TY  - JOUR
PY  - 2019//
TI  - Opioid-related hospitalizations in Pennsylvania: a latent class analysis
JO  - Drug and alcohol dependence
A1  - Liu, Stephen J.
A1  - Mair, Christina
A1  - Songer, Thomas J.
A1  - Krans, Elizabeth E.
A1  - Wahed, Abdus
A1  - Talbott, Evelyn
SP  - 185
EP  - 190
VL  - 202
IS  - 
N2  - BACKGROUND: Opioid abuse is associated with substantial morbidity and often results in hospitalization. Despite this, patient-level factors associated with opioid-related hospitalizations are not well understood. <br><br>METHODS: We used the Pennsylvania Health Care Cost Containment Council dataset (2000-2014) to identify opioid-related hospitalizations using primary and/or secondary ICD-9-CM hospital discharge codes for opioid use disorder (OUD), opioid poisoning, and heroin poisoning. Latent class analyses (LCA) of patient-level factors including sociodemographic characteristics, pregnancy, alcohol, tobacco, other substance use, and psychiatric disorders were used to identify common patterns within hospitalizations. <br><br>RESULTS: Among 28,538,499 hospitalizations, 430,569 (1.5%) were opioid-related. LCA identified five latent class (LC) patient groups associated with opioid-related hospitalizations: pregnant women with OUD (LC1); women over 65 with opioid overdose (LC2); OUD, polysubstance use and co-occurring psychiatric disorders (LC3); patients with opioid overdose without co-occurring polysubstance use (LC4); and African American patients with OUD and co-occurring cocaine use (LC5). LC3 was the largest latent class (58.2%) with annual hospitalizations doubling over time. <br><br>DISCUSSION: Among patients with opioid-related discharges, we identified five subpopulations among this sample. These findings suggest increased outpatient OUD treatment, mental health service support for patients with co-occurring psychiatric disorders and polysubstance use to prevent overdose and hospitalization.<br><br>Copyright © 2019. Published by Elsevier B.V.<p />  <p>Language: en</p>
LA  - en
SN  - 0376-8716
UR  - http://dx.doi.org/10.1016/j.drugalcdep.2019.05.009
ID  - ref1
ER  -