Abstract

Background

Opioid use disorder (OUD) is a deadly illness that remains undertreated, despite effective pharmacological treatments. Barriers, such as stigma, treatment affordability, and a lack of training and prescribing within medical practices result in low access to treatment. Software-delivered measurement-based care (MBC) is one way to increase treatment access. MBC uses systematic patient symptom assessments to inform an algorithm to support clinicians at critical decision points.

Method

Focus groups of faculty clinicians (N = 33) from 3 clinics were conducted to understand perceptions of OUD diagnosis and treatment and whether a computerized MBC model might assist with diagnosis and treatment. Themes from the transcribed focus groups were identified in two phases: (1) content analysis focused on uncovering general themes; and (2) systematic coding and interpretation of the data.

Results

Analysis revealed six major themes utilized to develop the coding terms: “distinguishing between chronic pain and OUD,” “current practices with patients using prescribed or illicit opioids or other drugs,” “attitudes and mindsets about providing screening or treatment for OUD in your practice,” “perceived resources needed for treating OUD,” “primary care physician role in patient care not specific to OUD,” and “reactions to implementation of proposed clinical decision support tool.”

Conclusion

Results revealed that systemic and attitudinal barriers to screening, diagnosing, and treating OUD continue to persist. Providers tended to view the software-based MBC program favorably, indicating that it may be a solution to increasing accessibility to OUD treatment; however, further interventions to combat stigma would likely be needed prior to implementation of these programs.

Trial Registration

ClinicalTrials.gov; NCT04059016; 16 August 2019; retrospectively registered; https://clinicaltrials.gov/ct2/show/NCT04059016.

Details

Title
Stigma towards opioid use disorder in primary care remain a barrier to integrating software-based measurement based care
Author
dela Cruz, Adriane M; Karns-Wright, Tara; Farra Kahalnik; Walker, Robrina; Lanham, Holly J; Jennifer Sharpe Potter; Trivedi, Madhukar H
Pages
1-9
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2890068223
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.