The Kidney Check program - championing patient-centered, culturally safe, preventive kidney care in Canada's rural and remote Indigenous communities.
Notice bibliographique
Résumé
The health status of First Nations, Inuit and Metis peoples reflects a disparate sociopolitical and environmental context inextricably linked to Canada’s colonial history. This health inequity is exemplified by the disproportionate burden of chronic diseases such as diabetes, hypertension, and chronic kidney disease (CKD) affecting Indigenous communities. Frequently diagnosed at a younger age and greater severity than non-Indigenous groups, the increasing prevalence of these conditions is of particular concern in rural and remote Indigenous communities (1, 2). Often marginalized from mainstream healthcare services (geographically, economically, or culturally), many of these communities lack the preventive health benefits associated with continuity of care (3). Consequently, the detection and treatment of these conditions is often delayed, resulting in an increased risk of adverse outcomes that impact quality of life and strain healthcare systems. In 2015, the First Nations Community Based Screening to Improve Kidney Health and Prevent Dialysis (FINISHED) program in Manitoba highlighted the efficacy of mobile point-of-care testing among adults and children in 11 rural and remote First Nations communities. Importantly, the program reported that a majority (87%) of CKD cases identified by albuminuria or a decreased estimated glomerular rate were early-stage and potentially treatable, representing an opportunity to prevent or delay kidney failure (4). As the lifetime health and economic burden of CKD is dependent on the severity of the disease, early detection and management represents a crucial opportunity to reduce this burden through risk factor modification including blood pressure control, diabetes management and the use of reno-protective medications, such as Renin-Angiotensin-Aldosterone System (RAAS) and Sodium-glucose co-transporter-2 (SGLT2) inhibitors (5). Modelled after FINISHED, Kidney Check is an Indigenous-led screen and treat program working to bring early detection and preventive kidney care to rural and remote Indigenous communities across Canada (Manitoba, Ontario, British Columbia, Alberta, Saskatchewan) [Table 1]. Using portable diagnostic equipment, specialized Kidney Check health teams screen participating adults and children ages 10 and up for CKD, diabetes, and hypertension. True to its name, point-of care testing (POCT) is designed for use at the site of patient care, presenting an opportunity to expand preventive healthcare to regions with diminished access. Following screening, participants are triaged according to their individualized kidney failure risk prediction scores and are referred to additional resources accordingly. An affiliate of the patient-oriented Canadians Seeking Solutions and Innovations to Overcome Chronic Kidney Disease (Can-SOLVE CKD) research network, the programs design and implementation is guided by foundational research priorities set by patient partners. These and other collaborative partnerships between Kidney Check, Indigenous healthcare providers, adult and pediatric clinician specialists and engaged policy makers contribute to the programs sustainability and success. Table 1 Kidney Check screening communities for British Columbia, Alberta and Manitoba
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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».