@article{ref1,
title="Using hospitalization and mortality data to identify areas at risk for adolescent suicide",
journal="Journal of Adolescent Health",
year="2017",
author="Chen, Kun and Aseltine, Robert H.",
volume="61",
number="2",
pages="192-197",
abstract="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. <br><br>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. <br><br>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. <br><br>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.<br><br>Copyright © 2017 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="1054-139X",
doi="10.1016/j.jadohealth.2017.02.020",
url="http://dx.doi.org/10.1016/j.jadohealth.2017.02.020"
}