Evidence map›Paper›PMID 39264980›Full record

ArticlePloS one2024

Implementation and evaluation of an electronic consult program at a large academic health system.

Anita Arora, Renee Fekieta, Erica Spatz, Brita Roy, Karla Marco, Mona Sharifi, Dinesh Pashankar, Babar Khokhar

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Anita AroraYale School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0003-1073-5230
Renee FekietaYale School of Medicine, New Haven, Connecticut, United States of America.
Erica SpatzYale School of Medicine, New Haven, Connecticut, United States of America.
Brita RoyNYU Grossman School of Medicine, New York, New York, United States of America.
Karla MarcoYale School of Medicine, New Haven, Connecticut, United States of America.
Mona SharifiYale School of Medicine, New Haven, Connecticut, United States of America.
Dinesh PashankarYale School of Medicine, New Haven, Connecticut, United States of America.
Babar KhokharYale School of Medicine, New Haven, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the benefits of eConsults in increasing access and lowering unnecessary utilization have been well described, the development of a successful program can be challenging.

objectiveWe sought to share the experiences of a large academic health system in implementing and evaluating a high-volume electronic consultation (eConsult) program across 34 adult and pediatric medical and surgical specialties.

methodsUsing a multi-method approach, we collected qualitative and quantitative data on operational and process outcomes to describe adoption of eConsults, and survey data to capture satisfaction and experience among referring and specialist clinicians. RESULTS AND

conclusionsData evaluating this eConsult program demonstrated robust uptake of the eConsult workflow as well as high satisfaction amongst primary care and specialty clinicians. Effective implementation strategies included engaging leadership, building a dedicated team, and developing quality assurance mechanisms. These experiences and findings may inform implementation at health systems interested in eConsult programs.

Indexed as

Academic Medical CentersAdultHumansPrimary Health CareProgram EvaluationReferral and ConsultationRemote ConsultationSurveys and Questionnaires

Identifiers

PMID39264980
PMCPMC11392322

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.