A two-way street: bridging implementation science and cultural adaptations of mental health treatments
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BACKGROUND: Racial and ethnic disparities in the United States exist along the entire continuum of mental health care, from access and use of services to the quality and outcomes of care. Efforts to address these inequities in mental health care have focused on adapting evidence-based treatments to clients' diverse cultural backgrounds. Yet, like many evidence-based treatments, culturally adapted interventions remain largely unused in usual care settings. We propose that a viable avenue to address this critical question is to create a dialogue between the fields of implementation science and cultural adaptation. In this paper, we discuss how integrating these two fields can make significant contributions to reducing racial and ethnic disparities in mental health care. DISCUSSION: The use of cultural adaptation models in implementation science can deepen the explicit attention to culture, particularly at the client and provider levels, in implementation studies making evidence-based treatments more responsive to the needs and preferences of diverse populations. The integration of both fields can help clarify and specify what to adapt in order to achieve optimal balance between adaptation and fidelity, and address important implementation outcomes (e.g., acceptability, appropriateness). A dialogue between both fields can help clarify the knowledge, skills and roles of who should facilitate the process of implementation, particularly when cultural adaptations are needed. The ecological perspective of implementation science provides an expanded lens to examine how contextual factors impact how treatments (adapted or not) are ultimately used and sustained in usual care settings. Integrating both fields can also help specify when in the implementation process adaptations may be considered in order to enhance the adoption and sustainability of evidence-based treatments. SUMMARY: Implementation science and cultural adaptation bring valuable insights and methods to how and to what extent treatments and/or context should be customized to enhance the implementation of evidence-based treatments across settings and populations. Developing a two-way street between these two fields can provide a better avenue for moving the best available treatments into practice and for helping to reduce racial and ethnic disparities in mental health care.
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Evidence-based culturally adapted treatments remain largely unused in usual care settings in the US.
“While evidence-based culturally adapted treatments have been available for some time, US experience suggests they remain ‘largely unused in usual care settings’ [13].”
From Development and evaluation of culturally sensitive psychosocial interventions for under-served people in primary care (2014) · cites this paper as [13]
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- Authors
- Cabassa, L. J., & Baumann, A. A.
- Affiliations
- Columbia University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Cabassa, Leopoldo J
- Venue
- Implementation Science
- Published
- 2013-08-19
- Volume
- 8
- Issue
- 1
- Pages
- 90-90
- ISSN
- 1748-5908 (ISSN-L)
- PMC
- PMC3765289
- OpenAlex
- W2149971315
- Cited by
- 290
- References
- 109
- Citations by year
- 2026: 29 · 2025: 27 · 2024: 28 · 2023: 33 · 2022: 40 · 2021: 29 · 2020: 24 · 2019: 15 · 2018: 20 · 2017: 11 · 2016: 15 · 2015: 10 · 2014: 8
- FWCI
- 1.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Implementation Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- New York State Office of Mental Health
- National Institutes of Health (UL1TR000448, TR000448)
- National Institute of Mental Health (K01MH091118, R25MH080916)
- National Cancer Institute (U54CA155496)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Sociology and Political Science › Cultural Competency in Health Care
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- cultural adaptation, evidence-based treatment, racial and ethnic disparities, mental health services, implementation outcomes, acceptability, ecological perspective
- MeSH terms
- Mental Disorders, Culture, Humans, Mental Health Services, United States, Evidence-Based Medicine, Healthcare Disparities, Translational Research, Biomedical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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