Protocol: Improving Access to Specialist Nephrology Care Among Rural/Remote Dwellers of Alberta: The Role of Electronic Consultation in Improving Care for Patients With Chronic Kidney Disease
Notice bibliographique
Résumé
BACKGROUND: As the burden of chronic kidney disease (CKD) continues to increase, many geographically dispersed Canadians have limited access to specialist nephrology care, which tends to be centralized in major urban areas. As a result, many rural/remote-dwellers in Canada experience poor quality of care and related adverse outcomes. It is imperative to develop alternative care delivery mechanisms to ensure optimal health outcomes for all Canadians. OBJECTIVE: To investigate the feasibility and effectiveness of electronic consultation (eConsult) as a new model for interactions between specialists and primary care providers (PCPs) to improve access to care for patients with CKD. DESIGN: This is a sequential, mixed methods study that will be conducted in 3 phases. SETTING: The study will be conducted across the entire province of Alberta, supported by Alberta Kidney Care (formerly, Northern and Southern Alberta Renal Programs [NARP/SARP]). PATIENTS: Patients suffering from CKD will be included in the study. MEASUREMENTS: We will assess the barriers and enablers of implementation and adoption of an e-consultation protocol to facilitate access to care for patients with CKD in Alberta with a focus on rural/remote-dwellers with CKD. We will also evaluate the impact of the eConsult system (eg, improved access to specialist care, reduction in care gaps), assess the feasibility of province-wide implementation, and compare eConsult with practice facilitation versus eConsult alone in terms of access to specialist care, quality of care, and related outcomes. METHODS: The study will be conducted in 3 phases. In phase 1, we will assess the perceptions of stakeholders (ie, PCPs, nephrologists, patients, policymakers, and other care providers) to improve CKD care delivery, quality, and outcomes in Alberta with focus groups and semistructured interviews. Phase 2 will engage specific family physicians for their input on key factors and logistical issues affecting the feasibility of implementing eConsult for the care of patients with CKD. Phase 3 will provide academic detailing including practice facilitation to clinics in Alberta to assess how eConsult with practice facilitation compares with eConsult alone in terms of access to specialist care, quality of care, and related outcomes. RESULTS: We will assess stakeholder perceptions about potential barriers to and enablers of a new eConsult and decision support system strategy, focusing on elements that are most important for the design of a feasible and implementable intervention. We will develop, pilot test, and assess the impact of the eConsult model in improving access to specialist nephrology care and the feasibility of province-wide implementation. The final phase of the project will address key challenges for optimal care for patients with CKD living in rural, remote, and underserved areas of Alberta, particularly timely referral and disease management as well as the cost-effective benefits of eConsult. LIMITATIONS: Lack of high-speed Internet in many rural and remote areas of Alberta may lead to more time spent in completing the eConsult request online versus faxing a referral the traditional way. Allied health care staff (referral coordinators, administrative staff) require training to the eConsult system, and physicians at many remote sites do not have adequate staff to handle eConsult as an added task. CONCLUSIONS: Implementation of eConsult can favorably influence referral patterns, access to care, care quality, patient outcomes, and health care costs for people with CKD. Results of this study will inform the optimization of care for rural/remote-dwellers with CKD and will facilitate future partnerships with policymakers and provincial renal programs in Alberta to ensure optimal kidney health for all residents. TRIAL REGISTRATION: Not required.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».