Describing nurses' communication about evidence‐based practice change: A social network analysis of hospital nurses

Author:

Arsenault Knudsen Élise N.1ORCID,Mundt Marlon P.2,Steege Linsey M.1

Affiliation:

1. School of Nursing University of Wisconsin‐Madison Madison Wisconsin USA

2. Departments of Family Medicine and Community Health and Population Health Sciences, School of Medicine and Public Health University of Wisconsin‐Madison Madison Wisconsin USA

Abstract

AbstractBackgroundNurses play a critical role in providing evidence‐based, high‐quality care to optimize patient outcomes. Models from implementation science suggest social networks may influence the adoption of evidence‐based practices (EBPs). However, few studies have examined this relationship among hospital nurses. Social network analysis (SNA) mathematically evaluates patterns of communication, a critical step in implementation. Exploring hospital nurses' communication networks may provide insight into influences on the adoption of EBPs.AimsThis study aimed to describe complete communication networks of hospital nurses for practice changes on inpatient units, including upper level nursing administrators.MethodsThis descriptive, exploratory, cross‐sectional study used SNA on two inpatient units from one hospital. A sociometric survey was completed by nurses (unit to executive level) regarding communication frequency about practice changes. Network‐level density, diameter, average path length, centralization, and arc reciprocity were measured. Attribute data were used to explore subnetworks.ResultsSurveys from 148 nurses on two inpatient adult intensive care units (response rates 90% and 98%) revealed high communication frequency. Network measures were similar across the two units and among subnetworks. Analysis identified central (charge nurses and nurse leaders) and peripheral members of the network (new‐to‐practice nurses). Subnetworks aligned with the weekend and shift worked.Linking Evidence to ActionEstablished communication channels, including subnetworks and opinion leaders, should be used to maximize and optimize implementation strategies and facilitate the uptake of EBPs. Future work should employ SNA to measure the impact of communication networks on promoting the uptake of EBP and to improve patient outcomes.

Publisher

Wiley

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