Epilepsy in the Indigenous peoples in Canada, Australia, New Zealand, and the USA: a systematic scoping review
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,067 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,005 |
| Bibliométrie | 0,025 | 0,029 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».