Liddy Clare, Moroz Isabella, Keely Erin, Taljaard Monica, Mark Fraser Amy, Deri Armstrong Catherine, Afkham Amir, Kendall Claire
C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada.
Department of Family Medicine, University of Ottawa, Ottawa, Canada.
Fam Pract. 2018 Dec 12;35(6):698-705. doi: 10.1093/fampra/cmy020.
The referral-consultation process can be difficult to navigate. Electronic consultations (eConsults) can help streamline referrals by facilitating inter-provider communication.
We evaluated the potential effect of eConsult on specialist referral rates in Ontario among family physicians providing comprehensive care.
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.
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.
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.
转诊咨询流程可能难以操作。电子咨询(eConsult)可以通过促进医疗服务提供者之间的沟通来帮助简化转诊流程。
我们评估了eConsult对安大略省提供综合医疗服务的家庭医生向专科医生转诊率的潜在影响。
我们进行了一项回顾性1:3匹配队列研究,考察了2014年4月1日至2015年3月31日期间基层医疗服务提供者的总转诊情况以及向所有可用医学专科的转诊情况。我们使用多变量随机效应泊松回归分析来比较eConsult用户和非eConsult用户之间的转诊率,同时对相关的患者和医疗服务提供者特征进行调整。转诊率以每位医生、每100名患者和每100次患者诊疗来表示。
119名使用eConsult的医生和352名匹配的对照医生共进行了所有医学专科的113197次转诊。在所有专科分组中,eConsult组每位医生的转诊率显著更低[未调整的率比(RR)=0.87,95%置信区间(CI)=0.80-0.95;调整后的RR=0.92,95%CI=0.85-1.00]。eConsult医生每患者的转诊率较低(未调整的RR=0.91,95%CI=0.84-0.98),但调整后该差异无统计学意义(调整后的RR=0.96,95%CI=0.90-1.02)。以每100次患者诊疗来表示转诊情况时,未观察到统计学上的显著差异。
这是加拿大第一项在人群水平上考察eConsult对总体转诊潜在影响的研究。我们的研究结果表明,使用eConsult服务与从基层医疗向专科医疗的转诊减少有关,对我们的单一支付系统具有可观的成本节约潜力。