Improving Ghana’s mental healthcare through task-shifting- psychiatrists and health policy directors perceptions about government’s commitment and the role of community mental health workers
Bibliographic record
Abstract
BACKGROUND: The scarcity of mental health professionals places specialist psychiatric care out of the reach of most people in low and middle income countries. There is growing interest in the effectiveness of task shifting as a strategy for targeting expanding health care demands in settings with shortages of qualified health personnel. Given this background, the aim of our study was to examine the perceptions of psychiatrists and health policy directors about the policy to expand mental health care delivery in Ghana through a system of task-shifting from psychiatrists to community mental health workers (CMHWs). METHODS: A self-administered semi-structured questionnaire was developed and administered to 11 psychiatrists and 29 health policy directors. Key informant interviews were also held with five psychiatrists and four health policy directors. Quantitative data were analysed using descriptive statistics. Qualitative data were analysed thematically. RESULTS: Almost all the psychiatrists and 23 (79.3 %) health policy directors were aware of the policy of the Government of Ghana to improve on the human resource base within mental health through a system of task-shifting. Overall, about half of the psychiatrists and 9 (31 %) health policy directors perceived there is some professional resistance to the implementation of the policy of task shifting. The majority of respondents were of the view that CMHWs should be allowed to assess, diagnose and treat most of the common mental disorders. The respondents identified that CMHWs usually perform two sets of roles, namely; officially assigned roles for which they have the requisite training and assumed roles for which they usually do not have the requisite training. The stakeholders identified multiple challenges associated with current task shifting arrangements within Ghana's mental health delivery system, including inadequate training and supervision, poor awareness of the scope of their expertise on the part of the CMHWs. CONCLUSION: Psychiatrists and health policy directors support the policy to expand mental health service coverage in Ghana through a system of task-shifting, despite their awareness of resistance from some professionals. It is important that the Government of Ghana upholds its commitment of expanding mental healthcare by maintaining and prioritizing its policy on task shifting and also providing the necessary resources to ensure its success.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".