Pharmacy-led Medication Management Services in Long-term Care Facilities: Lessons from other Countries for Korea
Why this work is in the frame
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Bibliographic record
Abstract
The elderly usually have a high risk of drug-related problems by polypharmacy, therefore they are in need of drug management in long-term care facilities. This study aims to obtain the implications for developing a drug management system in long-term care facilities by pharmacists suitable for Korea by reviewing the drug management programs in long-term care facilities in countries that experienced population aging first. The United States, Canada, Australia, and Japan have enacted laws to optimize drug management in long-term care facilities according to the social demands of the aging population and operate specific programs based on those laws. Drug management programs in longterm care facilities operate in a variety of forms to suit the circumstances of each country. In long-term care facilities, pharmacists participate in the medication regimen review, in setting up drug related service frames and in developing relevant policies of the facilities. The results of the pharmacist s medication regimen review are not only provided to the doctor but also included in the medical record and kept for a while. Pharmacists emphasize cooperation with physicians and other health practitioners for proper drug management in long-term care facilities. In Korea, where the number of long-term care facilities is increasing along with the surge in the elderly population, it is necessary to develop a drug management system by pharmacists for safe drug use in long-term care facilities.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it