Clare Liddy1,2, Isabella Moroz1, Erin Keely3,4, Monica Taljaard5,6, Amy Mark Fraser5,7, Catherine Deri Armstrong8, Amir Afkham9, Claire Kendall1,2. 1. C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada. 2. Department of Family Medicine, University of Ottawa, Ottawa, Canada. 3. Department of Medicine, University of Ottawa, Ottawa, Canada. 4. Division of Endocrinology/Metabolism, The Ottawa Hospital, Ottawa, Canada. 5. Ottawa Hospital Research Institute, Ottawa, Canada. 6. School of Epidemiology, Public Health, and Preventive Medicine, University of Ottawa, Ottawa, Canada. 7. Institute for Clinical Evaluative Sciences, Toronto, Canada. 8. Department of Economics, University of Ottawa, Ottawa, Canada. 9. Enabling Technologies, Champlain Local Health Integration Network, Ottawa, Canada.
Abstract
Background: The referral-consultation process can be difficult to navigate. Electronic consultations (eConsults) can help streamline referrals by facilitating inter-provider communication. Objective: We evaluated the potential effect of eConsult on specialist referral rates in Ontario among family physicians providing comprehensive care. Methods: We conducted a retrospective 1:3 matched cohort study examining total referrals and referrals to all available medical specialties from primary care providers between 1 April 2014 and 31 March 2015. We used multivariable random effects Poisson regression analysis to compare referral rates between eConsult and non-eConsult users while adjusting for relevant patient and provider characteristics. Referral rates were expressed per physician, per 100 patients and per 100 patient encounters. Results: There were 113197 referrals across all medical specialties made by 119 eConsult physicians and 352 matched controls. Referral rates per physician were significantly lower in the eConsult group for all specialty groupings [unadjusted rate ratio (RR) = 0.87, 95% confidence interval (CI) = 0.80-0.95; adjusted RR = 0.92, 95% CI = 0.85-1.00]. Referral rates per patient were lower among eConsult physicians (unadjusted RR = 0.91, 95% CI = 0.84-0.98) but this difference was not statistically significant after adjustment (adjusted RR = 0.96, 95% CI = 0.90-1.02). No statistically significant difference was observed when referrals were expressed per 100 patient encounters. Conclusion: This is the first Canadian study to examine the potential effect of eConsult on overall referrals at a population level. Our findings demonstrate that using eConsult service is associated with fewer referrals from primary to specialist care, with considerable potential for cost savings to our single-payer system.
Background: The referral-consultation process can be difficult to navigate. Electronic consultations (eConsults) can help streamline referrals by facilitating inter-provider communication. Objective: We evaluated the potential effect of eConsult on specialist referral rates in Ontario among family physicians providing comprehensive care. Methods: We conducted a retrospective 1:3 matched cohort study examining total referrals and referrals to all available medical specialties from primary care providers between 1 April 2014 and 31 March 2015. We used multivariable random effects Poisson regression analysis to compare referral rates between eConsult and non-eConsult users while adjusting for relevant patient and provider characteristics. Referral rates were expressed per physician, per 100 patients and per 100 patient encounters. Results: There were 113197 referrals across all medical specialties made by 119 eConsult physicians and 352 matched controls. Referral rates per physician were significantly lower in the eConsult group for all specialty groupings [unadjusted rate ratio (RR) = 0.87, 95% confidence interval (CI) = 0.80-0.95; adjusted RR = 0.92, 95% CI = 0.85-1.00]. Referral rates per patient were lower among eConsult physicians (unadjusted RR = 0.91, 95% CI = 0.84-0.98) but this difference was not statistically significant after adjustment (adjusted RR = 0.96, 95% CI = 0.90-1.02). No statistically significant difference was observed when referrals were expressed per 100 patient encounters. Conclusion: This is the first Canadian study to examine the potential effect of eConsult on overall referrals at a population level. Our findings demonstrate that using eConsult service is associated with fewer referrals from primary to specialist care, with considerable potential for cost savings to our single-payer system.
Authors: Brian R Wood; Jessica A Bender; Sara Jackson; Leah Rosengaus; Paul S Pottinger; Geoffrey S Gottlieb; Shireesha Dhanireddy; Robert D Harrington; Yuliya Pruzhanskaya; Lisa D Chew; John D Scott Journal: Open Forum Infect Dis Date: 2020-03-20 Impact factor: 3.835