Comparability of self-reported medication use and pharmacy claims data.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Many studies of medicine use rely on self-reports. Based on pharmacy claims data, this analysis tests whether such self-reports constitute a valid and reliable data source. DATA AND METHODS: Linked data from the Canadian Community Health Survey and the Ontario Drug Benefit Program were used to estimate the agreement, based on kappa statistics, between seniors' self-reported medication use and the claims data. Health, demographic and socio-economic factors associated with the likelihood of agreement were modeled with logistic regression. RESULTS: The prevalence of antihypertensive medication use among Ontario residents aged 65 or older was about 40% in 2001, based on both self-report and pharmacy claims, and in 2005, it was 52% for self-report and 49% based on claims data. The prevalence of oral diabetes medication use was comparable between the two data sources. Overall agreement between self-reported and claims data was "good" to "very good" for oral diabetes medications (kappa = 0.79 in 2001; 0.87 in 2005), but "moderate" for antihypertensive medications (kappa = 0.46 in 2001; 0.55 in 2005). Agreement improved somewhat from 2001 to 2005, with implementation of a more targeted survey question. INTERPRETATION: Self-reports appear to be an accurate data source for measuring medication use; however, for antihypertensive medications, self-reports by the oldest and sickest subpopulations should be used cautiously.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it