Canadian Senior Renal Leaders Community of Practice: Vulnerable Populations With Chronic Kidney Disease—Evidence to Inform Policy
Notice bibliographique
Résumé
PURPOSE: Low socioeconomic status, race, ethnicity, and rural/remote populations are all associated with disparities in access, care, and outcomes for chronic kidney disease (CKD). There have been different interventions supported by Canadian renal programs to address these disparities. This article reviews the evidence for impact of strategies to reduce inequities experienced by vulnerable populations living with or at risk of CKD and to collate and share interprovincial targeted interventions through the newly formed "Canadian Senior Renal Leaders Community of Practice" focused on translating evidence into clinical practice and policy. SOURCE OF INFORMATION: A literature search of Medline, CINAHL, PubMed, and Google Scholar from 2008 to 2018 identified 13 reports of processes and interventions that have been implemented in Australia, Canada, and the United States to reduce inequities in CKD care and can be categorized into 3 broad areas: (1) early screening and prevention, (2) disease management and dialysis, and (3) pretransplant. Web sites from each Canadian jurisdiction and from Canadians Seeking Solutions and Innovations to Overcome Chronic Kidney Disease (Can-SOLVE CKD) Network were used to assess the current state of Canadian initiatives. METHODS: Reviews were completed to gather information on renal initiatives for vulnerable populations, including (1) identification of populations that experience disparities in access to care or in outcomes in the context of CKD prevention and treatment and (2) interventions that have been implemented to reduce disparities in access, care, and outcomes for vulnerable populations with CKD. A current state summary of Canadian initiatives related to vulnerable populations was conducted through a review of publicly available information, including a review of renal program Web sites and a review of current projects related to vulnerable populations that are part of Can-SOLVE CKD. Can-SOLVE CKD is a Canadian Institutes of Health Research Strategy for Patient-Oriented Research (CIHR-SPOR) funded research network to transform the care of people affected by kidney disease. KEY FINDINGS: Interventions to improve inequities in access to CKD screening, disease management, and care are successful when developed with community engagement, provided to the patient in their own environment, and tailored to specific populations. Many provincial renal programs have implemented initiatives to support vulnerable populations with or at risk of CKD. Current projects funded through CIHR SPOR focus on underserved populations and involve partnerships with Indigenous populations. Many renal programs in Canada had or were in the process of implementing interventions to support vulnerable populations with CKD; however, information about the initiatives were not readily available online despite a strong interest and opportunity to support interprovincial knowledge sharing. Despite this common interest, little information is systematically shared between Canadian jurisdictions to support interprovincial sharing to promote evidence-informed policy and program development. Efforts will be made through the newly formed Canadian Senior Renal Leaders Community of Practice to collaborate and share learnings to inform future program and policy development, implementation, and evaluation. LIMITATIONS: As this was not a systematic review, literature search only encompassed studies published in English between 2008 and 2018. It is possible that populations and interventions were overlooked during the search and through the screening process. Furthermore, the controversial definition of "vulnerable" and literature that only came from Canada, the United States, and Australia limits the generalizability of this review.
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 | 0,035 | 0,130 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,011 | 0,018 |
| Études des sciences et des technologies | 0,006 | 0,003 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,004 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».