Evidence map›Paper›PMID 35610710›Full record

ArticleSystematic reviews2022

What methods are used to study the association between medication adherence trajectories, estimated with the group-based trajectory modeling (GBTM) method, and health-related outcomes?-a protocol for a systematic review.

Victoria Memoli, Giraud Ekanmian, Carlotta Lunghi, Anne-Déborah Bouhnik, Sophie Lauzier, Line Guénette

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Victoria Memoli *Aix Marseille Univ, INSERM, IRD, SESSTIM, ISSPAM, Cancer, Biomedicine & Society Group, Equipe Labellisée Ligue Contre le Cancer, Marseille, France. victoria.memoli@inserm.fr.ORCID 0000-0001-6866-6675
Giraud Ekanmian *Population Health and Optimal Health Practices Research Axis, CHU de Québec-Université Laval Research Center, Quebec City, Canada.
Carlotta LunghiPopulation Health and Optimal Health Practices Research Axis, CHU de Québec-Université Laval Research Center, Quebec City, Canada.
Anne-Déborah BouhnikAix Marseille Univ, INSERM, IRD, SESSTIM, ISSPAM, Cancer, Biomedicine & Society Group, Equipe Labellisée Ligue Contre le Cancer, Marseille, France.
Sophie Lauzier *Faculty of Pharmacy, Université Laval, Quebec City, Canada.
Line Guénette *Population Health and Optimal Health Practices Research Axis, CHU de Québec-Université Laval Research Center, Quebec City, Canada.
Inserm · FRThe Quebec Population Health Research Network · CAUniversité du Québec à Rimouski · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time. However, assessing the associations between these medication adherence trajectories and health-related outcomes remains challenging. The purpose of this review is to identify and systematically review the methods used to assess the association between medication adherence trajectories, estimated from the GBTM method, and health-related outcomes.

methodsWe will conduct a systematic review according to the recommendations of the Cochrane handbook for systematic reviews of interventions 6.2. Results will be reported following PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-analyses) recommendations. We will search in the following databases: PubMed, Embase, PsycINFO, Web of Science, CINAHL, and Cochrane Library. Two reviewers will independently select articles and extract data. Discrepancies at every step will be resolved through discussion, and consensus will be reached for all disagreed articles. A third reviewer will act as a referee if needed. We will produce tables to synthesize the modalities used to estimate medication adherence trajectories with GBTM. We will also synthesize the modalities used to assess the association between these medication adherence trajectories and health-related outcomes by identifying the types of health-related outcomes studied and how they are defined, the statistical models used, and how the medication adherence trajectories were used in these models, and the effect measure yield. We will also review the limitations and biases reported by the authors and their attempts to mitigate them. We will provide a narrative synthesis. DISCUSSION: This review will provide a thorough exploration of the strategies and methods used in medication adherence research to estimate the associations between medication adherence trajectories, estimated with GBTM, and the different health-related outcomes. It will represent the first crucial steps toward optimizing these methods in adherence studies. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42021213503 .

Indexed as

Medication AdherenceHumansSystematic Reviews as TopicGBTMGroup-based trajectory modelingHealth-related outcomesLatent class analysisLatent class growth analysisLCALCGAMedication adherence

Identifiers

PMID35610710
PMCPMC9128283
OpenAlexW4282922020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.