Evidence map›Paper›PMID 30015537›Full record

ArticleJournal of interprofessional care2018

An exploratory study of networks constructed using access data from an electronic health record.

Nengliang Yao, Xi Zhu, Alan Dow, Vimal K Mishra, Allison Phillips, Shin-Ping Tu

Abstract read
In one paragraph

Article in Journal of interprofessional care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A Systematic Review of Network Studies Based on Administrative Health Data.International journal of environmental research and public health · 2020
    Pooled it
  2. Pooled it
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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

6 authors.

Nengliang YaoDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
Xi ZhuDepartment of Health Management and Policy, University of Iowa, Iowa City, Iowa.
Alan DowDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, VA.ORCID http://orcid.org/0000-0002-9004-7528
Vimal K MishraDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, VA.
Allison PhillipsDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, VA.
Shin-Ping TuDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, VA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Thomas P. Loughran · 1987 to 2026
$72.1M
NCI NIH HHS P30 CA044579
6 · The paper itself

Abstract

Network analysis may be a powerful tool for studying interprofessional practice. Using electronic health record data and social network analysis, the network of healthcare professionals involved in colorectal cancer care at a large, urban academic medical center were mapped and studied. A total of 100 surgical colorectal cancer patients receiving treatment in 2013 and 2014 were selected at random. We used detailed access logs for the EHR to map the network of all healthcare professionals for each patient, including inpatient and outpatient settings. Approximately 2.45 million records of access logs from more than 6,800 unique users, representing over 150 roles or occupations were analyzed. Across all networks, professionals were connected to an average of 5.8 other professionals, but some were rarely connected with others while over 20 were very highly connected (> 100 other professionals). Housestaff, attending physicians, and nurses played central roles in the global network with a high number of inter- and intra-professional connections. Clusters of professionals with frequent interaction were demonstrated but, based on the size and complexity of the network, serendipitous interactions were unlikely. Settings for care seemed to influence these clusters. Patient-centric care networks were similar to the global network with some potentially important differences. Access-log information from electronic health records can be an important source of information about relationships between healthcare professionals. Findings from analyses such as this one may help define the state of current networks and potential targets for interventions to improve the quality of care.

Indexed as

Interprofessional careInterprofessional collaborationquantitative methodteamsteamwork

Identifiers

PMID30015537
PMCPMC6344307

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.