Evidence map›Paper›PMID 35673035›Full record

ArticleStudies in health technology and informatics2022

Perioperative Care Structures and Non-Routine Events: Network Analysis.

You Chen, Mhd Wael Alrifai, Yang Gong, Rhodes Evan, Jason Slagle, Bradley Malin, Daniel France

Open access · hybridAbstract read
In one paragraph

Article in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 16% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

You ChenVanderbilt University Medical Center, Nashville, TN, USA.
Mhd Wael AlrifaiVanderbilt University Medical Center, Nashville, TN, USA.
Yang GongThe University of Texas Health Science Center at Houston, TX, USA.
Rhodes EvanVanderbilt University Medical Center, Nashville, TN, USA.
Jason SlagleVanderbilt University Medical Center, Nashville, TN, USA.
Bradley MalinVanderbilt University Medical Center, Nashville, TN, USA.
Daniel FranceVanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USThe University of Texas Health Science Center at Houston · US

Funding

Discovering Care Coordination Practice Patterns in the EMR: Interpretation and Impact on Patient OutcomesR01LM012854 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, YOU · 2019 to 2022
$1.5M
NLM NIH HHS R01 LM012854
6 · The paper itself

Abstract

Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care structure and organizational factors may influence a clinician's NRE reporting behavior, their role has not been systematically studied. We conducted a retrospective study relying on NREs and electronic health records to determine if perioperative interaction structures among clinicians are associated with the frequency of NRE reporting in a large academic medical center. The data covers November 1, 2016, to January 31, 2019 and includes 295 perioperative clinicians, 225 neonatal surgical cases, and 543 NREs. Using network analysis, we measured a clinician's status in interaction structures according to the sociometric factors of degree, betweenness, and eigenvector centrality. We applied a proportional odds model to measure the relationship between each sociometric factor and NRE reporting frequency. Our findings indicate that the centrality of clinicians is directly associated with the quantity of NREs per surgical case.

Indexed as

Patient SafetyPerioperative CareElectronic Health RecordsHumansInfant, NewbornRetrospective Studiesneonatal intensive care unitNetwork analysisperioperative interaction structure

Identifiers

PMID35673035
PMCPMC9213069
OpenAlexW4281703865

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.