Leveraging Measurement-Based Care to Reduce Mental Health Treatment Disparities for Populations of Color.
Jessica BarberAmber W ChildsSandra ResnickElizabeth H ConnorsPublished in: Administration and policy in mental health (2024)
Disparities in mental health treatment have consistently been documented for clients of color as compared to White clients. Most mental health care disparities literature focuses on access to care at the point of initial engagement to treatment, resulting in a dearth of viable solutions being explored to retain clients in care once they begin. Measurement-based care (MBC) is a person-centered practice that has been shown to improve the therapeutic relationship, make treatment more personalized, and empower the client to have an active role in their care. Problems with therapeutic alliance and treatment relevance are associated with early termination for communities of color in mental health services. However, MBC has not been explored as a clinical practice to address therapeutic alliance and continual engagement for people of color seeking mental health care. This Point of View describes several MBC features that may be able to impact current sources of disparity in mental health treatment quality and provides a rationale for each. Our hope is that the field of MBC and progress feedback will more explicitly consider the potential of MBC practices to promote equity and parity in mental health services of color and will start to explore these associations empirically. We also discuss whether MBC should be culturally adapted to optimize its relevance and effectiveness for communities of color and other groups experiencing marginalization. We propose that MBC has promise to promote equitable mental health service quality and outcomes for communities of color.
Keyphrases
- mental health
- healthcare
- palliative care
- quality improvement
- systematic review
- randomized controlled trial
- primary care
- type diabetes
- clinical practice
- affordable care act
- public health
- machine learning
- risk assessment
- metabolic syndrome
- skeletal muscle
- social media
- hiv testing
- deep learning
- climate change
- men who have sex with men
- drinking water