An epilepsy curriculum for primary health care providers: a report from the Education Council of the International League Against Epilepsy
Bibliographic record
Abstract
Objective: Primary health care providers are directly responsible for the care of people with epilepsy. However, their education about epilepsy might be inadequate or lacking. Our objective was to develop an evidence-based and consensus-driven educational curriculum for the management of epilepsy within the primary healthcare setting. Methods: The International League Against Epilepsy (ILAE) Education Council commissioned a task force of international experts, who met virtually at monthly intervals in 2020/2021 to develop the curriculum. The task force adopted and added to five domains from the ILAE Epileptology Curriculum after discussions on context, structure and wording of associated competencies and learning objectives. The consensus-approved curriculum was disseminated to the ILAE leadership and constituency in six different languages. An online survey was used to collate structured feedback which further refined the curriculum. Results: Feedback was obtained from 785 voluntary respondents who were inclusive of epilepsy specialists and primary healthcare providers. Nearly two thirds of the respondents approved the use of the curriculum to advance the competency of primary health care providers in epilepsy. The final educational curriculum comprised six domains, 26 competencies and 85 learning objectives. The six domains were: (1) ability to diagnose epilepsy and its broad subtypes; (2) ability to provide counselling to people with epilepsy over a range of issues; (3) ability to introduce treatment and follow-up to people with epilepsy; (4) competency to appropriately refer people to higher centres of care; (5) ability to manage epilepsy emergencies including status epilepticus; and (6) ability to recognize and provide basic care for psychiatric and somatic comorbidities. Conclusions: The curriculum represents an advance in providing inclusive care for epilepsy within the primary health care setting and ideally should be used to facilitate future primary health care epilepsy education packages.
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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 | 0.058 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".