Stephen J Liu1, Christina Mair2, Thomas J Songer2, Elizabeth E Krans3, Abdus Wahed2, Evelyn Talbott2. 1. University of Pittsburgh, Graduate School of Public Health, 130 DeSoto St, Pittsburgh, 15261 PA, USA. Electronic address: STL45@pitt.edu. 2. University of Pittsburgh, Graduate School of Public Health, 130 DeSoto St, Pittsburgh, 15261 PA, USA. 3. University of Pittsburgh, Department of Obstetrics, Gynecology and Reproductive Sciences, 300 Halket Street, Pittsburgh, 15213 PA, USA; Magee-Womens Research Institute, 204 Craft Avenue, Pittsburgh, 15213 PA, USA.
Abstract
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. 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. 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. 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.
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. 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 heroinpoisoning. 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. 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. 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.
Authors: Neeraj Chhabra; Dale L Smith; Caitlin M Maloney; Joseph Archer; Brihat Sharma; Hale M Thompson; Majid Afshar; Niranjan S Karnik Journal: Int J Environ Res Public Health Date: 2022-07-21 Impact factor: 4.614
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