Evidence map›Paper›PMID 37829223›Full record

ArticleProceedings (Baylor University. Medical Center)2023

Formalizing the curbside: digitally enhancing access to specialty care.

Camille Bradley, LaPortia Smith, Kenneth Youens, Bobbie Ann Adair White, Glen Couchman

Abstract readEditorial
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2023. 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
–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

2 citing papers in PubMed.

  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

5 authors.

Camille BradleyBaylor Scott and White Health Family Medicine Lakewood, Dallas, Texas, USA.ORCID https://orcid.org/0009-0009-4279-4279
LaPortia SmithDepartment of Internal Medicine, Baylor Scott and White Medical Center Round Rock, Round Rock, Texas, USA.
Kenneth YouensDepartment of Pathology and Laboratory Medicine, Baylor Scott and White Medical Center Temple, Temple, Texas, USA.
Bobbie Ann Adair WhiteMassachusetts General Hospital Institute of Health Professions, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-1408-3383
Glen CouchmanDepartment of Family Medicine, Baylor Scott and White Medical Center Temple, Temple, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asynchronous medical care has increased in utilization, patient interest, and industry demand. While E-consults have been discussed extensively in the literature, there are rare examples of a multispecialty implementation within a large health system. Here, we describe our experience in implementing an internal E-consult program for asynchronous, nonurgent communication between ambulatory specialists and primary care providers in our large multispecialty regional health system. To ensure adoption of the program, patient, specialist, and primary care physician concerns were systematically addressed. The program commenced in February 2022 with three high referral rate specialties: cardiology, orthopedics, and dermatology. In the 12 months after implementation, 2243 total E-consults were ordered among 505 ordering providers. Dermatology received the most consultations, and we have expanded to 19 specialties and subspecialties available in the program in the first year. Our E-consult implementation experienced substantial growth in a short time period, demonstrating the viability of E-consult utilization for increasing asynchronous access to ambulatory specialists' expertise in a large healthcare system.

Indexed as

Asynchronous carecurbside consultE-consulthospital systemprogram implementationquintuple aimspecialty care

Identifiers

PMID37829223
PMCPMC10566420

What OpenQuestion holds

Textmetadata
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.