Nurses' recognition and response to unsafe practice by their peers: A qualitative descriptive analysis.

Behaviours Cues Recognition Reporting Response Unsafe practice

Journal

Nurse education in practice
ISSN: 1873-5223
Titre abrégé: Nurse Educ Pract
Pays: Scotland
ID NLM: 101090848

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 03 02 2022
revised: 02 05 2022
accepted: 21 06 2022
pubmed: 9 7 2022
medline: 30 8 2022
entrez: 8 7 2022
Statut: ppublish

Résumé

Unsafe practice is an important issue for the nursing profession however few studies have sought to identify how nurses recognise and respond to unsafe practice. To identify the behaviours and cues that registered nurses recognise as indications of unsafe practice, perceived factors that contribute to unsafe practice and action nurses take in response. Qualitative descriptive study. New Zealand health care settings. New Zealand registered Nurses (n = 13). Data were collected via semi-structured interviews and analysis was conducted using constant-comparative and thematic analysis. Nurses identified a range of behaviours, cues, contributing factors and responses to unsafe practice. Three themes emerged from the data: Uncertainty, 'sensing' unsafe practice and disrupted professionalism. Understanding the challenges nurses face every day in recognising and responding to unsafe practice in increasingly complex nursing contexts is key to understanding how unsafe practice may be further addressed in clinical practice. Nurses in this study recognised overtly unsafe behaviour and subtle cues as indications of unsafe practice. Participants also identified factors which they perceived contributed to the occurrence of unsafe practice including high workloads and poor skill mix as well as organisational cultures that failed to support safe practice.

Sections du résumé

BACKGROUND BACKGROUND
Unsafe practice is an important issue for the nursing profession however few studies have sought to identify how nurses recognise and respond to unsafe practice.
OBJECTIVES OBJECTIVE
To identify the behaviours and cues that registered nurses recognise as indications of unsafe practice, perceived factors that contribute to unsafe practice and action nurses take in response.
DESIGN METHODS
Qualitative descriptive study.
SETTINGS METHODS
New Zealand health care settings.
PARTICIPANTS METHODS
New Zealand registered Nurses (n = 13).
METHODS METHODS
Data were collected via semi-structured interviews and analysis was conducted using constant-comparative and thematic analysis.
RESULTS RESULTS
Nurses identified a range of behaviours, cues, contributing factors and responses to unsafe practice. Three themes emerged from the data: Uncertainty, 'sensing' unsafe practice and disrupted professionalism.
CONCLUSION CONCLUSIONS
Understanding the challenges nurses face every day in recognising and responding to unsafe practice in increasingly complex nursing contexts is key to understanding how unsafe practice may be further addressed in clinical practice. Nurses in this study recognised overtly unsafe behaviour and subtle cues as indications of unsafe practice. Participants also identified factors which they perceived contributed to the occurrence of unsafe practice including high workloads and poor skill mix as well as organisational cultures that failed to support safe practice.

Identifiants

pubmed: 35803182
pii: S1471-5953(22)00101-9
doi: 10.1016/j.nepr.2022.103387
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103387

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Wendy Blair (W)

New Zealand Nurses Organisation, University of Newcastle, Australia. Electronic address: wendy.blair@nzno.org.nz.

Helen Courtney-Pratt (H)

University of Tasmania, Australia.

Evan Doran (E)

School of Languages and Cultures, University of Sydney, Australia.

Ashley Kable (A)

School of Nursing and Midwifery, College of Health, Medicine and Wellbeing, University of Newcastle, Australia.

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Classifications MeSH