Accepted for/Published in: JMIR Human Factors
Date Submitted: Sep 7, 2023
Date Accepted: Feb 6, 2024
Designing a novel digitally delivered antiracism intervention for mental health clinicians: an exploratory analysis of acceptability
ABSTRACT
Background:
There is a great need for evidence-based antiracism interventions targeting mental health clinicians to help mitigate mental health disparities in racially and ethnically minoritized groups.
Objective:
This study provides an exploratory analysis of mental health clinicians’ perspectives of acceptability of a web-based antiracism intervention.
Methods:
Mental health clinicians were recruited from a single academic medical center through outreach emails. Data was collected through individual thirty-minute semi-structured virtual video interviews with participants, then recorded, transcribed, analyzed using content analysis.
Results:
12 mental health clinicians completed the study, 83% were female. Over half, (n=7/12, 58%) of respondents desired more robust antiracism training in mental healthcare. Regarding the web-based antiracism intervention, (8/12, 67%) enjoyed the digitally-delivered demo module, (7/12, 58%) of respondents suggested web-based content would be further enhanced with the addition of in-person or online group components.
Conclusions:
Our results suggest a strong need for additional antiracist training for mental health clinicians. Overall, participants responded favorably to novel web-based delivery methods for an antiracism intervention. These findings provide important support for future development and pilot testing of a large-scale digitally-enhanced antiracist curriculum targeting mental health clinicians.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.