Evidence map›Paper›PMID 31313427›Full record

ArticlePharmacoepidemiology and drug safety2019

A concept-wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives.

Karandeep Singh, Niteesh K Choudhry, Alexis A Krumme, Caroline McKay, Newell E McElwee, Joe Kimura, Jessica M Franklin

Open access · bronzeAbstract readEvaluation StudyValidation Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. 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
0.6field-weighted citation impact, top 30% 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.

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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 5 institutions in 2 countries.

Karandeep SinghDepartments of Learning Health Sciences and Internal Medicine, University of Michigan Medical School and University of Michigan School of Information, Ann Arbor, MI.ORCID 0000-0001-8980-2330
Niteesh K ChoudhryDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Alexis A KrummeDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0001-9633-861X
Caroline McKayReal World Value and Evidence, Janssen Scientific Affairs, LLC, Horsham, PA.
Newell E McElweeHealth Economics and Outcomes, Boehringer Ingelheim, Ridgefield, CT.
Joe KimuraInternal Medicine, Atrius Health and Harvard Medical School, Boston, MA.
Jessica M FranklinDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0002-8941-4116
Brigham and Women's Hospital · USBoehringer Ingelheim (United States) · USHarvard University · USJanssen (Belgium) · BEUniversity of Michigan · US

Funding

University of Michigan UroEPI Career Development ProgramK12DK111011 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CLEMENS, J. QUENTIN, SARMA, ARUNA V · 2016 to 2025
$3.6M
NIDDK NIH HHS 5K12DK111011NIDDK NIH HHS K12 DK111011
6 · The paper itself

Abstract

purposeWe sought to determine whether an association study using information contained in clinical notes could identify known and potentially novel risk factors for nonadherence to antihypertensive medications.

methodsWe conducted a retrospective concept-wide association study (CWAS) using clinical notes to identify potential risk factors for medication nonadherence, adjusting for age, sex, race, baseline blood pressure, estimated glomerular filtration rate, and a combined comorbidity score. Participants included Medicare beneficiaries 65 years and older receiving care at the Harvard Vanguard Medical Associates network from 2010-2012 and enrolled in a Medicare Advantage program. Concepts were extracted from clinical notes in the year prior to the index prescription date for each patient. We tested associations with the outcome for 5013 concepts extracted from clinical notes in a derivation cohort (4382 patients) and accounted for multiple hypothesis testing by using a false discovery rate threshold of less than 5% (q < .05). We then confirmed the associations in a validation cohort (3836 patients). Medication nonadherence was defined using a proportion of days covered (PDC) threshold less than 0.8 using pharmacy claims data.

resultsWe found 415 concepts associated with nonadherence, which we organized into 11 clusters using a hierarchical clustering approach. Volume depletion and overload, assessment of needs at the point of discharge, mood disorders, neurological disorders, complex coordination of care, and documentation of noncompliance were some of the factors associated with nonadherence.

conclusionsThis approach was successful in identifying previously described and potentially new risk factors for antihypertensive nonadherence using the clinical narrative.

Indexed as

Drug MonitoringAgedAged, 80 and overAntihypertensive AgentsCluster AnalysisData Interpretation, StatisticalDrug PrescriptionsElectronic Health RecordsFemaleHumansHypertensionMaleMedicareRetrospective StudiesRisk FactorsUnited StatesAntihypertensive Agentselectronic health recordhypertensionmedicationsnonadherencepharmacoepidemiology

Identifiers

PMID31313427
PMCPMC11293841
OpenAlexW2958899535

What OpenQuestion holds

Textmetadata
LicenceTDM
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.