Effects of Telehealth on Dropout and Retention in Care among Treatment-Seeking Individuals with Substance Use Disorder

A Retrospective Cohort Study

Bibliographic Data

ID21646751
AuthorsDanielle Gainer (0000-0002-6591-7579, Wright State University Boonshoft School of Medicine, Fairborn, Ohio, USA, corresponding author), Celeste Wong (Verily Life Sciences, South San Francisco, California, USA), Jared Embree (Wright State University), Jared A Embree (Wright State University Boonshoft School of Medicine, Fairborn, Ohio, USA), Nina Sardesh (Verily Life Sciences, South San Francisco, California, USA), Amna Amin (OneFifteen / Samaritan Behavioral Health, Inc., Dayton, Ohio, USA), Natalie Lester (0000-0002-9725-276X, Wright State University Boonshoft School of Medicine, Fairborn, Ohio, USA)
Year2023
Volume58
Issue4
Pages481-490
Publication date2023-03-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2023.2167496
PMID36710568
OpenAlexW4318464956
LanguageEN
Citations received5
References cited30

Background: During the COVID-19 pandemic, telehealth became a widely used method of delivering treatment for substance use disorders (SUD), but its impact upon treatment engagement and dropout remains unknown. Methods: We conducted a retrospective analysis of adult SUD patients (n = 544) between October 2020 and June 2022 among a cohort of treatment-seeking patients at a nonprofit community behavioral health center in Southwestern Ohio. We estimated the likelihood of treatment dropout using survival curves and Cox proportional hazard models, comparing patients who used telehealth with video, telephone, or solely in-person services within the first 14 days of diagnosis. We also compared the likelihood of early treatment engagement. Results: Patients who received services through telehealth with video in the initial 14 days of diagnosis had a lower hazard of dropout, compared to patients receiving solely in-person services (0.64, 95% CI [0.46, 0.90]), while there was no difference in hazards of dropout between patients who received telephone and in-person services. Early use of telehealth, both via video (5.40, 95% CI [1.92, 15.20]) and telephone (2.12, 95% CI [1.05, 4.28]), was associated with greater odds of treatment engagement compared to in-person care. Conclusion: This study adds to the existing literature related to telehealth utilization and engagement in care and supports the inclusion of telehealth in SUD treatment programs for treatment-seeking individuals

Cohort · Confidence interval · Hazard ratio · Health care · Logistic regression · Odds · Proportional hazards model · Psychiatry · Retrospective cohort study · Telehealth · Telemedicine · Digital Mental Health Interventions · Medicine · Mobile Health and mHealth Applications · Telemedicine and Telehealth Implementation · Internal Medicine