Mental health policy implementation as an integral part of primary health care services in Oshana region, Namibia
Bibliographic record
Abstract
Despite the 1990 reforms to the health system in Namibia, mental health still receives low priority. Coupled with limited resources, health policies are directed at addressing communicable and life-threatening diseases. On the primary health care (PHC) level, health care services are either completely absent or, at best, fragmented. Therefore, an assessment of the implementation of the mental health policy that was launched in 2005 in the Oshana region of Namibia was undertaken in order to assess the extent to which the mental health policy had been implemented. The aim of the study was to explore and describe the extent of implementation and identify the challenges faced by nurses in PHC settings. A quantitative, explorative, descriptive design was used, where a total of 42 nurse from 13 health facilities in the Oshana region were conveniently included in the study. Data were collected using a self-administered questionnaire that included both open and closed-ended items. The study found that health care workers on the ground were expected to implement the policy, without have been provided with the crucial tools for implementing it, such as training, implementation guidelines, supervision, infrastructure to support the services and the materials needed to provide the services. In addition, although 77% of the research participants had received training in mental health, none expressed confidence in delivering mental health services on a PHC level. As a result, such services are not available in 94% of the health facilities in the region. This finding supports Gilson et al.’ s (2008) bottom-up model of policy implementation, which holds that in order to implement a policy fully and successfully, sufficient resources for implementation at multiple levels are required The findings call for articulated plans to address the challenges experienced in mental health policy implementation in Namibia in order to allow for the early identification of the burden associated with mental disorders.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".