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Enregistrement W3045117368 · doi:10.1177/2054358120930977

Canadian Senior Renal Leaders Community of Practice: Vulnerable Populations With Chronic Kidney Disease—Evidence to Inform Policy

2020· article· en· W3045117368 sur OpenAlexaffabout
Rachael Erdmann, Louise Morrin, Rebecca Harvey, Lisa Joya, Amy Clifford, Steven Soroka

Notice bibliographique

RevueCanadian Journal of Kidney Health and Disease · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Kidney Disease and Diabetes
Établissements canadiensQueen Elizabeth II Health Sciences CentreNova Scotia Health AuthorityToronto Public HealthAlberta Health ServicesCancer Care OntarioThe Scarborough Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineKidney diseaseNephrologyDiseaseIntensive care medicineGerontologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,035
score de la tête « metaresearch » (Gemma)0,130
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,923
Score d'incertitude au seuil0,560

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0350,130
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0110,018
Études des sciences et des technologies0,0060,003
Communication savante0,0060,003
Science ouverte0,0040,006
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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.

Tête enseignante Opus0,055
Tête enseignante GPT0,348
Écart entre enseignants0,293 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2020
Routes d'admission2
Résumé présentoui

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