The Effectiveness of Pharmacist-Provided Telephonic Medication Therapy Management on Emergency Department Utilization in Home Health Patients
Bibliographic record
Abstract
BACKGROUND: Preventable emergency department (ED) use may be targeted with interventions for improving the medication use process, as medication misadventures and non-adherence frequently cause preventable ED utilization. One intervention that could prevent ED visits is Medication Therapy Management (MTM). OBJECTIVE: To evaluate the effectiveness of a telephonic medication therapy management (MTM) service on reducing emergency department utilization within a Medicare insured home health population. METHODS: This was a secondary analysis of data from a cluster-randomized controlled trial examining re-hospitalizations among Medicare insured patients within forty randomly selected, geographically diverse, home-health centers. The intervention consisted of an initial telephonic medication reconciliation with a pharmacy technician, a telephonic pharmacist-provided medication review, and follow-up pharmacist phone calls. The primary outcome of this analysis was 60-day all-cause emergency department utilization. Patients' baseline risk of ED utilization was calculated, and patients were stratified into quartiles based on their risk of ED utilization. Adjusted odd ratios of ED utilization were calculated. RESULTS: Data from 656 patients (intervention n=297, usual care n=359) were available for this study. Overall, the MTM intervention was not associated with 60-day ED use, as 24.4% of intervention patients and 25.1% of usual care patients utilized the ED (Adjusted Odds Ratio=1.11; 95% CI: 0.79-1.57). However, there was lower ED utilization among patients in the lowest risk-quartile (Adjusted Odds Ratio=2.52; 95% CI: 1.15-5.49; p= 0.02). CONCLUSION: This pharmacist-delivered telephonic medication therapy management program did not decrease ED utilization overall in a Medicare insured home health population, but may further reduce the risk of ED utilization among patients who are at lower risk of utilization.
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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 | 0.000 |
| 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".