Scoping of pharmacists’ health leadership training needs for effective antimicrobial stewardship in Africa
Bibliographic record
Abstract
BACKGROUND: Antimicrobial resistance (AMR) is a global public health concern currently mitigated by antimicrobial stewardship (AMS). Pharmacists are strategically placed to lead AMS actions that contribute to responsible use of antimicrobials; however, this is undermined by an acknowledged health leadership skills deficit. Learning from the UK's Chief Pharmaceutical Officer's Global Health (ChPOGH) Fellowship programme, the Commonwealth Pharmacists Association (CPA) is focused to develop a health leadership training program for pharmacists in eight sub-Saharan African countries. This study thus explores need-based leadership training needs for pharmacists to provide effective AMS and inform the CPA's development of a focused leadership training programme, the 'Commonwealth Partnerships in AMS, Health Leadership Programme' (CwPAMS/LP). METHODS: A mixed methods approach was undertaken. Quantitative data were collected via a survey across 8 sub-Saharan African countries and descriptively analysed. Qualitative data were collected through 5 virtual focus group discussions, held between February and July 2021, involving stakeholder pharmacists from different sectors in the 8 countries and were analysed thematically. Data were triangulated to determine priority areas for the training programme. RESULTS: The quantitative phase produced 484 survey responses. Focus groups had 40 participants from the 8 countries. Data analysis revealed a clear need for a health leadership programme, with 61% of respondents finding previous leadership training programmes highly beneficial or beneficial. A proportion of survey participants (37%) and the focus groups highlighted poor access to leadership training opportunities in their countries. Clinical pharmacy (34%) and health leadership (31%) were ranked as the two highest priority areas for further training of pharmacists. Within these priority areas, strategic thinking (65%), clinical knowledge (57%), coaching and mentoring (51%), and project management (58%) were selected as the most important. CONCLUSIONS: The study highlights the training needs of pharmacists and priority focus areas for health leadership to advance AMS within the African context. Context-specific identification of priority areas supports a needs-based approach to programme development, maximising African pharmacists' contribution to AMS for improved and sustainable patient outcomes. This study recommends incorporating conflict management, behaviour change techniques, and advocacy, amongst others, as areas of focus to train pharmacist leaders to contribute to AMS effectively.
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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 | 0.021 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".