Using Hospitalization and Mortality Data to Identify Areas at Risk for Adolescent Suicide
Using Hospitalization and Mortality Data to Identify Areas at Risk for Adolescent Suicide
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DOI：
10.1016/j.jadohealth.2017.02.020
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发表时间：
2017-08-01
影响因子：
7.6
通讯作者：
Aseltine, Robert H.
中科院分区：
文献类型：
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作者：
Chen, Kun;Aseltine, Robert H.
目的：本研究的目的是利用全州范围内因自杀未遂住院的数据和自杀死亡率来确定有青少年自杀风险的社区和学区。方法：对康涅狄格州法医办公室和康涅狄格州医院住院患者出院数据库的五年数据（2010-2014 年）进行了分析。使用混合效应泊松回归模型来评估在调整 10 个社区特征后，该州 119 个学区的自杀企图/死亡率是否显着高于或低于预期。结果：在考虑其社区特征后，10 个学区的自杀行为风险显着较高，自杀死亡率/住院率范围为预期率的 154% 至 241%。考虑到社区层面的优势和劣势后，四个地区的自杀未遂风险被确定为显着低于预期。结论：捕获自杀未遂住院和自杀死亡数据可以通过确定应分配资源的高风险区域以及可以深入了解自杀预防最佳实践的低风险区域来为预防活动提供信息。 (C) 2017 年青少年健康与医学协会。版权所有。
Purpose: The purpose of this study is to use statewide data on inpatient hospitalizations for suicide attempts and suicide mortality to identify communities and school districts at risk for adolescent suicide.Methods: Five years of data (2010-2014) from the Office of the Connecticut Medical Examiner and the Connecticut Hospital Inpatient Discharge Database were analyzed. A mixed-effects Poisson regression model was used to assess whether suicide attempt/mortality rates in the state's 119 school districts were significantly better or worse than expected after adjusting for 10 community-level characteristics.Results: Ten districts were at significantly higher risk for suicidal behavior, with suicide mortality/hospitalization rates ranging from 154% to 241% of their expected rates, after accounting for their community characteristics. Four districts were identified as having significantly lower risk for suicide attempts than expected after accounting for community-level advantages and disadvantages.Conclusions: Data capturing hospitalization for suicide attempts and suicide deaths can inform prevention activities by identifying high-risk areas to which resources should be allocated, as well as low-risk areas that may provide insight into the best practices in suicide prevention. (C) 2017 Society for Adolescent Health and Medicine. All rights reserved.