Evidence map›Paper›PMID 40884225›Full record

ArticleJournal of managed care & specialty pharmacy2025

Impact of a real-time prescription benefit on adherence and utilization of low-cost prescription alternatives for members new to diabetes treatment.

Elizabeth C S Swart, Jennifer L Nguyen, Samuel K Peasah, Douglas Mager, Urvashi Patel, Chester B Good

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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

6 authors.

Elizabeth C S SwartValue-Based Pharmacy Initiatives, UPMC Center for High-Value Health Care, Pittsburgh, PA.
Jennifer L NguyenValue-Based Pharmacy Initiatives, UPMC Center for High-Value Health Care, Pittsburgh, PA.
Samuel K PeasahValue-Based Pharmacy Initiatives, UPMC Center for High-Value Health Care, Pittsburgh, PA.
Douglas MagerEvernorth Research Institute, St. Louis, MO.
Urvashi PatelEvernorth Research Institute, St. Louis, MO.
Chester B GoodDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases such as diabetes are a major burden to the US health care system. High medication adherence helps improve diabetes outcomes and reduce cost. Cost of medications can contribute to nonadherence. Use of a formulary decision support system with e-prescribing may be associated with greater use of generic medications, leading to lower costs and better adherence. A real-time prescription benefit (RTPB) solution provides patient-specific drug pricing, benefit information, and therapeutic options to choose the most cost-effective and clinically appropriate treatment.

objectivesTo examine whether RTPB is associated with increased adherence measured by proportion of days covered, higher utilization of generics, and generic dispensing rate? Is RTPB associated with lower plan and patient out-of-pocket (OOP) per-user per-month costs?

methodsThis study used a retrospective, matched intervention-control analysis of commercial health plan members from a large pharmacy benefits manager. Members were eligible for inclusion if they initiated therapy between January and August 2021. Members were excluded if they were not continuously eligible for coverage over the study period. Members who initiated diabetes therapy with a prescriber using RTPB (intervention) were compared with those new to therapy with a prescriber not using RTPB (control). Index date for both samples was the first medication prescription in the index period. Members were matched on age and sex demographics. The evaluation period lasted 12 months after index date. Multivariable linear regression models were used to assess the impact of an RTPB program on adherence and proportion of prescriptions filled with a generic. A generalized linear model (gamma distribution, log link) estimated plan and OOP patient costs, whereas a generalized linear model model with the Poisson distribution was used to estimate the number of controlling for patient age, sex, social determinants of health score, and other patient- and plan-level covariates.

results1,302 matched pairs were included in the analysis. Findings show the proportion of days covered was 68.7% for control and 71.4% for RTPB members (

conclusionsAccess to RTPB tools provides prescribers with formulary benefit and therapeutic options that allow them to provide the lowest-cost clinical treatment, thus improving adherence, increasing use of generic medications, and lowering plan and patient OOP costs.

Indexed as

Diabetes MellitusDrugs, GenericHypoglycemic AgentsMedication AdherenceAdultAgedCost-Benefit AnalysisDrug CostsElectronic PrescribingFemaleHumansMaleMiddle AgedRetrospective StudiesUnited StatesDrugs, GenericHypoglycemic Agents

Identifiers

PMID40884225
PMCPMC12397979

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Registered trials

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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.