| Literature DB >> 23898852 |
Maurizio Pompili1, Paola Venturini, Mario Palermo, Henry Stefani, Maria Elena Seretti, Dorian A Lamis, Gianluca Serafini, Mario Amore, Paolo Girardi.
Abstract
Studies have shown that there are several factors that predict nonadherence among patients with mood disorders. The aim of the present review is to identify the predictors of nonadherence among these patients. A careful review of the literature was conducted investigating several potential predictors of nonadherence among patients with mood disorders. A total of 217 relevant articles from peer-reviewed journals were considered, and articles that met our inclusion criteria (n = 54) were selected for this review. The authors identified several predictors of nonadherence among patients with mood disorders including younger age (below 40 years old), comorbidity with substance use and personality disorders, patients' beliefs, poor insight, illness severity, treatment-related side effects, specific features of the disease and a poor therapeutic alliance. Substance use disorder and illness severity are significant predictors of nonadherence especially in patients with bipolar disorder; whereas, treatment side effects are of primary importance for depressive disorder. The authors could not carry out a meta-analysis given that the studies considered in this review assessed patients at different time points and included different measurements of nonadherence. Moreover, articles cited in this review may reflect the authors' choice, and the authors did not investigate the adherence to a specific class of drugs commonly used in the management of mood disorders. Given the high social, clinical and economic impact of nonadherence among patients who are affected by mood disorders, it is critical to recognize patients at high risk of nonadherence in order to inform future strategies to examine and improve adherence to treatment. Further research is needed to clarify this issue.Entities:
Mesh:
Year: 2013 PMID: 23898852 DOI: 10.1586/14737175.2013.811976
Source DB: PubMed Journal: Expert Rev Neurother ISSN: 1473-7175 Impact factor: 4.618