Evidence map›Paper›PMID 27706199›Full record

ArticlePloS one2016

An Outcome-Weighted Network Model for Characterizing Collaboration.

Matthew B Carson, Denise M Scholtens, Conor N Frailey, Stephanie J Gravenor, Gayle E Kricke, Nicholas D Soulakis

Abstract read
In one paragraph

Article in PloS one, 2016. 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. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.Journal of the American Medical Informatics Association : JAMIA · 2019
    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

6 authors.

Matthew B CarsonDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.ORCID http://orcid.org/0000-0003-4105-9220
Denise M ScholtensDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
Conor N FraileyDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
Stephanie J GravenorDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
Gayle E KrickeDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.
Nicholas D SoulakisDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
A Novel Graph Processing Architecture to Ascertain & Monitor Care CoordinationK01LM011973 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SOULAKIS, NICHOLAS DEAN · 2014 to 2016
$478k
NCATS NIH HHS UL1 TR001422NLM NIH HHS K01 LM011973
6 · The paper itself

Abstract

Shared patient encounters form the basis of collaborative relationships, which are crucial to the success of complex and interdisciplinary teamwork in healthcare. Quantifying the strength of these relationships using shared risk-adjusted patient outcomes provides insight into interactions that occur between healthcare providers. We developed the Shared Positive Outcome Ratio (SPOR), a novel parameter that quantifies the concentration of positive outcomes between a pair of healthcare providers over a set of shared patient encounters. We constructed a collaboration network using hospital emergency department patient data from electronic health records (EHRs) over a three-year period. Based on an outcome indicating patient satisfaction, we used this network to assess pairwise collaboration and evaluate the SPOR. By comparing this network of 574 providers and 5,615 relationships to a set of networks based on randomized outcomes, we identified 295 (5.2%) pairwise collaborations having significantly higher patient satisfaction rates. Our results show extreme high- and low-scoring relationships over a set of shared patient encounters and quantify high variability in collaboration between providers. We identified 29 top performers in terms of patient satisfaction. Providers in the high-scoring group had both a greater average number of associated encounters and a higher percentage of total encounters with positive outcomes than those in the low-scoring group, implying that more experienced individuals may be able to collaborate more successfully. Our study shows that a healthcare collaboration network can be structurally evaluated to characterize the collaborative interactions that occur between healthcare providers in a hospital setting.

Indexed as

Clinical Decision-MakingCooperative BehaviorElectronic Health RecordsEmergency Service, HospitalHealth PersonnelHumansModels, TheoreticalPatient Care TeamPatient SatisfactionUser-Computer Interface

Identifiers

PMID27706199
PMCPMC5051930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.