Evidence map›Paper›PMID 42787944›Full record

ArticleHealth affairs scholar2026

Cost and utilization outcomes of pharmacist-led medication therapy optimization in a Medicare ACO population.

Hazem F Elewa, Joseph F Levy, Chintan Pandya, Steven E Goldberg, Travis A Morgan

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hazem F ElewaDecisionRx, Inc., Indianapolis, IN 46278, United States.ORCID https://orcid.org/0000-0003-1594-1199
Joseph F LevyDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID https://orcid.org/0000-0002-9317-5306
Chintan PandyaDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID https://orcid.org/0000-0003-4133-2514
Steven E GoldbergDecisionRx, Inc., Indianapolis, IN 46278, United States.ORCID https://orcid.org/0009-0005-1995-997X
Travis A MorganDecisionRx, Inc., Indianapolis, IN 46278, United States.ORCID https://orcid.org/0000-0003-4585-8783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Medication-related problems are a persistent source of avoidable spending among Medicare beneficiaries, presenting an important opportunity to improve the quality of care for seniors and reduce financial burden on the Medicare program. Methods: We evaluated a pharmacist-led medication therapy optimization (MTO) program implemented in a Medicare accountable care organization population using a regression-adjusted difference-in-differences design with propensity score matching. The analysis included 1003 treated members and 14 031 matched controls contributing 334 531 member-months of claims data (2022-2025). The MTO program combined pharmacogenomic testing, a nine-vector medication-risk algorithm, comprehensive pharmacist review, and structured recommendations to prescribers. Results: MTO participation was associated with a statistically significant reduction in total medical costs (pooled average treatment effect on the treated: -19.4%, -$246 per member per month [PMPM]; Conclusion: Medication therapy optimization was associated with significant cost savings. Parallel trends validation and a pronounced dose-response relationship support a causal interpretation. Short-duration evaluations are likely to substantially underestimate the full economic value of an MTO program.

Indexed as

comprehensive medication managementdifference-in-differencesMedicaremedication therapy optimizationpharmacogenomicspolypharmacyvalue-based care

Identifiers

PMID42787944
PMCPMC13602420

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.