Evidence map›Paper›PMID 30646345›Full record

ArticleJAMA network open2018

Assessment of Patient Medication Adherence, Medical Record Accuracy, and Medication Blood Concentrations for Prescription and Over-the-Counter Medications.

Jeffrey J Sutherland, Ryan D Morrison, Candace D McNaughton, Thomas M Daly, Stephen B Milne, J Scott Daniels, Timothy P Ryan

Abstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Improvement of non-adherence and reduction of BP values in patients with difficult-to-treat hypertension: the ATHAN clinical trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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  13. Antihypertensive medication adherence trends by sex and drug class: A pilot study.American heart journal plus : cardiology research and practice · 2021
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  18. Observational
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

7 authors.

Jeffrey J SutherlandPrecera Bioscience, Franklin, Tennessee.
Ryan D MorrisonPrecera Bioscience, Franklin, Tennessee.
Candace D McNaughtonDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Thomas M DalyRobert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
Stephen B MilnePrecera Bioscience, Franklin, Tennessee.
J Scott DanielsPrecera Bioscience, Franklin, Tennessee.
Timothy P RyanPrecera Bioscience, Franklin, Tennessee.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
The Vanderbilt Emergency Medicine Research Training Program (VEMRT)K12HL109019 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COLLINS, SEAN PATRICK, STORROW, ALAN B · 2011 to 2015
$3.7M
A Randomized, ED-based Intervention to Improve Antihypertensive AdherenceK23HL125670 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MCNAUGHTON, CANDACE · 2015 to 2017
$488k
NCATS NIH HHS UL1 TR000445NHLBI NIH HHS K12 HL109019NHLBI NIH HHS K23 HL125670
6 · The paper itself

Abstract

Importance: Inaccurate medication records and poor medication adherence result in incomplete knowledge of therapy for patients. Objective: To study accuracy of medical records and patient adherence by measuring blood concentrations of medications. Design, Setting, and Participants: This cross-sectional study validated a serum-based liquid chromatography-tandem mass spectrometry assay to simultaneously quantify 263 medications used for acute and chronic conditions. The assay panel was applied to 3 clinical patient cohorts: residual serum from 1000 randomly selected samples sent for routine clinical chemistry testing between April 8 and October 6, 2015 (residuals cohort), 50 prospectively enrolled patients in a gastroenterology clinic between March 1 and March 15, 2016, who were prescribed more than 5 medications (gastroenterology care cohort), and a convenience cohort of 296 patients with hypertension who sought care in an emergency department (ED care cohort) between July 1, 2012, and April 25, 2013. Integrated data analysis of the cohorts was performed from August 22 to November 29, 2017. Main Outcomes and Measures: Medication serum concentrations, electronic health record medication lists, and predicted drug interactions. Results: Of the 1346 total samples, 1000 came from the residuals cohort (640 women and 360 men; median age, 60 years [interquartile range (IQR), 44-71 years]), 50 from the gastroenterology care cohort (30 women and 20 men; median age, 66 years [IQR, 62-70 years]), and 296 from the ED care cohort (160 women and 136 men; median age, 59 years [IQR, 52-66 years]). Median medication adherence, defined as the subset of detected medications from the prescription record, was 83% (IQR, 50%-100%) in the residuals cohort, 100% (IQR, 84%-100%) in the gastroenterology care cohort, and 78% (IQR, 57%-100%) in the ED care cohort. Patients adherent to 1 medication were more often adherent to other medications. Among patients prescribed 3 medications or more, there were no significant associations between medication adherence and sex or number of prescribed medications, and there was a modest association between adherence and age. By comparing detected vs prescribed medications, we detected a median of 0 (IQR, 0-2) medications per patient that were not listed in the electronic health record in the residuals cohort, 1 (IQR, 0-2) medication per patient that was not listed in the electronic health record in the gastroenterology care cohort, and 1 (IQR, 0-2) medication per patient that was not listed in the electronic health record in the ED care cohort. A total of 435 patients (43.5%) in the residuals cohort had no discrepancy between the electronic health record and detected medication lists, 22 patients (44.0%) in the gastroenterology care cohort had no discrepancy between the electronic health record and detected medication lists, and 41 patients (13.9%) in the ED care cohort had no discrepancy between the electronic health record and detected medication lists. Half of adverse drug reaction alerts occurred among medications detected without prescription. Conclusions and Relevance: Comprehensive medication monitoring offers promise to improve adherence, the accuracy of medical records, and the safety for patients with polypharmacy.

Indexed as

Drug PrescriptionsMedication AdherenceNonprescription DrugsPolypharmacyPrescription DrugsAcute DiseaseAdultAgedChronic DiseaseCohort StudiesCross-Sectional StudiesDrug InteractionsDrug MonitoringDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsEmergency Service, HospitalNonprescription DrugsPharmaceutical PreparationsPrescription Drugs

Identifiers

PMID30646345
PMCPMC6324396

What OpenQuestion holds

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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.