Time to Consider the Introduction of Mandatory Continuous Professional Development Training Programme for Registered Healthcare Workers Especially Nurses and Midwives in Sierra Leone
Bibliographic record
Abstract
In developed countries like Australia, Canada, UK and USA, continuous professional development (CPD) is statutory or mandatory training for all regulated healthcare staff such as doctors, midwives, nurses, pharmacists and physiotherapists. All patients facing healthcare professionals are expected to attend stipulated programs of learning some with annual recall. These trainings are compulsory to attend. Staff employers would be in breach of statutory laws or regulatory requirements if they employ or allow staff to work with expired CPD competencies. In a low- or middle-income country (LMIC) like Sierra Leone, CPD is currently selective, and voluntary and registration licences are not revalidated. This can invariably put patients at risk as clinical skills/knowledge are not regularly verified. This paper discusses the rationale for the Government of Sierra Leone (GoSL) to consider introducing mandatory CPD training programmes, especially for nurses and midwives employed in healthcare settings in the country.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".