Patrick K Goh, Anjeli R Elkins, Pevitr S Bansal, Ashley G Eng, Michelle M Martel
Data-Driven Methods for Predicting ADHD Diagnosis and Related Impairment: The Potential of a Machine Learning Approach
Research on child and adolescent psychopathology
characterize prevalence inadequate health literacy among otolaryngology patients assess association individual patient factors inadequate health literacy crosssectional study tertiary academic medical center otolaryngology clinic adult patients presenting clinic recruited march june 2022 participants completed validated health literacy questionnaire waiting room data age sex race insurance county residence language extracted electronic medical record linked survey responses deidentified analysis logistic regression analyses assessed association inadequate health literacy patient factors 374 participants mean age 548 years sd 178 white 79 native english speakers 95 median health literacy score 145 q1q3 120150 43 participants 12 inadequate health literacy bivariate analysis showed odds inadequate health literacy 25 times greater public insurance 95 confidence interval ci 124520 p 011 35 times greater males 95 ci 175692 p 001 significantly different among race groups p 003 factors evaluated simultaneously multivariable regression sex p 001 race p 005 remained significant predictors inadequate health literacy significant associations health literacy age rurality inadequate health literacy associated sex race age rurality 12 patients inadequate health literacy may perpetuate disparities care necessitate interventions improve care delivery otolaryngology