Title |
A two-way street: bridging implementation science and cultural adaptations of mental health treatments
|
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Published in |
Implementation Science, August 2013
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DOI | 10.1186/1748-5908-8-90 |
Pubmed ID | |
Authors |
Leopoldo J Cabassa, Ana A Baumann |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 53% |
Canada | 2 | 11% |
Nigeria | 1 | 5% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 47% |
Scientists | 8 | 42% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Argentina | 2 | <1% |
Sierra Leone | 1 | <1% |
Norway | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Unknown | 320 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 66 | 20% |
Researcher | 61 | 18% |
Student > Master | 45 | 14% |
Student > Doctoral Student | 37 | 11% |
Other | 15 | 5% |
Other | 48 | 15% |
Unknown | 59 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 92 | 28% |
Social Sciences | 71 | 21% |
Medicine and Dentistry | 37 | 11% |
Nursing and Health Professions | 23 | 7% |
Computer Science | 5 | 2% |
Other | 21 | 6% |
Unknown | 82 | 25% |