Evidence map›Paper›PMID 42223940›Full record

ArticleJAMA network open2026

User-Directed vs Interruptive Real-Time Benefit Tools for Medication Changes in Primary Care.

Ryan M Kane, Sarah Morton-Oswald, Yuliya Lokhnygina, Matthew L Maciejewski, Caroline E Sloan

Abstract read
In one paragraph

Article in JAMA network open, 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.

Ryan M KaneDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Sarah Morton-OswaldDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Yuliya LokhnyginaDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
Matthew L MaciejewskiDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Caroline E SloanDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Real-time benefit tools (RTBTs) in the electronic health record (EHR) provide medication cost estimates and lower-cost alternatives. RTBT use leads to improved adherence and lower costs among patients with chronic conditions; however, clinician use is low. Objective: To assess RTBT display rate and medication order change frequencies associated with the redesign of an RTBT from user-directed (clinicians must actively open it) to interruptive (automatically displays when a cost threshold is met). Design, Setting, and Participants: This retrospective cohort study used EHR data collected in primary care at Duke Health, a large academic medical center, between January 1, 2022, and December 31, 2023. Duke Health redesigned their RTBT in December 2022. Participants included adults with multimorbidity who were prescribed at least 1 medication and had an RTBT that could display. Exposure: Binary indicator denoting the RTBT period: user-directed (2022) vs interruptive (2023). Main Outcomes and Measures: Outcomes were the percentage of encounters in which the RTBT was displayed and the percentage of encounters in which the clinician made a medication order change. Analyses were conducted using generalized linear models adjusting for patient and clinician characteristics. Results: The analytic cohort included 39 788 patients with similar characteristics across 2022 and 2023. The mean (SD) age was 67.3 (13.2) years in 2022 and 67.9 (13.2) years in 2023. The mean (SD) number of chronic conditions was 3.6 (1.7) in 2022 and 3.5 (1.6) in 2023. Most patients were female (60.6% in 2022 and 60.9% in 2023) and non-Hispanic White (61.3% in 2022 and 61.4% in 2023). Patients were involved in 156 405 encounters with 758 primary care practitioners. RTBT display frequency increased from 1.3% of encounters in 2022 to 13.5% in 2023. In adjusted analysis across all encounters, the interruptive design was associated with significant increases in RTBT display frequency (risk ratio [RR], 9.62 [95% CI, 8.16-11.35]) and in medication changes (RR, 8.37 [95% CI, 7.08-9.91]). In the subgroup of encounters in which the RTBT was displayed, the frequency of medication order changes was similar across both periods (RR, 0.93 [95% CI, 0.84-1.04]). Conclusions and Relevance: In this retrospective cohort study of RTBT use in primary care, the change in RTBT design from a user-directed configuration to an interruptive configuration was associated with an increase in RTBT display rates. The lack of a corresponding decline in medication order changes suggests that clinicians continued to pay attention and responded similarly to the RTBT after the design change.

Indexed as

Electronic Health RecordsPrimary Health CareAgedFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID42223940
PMCPMC13227306

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.