Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, QLD, Australia.
School of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Aust N Z J Psychiatry. 2022 Feb;56(2):144-153. doi: 10.1177/00048674211009604. Epub 2021 Apr 27.
Police and paramedics play a crucial role in responding to suicide crises in the community. However, little is known about the nature, extent, precipitating factors, pathways and outcomes of a suicide-related call to emergency services and what responses will most effectively and compassionately meet the needs of those in crisis. (PiP) was established to address these knowledge gaps.
This article describes (1) the methodology used to construct the PiP dataset, a population-wide linked dataset that investigates the characteristics and health pathways of individuals in Queensland who were the subject of a suicide-related call to police or paramedics; and (2) preliminary findings on service demand, demographics and health services utilisation.
We identified 219,164 suicide-related calls to Queensland Police Service or Queensland Ambulance Service that were made over the 3-year period 1 February 2014 to 31 January 2017. A total of 70,893 individuals were identifiable via records linkage. The cohort linked to more than 7,000,000 health records. We estimated that police or paramedics in Queensland received on average 209 calls per day, with increases year on year over the study period. Analysis of demographic data highlighted the heterogeneous nature of this cohort and important demographic variations between individuals in contact with police versus ambulance services.
The PiP dataset provides a strong foundation for a multi-modal dataset that can be built on over time, both cross-sectionally and longitudinally. Further linkages to Medicare Benefits Schedule, Pharmaceutical Benefits Scheme and social care datasets are planned.
Detailed population-level analysis that data linkage can provide is critical to improving understanding and responses to suicide crisis situations. The PiP study is a world first and provides a unique opportunity to improve responses to this public health problem.
警察和护理人员在应对社区自杀危机方面发挥着至关重要的作用。然而,对于与自杀相关的紧急服务呼叫的性质、程度、促成因素、途径和结果,以及哪些反应最能有效地和富有同情心满足危机中的人的需求,我们知之甚少。(PiP)的建立是为了填补这些知识空白。
本文描述了(1)构建 PiP 数据集的方法,该数据集是一个全人群的关联数据集,用于调查昆士兰州与自杀相关的紧急服务呼叫对象的个体的特征和健康途径;以及(2)服务需求、人口统计学和卫生服务利用的初步发现。
我们确定了 2014 年 2 月 1 日至 2017 年 1 月 31 日期间昆士兰州警察局或昆士兰救护车服务接到的 219164 次与自杀相关的呼叫。通过记录链接,共有 70893 人可被识别。该队列与超过 700 万份健康记录相关联。我们估计,昆士兰州的警察或护理人员平均每天接到 209 个电话,研究期间每年都有所增加。对人口统计学数据的分析突出了该队列的异质性,以及与警察和救护车服务接触的个体之间的重要人口统计学差异。
PiP 数据集为多模式数据集提供了坚实的基础,可以随着时间的推移不断建立,无论是在横截面还是纵向。计划进一步与医疗保险福利表、药品福利计划和社会护理数据集进行链接。
数据链接可以提供详细的人群水平分析,对于改善对自杀危机情况的理解和反应至关重要。PiP 研究是世界首创,为改善对这一公共卫生问题的反应提供了独特的机会。