Prevalence of self‐reported risk factors for medication misadventure among older people in general practice
Bibliographic record
Abstract
OBJECTIVE: To describe the prevalence of risk factors for medication misadventures among older people in general practice. DESIGN: Descriptive cross-sectional analysis. SETTING: General practices, New South Wales, Australia. PARTICIPANTS: Twenty general practitioners in 16 practices recruited 849 practice attendees aged 65 years and over. OUTCOME MEASURE: Risk factors for medication misadventures. RESULTS: Almost all participants (95%) had used at least one medication for more than 6 months. More than half of the participants had more than one doctor involved in their care (59%), had three or more health conditions (57%), or used five or more medicines (54%). With regard to potential adverse drug reactions, in the last month 39% of participants experienced difficulties sleeping, one-third felt drowsy or dizzy (34%), and about a quarter had a skin rash (28%), leaked urine (27%), had stomach problems (22%) or had been constipated (22%). The most common compliance problems were experiencing side effects (14%) and having difficulties opening bottles or packets/applying the medicine (10%). CONCLUSION: Risk factors for medication misadventure remain a substantial problem among older people. A Medication Risk Assessment Form completed by patients can be used as an aid to increase general practitioners' awareness of a variety of problem areas associated with medication use in a compact way, and could be used as part of a system for medication review to determine whether actions are required to improve quality use of medicines.
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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 | 0.022 | 0.238 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".