Evidence map›Paper›PMID 31802581›Full record

ArticlePharmacoepidemiology and drug safety2020

Opening the black box of the group-based trajectory modeling process to analyze medication adherence patterns: An example using real-world statin adherence data.

Ryan P Hickson, Izabela E Annis, Ley A Killeya-Jones, Gang Fang

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Medication Adherence Trajectories: A Systematic Literature Review.Journal of managed care & specialty pharmacy · 2020
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  15. Trajectories of Pre-exposure Prophylaxis Adherence Among Commercially Insured Individuals.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ryan P HicksonDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-3448-589X
Izabela E AnnisDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ley A Killeya-JonesDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gang FangDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
National Health Literacy Mapping to Inform Healthcare PolicyR01AG046267 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAILEY, STACY C, FANG, GANG · 2014 to 2017
$1.6M
Should the elderly have lower dose of ACE inhibitors for prevention after AMI?R21AG043668 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FANG, GANG · 2013 to 2014
$417k
NHLBI NIH HHS 4T32HL007055-42NHLBI NIH HHS T32 HL007055NIA NIH HHS 1R01AG046267-01A1NIA NIH HHS 1R21AG043668-01A1NIA NIH HHS R01 AG046267NIA NIH HHS R21 AG043668
6 · The paper itself

Abstract

purposeThe rationale for choosing a final group-based trajectory modeling (GBTM) specification and evaluations of patient adherence patterns within groups are often omitted in the GBTM medication adherence literature. We aimed to (1) reveal the complexity of GBTM and (2) assess model discrimination of patient medication adherence patterns.

methodsMedicare administrative claims were used to measure statin medication adherence as a continuous value in the 6 months before an acute myocardial infarction (AMI) hospitalization. Different GBTM specifications beyond default settings were constructed and compared with the Bayesian information criterion. Spaghetti plots were used to compare individual adherence patterns with group averages.

resultsOverall, 113,296 prevalent statin users met eligibility criteria. Four adherence groups were identified: persistently adherent, moderately adherent, progressively nonadherent, and persistently nonadherent. Spaghetti plots showed the persistently adherent and persistently nonadherent groups had relatively homogeneous adherence patterns that matched predicted trajectories well. Spaghetti plots also showed that, while adherence patterns in the progressively nonadherent group were not as homogeneous, most patients in this group appeared to be discontinuing statin therapy pre-AMI.

conclusionsSubjective decisions are necessary to identify a final trajectory model. Greater transparency and disclosure of these decisions in the medication adherence literature are needed. Individual patient adherence patterns from spaghetti plots provided additional diagnostic information about trajectory models beyond standard model-fit assessments to determine if group-average adherence estimates represent homogeneous patterns of medication adherence.

Indexed as

Drug MonitoringAdultAgedBayes TheoremFemaleHospitalizationHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMedicareMiddle AgedMyocardial InfarctionUnited StatesHydroxymethylglutaryl-CoA Reductase Inhibitorsgroup-based trajectory modelinghealth behaviormedication adherencemethodspharmacoepidemiologystatistical distributions

Identifiers

PMID31802581
PMCPMC7058496

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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.