Prescription medication nonadherence associated with food insecurity: a population-based cross-sectional study
Why this work is in the frame
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Bibliographic record
Abstract
<h3>Background:</h3> Food insecurity, defined as inadequate access to food owing to financial constraints, has been associated with poor disease management. Because cost-related nonadherence to prescription drugs is a possible explanation for such association, we examined the link between food insecurity and cost-related medication nonadherence in Canada. <h3>Methods:</h3> Drawing on data for adult respondents (age ≥ 18 yr) who participated in the Canadian Community Health Survey 2016 Rapid Response module on prescription medication use, we assessed the association between household food insecurity and cost-related nonadherence to prescription drugs in the previous 12 months. We further examined the self-perceived health consequences of cost-related nonadherence among nonadherents. We applied Poisson models with bootstrap weights adjusting for sociodemographic characteristics. <h3>Results:</h3> Of the 11 172 respondents in our sample, 930 (8.3%) reported cost-related nonadherence. Food insecurity affected 10.5% (95% confidence interval [CI] 9.1% to 11.8%) of adherents and 47.9% (95% CI 38.1% to 57.7%) of nonadherents. After adjustment for confounders, moderate and severe food insecurity were associated with 3.83 (95% CI 2.44 to 6.03) and 5.05 (95% CI 3.27 to 7.81) times higher prevalence of cost-related nonadherence, respectively, relative to food security. Despite being associated with lower probability of cost-related nonadherence, having drug insurance did not change the relation between food insecurity and cost-related nonadherence (<i>p</i> > 0.1 for all interactions). Severe food insecurity was correlated with higher prevalence of health deterioration and greater use of health care services as perceived consequences of cost-related nonadherence (<i>p</i> < 0.01 for both). <h3>Interpretation:</h3> Food-insecure adults in Canada have a higher likelihood of cost-related nonadherence to prescription medications than their food-secure counterparts, which may constitute a burden on their health and lead to greater use of health care services.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 it