Access to Pediatric Neurology Training and Services Worldwide: A Survey by the International Child Neurology Association

Reducing epilepsy diagnostic and treatment gaps: Standardized paediatric epilepsy training courses for health care professionals

AIM

To evaluate improvement in knowledge and clinical behaviour among healthcare professionals after attendance at paediatric epilepsy training (PET) courses.

METHOD

Since 2005, 1-day PET courses have taught evidence-based paediatric epilepsy management to doctors and nurses in low-, middle-, and high-income countries. A cohort study was performed of 7528 participants attending 252 1-day PET courses between 2005 and 2020 in 17 low-, middle-, and high-income countries, and which gathered data from participants immediately after the course and then 6 months later. Training outcomes were measured prospectively in three domains (reaction, learning, and behaviour) using a mixed-methods approach involving a feedback questionnaire, a knowledge quiz before and after the course, and a 6-month survey.

RESULTS

Ninety-eight per cent (7217 of 7395) of participants rated the course as excellent or good. Participants demonstrated knowledge gain, answering a significantly higher proportion of questions correctly after the course compared to before the course (88% [47 883 of 54 196], correct answers/all quiz answers, vs 75% [40 424 of 54 196]; p < 0.001). Most survey responders reported that the course had improved their epilepsy diagnosis and management (73% [311 of 425]), clinical service (68% [290 of 427]), and local epilepsy training (68% [290 of 427]).

INTERPRETATION

This was the largest evaluation of a global epilepsy training course. Participants reported high course satisfaction, showed knowledge gain, and described improvements in clinical behaviour 6 months later. PET supports the global reduction in the epilepsy 'treatment gap' as promoted by the World Health Organization.

Improving epilepsy diagnosis across the lifespan: approaches and innovations

Epilepsy diagnosis is often delayed or inaccurate, exposing people to ongoing seizures and their substantial consequences until effective treatment is initiated. Important factors contributing to this problem include delayed recognition of seizure symptoms by patients and eyewitnesses; cultural, geographical, and financial barriers to seeking health care; and missed or delayed diagnosis by health-care providers. Epilepsy diagnosis involves several steps. The first step is recognition of epileptic seizures; next is classification of epilepsy type and whether an epilepsy syndrome is present; finally, the underlying epilepsy-associated comorbidities and potential causes must be identified, which differ across the lifespan. Clinical history, elicited from patients and eyewitnesses, is a fundamental component of the diagnostic pathway. Recent technological advances, including smartphone videography and genetic testing, are increasingly used in routine practice. Innovations in technology, such as artificial intelligence, could provide new possibilities for directly and indirectly detecting epilepsy and might make valuable contributions to diagnostic algorithms in the future.