Kimberly J. Mitchell PhD , Jennifer E. O'Brien PhD , Ateret Gewirtz-Meydan PhD
{"title":"帮助识别儿童性虐待材料调查员警察职业倦怠的自我评估工具","authors":"Kimberly J. Mitchell PhD , Jennifer E. O'Brien PhD , Ateret Gewirtz-Meydan PhD","doi":"10.1016/j.focus.2024.100245","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Law enforcement professionals who investigate crimes involving child sexual abuse material face increased risk of mental health challenges, including burnout. This study aims to develop a data-driven self-assessment tool for law enforcement personnel exposed to child sexual abuse material. The tool assesses burnout symptoms and related mental health issues, offering a proactive approach to identifying and supporting individuals at risk.</p></div><div><h3>Methods</h3><p>A mixed-methods investigation involved 500 police investigators and forensic examiners across the U.S. The study utilized a convenience sample recruited through various channels connected with the National Criminal Justice Training Center.</p></div><div><h3>Results</h3><p>Twenty percent of participants exhibited high burnout. The Burnout Self-Assessment Tool demonstrated a sensitivity of 69.6% and specificity of 74.6% at a cut-off point ≥2, correctly classifying 73.6% of the sample. Individuals with scores ≥2 were 3.47 times more likely to be experiencing high burnout than peers with a score of zero, with increasing odds with each additional score. High burnout was associated with longer tenure in current positions.</p></div><div><h3>Conclusions</h3><p>The Burnout Self-Assessment Tool offers a short and simple self-assessment tool for law enforcement professionals exposed to child sexual abuse material, aiding in the early identification of burnout symptoms. A cut-off point ≥2 provides a data-driven strategy for identifying individuals at increased risk, promoting timely intervention and support to mitigate burnout's adverse effects on mental well-being and professional performance. The Burnout Self-Assessment Tool's sensitivity and specificity balance enhances its utility, providing a proactive approach to address the unique mental health challenges faced by law enforcement personnel combating crimes involving child sexual abuse material.</p></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"3 4","pages":"Article 100245"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773065424000634/pdfft?md5=db41cdf285a01c2d51968ccba6584df0&pid=1-s2.0-S2773065424000634-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A Self-Assessment Tool for Helping Identify Police Burnout Among Investigators of Child Sexual Abuse Material\",\"authors\":\"Kimberly J. Mitchell PhD , Jennifer E. O'Brien PhD , Ateret Gewirtz-Meydan PhD\",\"doi\":\"10.1016/j.focus.2024.100245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Law enforcement professionals who investigate crimes involving child sexual abuse material face increased risk of mental health challenges, including burnout. This study aims to develop a data-driven self-assessment tool for law enforcement personnel exposed to child sexual abuse material. The tool assesses burnout symptoms and related mental health issues, offering a proactive approach to identifying and supporting individuals at risk.</p></div><div><h3>Methods</h3><p>A mixed-methods investigation involved 500 police investigators and forensic examiners across the U.S. The study utilized a convenience sample recruited through various channels connected with the National Criminal Justice Training Center.</p></div><div><h3>Results</h3><p>Twenty percent of participants exhibited high burnout. The Burnout Self-Assessment Tool demonstrated a sensitivity of 69.6% and specificity of 74.6% at a cut-off point ≥2, correctly classifying 73.6% of the sample. Individuals with scores ≥2 were 3.47 times more likely to be experiencing high burnout than peers with a score of zero, with increasing odds with each additional score. High burnout was associated with longer tenure in current positions.</p></div><div><h3>Conclusions</h3><p>The Burnout Self-Assessment Tool offers a short and simple self-assessment tool for law enforcement professionals exposed to child sexual abuse material, aiding in the early identification of burnout symptoms. A cut-off point ≥2 provides a data-driven strategy for identifying individuals at increased risk, promoting timely intervention and support to mitigate burnout's adverse effects on mental well-being and professional performance. The Burnout Self-Assessment Tool's sensitivity and specificity balance enhances its utility, providing a proactive approach to address the unique mental health challenges faced by law enforcement personnel combating crimes involving child sexual abuse material.</p></div>\",\"PeriodicalId\":72142,\"journal\":{\"name\":\"AJPM focus\",\"volume\":\"3 4\",\"pages\":\"Article 100245\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2773065424000634/pdfft?md5=db41cdf285a01c2d51968ccba6584df0&pid=1-s2.0-S2773065424000634-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AJPM focus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773065424000634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJPM focus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773065424000634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Self-Assessment Tool for Helping Identify Police Burnout Among Investigators of Child Sexual Abuse Material
Introduction
Law enforcement professionals who investigate crimes involving child sexual abuse material face increased risk of mental health challenges, including burnout. This study aims to develop a data-driven self-assessment tool for law enforcement personnel exposed to child sexual abuse material. The tool assesses burnout symptoms and related mental health issues, offering a proactive approach to identifying and supporting individuals at risk.
Methods
A mixed-methods investigation involved 500 police investigators and forensic examiners across the U.S. The study utilized a convenience sample recruited through various channels connected with the National Criminal Justice Training Center.
Results
Twenty percent of participants exhibited high burnout. The Burnout Self-Assessment Tool demonstrated a sensitivity of 69.6% and specificity of 74.6% at a cut-off point ≥2, correctly classifying 73.6% of the sample. Individuals with scores ≥2 were 3.47 times more likely to be experiencing high burnout than peers with a score of zero, with increasing odds with each additional score. High burnout was associated with longer tenure in current positions.
Conclusions
The Burnout Self-Assessment Tool offers a short and simple self-assessment tool for law enforcement professionals exposed to child sexual abuse material, aiding in the early identification of burnout symptoms. A cut-off point ≥2 provides a data-driven strategy for identifying individuals at increased risk, promoting timely intervention and support to mitigate burnout's adverse effects on mental well-being and professional performance. The Burnout Self-Assessment Tool's sensitivity and specificity balance enhances its utility, providing a proactive approach to address the unique mental health challenges faced by law enforcement personnel combating crimes involving child sexual abuse material.