Evidence map›Paper›PMID 29916273›Full record

ArticleHERD2018

Nursing Unit Design, Nursing Staff Communication Networks, and Patient Falls: Are They Related?

Barbara B Brewer, Kathleen M Carley, Marge Benham-Hutchins, Judith A Effken, Jeffrey Reminga

Open access · hybridAbstract read
In one paragraph

Article in HERD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. 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

5 authors at 3 institutions in 1 country.

Barbara B Brewer1 The University of Arizona, Tucson, AZ, USA.
Kathleen M Carley2 Carnegie Mellon University, Pittsburgh, PA, USA.
Marge Benham-Hutchins3 The University of Texas at Austin, Austin, TX, USA.
Judith A Effken1 The University of Arizona, Tucson, AZ, USA.
Jeffrey Reminga2 Carnegie Mellon University, Pittsburgh, PA, USA.
Carnegie Mellon University · USUniversity of Arizona · USThe University of Texas at Austin · US

Funding

Measuring Network Stability and FitR01GM105480 · NIGMS · UNIVERSITY OF ARIZONA · PI BENHAM-HUTCHINS, MARY MARGARET, BREWER, BARBARA BAGDASARIAN · 2013 to 2016
$1.3M
NIGMS NIH HHS R01 GM105480
6 · The paper itself

Abstract

purpose: The purpose of this research is to (1) investigate the impact of nursing unit design on nursing staff communication patterns and, ultimately, on patient falls in acute care nursing units; and (2) evaluate whether differences in fall rates, if found, were associated with the nursing unit physical structure (shape) or size.

background: Nursing staff communication and nursing unit design are frequently linked to patient safety outcomes, yet little is known about the impact of specific nursing unit designs on nursing communication patterns that might affect patient falls.

method: An exploratory longitudinal correlational design was used to measure nursing unit communication structures using social network analysis techniques. Data were collected 4 times over a 7-month period. Floor plans were used to determine nursing unit design. Fall rates were provided by hospital coordinators.

results: An analysis of covariance controlling for hospitals resulted in a statistically significant interaction of unit shape and size (number of beds). The interaction occurred when medium- and large-sized racetrack-shaped units intersected with medium- and large-sized cross-shaped units.

conclusion: The results suggest that nursing unit design shape impacts nursing communication patterns, and the interaction of shape and size may impact patient falls. How those communication patterns affect patient falls should be considered when planning hospital construction of nursing care units.

Indexed as

CommunicationFacility Design and ConstructionAccidental FallsHospitalsHospital UnitsHumansNursing Staff, HospitalPatient SafetyPatients' RoomsUnited Statescommunication structurenursing unit designpatient fallssocial network analysis

Identifiers

PMID29916273
PMCPMC6236589
OpenAlexW2808760681

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.