Evidence map›Paper›PMID 34644285›Full record

ArticleMedical care2021

Comparing Continuous and Binary Group-based Trajectory Modeling Using Statin Medication Adherence Data.

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

Abstract read
In one paragraph

Article in Medical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

4 authors.

Ryan P HicksonDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Izabela E AnnisDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Ley A Killeya-JonesDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill.
Gang FangDivision of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill.

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 T32 HL007055NIA NIH HHS R01 AG046267NIA NIH HHS R21 AG043668
6 · The paper itself

Abstract

backgroundOf 58 medication adherence group-based trajectory modeling (GBTM) published studies, 74% used binary and 26% used continuous GBTM. Few studies provided a rationale for this choice. No medication adherence studies have compared continuous and binary GBTM.

objectiveThe objective of this study was to assess whether continuous versus binary GBTM: (1) impacts adherence trajectory shapes; and (2) results in the differential classification of patients into adherence groups.

methodsPatients were prevalent statin users with myocardial infarction hospitalization, 66+ years old, and continuously enrolled in fee-for-service Medicare. Statin medication adherence was measured 6 months prehospitalization using administrative claims. Final GBTM specifications beyond default settings were selected using a previously defined standardized procedure and applied separately to continuous and binary (proportion of days covered ≥0.80) medication adherence measures. Assignment to adherence groups was compared between continuous and binary models using percent agreement of patient classification and the κ coefficient.

resultsAmong 113,296 prevalent statin users, 4 adherence groups were identified in both models. Three groups were consistent: persistently adherent, progressively nonadherent, and persistently nonadherent. The fourth continuous group was moderately adherent (progressively adherent in the binary model). When comparing patient assignment into adherence groups between continuous and binary trajectory models, only 78.4% of patients were categorized into comparable groups (κ=0.641; 95% confidence interval: 0.638-0.645). The agreement was highest in the persistently adherent group (∼94%).

conclusionsContinuous and binary trajectory models are conceptually different measures of medication adherence. The choice between these approaches should be guided by study objectives and the role of medication adherence within the study-exposure, outcome, or confounder.

Indexed as

Medication AdherenceAgedAged, 80 and overDatabases, FactualFemaleHealth BehaviorHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleModels, TheoreticalMyocardial InfarctionRetrospective StudiesUnited StatesHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID34644285
PMCPMC8525904

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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.