Aileen Ochoa

Biographic Data

ID6061471
NAMEAileen Ochoa
GIVEN NAMESAileen
FAMILY NAMEOchoa
SIGNATUREOCHOA Á
AFFILIATIONSOchin
ORCID0009-0005-3553-1615
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Heterogeneity in associations between food insecurity and diabetes outcomes

    Stephen A Berkowitz, Mufeng Gao et al.ARTICLEJournal of Epidemiology and…2025References: 28

    BACKGROUND: Food insecurity is associated with worse diabetes outcomes, but how that association may vary across individuals is unclear. We sought to better understand possible heterogeneity in the association between food insecurity and diabetes outcomes. METHODS: Longitudinal cohort study of adults with type 2 diabetes assessed for food insecurity in community-based health centres. Diabetes outcomes were haemoglobin A1c (HbA1c), systolic and di…

  • Estimating the impact of addressing food needs on diabetes outcomes

    Open AccessStephen A Berkowitz, Aileen Ochoa et al.ARTICLESSM - Population Health2024

    We estimated that not experiencing food needs may be associated with modestly better diabetes outcomes. These findings support testing interventions that address food needs as part of their mechanism of action

  • Health Care Delivery Site– and Patient-Level Factors Associated With Covid-19 Primary Vaccine Series Completion in a National Network of Community Health Centers

    Rachel Gold, Anna Steeves-Reece et al.ARTICLEAmerican Journal of Public Health2024References: 17

    Objectives. To assess multilevel factors associated with variation in COVID-19 vaccination rates in a US network of community health centers. Methods. Using multilevel logistic regression with electronic health record data from ADVANCE (Accelerating Data Value Across a National Community Health Center Network; January 1, 2022–December 31, 2022), we assessed associations between health care delivery site–level (n = 1219) and patient-level (n = 1 8…

  • RiskScape

    Noelle M Cocoros, Chaim Kirby et al.ARTICLEAmerican Journal of Public Health2021References: 10

    Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data. RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-…