Predictors of Five-Year Readmission to an Inpatient Service among Patients with Alcohol Use Disorders

Report from a Low-Middle Income Country

Bibliographic Data

ID21646341
AuthorsAbhishek Ghosh (0000-0002-5017-9606, Drug De-addiction & Treatment Centre & Department of Psychiatry, Postgraduate Institute of medical Education & Research, Chandigarh, Chandigarh, India, corresponding author), Nidhi Sharma (0000-0002-9185-5893, Department of Psychiatry, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India), Dalton Noble (Department of Psychiatry, IVY Hospital, Nawanshahr, Punjab, India), Debasish Basu (0000-0002-3643-5984, Drug De-addiction & Treatment Centre & Department of Psychiatry, Postgraduate Institute of medical Education & Research, Chandigarh, Chandigarh, India), S K Mattoo (Consultant Psychiatrist, Community Mental Health Clinic, Cumbria Northumberland Tyne and Wear Foundation NHS Trust, Molineux NHS Centre, Byker, Newcastle Upon Tyne, UK), Subodh BN (Drug De-addiction & Treatment Centre & Department of Psychiatry, Postgraduate Institute of medical Education & Research, Chandigarh, Chandigarh, India), Renjith R Pillai (0000-0002-7102-7986, Post Graduate Institute of Medical Education and Research)
Year2022
Volume57
Issue1
Pages123-133
Publication date2022-01-02
Open AccessNo
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2021.1990341
PMID34668819
OpenAlexW3206454624
LanguageEN
Citations received2
References cited41

Background Alcohol use disorder (AUD) is a relapsing-remitting disease that accounted for a sizable proportion of all-cause adult inpatient stays.Objectives To determine the predictors of any and multiple readmissions to inpatient care for AUD within 5 years of the index admission.Methods This retrospective, register-based cohort study assessed consecutive patients with AUD admitted to a publicly-funded inpatient service between January 2007 and December 2014. Binary logistic regression was used to determine independent predictors for readmissions based on relevant demographic, clinical, and treatment variables that showed significant differences (p < 0.05) on univariate analysis.Results Among 938 patients (age 35.9 ± 10.3 years; duration of alcohol use 159.6 ± 104.5 months; dual diagnosis 19%; comorbidity of substance use disorder 49.3%; medical disorder 34.8%, 299 (31.9%) and 115 (12.3%) had any and multiple readmissions, respectively. Comorbid “severe mental illness” (Odds ratio [OR] 1.99, 95% confidence interval [CI] 1.11-3.57) and urban residence (OR 1.58, 95% CI 1.13-2.18) increased the odds of any readmission; “Improved” status at discharge (OR 0.51, 95% CI 0.35-0.72) during index hospitalization reduced odds of readmission. Additionally, any medical or psychiatric comorbidities increased (OR 2.23, 95% CI 1.26-3.97), and comorbid substance use disorder decreased (OR 0.41, 95% CI 0.19-0.89) risk of multiple readmissions.Conclusions Clinicians could identify patients at-risk for any and multiple readmissions during the index hospitalization. A policy aimed at reducing the risk of rehospitalization, healthcare cost, and stigma should pay attention to the predictors of readmission. Such policy should further benefit resource-limited settings

Alcohol · Alcohol use disorder · Comorbidity · Confidence interval · Health care · Inpatient care · Logistic regression · Odds ratio · Psychiatry · Retrospective cohort study · Alcoholism and Thiamine Deficiency · Homelessness and Social Issues · Medicine · Substance Abuse Treatment and Outcomes · Emergency Medicine · Internal Medicine · Pediatrics

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