169 - Correlates of Community Services Navigation Use Among Pediatric Patients with Health-Related Social Needs
Monday, April 25, 2022
3:30 PM – 6:00 PM US MT
Poster Number: 169 Publication Number: 169.412
Katarina Zumwalt, University of Calgary, Calgary, AB, Canada; Jennifer Woo Baidal, Columbia University Irving Medical Center, New York, NY, United States; Celine Bien-Aime, Columbia University Vagelos College of Physicians and Surgeons, Valley Stream, NY, United States; Qin Wang, Columbia University Irving medical Center, New York, NY, United States; Patricia Peretz, NewYork-Presbyterian Hospital, New York, NY, United States; Emelin Martinez, NewYork-Presbyterian Hospital, New York, NY, United States; Ngoc Q. Duong, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States; Dodi Meyer, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
Medical Student University of Calgary Calgary, Alberta, Canada
Background: Household food insecurity and other unmet health-related social needs (HRSN) are linked to adverse health outcomes in children. Understanding correlates of intervention acceptance is needed to reach high-risk pediatric patients.
Objective: To examine correlates of community services navigation acceptance among high-risk pediatric patients.
Design/Methods: We performed a cross-sectional study in ANCHOR, an Accountable Health Communities (AHC) Model at an urban, multi-site academic medical center in New York City. ANCHOR consists of universal screening for HRSN and closed-loop community services navigation for high-risk patients. We defined high-risk per AHC criteria (≥1 HRSN and ≥2 ED visits per year). Patients age < 22 years identified as high-risk between September 12, 2018, and January 31, 2021, were included in this study. The main outcome was navigation acceptance. We examined patient (age, sex, race/ethnicity, insurance), household (annual income, size, language use, HRSN), and clinical site (ambulatory care versus emergency department (ED)) characteristics. Using multivariable logistic regression including all characteristics in the model, we examined correlates of navigation acceptance.
Results: Among 5,250 high-risk patients of all ages across 10 sites, 1207 (23.0%) had age < 22 years and comprise the study population. Mean patient age was 8.7 (SD 8.3) years, 57.0% were female, 77.9% reported Hispanic/Latino ethnicity, and 30.6% had annual household income Conclusion(s): In this sample of high-risk pediatric patients in an urban medical center, child age and household HRSN correlated with acceptance of navigation services. Understanding facilitators and barriers of navigation acceptance according to child age is needed in order to close the gap on identification and resolution of need. K.Zumwalt.CV.Dec2021.pdf