Evidence map›Paper›PMID 36094537›Full record

ArticleJAMA internal medicine2022

Effects of Real-time Prescription Benefit Recommendations on Patient Out-of-Pocket Costs: A Cluster Randomized Clinical Trial.

Sunita M Desai, Alan Z Chen, Jiejie Wang, Wei-Yi Chung, Jay Stadelman, Chris Mahoney, Adam Szerencsy, Lisa Anzisi, Ateev Mehrotra, Leora I Horwitz

Registry-linked trialOpen access · greenAbstract readComment
In one paragraph

Article in JAMA internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04940988 (Impacts of a Physician-targeted Price Transparency Real Time Prescription Benefits Tool on Medication Out-of-pocket Costs), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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.

NCT04940988 completednot on this map

Impacts of a Physician-targeted Price Transparency Real Time Prescription Benefits Tool on Medication Out-of-pocket Costs

TypeobservationalSponsorNYU Langone HealthRan2020 to 2021Enrolled21,401ConditionsPrescriptions, Costs and Cost AnalysisArmsReal-time benefits check
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 35 citations in OpenAlex.

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  7. Frailty and neuropathy in chemotherapy patients: moderated mediation roles of fatigue and mindfulness on CIPN, anxiety, and depression.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  15. Price transparency at the point of prescribing with real-time prescription benefits.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Sunita M DesaiDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Alan Z ChenOscar Health, New York, New York.
Jiejie WangDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Wei-Yi ChungDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Jay StadelmanDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Chris MahoneyDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Adam SzerencsyDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Lisa AnzisiDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Leora I HorwitzDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
New York University · USHarvard University · US

Funding

Designing policies to incentivize high-quality health care for vulnerable Americans: Evidence from the 340B Drug Pricing ProgramK01HS026980 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DESAI, SUNITA · 2020 to 2024
$786k
AHRQ HHS K01 HS026980
6 · The paper itself

Abstract

Importance: Rising drug costs contribute to medication nonadherence and adverse health outcomes. Real-time prescription benefit (RTPB) systems present prescribers with patient-specific out-of-pocket cost estimates and recommend lower-cost, clinically appropriate alternatives at the point of prescribing. Objective: To investigate whether RTPB recommendations lead to reduced patient out-of-pocket costs for medications. Design, Setting, and Participants: In this cluster randomized trial, medical practices in a large, urban academic health system were randomly assigned to RTPB recommendations from January 13 to July 31, 2021. Participants were adult patients receiving outpatient prescriptions during the study period. The analysis was limited to prescriptions for which RTPB could recommend an available alternative. Electronic health record data were used to analyze the intervention's effects on prescribing. Data analyses were performed from August 20, 2021, to June 8, 2022. Interventions: When a prescription was initiated in the electronic health record, the RTPB system recommended available lower-cost, clinically appropriate alternatives for a different medication, length of prescription, and/or choice of pharmacy. The prescriber could select either the initiated order or one of the recommended options. Main Outcomes and Measures: Patient out-of-pocket cost for a prescription. Secondary outcomes were whether a mail-order prescription and a 90-day supply were ordered. Results: Of 867 757 outpatient prescriptions at randomized practices, 36 419 (4.2%) met the inclusion criteria of having an available alternative. Out-of-pocket costs were $39.90 for a 30-day supply in the intervention group and $67.80 for a 30-day supply in the control group. The intervention led to an adjusted 11.2%; (95% CI, -15.7% to -6.4%) reduction in out-of-pocket costs. Mail-order pharmacy use was 9.6% and 7.6% in the intervention and control groups, respectively (adjusted 1.9 percentage point increase; 95% CI, 0.9 to 3.0). Rates of 90-day supply were not different. In high-cost drug classes, the intervention reduced out-of-pocket costs by 38.9%; 95% CI, -47.6% to -28.7%. Conclusions and Relevance: This cluster randomized clinical trial showed that RTPB recommendations led to lower patient out-of-pocket costs, with the largest savings occurring for high-cost medications. However, RTPB recommendations were made for only a small percentage of prescriptions. Trial Registration: ClinicalTrials.gov Identifier: NCT04940988; American Economic Association Registry: AEARCTR-0006909.

Indexed as

Drug CostsPharmaceutical ServicesAdultHealth ExpendituresHumansInsurance, Pharmaceutical ServicesPrescriptionsUnited States

Identifiers

PMID36094537
PMCPMC9468947
OpenAlexW4295886320

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.