Health Literacy in An Otolaryngology Patient Population
Bibliographic record
Abstract
ObjectiveHealth literacy is defined as the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. This study aimed to assess the health literacy of patients seeking care at an adult tertiary care Otolaryngology-Head and Neck Surgery (OHNS) clinic and its correlation with sociodemographic information.Study DesignProspective cross-sectional study.SettingTertiary care OHNS clinic.ParticipantsNew adult patients who presented to a tertiary OHNS clinic from July 2022 to March 2023.InterventionsPatients were asked to complete a sociodemographic questionnaire and the BRIEF Health Literacy Screening Tool. The BRIEF is scored out of 20 with scores of 17 and higher showing adequate health literacy.Main Outcome MeasuresBivariate and multivariate analyses were performed to determine whether sociodemographic variables were associated with health literacy.ResultsTwo hundred eighteen patients were recruited (59% females, 32% were above age 65). Although the average score on the BRIEF was 17.0 ± 3.6, about 33% of participants were found to have inadequate health literacy. Non-native English speakers, racial minorities, immigrants, and those with a lower income were more likely to have poor health literacy.ConclusionThis study highlights that a significant number of patients presenting to a tertiary OHNS clinic have inadequate health literacy, with certain socioeconomic factors serving as predictors. Future research is needed to evaluate targeted interventions aimed at improving and advocating for health literacy among OHNS patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".