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Identifying longitudinal medication adherence patterns of antipsychotic treatments: A real-world cohort study in Catalonia, Spain.
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  • MARINA FUENTE-MORENO,
  • Caitriona Cahir,
  • Valéria Lima Passos,
  • Kathleen Bennett,
  • Caroline Walsh,
  • Patricia Hermida-González ,
  • Jorge Peláez de Loño ,
  • Maria Eugènia Rey Abella,
  • Luisa Baladon,
  • Maria Rubio-Valera,
  • Antoni Serrano-Blanco,
  • Ignacio Aznar-Lou
MARINA FUENTE-MORENO
Sant Joan de Deu Research Institute
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Caitriona Cahir
Royal College of Surgeons in Ireland
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Valéria Lima Passos
Royal College of Surgeons in Ireland
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Kathleen Bennett
RCSI University of Medicine and Health Sciences
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Caroline Walsh
Trinity College Dublin
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Patricia Hermida-González
CatSalut
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Jorge Peláez de Loño
CatSalut
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Maria Eugènia Rey Abella
CatSalut
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Luisa Baladon
Parc Sanitari Sant Joan de Deu
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Maria Rubio-Valera
Institut de Recerca Sant Joan de Déu

Corresponding Author:maria.rubio@sjd.es

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Antoni Serrano-Blanco
Sant Joan de Deu Research Institute
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Ignacio Aznar-Lou
Institut de Recerca Sant Joan de Déu
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Abstract

Introduction: Suboptimal adherence to antipsychotics leads to poorer outcomes and relapse. The adherence behaviour of people may be influenced by several factors including the number of antipsychotics used and their formulation. This study aimed to identify longitudinal adherence patterns to oral and long-acting injectable (LAI) antipsychotics in monotherapy or polypharmacy through group-based trajectory modelling (GBTM). Methods: This was a retrospective cohort study that linked prescription and dispensing data of adult patients with a new antipsychotic prescribed between 2015-2019 in Catalonia (Spain). GBTM was used to classify patients following a similar longitudinal pattern of adherence. The response variable was adherence, estimated through the continuous medication availability measure (CMA), in each 30-day period during 12 months of follow-up. Baseline and treatment characteristics were used to characterize the trajectories identified. Results: Among the 7,730 patients included in the study, we identified seven clinically distinct trajectory groups of adherence to antipsychotics: “non-adherent” (19%), “low adherent” (9%), “early-decline” (6%), “mid-decline” (5%), “late-decline” (5%), “high adherent” (21%), and “fully adherent” (35%). Trajectories with better adherence were more likely to receive the prescription from a psychiatrist, receive LAIs and have previous exposure to other antipsychotics. Intermittent medication use patterns and high levels of polypharmacy were characteristics of the “low” and “high adherent” groups. Conclusions: The trajectories reflect three adherence behaviours: stable over time; patients who discontinue treatment and; patients with an intermittent refill pattern. Patients on polypharmacy should have more regular adherence monitoring and LAIs should be considered, as they appear to be associated with better adherence.
27 Sep 2024Submitted to British Journal of Clinical Pharmacology
30 Sep 2024Submission Checks Completed
30 Sep 2024Assigned to Editor
30 Sep 2024Review(s) Completed, Editorial Evaluation Pending
01 Oct 2024Reviewer(s) Assigned
29 Oct 2024Editorial Decision: Revise Major
26 Nov 20241st Revision Received
27 Nov 2024Submission Checks Completed
27 Nov 2024Assigned to Editor
27 Nov 2024Review(s) Completed, Editorial Evaluation Pending
04 Dec 2024Reviewer(s) Assigned
17 Dec 2024Editorial Decision: Revise Minor
19 Dec 20242nd Revision Received
19 Dec 2024Submission Checks Completed
19 Dec 2024Assigned to Editor
19 Dec 2024Review(s) Completed, Editorial Evaluation Pending