Does Cognitive Ability Explain Inaccuracy in Older Adults’ Self-Reported Medication Adherence?
Bibliographic record
Abstract
This study examines the accuracy of younger-old and older-old adults’ self-reported adherence over a 3-month period and the potential interactive relationship between self-report accuracy and cognitive abilities. For 3 months, 71 younger-old ( M = 68.10, range = 57 to 74) and 62 older-old ( M = 80.31, range = 75 to 89) adults had their actual and self-reported adherence monitored. Cognitive tests assessing episodic and prospective memory were given at the beginning of the study. Multilevel models indicate that 32% of the variability in objective adherence was from between-person differences whereas 68% was from within-person fluctuations. There were age differences in the coupling of actual and self-reported adherence over time, such that younger-old adults’ self-reports less accurately reflected their actual adherence. Subsequent models indicate that age differences in the coupled relationship were further moderated by cognitive abilities. Results suggest that the relationships among age, cognitive abilities, and accuracy of self-reported adherence are far from simple.
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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 | 0.004 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".