Evidence map›Paper›PMID 39022405›Full record

ArticleFrontiers in public health2024

Eliciting psychiatric nurses' preferences for workplace violence prevention: a protocol for discrete choice experiment.

Peng Xie, Hui-Qin Li, Li Tao, Hao Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Measuring the Risk of Violence Through Health Surveillance.International journal of environmental research and public health · 2024
    Article
4 · The record

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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

4 authors.

Peng XiePeople's Hospital of Deyang City, Deyang, China.
Hui-Qin LiPeople's Hospital of Deyang City, Deyang, China.
Li TaoPeople's Hospital of Deyang City, Deyang, China.
Hao YangWest China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Workplace violence against healthcare workers has become a serious global public health problem. The incidence of workplace violence towards Psychiatric nurses is higher than in all other medical institutions, up to 84.2% per year. It not only negatively affects many aspects of healthcare workers' lives, but also destroys the harmony of the nurse-patient relationship and reduces the quality of nursing care. The number of psychiatric nurses in China was approximately 96,000, far lower than most other countries and unable to meet the growing demand for mental health. However, the increase in workplace violence has future exacerbates the current shortage of nurses. Therefore, it is necessary to develop effective strategies to prevent psychiatric nurses from suffering from workplace violence, thereby to reduce nurse turnover and improve the quality of nursing care. A comprehensive understanding of psychiatric nurses' preferences and priorities for preventing workplace violence is an important prerequisite before formulating strategies and taking measures. Unfortunately, to date, no research has investigated the psychiatric nurses' preferences. Therefore, a discrete choice experiment (DCE) is conducting to explore the psychiatric nurses' preferences for workplace violence prevention. This article reports on methodological details of the DCE. Methods and analysis: Six attributes were developed through a literature review, one-on-one interviews and focus group discussions. D-efficient design in NGENE was used to generate choice sets. SPSS 24.0 will be used for descriptive analysis of social Demography, and Stata 16.0 will be used for analysis of DCE data. A multinomial logit model will be used to preliminarily explore trade-offs between workplace violence prevention characteristics included in the choice tasks. Then, in a mixed logit model, we plan to choose some arbitrarily defined base violence prevention program and will use the nlcom command to evaluate the probability of an alternative violence prevention program. Ethics and dissemination: The study was approved by the relevant ethics committees. Our findings will emphasize priority intervention areas based on the preferences of psychiatric nurses and provide references for hospitals to develop and improve workplace violence prevention strategies. The results will be shared through seminars, policy briefs, peer-reviewed journal articles and online blogs.

Indexed as

Psychiatric NursingWorkplace ViolenceAdultAttitude of Health PersonnelChinaChoice BehaviorFemaleFocus GroupsHumansMaleResearch Designdiscrete choice experimentnursing managementprotocolpsychiatric nursesworkplace violence

Identifiers

PMID39022405
PMCPMC11251884

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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.