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Published in: International Journal of Mental Health and Addiction 2/2022

01-04-2022 | Original Article

Predictors of Dropout from an Outpatient Treatment Program for Substance Use Disorders in India: a Retrospective Cohort Study of Patients Registered over a 10-Year Period (2009–2018)

Authors: Abhishek Ghosh, Nidhi Sharma, B. N. Subodh, Debasish Basu, Surendra Kumar Mattoo, Renjith R. Pillai

Published in: International Journal of Mental Health and Addiction | Issue 2/2022

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Abstract

This was a retrospective cohort study to determine the predictors of dropout in the first year from an out-patient treatment program for substance use disorders. Study period was from January 1, 2009, to December 31, 2018. Patients registered for detailed evaluation in the outpatient treatment program and followed up at least once were included. The primary end-point was dropout from treatment, defined as no follow-up at four time-points. We used Cox proportional hazard regression model to determine the predictors of dropout. Dropout rate at the end of 12 months: 80.37%. Dispensing free medicines (hazard ratio [HR]: 1.271), and self-treatment referral (HR: 1.116) increased risk of dropout. Dual diagnosis (HR: 0.906) and prescription of maintenance medication (HR: 0.734) reduced the risks of dropout. A priori knowledge of predictors could guide clinicians, service planners, and policymakers to provide tailor-made treatment and reorganize service delivery.
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Metadata
Title
Predictors of Dropout from an Outpatient Treatment Program for Substance Use Disorders in India: a Retrospective Cohort Study of Patients Registered over a 10-Year Period (2009–2018)
Authors
Abhishek Ghosh
Nidhi Sharma
B. N. Subodh
Debasish Basu
Surendra Kumar Mattoo
Renjith R. Pillai
Publication date
01-04-2022
Publisher
Springer US
Published in
International Journal of Mental Health and Addiction / Issue 2/2022
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI
https://doi.org/10.1007/s11469-020-00417-7

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