Evidence map›Paper›PMID 23114394›Full record

ArticleComputers, informatics, nursing : CIN2013

Using *ORA, a network analysis tool, to assess the relationship of handoffs to quality and safety outcomes.

Judith A Effken, Sheila M Gephart, Barbara B Brewer, Kathleen M Carley

Abstract read
In one paragraph

Article in Computers, informatics, nursing : CIN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  7. Observational
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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

4 authors.

Judith A EffkenThe University of Arizona, College of Nursing, Tucson, AZ 85721, USA. jeffken@nursing.arizona.edu
Sheila M Gephart
Barbara B Brewer
Kathleen M Carley

Funding

DyNADS: A Dynamic Network Analysis Decision Support Tool for Nurse ManagersR01LM009516 · NLM · UNIVERSITY OF ARIZONA · PI BREWER, BARBARA BAGDASARIAN, CARLEY, KATHLEEN M · 2007 to 2010
$1.7M
NLM NIH HHS 1R01LM009516-01A1NLM NIH HHS R01 LM009516
6 · The paper itself

Abstract

Communication during patient handoffs has been widely implicated in patient safety issues. However, few studies have actually been able to quantify the relationship between handoffs and patient outcomes. We used *ORA, a dynamic network analysis tool, to examine handoffs between day and night shifts on seven units in three hospitals in the Southwest. Using *ORA's visualization and analysis capabilities, we examined the relationships between the handoff communication network metrics and a variety of patient safety quality and satisfaction outcomes. Unique network patterns were observed for different types of outcome variable (eg, safety, symptom management, self-care, and patient satisfaction). This exploratory project demonstrates the power of *ORA to identify communication patterns for large groups, such as patient care units. *ORA's network metrics can then be related to specific patient outcomes.

Indexed as

CommunicationInterprofessional RelationsSoftwareAdultFemaleHospital UnitsHumansMaleMiddle AgedNursing Evaluation ResearchNursing InformaticsNursing Staff, HospitalOutcome Assessment, Health CarePatient HandoffPatient SafetyQuality of Health Care

Identifiers

PMID23114394
PMCPMC4156878

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.