In-home medication management by older adults: a modified ethnography study using digital photography walkabouts
Bibliographic record
Abstract
BACKGROUND: Medication mismanagement can lead to non-optimal management of chronic diseases and poor health outcomes. OBJECTIVE: The purpose of this study was to better understand meanings associated with in-home medication management and storage practices of older adults with chronic diseases. METHODS: A modified ethnographic approach using digital photography walkabouts, observation protocols and field notes were used to document in-home medication organisation and storage locations. Thematic analysis was used to generate themes and sub-themes. RESULTS: Data from multiple home visits of 10 participants (mean age = 76 years; 80% females) including 30 photographs, 10 observation protocols and field notes were analysed. The average number of medications used was reported to be 11.1 (range: 5-20). Themes and sub-themes include choice of storage location (sub-themes: impact on medication behaviour, visibility of medications and storage with other items), knowledge regarding appropriate medication storage conditions (sub-themes: impact on safety of patient and impact on stability of medications) and systems to manage in-home medication intake. DISCUSSION: In-home medication management reflects older adults perspectives regarding privacy, medication taking routine, knowledge about safe and effective storage and organisation systems. The lack of knowledge causing inappropriate medication storage not only impacts the stability of medications, but also increases risk of medication errors and safety, ultimately affecting medication intake behaviours.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".