Integrated Telehealth And Care Management Program For Medicare Beneficiaries With Chronic Disease Linked To Savings
Bibliographic record
Abstract
Treatment of chronically ill people constitutes nearly four-fifths of US health care spending, but it is hampered by a fragmented delivery system and discontinuities of care. We examined the impact of a care coordination approach called the Health Buddy Program, which integrates a telehealth tool with care management for chronically ill Medicare beneficiaries. We evaluated the program's impact on spending for patients of two clinics in the US Northwest who were exposed to the intervention, and we compared their experience with that of matched controls. We found significant savings among patients who used the Health Buddy telehealth program, which was associated with spending reductions of approximately 7.7-13.3 percent ($312-$542) per person per quarter. These results suggest that carefully designed and implemented care management and telehealth programs can help reduce health care spending and that such programs merit continued attention by Medicare. Meanwhile, mortality differences in the treatment and control groups suggest that the intervention may have produced noticeable changes in health outcomes, but we leave it to future research to explore these effects fully.
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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".