@article{Athens_2013, title={Can We Use Syndromic Surveillance Data to Identify Primary Care Visits to NYC EDs?}, volume={5}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/4577}, DOI={10.5210/ojphi.v5i1.4577}, abstractNote={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.}, number={1}, journal={Online Journal of Public Health Informatics}, author={Athens, Jessica}, year={2013}, month={Mar.} }