Literature DB >> 23075605

The impact of estimated glomerular filtration rate reporting on nephrology referral pattern, patient characteristics and outcome.

David M J Naimark1, Ziv Harel, Rahim Moineddin, Arik Bergman.   

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a growing public health problem worldwide. The estimated glomerular filtration rate (eGFR) has been advocated as a means to detect CKD. In January 2006, community laboratories in Ontario, Canada, began to report eGFR values along with every serum creatinine result. The present study sought to investigate the impact of eGFR reporting on nephrology referrals and patient outcome.
METHODS: We conducted a retrospective analysis of referrals to an adult general nephrology clinic 24 months before and after eGFR reporting took effect.
RESULTS: eGFR reporting was associated with a significant rise in the number of referrals (1,330-1,496, p = 0.009), a 33% rise in patient waiting time (from 75 to 100 days, p < 0.001), and an increase in nephrologists' workload. Patients referred after eGFR reporting were older, but suffered from fewer comorbidities such as hypertension and vascular disease. There was an increase in the number of patients referred with stage 3 CKD, but a drop in the proportion of stage 4 and 5 CKD referrals and no change in time to renal replacement therapy.
CONCLUSION: Laboratory reporting of eGFR increased nephrology referral volume, patient waiting times, and nephrologists' workload, without a demonstrable benefit in terms of detection and referral of severe (stage 4 and 5) CKD, nor in the reduction of end-stage renal disease frequency.
Copyright © 2012 S. Karger AG, Basel.

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Year:  2012        PMID: 23075605     DOI: 10.1159/000341925

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  5 in total

1.  Evaluating the implementation strategy for estimated glomerular filtration rate reporting in Manitoba: the effect on referral numbers, wait times, and appropriateness of consults.

Authors:  Jay Hingwala; Sandip Bhangoo; Brett Hiebert; Manish M Sood; Claudio Rigatto; Navdeep Tangri; Paul Komenda
Journal:  Can J Kidney Health Dis       Date:  2014-05-22

2.  Risk-Based Triage for Nephrology Referrals Using the Kidney Failure Risk Equation.

Authors:  Jay Hingwala; Peter Wojciechowski; Brett Hiebert; Joe Bueti; Claudio Rigatto; Paul Komenda; Navdeep Tangri
Journal:  Can J Kidney Health Dis       Date:  2017-08-09

3.  Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia.

Authors:  Yeli Wang; Francis Ngoc Hoang Long Nguyen; John C Allen; Jasmine Quan Lan Lew; Ngiap Chuan Tan; Tazeen H Jafar
Journal:  BMC Nephrol       Date:  2019-12-04       Impact factor: 2.388

4.  Impact of the KidneyWise toolkit on chronic kidney disease referral practices in Ontario primary care: a prospective evaluation.

Authors:  Kenneth Scott Brimble; Philip Boll; Allan K Grill; Amber Molnar; Danielle M Nash; Amit Garg; Ayub Akbari; Peter G Blake; David Perkins
Journal:  BMJ Open       Date:  2020-02-16       Impact factor: 2.692

5.  Chronic kidney disease recognition amongst physicians and advanced practice providers.

Authors:  Carlos R Franco Palacios; Rudiona Hoxhaj; Pankaj Goyal
Journal:  Ren Fail       Date:  2021-12       Impact factor: 2.606

  5 in total

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