A Survey of Stress and Burnout in Forensic Mental Health Nursing.

A Survey of Stress and Burnout in Forensic Mental Health Nursing.

Newman, Claire;Jackson, Jane;Macleod, Shona;Eason, Michelle;
journal of forensic nursing 2020
140
newman2020ajournal

Abstract

Although it is known that forensic mental health nurses (FMHNs) work in a stressful environment, their experience of stress and burnout remains largely unexplored.The study aimed to measure levels of burnout and workplace stressors experienced by FMHNs.A survey of 205 FMHNs was undertaken. Respondents completed the Maslach Burnout Inventory and the Nursing Stress Scale.Fifty-seven FMHNs completed the survey, representing a response rate of 27.8%. Only five respondents (8.8%) experienced high levels of burnout across all three Maslach Burnout Inventory subscales. The most reported workplace stressors were related to "workload," "conflict with other nurses," and "conflict with physicians." A correlation between total Nursing Stress Scale score and both "emotional exhaustion" and "cynicism" were found (r = 0.45, p < 0.001, and r = 0.34, p < 0.011, respectively), indicating that FMHNs who reported higher workplace stress are at an increased risk of burnout.Most FMHNs in the current study experienced moderate levels of burnout, although they continued to feel self-assured in their practice and found their work rewarding. Consistent with other nursing populations, the FMHNs in this study reported feeling stressed by their workload and as the result of conflict with other nurses and physicians.Reduced well-being, associated with stress and burnout, may lead to increased absences from work and the delivery of poor-quality forensic mental health consumer care. The implementation of staff well-being strategies is recommended to address stress and burnout in FMHNs.

Citation

ID: 89520
Ref Key: newman2020ajournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
89520
Unique Identifier:
10.1097/JFN.0000000000000271
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet