Developing and testing an electronic medication administration monitoring device for community dwelling seniors: a feasibility study
Bibliographic record
Abstract
BACKGROUND: Medication non-adherence, polypharmacy, and adverse drug events are major healthcare issues leading to significant morbidity, mortality, and healthcare expenditures. Currently, there are no methods to systematically track medication usage in community-dwelling seniors. The eDosette prototype was created to make medication use patterns visible via the Internet. This study aims to demonstrate feasibility, usability, and acceptability of the eDosette in community-dwelling seniors in primary care. METHODS: A 2-week feasibility study involving a convenience sample of 10 patients from an academic family medicine teaching unit in Hamilton, Ontario, Canada, was conducted over a 6-month period between April and October 2015. The eDosette transmitted hourly electronic data via the Internet on each participant's pattern of medication use; this data was converted into an individualized medication administration record (MAR). Based on the MARs from the 10 participants, the frequency of missed medication doses, the time of dose administration, and each participant's adherence rate for their prescribed medications could be determined. A medication adherence survey and a patient usability and acceptability survey were administered to all the participants of the study. RESULTS: = 79 doses) were taken outside a 2-h window of the average dose administration time, and two doses were completely missed by all participants during this feasibility study. Participant feedback found the eDosette easy and acceptable to use. Participant feedback also identified hardware and software issues that require attention prior to a larger study. CONCLUSIONS: The eDosette is a feasible and novel technology that can be successfully installed into the homes of community-dwelling seniors to help in monitoring actual medication use patterns. This study provided details for further device development and evidence to support the need for a larger pilot study on the eDosette's impact on medication 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 | 0.002 | 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 | 0.002 | 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".