What are the family medicine faculty development needs of partners in low- and middle-income countries?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The WHO endorses family medicine (FM) globally to improve health outcomes. The Besrour Centre (BC) brings together partners from low- and middle-income countries (LMICs) to collaborate on FM development in different contexts. Faculty development is an identified area of need, but specific needs were unknown. A qualitative study was conducted using two 1-1.5-hour focus groups at the 2015 BC conference. Ten countries and 12 universities were represented. Transcripts from semi-structured interviews were analysed for themes using a descriptive approach. There was unanimous support for the need for faculty development tools and resources, particularly in teaching skills. Most programmes lacked formal structure or funding. A consistently identified concept was how to teach specialist faculty the FM context, as was the importance of FM perspective to inform government policies. The need for faculty development of FM in LMICs is strong. FM faculty development resources can be expanded and shared through global health networks. Further expansion of faculty development workshops and toolkits is recommended. This study adds to the current knowledge because it helps to identify the gaps and priorities, specifically focused on LMICs, when developing faculty development FM programmes.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it