Evaluation of adherence patterns in schizophrenia using electronic monitoring (MEMS®): A six-month post-discharge prospective study

Autor: Franck Baylé, Bernard Vrijens, David Misdrahi, Mathilde M. Husky, Anne-Catherine Lange, Arnaud Tessier, Pierre-Michel Llorca
Přispěvatelé: Institut de Chimie Moléculaire de l'Université de Bourgogne [Dijon] ( ICMUB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), AARDEX Group, Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux - Clermont Auvergne ( NPsy-Sydo ), CHU Clermont-Ferrand-Université Clermont Auvergne ( UCA ), Institut de Chimie Moléculaire de l'Université de Bourgogne [Dijon] (ICMUB), Université de Bourgogne (UB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux (NPsy-Sydo), CHU Clermont-Ferrand-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
Rok vydání: 2017
Předmět:
Adult
Male
medicine.medical_specialty
medicine.medical_treatment
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology
Medication adherence
Medication Adherence
[ SDV.NEU.PC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior
03 medical and health sciences
[ SDV.NEU.SC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
0302 clinical medicine
Internal medicine
medicine
Humans
Dosing
Prospective Studies
Medical prescription
Antipsychotic
Psychiatry
Prospective cohort study
Biological Psychiatry
ComputingMilieux_MISCELLANEOUS
Psychiatric Status Rating Scales
[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior
business.industry
[SCCO.NEUR]Cognitive science/Neuroscience
Gold standard
[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
Micro-Electrical-Mechanical Systems
Middle Aged
medicine.disease
3. Good health
030227 psychiatry
Discontinuation
Psychiatry and Mental health
Schizophrenia
[ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology
[ SCCO.NEUR ] Cognitive science/Neuroscience
Female
Schizophrenic Psychology
Drug Monitoring
business
030217 neurology & neurosurgery
Antipsychotic Agents
Zdroj: Schizophrenia Research
Schizophrenia Research, Elsevier, 2017, 〈10.1016/j.schres.2017.06.026〉
Schizophrenia Research, 2017, ⟨10.1016/j.schres.2017.06.026⟩
Schizophrenia Research, Elsevier, 2017, ⟨10.1016/j.schres.2017.06.026⟩
ISSN: 1573-2509
0920-9964
DOI: 10.1016/j.schres.2017.06.026〉
Popis: Medication Event Monitoring System (MEMS®) is considered the gold standard for the evaluation of medication adherence, yet few studies have applied this method, especially over long periods of time.To investigate medication adherence patterns in a sample of post-discharge patients with schizophrenia monitored with MEMS caps during a six-month period.Adherence to antipsychotics was prospectively investigated using MEMS among 68 patients with schizophrenia. Treatment initiation, implementation or whether or not the patient takes his dosing regimen as prescribed, persistence or the length of time between initiation and discontinuation, and treatment discontinuation were used to describe adherence. Persistence over time was described using Kaplan-Meier curves.After discharge 16% of the patients never initiated treatment. On average 37.3% of patients adhered to treatment in the first 6months. However, a strong decrease in adherence was observed over time (p0.0001), primarily due by treatment non-persistence. Only half of the patients were persistent at 6weeks, persistence further dropped to 19.0% after 6months. Among persistent patients, implementation was consistent over time with 87.8% of patients taking their medication as prescribed on any given day.Dosing profile analysis provides further evidence for the magnitude of non-adherence with antipsychotic prescriptions among post-discharge patients with schizophrenia. Using the high precision of MEMS®, dosing profiles may provide a better understanding of non-adherence patterns and help clinicians determine optimal individualized strategies.
Databáze: OpenAIRE
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