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
| Autor: | Victoria, Memoli, Giraud, Ekanmian, Carlotta, Lunghi, Anne-Déborah, Bouhnik, Sophie, Lauzier, Line, Guénette |
|---|---|
| Přispěvatelé: | Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U1252 INSERM - Aix Marseille Univ - UMR 259 IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut des sciences de la santé publique [Marseille] (ISSPAM), Centre de recherche du CHU de Québec-Université Laval (CRCHUQ), CHU de Québec–Université Laval, Université Laval [Québec] (ULaval)-Université Laval [Québec] (ULaval), Centre intégré de santé et de services sociaux de l'Abitibi-Témiscamingu [Rouyn-Noranda] (CISSS), Université du Québec à Rimouski (UQAR), Université Laval [Québec] (ULaval), Victoria Memoli, Giraud Ekanmian, Carlotta Lunghi, Anne-Déborah Bouhnik, Sophie Lauzier, Line Guenette |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Latent class growth analysi
MESH: Humans LCA [SDV]Life Sciences [q-bio] Health-related outcome MESH: Medication Adherence Health-related outcomes Latent class analysi GBTM Latent class growth analysis LCGA Latent class analysis Humans Group-based trajectory modeling MESH: Systematic Reviews as Topic Medication adherence Human Systematic Reviews as Topic |
| Zdroj: | Systematic Reviews Systematic Reviews, 2022, 11 (1), pp.102. ⟨10.1186/s13643-022-01971-y⟩ |
| ISSN: | 2046-4053 |
| DOI: | 10.1186/s13643-022-01971-y⟩ |
| Popis: | Background: The 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. Methods: We 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink