A Retrospective Study of Chronic Kidney Disease Burden in Saskatchewan’s First Nations People
Notice bibliographique
Résumé
Background: Chronic kidney disease is more prevalent among First Nations people than in non-First Nations people. Emerging research suggests that First Nations people are subject to greater disease burden than non-First Nations people. Objective: We aimed to identify the severity of chronic kidney disease and quantify the geographical challenges of obtaining kidney care by Saskatchewan’s First Nations people. Design: This study is a retrospective analysis of the provincial electronic medical record clinical database from January 2012 to December 2013. Setting: The setting involved patients followed by the Saskatchewan provincial chronic kidney care program, run out of two clinics, one in Regina, SK, and one in Saskatoon, SK. Patients: The patients included 2478 individuals (379 First Nations and 2099 non-First Nations) who were older than 18 years old, resident in Saskatchewan, and followed by the provincial chronic kidney care program. First Nations individuals were identified by their Indigenous and Northern Affairs Canada (INAC) Number. Measurements: The demographics, prevalence, cause of end-stage renal disease, severity of chronic kidney disease, use of home-based therapies, and distance traveled for care among patients are reported. Methods: Data were extracted from the clinical database used for direct patient care (the provincial electronic medical record database for the chronic kidney care program), which is prospectively managed by the health care staff. Actual distance traveled by road for each patient was estimated by a Geographic Information System Analyst in the First Nations and Inuit Health Branch of Health Canada. Results: Compared with non-First Nations, First Nations demonstrate a higher proportion of end-stage renal disease (First Nations = 33.0% vs non-First Nations = 21.4%, P < .001), earlier onset of chronic kidney disease (M FN = 56.4 years, SD = 15.1; M NFN = 70.6 years, SD = 14.7, P < .001), and higher rates of end-stage renal disease secondary to type 2 diabetes (First Nations = 66.1% vs non-First Nations = 39.0%, P < .001). First Nations people are also more likely to be on dialysis (First Nations = 69.7% vs non-First Nations = 40.2%, P < .001), use home-based therapies less frequently (First Nations = 16.2% vs non-First Nations = 25.7%; P = 003), and must travel farther for treatment ( P < .001), with First Nations being more likely than non-First Nations to have to travel greater than 200 km. Limitations: Patients who are followed by their primary care provider or solely through their nephrologist’s office for their chronic kidney disease would not be included in this study. Patients who self-identify as Aboriginal or Indigenous without an INAC number would not be captured in the First Nations cohort. Conclusions: In Saskatchewan, First Nations’ burden of chronic kidney disease reveals higher severity, utilization of fewer home-based therapies, and longer travel distances than their non-First Nations counterparts. More research is required to identify innovative solutions within First Nations partnering communities.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».