Title |
Building capacity in mental health interventions in low resource countries: an apprenticeship model for training local providers
|
---|---|
Published in |
International Journal of Mental Health Systems, November 2011
|
DOI | 10.1186/1752-4458-5-30 |
Pubmed ID | |
Authors |
Laura K Murray, Shannon Dorsey, Paul Bolton, Mark JD Jordans, Atif Rahman, Judith Bass, Helena Verdeli |
Abstract |
Recent global mental health research suggests that mental health interventions can be adapted for use across cultures and in low resource environments. As evidence for the feasibility and effectiveness of certain specific interventions begins to accumulate, guidelines are needed for how to train, supervise, and ideally sustain mental health treatment delivery by local providers in low- and middle-income countries (LMIC). MODEL AND CASE PRESENTATIONS: This paper presents an apprenticeship model for lay counselor training and supervision in mental health treatments in LMIC, developed and used by the authors in a range of mental health intervention studies conducted over the last decade in various low-resource settings. We describe the elements of this approach, the underlying logic, and provide examples drawn from our experiences working in 12 countries, with over 100 lay counselors. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 20% |
Sri Lanka | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Israel | 1 | <1% |
Sierra Leone | 1 | <1% |
Greece | 1 | <1% |
United States | 1 | <1% |
Unknown | 326 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 16% |
Student > Master | 51 | 15% |
Student > Ph. D. Student | 48 | 14% |
Student > Doctoral Student | 32 | 10% |
Other | 21 | 6% |
Other | 61 | 18% |
Unknown | 67 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 98 | 30% |
Medicine and Dentistry | 54 | 16% |
Social Sciences | 37 | 11% |
Nursing and Health Professions | 26 | 8% |
Neuroscience | 5 | 2% |
Other | 25 | 8% |
Unknown | 87 | 26% |