Evidence map›Paper›PMID 32308911›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Multivariate Analysis of Physicians' Practicing Behaviors in an Urgent Care Telemedicine Intervention.

Songzi Liu, Barbara Edson, Robert Gianforcaro, Khairat Saif

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Factors Affecting Family Caregivers' Satisfaction During Virtual Care Visits.Studies in health technology and informatics · 2024
    Article
  4. Article
  5. Article
  6. 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

4 authors.

Songzi LiuThe School of Information and Library Science, University of North Carolina, Chapel Hill, NC, USA.
Barbara EdsonVirtual Care Center, UNC Healthcare, Chapel Hill, NC, USA.
Robert GianforcaroVirtual Care Center, UNC Healthcare, Chapel Hill, NC, USA.
Khairat SaifSchool of Nursing, University of North Carolina, Chapel Hill, NC, 27514, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When assessing the characteristics and performance of telemedicine interventions, most studies followed a patient- centric approach, leaving the telemedicine providers' role out of consideration. As a result, little was known about the demographics and prescription pattern of telemedicine physicians, the knowledge of which is integral to a holistic evaluation of the virtual delivery of accountable care. To fill this gap, our study explored how physicians' traits and encounter-specific characteristics correlate with prescription outcomes, using multivariate analyses. Significant inter-physician variation in prescription behaviors was observed and analyzed in sub-groups. The average Virtual Urgent Care physician's prescription likelihood was 69% with a mean prescription count of 0.98; male physicians and primary care providers tended to prescribe both more often and with a greater number of medications. This study called attention to the quality and reproducibility of telemedicine providers' prescription decision and warned the likely absence of well-defined practice guidelines for delivering virtual care.

Indexed as

Practice Patterns, Physicians'TelemedicineAmbulatory CareAttitude of Health PersonnelDatasets as TopicEmergency MedicineFemaleHumansLogistic ModelsMaleMultivariate AnalysisPhysiciansPhysicians, Primary CarePractice Guidelines as TopicPrescription DrugsReproducibility of ResultsPrescription Drugs

Identifiers

PMID32308911
PMCPMC7153110

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.