Electronic referral systems in health care: a scoping review

Autor: Amilcar Azamar-Alonso, Lori-Anne Huebner, Andrew P. Costa, Jean-Eric Tarride
Rok vydání: 2019
Předmět:
Zdroj: ClinicoEconomics and Outcomes Research. 11:325-333
ISSN: 1178-6981
DOI: 10.2147/ceor.s195597
Popis: Introduction: Electronic referral (eReferral) systems have been designed with the dual purpose of decreasing wait times and improving workflow efficiency. Evidence about the clinical and economic value enabled through the use of eReferral systems is limited. Our objective was to review the evidence base for the effectiveness and cost-effectiveness of eReferral systems. This review is part of a bigger project to inform the economic benefits of a regional eReferral implementation program. Material and methods: A systematic search was conducted to capture the available literature on the effectiveness and cost-effectiveness of eReferral system interventions. Evaluation of eReferral system for cost or outcome(s) were included. Strictly e-consultation systems were excluded. We only included publications in English. Results: We found 274 citations. After removing duplicates and conducting levels one and two screenings, nine publications qualified. Results were divided into four categories: cost or cost-effectiveness analysis, changes in workflow efficiency, the quantity of referrals, and the quality of referrals. A full economic evaluation, conducted in Denmark, found that an eReferral system was cost-effective compared with a paper-based referral system. Of the other eight studies, three demonstrated positive changes in referral processing; two evaluated changes in the quality of the referrals, and three evaluated if the eReferral system increased the quantity of referrals. Discussion: The evidence base on the effectiveness of eReferral systems to improve communication between primary care and specialists and to decrease wait times is positive but limited. Economic evaluations are needed to examine the clinical and economic value of eReferral systems in health care.
Databáze: OpenAIRE