Literature DB >> 25280238

Common risky behaviours checklist: a tool to assist nurse supervisors to assess unsafe practice.

David M Cadiz1, Donald M Truxillo2, Chris O'Neill1.   

Abstract

AIM: To describe the development of the Common Risky Behaviour Checklist, a tool to aid nurse supervisors in determining when a nurse may be questionably fit to perform, particularly in cases of substance abuse.
BACKGROUND: A significant number of nurses may have substance use disorders that could manifest as unsafe performance at work, and nurse supervisors lack the tools to assess a nurse's fitness to perform at work.
METHOD: Job analysis techniques were used to identify the critical impairment behaviours for the tool. Job analysis is a legally defensible, multi-stage process used in the organisational psychology field to develop work performance assessments.
RESULTS: A screening tool was developed for nurse supervisors to assess when a nurse may be questionably fit to perform.
CONCLUSION: The development of this checklist is one of several needed advancements in order to address the issue of fitness to perform and patient safety. IMPLICATIONS FOR NURSING MANAGEMENT: The Common Risky Behaviour Checklist offers nurse managers assistance in protecting patient safety by providing a quick (one-page), systematic, behaviour-based method to collect information that can inform urgent decisions, trigger performance corrections and can complement formal organisational documentation processes in cases of unsafe practice due to substance abuse.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  common risky behaviour checklist; nurse fitness to perform; substance abuse; unsafe practice

Mesh:

Year:  2014        PMID: 25280238     DOI: 10.1111/jonm.12214

Source DB:  PubMed          Journal:  J Nurs Manag        ISSN: 0966-0429            Impact factor:   3.325


  1 in total

1.  Detecting drug diversion in health-system data using machine learning and advanced analytics.

Authors:  Tom Knight; Bernie May; Don Tyson; Scott McAuley; Pam Letzkus; Sharon Murphy Enright
Journal:  Am J Health Syst Pharm       Date:  2022-08-05       Impact factor: 2.980

  1 in total

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