Evidence map›Paper›PMID 32857646›Full record

SynthesisJournal of managed care & specialty pharmacy2020

Medication Adherence Trajectories: A Systematic Literature Review.

Mai Alhazami, Vasco M Pontinha, Julie A Patterson, David A Holdford

Registry-linked trialOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Journal of managed care & specialty pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07712614 (A Comparison of Cosmos Rx Medication Adherence Platform), which is not on this map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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.

NCT07712614 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Comparison of Cosmos Rx Medication Adherence Platform (FORTISKAP™) vs. Pharmacy Fill Adherence Measures for Subjects Undergoing Treatment for Gastroesophageal Reflux Disease With Proton Pump Inhibitors

TypeinterventionalSponsorCosmos Rx, IncRan2026 to 2027Enrolled50ConditionsGERD (Gastroesophageal Reflux Disease)ArmsFortiskap
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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  3. Fluctuations in adherence to antihypertensive medication and cardiovascular outcomes: a secondary analysis of the SPRINT trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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 at 1 institution in 1 country.

Mai AlhazamiKuwait University, Jabriya.
Vasco M PontinhaVirginia Commonwealth University School of Pharmacy, Richmond.
Julie A PattersonVirginia Commonwealth University School of Pharmacy, Richmond.
David A HoldfordVirginia Commonwealth University School of Pharmacy, Richmond.
Virginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional adherence measures such as proportion of days covered (PDC) and medication possession ratio (MPR) are limited in their ability to explain patient medication adherence over time. Group-based trajectory modeling (GBTM) is a new methodological approach that visually describes the dynamics of long-term medication adherence and classifies adherence behavior into groups.

objectivesTo describe and compare trajectories of medication nonadherence reported in the medical literature, including identifying consistent trends in adherence trajectories and disease and patient characteristics that predict trajectory group membership.

methodsA systematic literature review was conducted in April 2020 in PubMed and CINAHL using MeSH terms and key words in appropriate combinations. Citations were screened for relevance using predefined inclusion and exclusion criteria and evaluated according to variables associated with group-based trajectory models.

results21 articles met the study criteria and were reviewed. Generally, studies identified 4 to 6 trajectory groups that described longitudinal medication adherence behavior. Most commonly identified trajectories were labeled as (a) consistent, high adherence, (b) declining adherence, (c) early and consistent nonadherence, and (d) initial nonadherence followed by an increase. Several predictors, including socioeconomic status, disease characteristics, and therapy initiation were routinely associated with group membership.

conclusionsThis review suggests that adherence trajectories and predictors of specific group membership may be similar across diverse disease states. GBTM describes longitudinal, dynamic patterns of medication adherence that may facilitate the development of targeted interventions to promote adherence. Implications for value-based payment systems are discussed in this review. DISCLOSURES: No outside funding supported this study. The authors have no conflicts of interest to declare.

Indexed as

Drug MonitoringHumansSocioeconomic FactorsTime Factors

Identifiers

PMID32857646
PMCPMC10391275
OpenAlexW3082539497

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.