识别芝加哥警察介入紧急服务的高频使用者。
Identifying Chicago's High Users of Police-Involved Emergency Services.
机构信息
Andrea Ruth Tentner, Amy Spellman, Cameron Day, and Ruth Coffman are with University of Chicago Urban Labs, Chicago, IL. Allison Paulson and Tonie Sadler are with University of Chicago Urban Labs, and University of Chicago School of Social Service Administration, Chicago. Harold A. Pollack is with University of Chicago Urban Labs, University of Chicago School of Social Service Administration, and University of Chicago Biological Science Division, Department of Public Health Sciences.
出版信息
Am J Public Health. 2019 Apr;109(4):607-613. doi: 10.2105/AJPH.2018.304923. Epub 2019 Feb 21.
OBJECTIVES
To identify individuals at risk for behavioral health (BH)-involved encounters with police in Chicago, Illinois.
METHODS
We linked Chicago Police Department (CPD) arrest and Fire Department (CFD) BH-involved ambulance event data. We identified at-risk individuals who accumulated at least 1 BH-involved ambulance and at least 1 arrest event between May 2016 and April 2017. We identified a high-use subgroup displaying most intensive services use. We identified high-use locations with highest volume of ambulance events with only CFD data.
RESULTS
Of 83 392 individuals and 116 105 events in the linked emergency events data, 1842 at-risk individuals accounted for 2.2% of individuals, 5.6% of all events, and 16% of BH-involved CFD events with police involvement. A total of 330 high-use individuals accounted for 0.4% of individuals, 2% of events, and 4.7% of CFD events with police involvement. Top-100 high-use locations accounted for 9% of CFD events, and individuals of high-use location events are largely distinct from high-use individuals.
CONCLUSIONS
Integrated police and ambulance data hold promise to identify individuals at risk for BH-involved encounters with police and to support proactive interventions to prevent or improve response at these encounters.
目的
在伊利诺伊州芝加哥市识别有行为健康（BH）相关警察遭遇风险的个体。
方法
我们将芝加哥警察局（CPD）逮捕和消防局（CFD）BH 相关救护车事件数据进行了关联。我们确定了高危个体，这些个体在 2016 年 5 月至 2017 年 4 月期间至少有 1 次 BH 相关救护车事件和至少 1 次逮捕事件。我们确定了一个高使用亚组，该亚组显示出最密集的服务使用。我们仅使用 CFD 数据确定了使用救护车事件数量最多的高使用地点。
结果
在链接的紧急事件数据中，有 83392 个人和 116105 次事件，1842 名高危个体占个体的 2.2%，占所有事件的 5.6%，占有警察参与的 BH 相关 CFD 事件的 16%。共有 330 名高使用个体占个体的 0.4%，占事件的 2%，占有警察参与的 CFD 事件的 4.7%。前 100 个高使用地点占 CFD 事件的 9%，高使用地点事件的个体与高使用个体有很大的不同。
结论
整合警察和救护车数据有望识别有 BH 相关警察遭遇风险的个体，并支持主动干预，以预防或改善这些遭遇的反应。
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