maintaining PCP choice.

Indexed as

MedicinePhysicians, Primary CareHumansPrimary Health CareReferral and ConsultationSurveys and Questionnairesaccess to careeConsulthealth care utilizationprimary carereferral and consultation

Identifiers

PMID32779140
PMCPMC7652962

What OpenQuestion holds

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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.