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
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".