Antipsychotic nonadherence measured by electronic adherence monitoring in stabilized chronic schizophrenia: Clinical implications.


Journal

Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207

Informations de publication

Date de publication:
11 2021
Historique:
received: 05 01 2021
revised: 16 08 2021
accepted: 22 08 2021
pubmed: 27 9 2021
medline: 26 3 2022
entrez: 26 9 2021
Statut: ppublish

Résumé

There have been a number of studies investigating antipsychotic adherence measured by electronic adherence monitoring (EAM) in patients with schizophrenia. However, no study has looked at overall adherence and both baseline and endpoint illness/symptom severity. We performed a secondary analysis of our previous study to examine antipsychotic adherence, as measured by EAM, and illness/symptom severity at baseline and endpoint in patients with schizophrenia. Adherence rates were defined as the proportion of adherent days over 3 months. Adherent days were defined as the subject having taken the medication at the prescribed time, with 2 tolerance margins operationally defined i.e., ±3 h and ±12 h. In addition, a dichotomous version of adherence was defined i.e., if he/she was adherent greater than 80% of the days. Illness severity and symptom severity were assessed using the Brief Psychiatric Rating Scale (BPRS) total score and the Clinical Global Impression - Severity of illness (CGI-S) scale score, respectively. A total of 111 patients were enrolled in the study. Neither continuous or dichotomous adherence rates were significantly associated with baseline or endpoint illness/symptom severity (all Ps ≥ 0.05). The results remained unchanged when adjusting for clinico-demographic characteristics. Antipsychotic adherence, as measured by EAM, was not associated with illness/symptom severity at baseline and endpoint in patients with chronic schizophrenia, whose clinical status and adherence pattern were stabilized. This suggests that individuals may be able to achieve clinical stability in the face of maintenance antipsychotic treatment despite variations in adherence.

Sections du résumé

BACKGROUND
There have been a number of studies investigating antipsychotic adherence measured by electronic adherence monitoring (EAM) in patients with schizophrenia. However, no study has looked at overall adherence and both baseline and endpoint illness/symptom severity.
METHODS
We performed a secondary analysis of our previous study to examine antipsychotic adherence, as measured by EAM, and illness/symptom severity at baseline and endpoint in patients with schizophrenia. Adherence rates were defined as the proportion of adherent days over 3 months. Adherent days were defined as the subject having taken the medication at the prescribed time, with 2 tolerance margins operationally defined i.e., ±3 h and ±12 h. In addition, a dichotomous version of adherence was defined i.e., if he/she was adherent greater than 80% of the days. Illness severity and symptom severity were assessed using the Brief Psychiatric Rating Scale (BPRS) total score and the Clinical Global Impression - Severity of illness (CGI-S) scale score, respectively.
RESULTS
A total of 111 patients were enrolled in the study. Neither continuous or dichotomous adherence rates were significantly associated with baseline or endpoint illness/symptom severity (all Ps ≥ 0.05). The results remained unchanged when adjusting for clinico-demographic characteristics.
CONCLUSION
Antipsychotic adherence, as measured by EAM, was not associated with illness/symptom severity at baseline and endpoint in patients with chronic schizophrenia, whose clinical status and adherence pattern were stabilized. This suggests that individuals may be able to achieve clinical stability in the face of maintenance antipsychotic treatment despite variations in adherence.

Identifiants

pubmed: 34563881
pii: S0920-9964(21)00342-X
doi: 10.1016/j.schres.2021.08.017
pii:
doi:

Substances chimiques

Antipsychotic Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

202-207

Subventions

Organisme : CIHR
ID : 201011
Pays : Canada

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Hiroyoshi Takeuchi (H)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, Canada.

Marcos Sanches (M)

Biostatistical Consulting Service, Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Canada.

Carol Borlido (C)

Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, Canada.

Ofer Agid (O)

Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada.

Gary Remington (G)

Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada. Electronic address: Gary.Remington@camh.ca.

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Classifications MeSH