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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio della Ricer...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Rivista di Psichiatria
Article . 2015 . Peer-reviewed
Data sources: Crossref
Rivista di Psichiatria
Article . 2015
Data sources: mEDRA
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Predictors of poor adherence to treatment in inpatients with bipolar and psychotic spectrum disorders

Authors: NIOLU, CINZIA; Barone, Y; BIANCIARDI, EMANUELA; RIBOLSI, MICHELE; MARCHETTA, CLAUDIA; Robone, C; Ambrosio, A; +4 Authors

Predictors of poor adherence to treatment in inpatients with bipolar and psychotic spectrum disorders

Abstract

SUMMARY. Aim. The aim of this study was to assess possible predictors of poor adherence in patients with a diagnosis of schizophrenia-spectrum disorders (SD) or bipolar disorder (BD) and to evaluate the roles of attachment style and caregivers as predictive factors of adherence. Methods. The sample was composed of 178 voluntarily hospitalized inpatients: 89 diagnosed with BD (I, II), 89 with SD and other schizophrenia-spectrum disorders. All patients enrolled in the study were assessed for adherence, psychopathology, attachment style, presence of caregiver, subjective well-being during pharmacological treatment with neuroleptics, side effects following therapy, subjective attitude towards drugs, global functioning and quality of life. Results. In patients with SD, non-adherence was associated with the absence of a caregiver, fewer years of treatment, poor insight and attitude towards drugs and fearful dimensions of attachment. In patients with BD, poor insight, anxious and social avoidant temperament traits, together with a high sense of self efficacy, were related to non-adherence. Diagnosis, type of medication and side effects were not predictive factors of adherence in either group. Interestingly, some temperament traits and dimensions of attachment predict non-adherence, indicating differences between patients with SD and BD. Conclusion. Considering these predictors of non-adherence and assessing adherence at the time of admission for relapse could be useful to plan an early and tailored “treatment adherence”, along with other therapeutic strategies, for patients using these predictive factors. The role of caregiver proved particularly important in relation to the therapeutic alliance. Attachment style may play a key role in predicting adherence through the therapeutic alliance with both patients and caregivers.

Country
Italy
Keywords

Adult, Male, Inpatients, Bipolar Disorder, Adolescent, Settore MED/25 - PSICHIATRIA, Middle Aged, Medication Adherence, Treatment Outcome, Italy, Psychotic Disorders, Recurrence, Quality of Life, Humans, Female, Aged, Antipsychotic Agents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Average
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