Variation in Kidney Transplant Referral Across Chronic Kidney Disease Programs in Ontario, Canada

Author:

Yohanna Seychelle1ORCID,Naylor Kyla L.234ORCID,Luo Bin24,Dixon Stephanie N.234ORCID,Bota Sarah E.24,Kim S. Joseph5,Blake Peter G.67,Elliott Lori6,Cooper Rebecca8,Knoll Gregory A.9,Treleaven Darin1,Wang Carol7ORCID,Garg Amit X.2347ORCID

Affiliation:

1. Division of Nephrology, McMaster University, Hamilton, ON, Canada

2. ICES, London, ON, Canada

3. Department of Epidemiology and Biostatistics, Western University, London, ON, Canada

4. Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada

5. Division of Nephrology, University Health Network, University of Toronto, Toronto, ON, Canada

6. Ontario Renal Network, Ontario Health, Toronto, ON, Canada

7. Division of Nephrology, Western University, London, ON, Canada

8. Ontario Renal Network and Trillium Gift of Life Network, Ontario Health, Toronto, ON, Canada

9. Division of Nephrology, Department of Medicine, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON, Canada

Abstract

Background: Eligible patients with kidney failure should have equal access to kidney transplantation. Transplant referral is the first crucial step toward receiving a kidney transplant; however, studies suggest substantial variation in the rate of kidney transplant referral across regions. The province of Ontario, Canada, has a public, single-payer health care system with 27 regional chronic kidney disease (CKD) programs. The probability of being referred for kidney transplant may not be equal across CKD programs. Objective: To determine whether there is variability in kidney transplant referral rates across Ontario’s CKD programs. Design: Population-based cohort study using linked administrative health care databases from January 1, 2013, to November 1, 2016. Setting: Twenty-seven regional CKD programs in the province of Ontario, Canada. Patients: Patients approaching the need for dialysis (advanced CKD) and patients receiving maintenance dialysis (maximum follow-up: November 1, 2017). Measurements: Kidney transplant referral. Methods: We calculated the 1-year unadjusted cumulative probability of kidney transplant referral for Ontario’s 27 CKD programs using the complement of Kaplan-Meier estimator. We calculated standardized referral ratios (SRRs) for each CKD program, using expected referrals from a 2-staged Cox proportional hazards model, adjusting for patient characteristics in the first stage. Standardized referral ratios with a value less than 1 were below the provincial average (maximum possible follow-up of 4 years 10 months). In an additional analysis, we grouped CKD programs according to 5 geographic regions. Results: Among 8641 patients with advanced CKD, the 1-year cumulative probability of kidney transplant referral ranged from 0.9% (95% confidence interval [CI]: 0.2%-3.7%) to 21.0% (95% CI: 17.5%-25.2%) across the 27 CKD programs. The adjusted SRR ranged from 0.2 (95% CI: 0.1-0.4) to 4.2 (95% CI: 2.1-7.5). Among 6852 patients receiving maintenance dialysis, the 1-year cumulative probability of transplant referral ranged from 6.4% (95% CI: 4.0%-10.2%) to 34.5% (95% CI: 29.5%-40.1%) across CKD programs. The adjusted SRR ranged from 0.2 (95% CI: 0.1-0.3) to 1.8 (95% CI: 1.6-2.1). When we grouped CKD programs according to geographic region, we found that patients residing in Northern regions had a substantially lower 1-year cumulative probability of transplant referral. Limitations: Our cumulative probability estimates only captured referrals within the first year of advanced CKD or maintenance dialysis initiation. Conclusions: There is marked variability in the probability of kidney transplant referral across CKD programs operating in a publicly funded health care system.

Publisher

SAGE Publications

Subject

Nephrology

Reference39 articles.

1. Canadian Institute for Health Information. Annual statistics on organ replacement in Canada, dialysis, transplantation and donation, 2009 to 2018; 2019. https://www.cihi.ca/sites/default/files/document/corr-snapshot-2019-en.pdf.

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