@article{ccb0aa422ad04a86aba708e61ea20721,
title = "Importance of behavioral therapy in patients hospitalized for post-traumatic stress disorder (PTSD) with opioid use disorder",
abstract = "Objective: To analyze differences in demographic pattern and hospitalization outcomes in post-traumatic stress disorder (PTSD) with opioid use disorder (OUD) patients managed with versus without behavioral therapy (BT). Methods: We conducted case-control study using Nationwide Inpatient Sample and identified PTSD and OUD using ICD–9–CM codes. Linear regression model was used to evaluate impact of BT on inpatient stay and cost. Results: We analyzed 1531 inpatient admissions and 786 patients received BT. Females had higher odds of receiving BT during inpatient management for PTSD with OUD (OR 1.210; 95% CI 1.020–1.436). About 63.1% patients receiving BT were benefited by Medicaid. Patients receiving BT had an increase in hospital stay by 1.27 days (P = 0.085) and hospitalization cost by $4734 (P = 0.018). There were no transfers to short term hospitals and lower transfers to skilled nursing facility (3.8% vs. 10.1%) in patients receiving BT. Conclusion: This study aims to reinforce combination management with psychotropic medications and BT in PTSD patients with comorbid OUD during hospitalization as it significantly decreases adverse disposition of the patient and thereby improves the quality of life post-treatment.",
keywords = "Behavioral therapy, Inpatient psychiatry, Opioid use, Post-traumatic stress disorder, PTSD",
author = "Patel, {Rikinkumar S.} and Geetha Manikkara and Priya Patel and Jupi Talukdar and Zeeshan Mansuri",
note = "Funding Information: We collected data from the National Inpatient Sample (NIS) of Healthcare Cost and Utilization Project [18]. The database processes and stores information on inpatients admissions and discharges from approximately 1050 hospitals across the United States of America. Per year, it records cross-sectional data on eight million inpatient admissions and discharges and reflects a 20% stratified sample of all non-federal hospitals. It is the largest all payers{\textquoteright} dataset accessible at present. The information on each admission comprises one primary discharge diagnosis and up to 25 secondary diagnoses. The dataset does not include information on long-term care and rehabilitation facilities utilized. As the data is unweighted, the weighted estimate of the total discharge number of the US population results when the discharge weight is applied to the unweighted data. The NIS is sponsored by the Agency for Healthcare Research and Quality (AHRQ) [18] and does not require the approval from the Institutional Review Board (IRB) as the data is de-identified. Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2018",
month = aug,
day = "12",
doi = "10.3390/bs8080073",
language = "English",
volume = "8",
journal = "Behavioral Sciences",
issn = "2076-328X",
publisher = "MDPI Multidisciplinary Digital Publishing Institute",
number = "8",
}