Journal Article > ResearchFull Text
Glob Ment Health (Camb). 21 October 2022; 1-8.; DOI:10.1017/gmh.2022.53
Böhm B, Keane G, Karimet M, Palma M
Glob Ment Health (Camb). 21 October 2022; 1-8.; DOI:10.1017/gmh.2022.53
BACKGROUND
Specialised mental health (MH) care providers are often absent or scarcely available in low resource and humanitarian settings (LRHS), making MH training and supervision for general health care workers (using task-sharing approaches) essential to scaling up services and reducing the treatment gap for severe and common MH conditions. Yet, the diversity of settings, population types, and professional skills in crisis contexts complicate these efforts. A standardised, field tested instrument for clinical supervision would be a significant step towards attaining quality standards in MH care worldwide.
METHODS
A competency-based clinical supervision tool was designed by Médecins Sans Frontières (MSF) for use in LRHS. A systematic literature review informed its design and assured its focus on key clinical competencies. An initial pool of behavioural indicators was identified through a rational theoretical scale construction approach, tested through waves of simulation and reviewed by 12 MH supervisors in seven projects where MSF provides care for severe and common MH conditions.
RESULTS
Qualitative analysis yielded two sets of competency grids based on a supervisee's professional background: one for ‘psychological/counselling’ and another for ‘psychiatric/mhGAP’ practitioners. Each grid features 22–26 competencies, plus optional items for specific interventions. While the structure and content were assessed as logical by supervisors, there were concerns regarding the adequacy of the tool to field reality.
CONCLUSIONS
Humanitarian settings have specific needs that require careful consideration when developing capacity-building strategies. Clinical supervision of key competencies through a standardised instrument represents an important step towards ensuring progress of clinical skills among MH practitioners.
Specialised mental health (MH) care providers are often absent or scarcely available in low resource and humanitarian settings (LRHS), making MH training and supervision for general health care workers (using task-sharing approaches) essential to scaling up services and reducing the treatment gap for severe and common MH conditions. Yet, the diversity of settings, population types, and professional skills in crisis contexts complicate these efforts. A standardised, field tested instrument for clinical supervision would be a significant step towards attaining quality standards in MH care worldwide.
METHODS
A competency-based clinical supervision tool was designed by Médecins Sans Frontières (MSF) for use in LRHS. A systematic literature review informed its design and assured its focus on key clinical competencies. An initial pool of behavioural indicators was identified through a rational theoretical scale construction approach, tested through waves of simulation and reviewed by 12 MH supervisors in seven projects where MSF provides care for severe and common MH conditions.
RESULTS
Qualitative analysis yielded two sets of competency grids based on a supervisee's professional background: one for ‘psychological/counselling’ and another for ‘psychiatric/mhGAP’ practitioners. Each grid features 22–26 competencies, plus optional items for specific interventions. While the structure and content were assessed as logical by supervisors, there were concerns regarding the adequacy of the tool to field reality.
CONCLUSIONS
Humanitarian settings have specific needs that require careful consideration when developing capacity-building strategies. Clinical supervision of key competencies through a standardised instrument represents an important step towards ensuring progress of clinical skills among MH practitioners.
Journal Article > CommentaryFull Text
Glob Ment Health (Camb). 31 December 2021; Volume 9; 221-222.; DOI:10.1017/gmh.2022.23
Böhm B, Palma M, Ousley J, Keane G
Glob Ment Health (Camb). 31 December 2021; Volume 9; 221-222.; DOI:10.1017/gmh.2022.23