Prediction of violence or threat of violence among employees in social work, healthcare and education: the Finnish Public Sector cohort study.
Prediction of violence or threat of violence among employees in social work, healthcare and education: the Finnish Public Sector cohort study.
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社会工作，医疗保健和教育中员工中暴力或暴力威胁的预测：芬兰公共部门队列研究。
DOI：
10.1136/bmjopen-2023-075489
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发表时间：
2023-08-29
期刊：
影响因子：
2.9
通讯作者：
Ervasti, Jenni
中科院分区：
文献类型：
--
作者：
Airaksinen, Jaakko;Pentti, Jaana;Seppala, Piia;Virtanen, Marianna;Ropponen, Annina;Elovainio, Marko;Kivimaki, Mika;Ervasti, Jenni
关键词：
开发一种风险预测算法，用于识别工作场所暴力风险增加的工作单位。前瞻性队列研究。芬兰的公共部门雇员。来自4276个工作单位的18 540名护士、社会工作者和青年工作者以及教师，他们完成了关于工作特点的调查，包括2018-2019年基线和2020-2021年后续工作中工作场所暴力/暴力威胁的流行率和频率。那些每天或每周报告每天接触暴力或暴力威胁的人被排除在外。计算每个工作单位对基线上87个调查项目的回答的平均分数，然后将这些分数分配给该工作单位内的每个员工。这些分数衡量了工作单位的社会人口学特征和工作特征。工作场所暴力在基线和后续期间的增加(0=没有增加，1=增加)。共有7%(323/4487)的注册护士、15%(457/3109)的实习护士、5%(162/3442)的社会工作者和5%(360/7502)的教师(360/7502)报告了比基线时更频繁的暴力/暴力威胁。预测模型预测精度的曲线下面积分别为：社会工作者0.72，护士0.67，教师0.63。针对注册护士的风险预测模型包括五个与后续暴力事件频发有关的工作单位特征。针对实习护士的模式包括6个特征，针对社会工作者和青年工作者的模式包括7个特征，针对教师的模式包括4个在统计上与暴力增加的可能性显著相关的特征。生成的风险预测模型以合理的准确性确定了在工作单位工作的员工未来发生工作场所暴力的可能性很高。这些基于调查的算法可用于针对预防工作场所暴力的干预措施。
To develop a risk prediction algorithm for identifying work units with increased risk of violence in the workplace. Prospective cohort study. Public sector employees in Finland. 18 540 nurses, social and youth workers, and teachers from 4276 work units who completed a survey on work characteristics, including prevalence and frequency of workplace violence/threat of violence at baseline in 2018–2019 and at follow-up in 2020–2021. Those who reported daily or weekly exposure to violence or threat of violence daily at baseline were excluded. Mean scores of responses to 87 survey items at baseline were calculated for each work unit, and those scores were then assigned to each employee within that work unit. The scores measured sociodemographic characteristics and work characteristics of the work unit. Increase in workplace violence between baseline and follow-up (0=no increase, 1=increase). A total of 7% (323/4487) of the registered nurses, 15% (457/3109) of the practical nurses, 5% of the social and youth workers (162/3442) and 5% of the teachers (360/7502) reported more frequent violence/threat of violence at follow-up than at baseline. The area under the curve values estimating the prediction accuracy of the prediction models were 0.72 for social and youth workers, 0.67 for nurses, and 0.63 for teachers. The risk prediction model for registered nurses included five work unit characteristics associated with more frequent violence at follow-up. The model for practical nurses included six characteristics, the model for social and youth workers seven characteristics and the model for teachers included four characteristics statistically significantly associated with higher likelihood of increased violence. The generated risk prediction models identified employees working in work units with high likelihood of future workplace violence with reasonable accuracy. These survey-based algorithms can be used to target interventions to prevent workplace violence.
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影响因子：
1.6
作者：
Kumari A;Kaur T;Ranjan P;Chopra S;Sarkar S;Baitha U
通讯作者：
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DOI：
10.1371/journal.pgph.0000187
发表时间：
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期刊：
PLOS global public health
影响因子：
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作者：
通讯作者：
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影响因子：
4.9
作者：
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通讯作者：
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DOI：
10.3390/ijerph16224439
发表时间：
2019-11-01
影响因子：
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作者：
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通讯作者：
Pedrazza, Monica
影响因子：
14.6
作者：
Ferrie, Jane E.;Virtanen, Marianna;Kivimaki, Mika
通讯作者：
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