Intentional Medication Nonadherence in a Geriatric Day Hospital
Bibliographic record
Abstract
Estimates of nonadherence in patients over 65 years of age with chronic conditions vary from 40% to 75%. A study looking at hospitalizations in patients over the age of 65 found that 11% of admissions were related to nonadherence to medications. Interestingly, nonadherence in the elderly is often intentional. In a study of nonadherence and adverse drug reactions in elderly patients admitted to the emergency department, 63% of all nonadherence was reported as intentional and only 37% as unintentional. In this case report, 2 patients at a geriatric day hospital were found to be intentionally nonadherent to their medication regimens. Multifaceted interventions were carried out to improve the patients’ adherence. The report demonstrates the importance of following patients to determine actual adherence.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 teacher head, 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".