Can We Use Syndromic Surveillance Data to Identify Primary Care Visits to NYC EDs?
PDF

How to Cite

Athens, J. (2013). Can We Use Syndromic Surveillance Data to Identify Primary Care Visits to NYC EDs?. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4577

Abstract

A primary care (PC) syndrome was developed to estimate the number of primary care-related visits to emergency departments (EDs) in New York City and explore predictors of these visits. The PC syndrome included referrals, screenings, wound care, or medication refills. A hierarchical model with a hospital-level random intercept was used to explore patient characteristics - duplicate visit, patient gender and age, and time of visit - associated with PC syndrome visits. In NYC, 7.5% of ED visits in 2011 were PC syndrome visits. Despite undercounting, the relationships between our predictors and PC syndrome visits were consistent with published literature.
https://doi.org/10.5210/ojphi.v5i1.4577
PDF
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.