WHO IS MOST AT RISK OF UNRECOGNIZED DIABETES? A STUDY TO INFORM PHARMACIST ACTION

Author(s)

Shalini Rana, PharmD, Magaly Rodriguez de Bittner, PharmD, MS, FAPhA, FNAP, Fadia Tohme Shaya, PhD, MPH.
University of Maryland, Baltimore, MD, USA.
OBJECTIVES: To examine predictors of unrecognized diabetes in U.S. adults and identify opportunities for pharmacist intervention.
METHODS: Data from the 2015-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed using SAS. Adults aged ≥18 years with available HbA1c and diabetes questionnaire data were included. Lab-defined DM was defined as HbA1c ≥6.5%, and self-reported DM was defined as answering “yes” to having been told they have diabetes. The outcome was a false negative (lab-defined DM with self-reported no DM). Covariates included sociodemographic characteristics, insurance status, BMI, hypertension, self-rated health, routine place for healthcare, marital status, family income, and language. Survey weights were applied to generate nationally representative estimates. Bivariate analyses and survey-weighted multivariable logistic regression with infinite degrees of freedom were conducted to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs).
RESULTS: Individuals without a routine place for healthcare had higher odds of a false negative compared to those with routine care (OR=2.38, 95% CI 1.21-4.70). Adults with a college degree or higher had increased odds compared to those with some college or an associate degree (OR=1.97, 95% CI 1.23-3.15). Older age and poorer self-rated health were protective against discordance (per-year OR=0.97, 95% CI 0.95-0.98; poor vs. excellent health OR=0.06, 95% CI 0.02-0.16). Associations with BMI, race/ethnicity, insured status, and family income were weaker or not significant.
CONCLUSIONS: Pharmacists can reduce diagnostic discordance by recognizing lack of routine care as a risk indicator and using clear communication and teach-back strategies, particularly for younger, asymptomatic, and highly educated patients.

Conference/Value in Health Info

2026-05, ISPOR 2026, Philadelphia, PA, USA

Value in Health, Volume 29, Issue S6

Code

PCR124

Topic

Patient-Centered Research

Disease

SDC: Diabetes/Endocrine/Metabolic Disorders (including obesity)

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