Brief report on screening data from a randomized controlled trial of in-hospital buprenorphine initiation strategies

Abstract Objectives Buprenorphine (BUP) is effective for treating opioid use disorder and chronic pain (CP); however, there are missed opportunities for initiation during hospitalization. We conducted a clinical trial of in-hospital BUP initiation strategies (NCT 05118204, registered on ClinicalTrials.gov on 2021-11-11) and reviewed electronic health record data (EHR) to identify potentially eligible patients for BUP treatment. We present trial screening data to analyze the efficiency of EHR surveillance to identify BUP-eligible patients. Methods Recruitment occurred between 10/2022 and 10/2024 at two urban teaching hospitals. An automated EHR algorithm generated a daily list of patients with likely opioid misuse or OUD. Preliminary manual review of the EHR algorithm was conducted by staff, who then contacted potentially eligible patients and their physicians before assessing for trial eligibility and BUP treatment. If patients were not assessed, research assistants use pre-specified categories to document reasons why. Results The algorithm produced 9140 records for screening and 8534 (93%) were excluded based on preliminary manual review. Of 434 potentially BUP-eligible patients, only 43 agreed to be assessed for the trial. Of the 43 patients, 29 were eligible and 23 enrolled in the trial and started BUP, yielding a 5% initiation rate among the pool of potentially eligible patients. Conclusions While the automated EHR algorithm identified patients potentially eligible for BUP, substantial manual review was required. Improving algorithm precision, for example with artificial intelligence applications, could better identify BUP-eligible patients; nonetheless, our experience suggests that patient concerns and potential stigma regarding BUP present as ongoing obstacles to BUP uptake.

Authors

Publication Details

Journal
Addiction Science & Clinical Practice
Published
2026-10-08
DOI
https://doi.org/10.1186/s13722-026-00731-w
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Brief report on screening data from a randomized controlled trial of in-hospital buprenorphine initiation strategies

Kelly S. Ramsey, Megan M. Ghiroli, Joanna L. Starrels, Aaron D. Fox et al.
Addiction Science & Clinical Practice
Opioid Use Disorder Treatment
article

Brief report on screening data from a randomized controlled trial of in-hospital buprenorphine initiation strategies

Kelly S. Ramsey, Megan M. Ghiroli, Joanna L. Starrels, Aaron D. Fox, Kristine Torres‐Lockhart, Michele J. Buonora, Laila Khalid, Annika Sabado, Abigail Haber, Marilyn Reyes, Guillermo Sanchez-Fat, Yuting Deng
article en

Abstract

Abstract Objectives Buprenorphine (BUP) is effective for treating opioid use disorder and chronic pain (CP); however, there are missed opportunities for initiation during hospitalization. We conducted a clinical trial of in-hospital BUP initiation strategies (NCT 05118204, registered on ClinicalTrials.gov on 2021-11-11) and reviewed electronic health record data (EHR) to identify potentially eligible patients for BUP treatment. We present trial screening data to analyze the efficiency of EHR surveillance to identify BUP-eligible patients. Methods Recruitment occurred between 10/2022 and 10/2024 at two urban teaching hospitals. An automated EHR algorithm generated a daily list of patients with likely opioid misuse or OUD. Preliminary manual review of the EHR algorithm was conducted by staff, who then contacted potentially eligible patients and their physicians before assessing for trial eligibility and BUP treatment. If patients were not assessed, research assistants use pre-specified categories to document reasons why. Results The algorithm produced 9140 records for screening and 8534 (93%) were excluded based on preliminary manual review. Of 434 potentially BUP-eligible patients, only 43 agreed to be assessed for the trial. Of the 43 patients, 29 were eligible and 23 enrolled in the trial and started BUP, yielding a 5% initiation rate among the pool of potentially eligible patients. Conclusions While the automated EHR algorithm identified patients potentially eligible for BUP, substantial manual review was required. Improving algorithm precision, for example with artificial intelligence applications, could better identify BUP-eligible patients; nonetheless, our experience suggests that patient concerns and potential stigma regarding BUP present as ongoing obstacles to BUP uptake.

Addiction Science & Clinical Practice
Openalex Percentile: Top 10%
Opioid Use Disorder Treatment
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