Evidence map›Paper›PMID 32129795›Full record

Trial reportJAMA cardiology2020

Agreement and Accuracy of Medication Persistence Identified by Patient Self-report vs Pharmacy Fill: A Secondary Analysis of the Cluster Randomized ARTEMIS Trial.

Alexander C Fanaroff, Eric D Peterson, Lisa A Kaltenbach, Christopher P Cannon, Niteesh K Choudhry, Timothy D Henry, Kevin J Anstrom, David J Cohen, Eileen Fonseca, Naeem D Khan and 2 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in JAMA cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02406677 (Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 17% 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.

NCT02406677 phase4completednot on this map

Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study

TypeinterventionalSponsorAstraZenecaRan2015 to 2017Enrolled11,001ConditionsCost Sharing, Acute Coronary SyndromeArmsStudy voucher card
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  10. PInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2021
    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

12 authors at 9 institutions in 1 country.

Alexander C FanaroffLeonard Davis Institute of Health Economics, Penn Cardiovascular Outcomes, Quality and Evaluative Research Center, Cardiovascular Medicine Division, University of Pennsylvania, Philadelphia.
Eric D PetersonDepartment of Medicine, Duke University, Durham, North Carolina.
Lisa A KaltenbachDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Christopher P CannonCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Niteesh K ChoudhryCenter for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Timothy D HenryThe Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, Ohio.
Kevin J AnstromDuke Clinical Research Institute, Duke University, Durham, North Carolina.
David J CohenUniversity of Missouri-Kansas City School of Medicine, Kansas City.
Eileen FonsecaAstraZeneca, Wilmington, Delaware.
Naeem D KhanAstraZeneca, Wilmington, Delaware.
Gregg C FonarowDivision of Cardiology, Ronald Reagan UCLA Medical Center, Los Angeles, California.
Tracy Y WangDepartment of Medicine, Duke University, Durham, North Carolina.
AstraZeneca (United States) · USClinical Research Institute · USDuke University · USBrigham and Women's Hospital · USChrist Hospital · USHarvard University · USRonald Reagan UCLA Medical Center · USUniversity of Missouri–Kansas City · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Pharmacy fill data are increasingly accessible to clinicians and researchers to evaluate longitudinal medication persistence beyond patient self-report. Objective: To assess the agreement and accuracy of patient-reported and pharmacy fill-based medication persistence. Design, Setting, and Participants: This post hoc analysis of the cluster randomized clinical trial ARTEMIS (Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study) enrolled patients at 287 US hospitals (131 randomized to intervention and 156 to usual care) from June 5, 2015, to September 30, 2016, with 1-year follow-up and blinded adjudication of major adverse cardiovascular events. In total, 8373 patients with myocardial infarction and measurement of P2Y12 inhibitor persistence by both patient self-report and pharmacy data were included. Serum P2Y12 inhibitor drug levels were measured for 944 randomly selected patients. Data were analyzed from May 2018 to November 2019. Interventions: Patients treated at intervention-arm hospitals received study vouchers to offset copayments at each P2Y12 inhibitor fill for 1 year after myocardial infarction. Main Outcomes and Measures: Nonpersistence was defined as a gap of 30 days or more in P2Y12 inhibitor use (patient report) or supply (pharmacy fill) and as serum P2Y12 inhibitor levels below the lower limit of quantification (drug level). Among patients in the intervention arm, a "criterion standard" definition of nonpersistence was a gap of 30 days or more in P2Y12 inhibitor use by both voucher use and pharmacy fill. Major adverse cardiovascular events were defined as adjudicated death, recurrent myocardial infarction, or stroke. Results: Of 8373 patients included in this analysis, the median age was 62 years (interquartile range, 54-70 years), 5664 were men (67.7%), and 990 (11.8%) self-reported as nonwhite race/ethnicity. One-year estimates of medication nonpersistence rates were higher using pharmacy fills (4042 patients [48.3%]) compared with patient self-report (1277 patients [15.3%]). Overall, 4185 patients (50.0%) were persistent by both pharmacy fill data and patient report, 1131 patients (13.5%) were nonpersistent by both, and 3057 patients (36.5%) were discordant. By application of the criterion standard definition, the 1-year nonpersistence rate was 1184 of 3703 patients (32.0%); 892 of 3318 patients (26.9%) in the intervention arm who self-reported persistence were found to be nonpersistent, and 303 of 1487 patients (20.4%) classified as nonpersistent by pharmacy fill data were actually persistent. Agreement between serum P2Y12 inhibitor drug levels and either patient-reported (κ = 0.11-0.23) or fill-based (κ = 0.00-0.19) persistence was poor. Patients who were nonpersistent by both pharmacy fill data and self-report had the highest 1-year major adverse cardiac event rate (18.3%; 95% CI, 16.0%-20.6%) compared with that for discordant patients (9.7%; 8.7%-10.8%) or concordantly persistent patients (8.2%; 95% CI, 7.4%-9.0%). Conclusions and Relevance: Patient report overestimated medication persistence rates, and pharmacy fill data underestimated medication persistence rates. Patients who are nonpersistent by both methods have the worst clinical outcomes and should be prioritized for interventions that improve medication-taking behavior. Trial Registration: ClinicalTrials.gov Identifier: NCT02406677.

Indexed as

Medication AdherenceSelf ReportAgedCluster AnalysisFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsRetrospective StudiesTreatment OutcomePlatelet Aggregation Inhibitors

Identifiers

PMID32129795
PMCPMC7057174
OpenAlexW3009459208

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.