酒店自杀在澳大利亚2006-2017。

IF 1.7 4区 医学 Q3 PSYCHIATRY Crisis-The Journal of Crisis Intervention and Suicide Prevention Pub Date : 2023-09-01 Epub Date: 2022-12-20 DOI:10.1027/0227-5910/a000888
Nicola A Chen, Katherine Mok, Lauren J McGillivray, Paul Konings, Jason Passioura, Michelle H Torok
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引用次数: 0

摘要

背景:本研究调查了澳大利亚酒店自杀的频率、特征和地理空间聚集性,为自杀预防工作提供信息。目的:(1)确定酒店自杀死亡的比例,(2)确定酒店死亡的人口统计学特征与其他地点相比的差异,(3)评估规划水平,以及(4)确定这些死亡是否形成适合有针对性的自杀预防活动的地理集群。方法:使用自杀死亡率的档案数据来检验事件地点(酒店、家、离家)、人口统计学特征和自杀方式之间的关系。核密度可视化用于评估酒店自杀的地理空间聚类,并使用改进的自杀意向量表评估所涉及的计划程度。结果:酒店占所有自杀死亡人数的2%,占离家自杀人数的6.2%。女性人数过多(p<0.0001),药物过量(p<.0001)和跌倒(p<0.001)导致的死亡人数也过多。大约40%的事件发生在七个地理空间集群内。85%的死亡者是州居民,离家的中位距离为13.0公里。大多数人都是独自入住酒店,短暂停留,并表现出高度的自杀计划。局限性:验尸记录中关于死亡叙述情况的信息有限;其他风险指标可能尚未确定。与酒店客人的一般人群进行比较,而不是与所有其他自杀性死亡进行比较,在预防活动方面会更有用,但这些数据并不容易获得。结论:本研究确定了与酒店自杀相关的特征、行为和地理位置,为培训酒店员工识别和应对风险迹象提供信息。居住在当地并独自短暂停留的工作年龄男性可能被认为自杀风险更高,应在已确定的高风险地区优先开展预防工作。
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Hotel Suicides in Australia 2006-2017.

Background: This study investigated the frequency, characteristics, and geospatial clustering of hotel suicides in Australia to inform suicide prevention efforts. Aims: (1) To determine the proportion of suicide deaths that occurred in hotels, (2) to determine differences in demographic characteristics of hotel deaths compared to other locations, (3) to assess level of planning, and (4) to determine whether these deaths form geographic clusters amenable to targeted suicide prevention activities. Methods: Archival data on suicide mortality were used to examine associations between incident location (hotels, home, away from home), demographic characteristics, and suicide means. Kernel density visualization was used to assess geospatial clustering of hotel suicides, and the degree of planning involved was assessed using the modified Suicide Intent Scale. Results: Hotels accounted for 2% of all suicide deaths and 6.2% of suicides occurring away from home. Females were over-represented (p < .0001), as were deaths by drug overdoses (p < .0001) and falls (p < .0001). Approximately 40% of incidents occurred within seven geospatial clusters. 85% of those who died were state residents, with a median distance from home of 13.0 km. Most individuals checked in to the hotel alone, for short stays, and displayed a high degree of suicidal planning. Limitations: Coronial records had limited information on narrative circumstances of deaths; other indicators of risk may not have been identified. A comparison against a general population of hotel guests, rather than all other suicide deaths would be more useful in terms of preventative activities, however these data were not readily available. Conclusion: This study identified characteristics, behaviors, and geographic locations associated with hotel suicides to inform training of hotel staff to recognize and respond to signs of risk. Males of working age who live locally and arrive alone for short stays could be considered at a higher risk of suicide, and prevention efforts should be prioritized in the identified high-risk areas.

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来源期刊
CiteScore
5.10
自引率
6.70%
发文量
80
期刊介绍: A must for all who need to keep up on the latest findings from both basic research and practical experience in the fields of suicide prevention and crisis intervention! This well-established periodical’s reputation for publishing important articles on suicidology and crisis intervention from around the world is being further enhanced with the move to 6 issues per year (previously 4) in 2010. But over and above its scientific reputation, Crisis also publishes potentially life-saving information for all those involved in crisis intervention and suicide prevention, making it important reading for clinicians, counselors, hotlines, and crisis intervention centers.
期刊最新文献
The Prevalence of Suicidal Ideation According to Occupation and Other Employment Variables. Perceived Effectiveness of Components of Interventions to Support People Bereaved By Suicide. Exploring the Influence of Masculine Norms on Suicidal Ideation and Help-Seeking Behavior. Substitution of Methods in Suicide Deaths - Firearm Injury and Hanging. Using Real-Time Coronial Data to Detect Spatiotemporal Suicide Clusters.
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