Reingle Gonzalez Jennifer M, Bishopp Stephen A, Jetelina Katelyn K
Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Dallas Regional Campus, 6011 Harry Hines Blvd. V.8.112, Dallas, TX 75390, USA.
Caruth Police Institute, University of North Texas at Dallas, Dallas, TX, USA.
J Public Health (Oxf). 2016 Sep;38(3):614-620. doi: 10.1093/pubmed/fdv113. Epub 2015 Aug 27.
The limited research on police sexual misconduct (PSM), a common form of police misconduct, suggests that no evidence-based strategies for prevention are available for use by police departments. To identify new avenues for prevention, we critically evaluated 'front-end' police recruiting, screening, hiring and training procedures.
Internal Affairs records were linked with administrative reports and police academy graduation data for officers accused of sexual assault or misconduct between 1994 and 2014. Logistic and proportional hazards regression methods were used to identify predictors of discharge for sustained allegations of PSM and time to discharge, respectively.
Officer's graduating class size was positively associated with odds of discharge for PSM. For every one-officer increase in class size, the rate of discharge for PSM increased by 9% [hazard ratio (HR) = 1.09, P < 0.01]. For particularly large classes (>35 graduates), discharge rates were at least four times greater than smaller classes (HR = 4.43, P < 0.05).
Large class sizes and more annual graduates increase rates of PSM. Officer recruitment strategies or training quality may be compromised during periods of intensive hiring. Trainee to instructor ratios or maximum class sizes may be instituted by academies to ensure that all police trainees receive the required supervision, one-on-one training, feedback and attention necessary to maximize public safety.
警察性不当行为（PSM）是警察不当行为的一种常见形式，相关研究有限，这表明警察部门没有基于证据的预防策略可供使用。为了确定新的预防途径，我们严格评估了警察招募、筛选、聘用和培训的“前端”程序。
将内部事务记录与1994年至2014年间被指控性侵犯或行为不当的警察的行政报告及警察学院毕业数据相联系。分别使用逻辑回归和比例风险回归方法来确定因PSM持续指控而被解雇的预测因素以及解雇时间。
警察所在毕业班规模与因PSM被解雇的几率呈正相关。班级规模每增加一名警察，因PSM被解雇的比率就增加9%[风险比（HR）=1.09，P<0.01]。对于特别大的班级（>35名毕业生），解雇率至少是较小班级的四倍（HR=4.43，P<0.05）。
大班规模和更多的年度毕业生会增加PSM发生率。在密集招聘期间，警察招募策略或培训质量可能会受到影响。警察学院可以制定学员与教员的比例或最大班级规模，以确保所有警察学员都能得到必要的监督、一对一培训、反馈以及为最大限度保障公共安全所需的关注。
