Impacts of medication adherence and home healthcare on the associations between polypharmacy and the risk of severe hypoglycemia among elderly diabetic patients in Taiwan from 2002 to 2012: A nationwide case-crossover study
Bibliographic record
Abstract
AIM: To assess how medication adherence and home healthcare support influence the role of polypharmacy in induced hypoglycemia events among elderly diabetic patients. METHODS: This case-crossover study retrieved records on diabetic patients >=65 years with severe hypoglycemia from 2002 to 2012 in Taiwan. Case period defined as 1-3 days before severe hypoglycemia was compared with a preceding control period of the same length, with an all-washout period of 30 days. Moreover, the modifiable effects of medication adherence and home healthcare service use were evaluated by stratified analysis. RESULTS: Totally 2,237 patients were identified. Polypharmacy use was associated with the risk of severe hypoglycemia. Patients receiving polypharmacy without home healthcare services (aOR: 1.34; 95 % CI: 1.16-1.54) and those with poor adherence to anti-diabetic medications (aOR: 1.48; 95 % CI: 1.24-1.77) were significantly associated with an elevated risk of severe hypoglycemia. In patients with good adherence, non-home healthcare users being prescribed with polypharmacy had a higher risk of severe hypoglycemia. In the group that received home healthcare services, patients with poor adherence using polypharmacy had a higher risk of severe hypoglycemia. CONCLUSIONS: Good adherence and receiving home healthcare services were associated with a decreased odds of severe hypoglycemic events in elderly diabetic patients, regardless of the fact whether they were prescribed with polypharmacy.
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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 | 0.000 |
| 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".