Epilepsy in the Indigenous peoples in Canada, Australia, New Zealand, and the USA: a systematic scoping review
Bibliographic record
Abstract
BACKGROUND: Indigenous peoples have inequitable health access and outcomes yet are under-represented in health research and policy. The Intersectoral Global Action Plan on Epilepsy and other Neurological Disorders 2022-2031 highlights Indigenous peoples as high priority groups. We aimed to provide a summary of existing knowledge regarding epilepsy among Indigenous peoples in Canada, Australia, New Zealand, and the USA (CANZUS). METHODS: In this systematic scoping review, we searched Embase, MEDLINE, APA PsychInfo, Cochrane, Scopus, CINAHL databases and grey literature for reports published in any language between Jan 1, 1985, and April 16, 2023, using search terms related to seizures, epilepsy, and Indigenous peoples. Studies were assessed independently by three reviewers. Articles including epilepsy data in an Indigenous group were included. Articles were excluded if they combined Indigenous and non-Indigenous peoples as one population or if the outcomes did not include a separate analysis by Indigenous group. Case reports were also excluded. We extracted data on epilepsy epidemiology, access to health care, treatment, and health outcomes in Indigenous people. The methodological quality of studies was assessed through a methodological appraisal and an Indigenous perspective appraisal. This study is registered with Open Science Framework, https://doi.org/10.17605/OSF.IO/9JRHG. FINDINGS: Our search identified 2037 studies, of which 42 peer-reviewed articles and nine grey literature reports met inclusion criteria: these studies were in Canada (n=3), Australia (n=17), New Zealand (n=9), and the USA (n=22). With the exception of Māori children in New Zealand, who seem to have similar rates of epilepsy to children of European ancestry, the incidence and prevalence of epilepsy seemed to be higher in Indigenous peoples in these regions than non-Indigenous populations. In the included studies, Indigenous peoples showed a higher number of epilepsy hospital presentations, decreased access to specialists, decreased access and longer waits for antiseizure medication, and increased prescriptions for enzyme-inducing antiseizure medications when compared with non-Indigenous peoples. In Australia, the number of disability-adjusted life years among Aboriginal and Torres Strait Islander peoples with epilepsy was double that for non-Indigenous people with epilepsy. Mortality rates for Indigenous peoples with epilepsy in New Zealand and Australia were higher than in non-Indigenous people with epilepsy. INTERPRETATION: Although Indigenous people from CANZUS have unique cultural identities, this review identified similar themes and substantial disparities experienced by Indigenous versus non-Indigenous people in these nations. Concerningly, there were relatively few studies, and these were of variable quality, leaving substantial knowledge gaps. Epidemiological epilepsy research in each specific Indigenous group from CANZUS countries is urgently required to enable health policy development and minimise inequity within these countries. FUNDING: Health Research Council of New Zealand.
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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 | 0.016 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.025 | 0.029 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".