Title |
Novel implementation research designs for scaling up global mental health care: overcoming translational challenges to address the world’s leading cause of disability
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Published in |
International Journal of Mental Health Systems, March 2016
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DOI | 10.1186/s13033-016-0049-7 |
Pubmed ID | |
Authors |
Susan M. Meffert, Thomas C. Neylan, David A. Chambers, Helen Verdeli |
Abstract |
Despite established knowledge that Low and Middle Income Countries (LMICs) bear the majority of the world's burden of mental disorders, and more than a decade of efficacy research showing that the most common disorders, such as depression and anxiety, can be treated using readily available local personnel in LMICs to apply evidence-based treatments, there remains a massive mental health treatment gap, such that 75 % of those in LMICs never receive care. Here, we discuss the use of a new type of implementation science study design, the effectiveness-implementation hybrids, to speed the translation and scale up of mental health care in LMICs. We use our current study of Interpersonal Psychotherapy (IPT) delivered by local personnel for depression and trauma-related disorders among HIV+ women in Kenya as an example of effectiveness-implementation hybrid design for mental health services research in LMICs. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 19 | 20% |
Student > Ph. D. Student | 17 | 18% |
Researcher | 13 | 14% |
Student > Bachelor | 9 | 10% |
Student > Doctoral Student | 5 | 5% |
Other | 11 | 12% |
Unknown | 20 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 24 | 26% |
Psychology | 18 | 19% |
Nursing and Health Professions | 8 | 9% |
Social Sciences | 7 | 7% |
Mathematics | 2 | 2% |
Other | 9 | 10% |
Unknown | 26 | 28% |