Evidence map›Paper›PMID 31438036›Full record

ArticleStudies in health technology and informatics2019

Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort.

Bryan D Steitz, Mia A Levy

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  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

2 authors.

Bryan D SteitzDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
Mia A LevyDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Care coordination has received attention as an opportunity to improve healthcare delivery. Current work to quantify provider coordination has primarily relied on identifying shared patients, but neglects to understand communication patterns. We applied social network analysis to electronic health record (EHR) secure messaging data to compare networks of providers who share patients and networks of providers who communicate about patients. We studied 2175 stage I-III breast cancer patients who received outpatient treatment from 1758 providers at a large academic medical center in the southeastern United States. Patients in our cohort were involved in 94324 appointments and were the subject of 307144 message threads. We found that 9.9% of provider-provider pairs that shared patients were mutually involved in electronic communication about their patients. EHR data sources can be used to evaluate provider communication across a clinical enterprise, which can help identify opportunities to improve collaboration and reduce provider burnout.

Indexed as

Breast NeoplasmsElectronic MailCohort StudiesCommunicationElectronic Health RecordsHumansCommunicationTransitional CareWorkflow

Identifiers

PMID31438036
PMCPMC12038858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.