Antidepressant Prescription for Major Depressive Disorder: Results from a Population-Based Study in Italy

Author:

Martinotti Giovanni12,Dell'Osso Bernardo3,Di Nicola Marco45,Cipelli Riccardo6,Peduto Ilaria6,Pugliese Anna Cristina7,Signorelli Maria Salvina8,Ventriglio Antonio9

Affiliation:

1. Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti - Pescara, Chieti, Italy

2. Psychopharmacology, Drug Misuse & Novel Psychoactive Substances Research Unit, School of Life and Medical Sciences, University of Hertfordshire, Hertfordshire, UK

3. Department of Biomedical and Clinical Sciences Luigi Sacco, Aldo Ravelli Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy

4. Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy

5. Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy

6. IQVIA Solutions Srl, Milano, Italy

7. Medical Department- Lundbeck Italia, Milano Italy

8. Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy

9. Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy

Abstract

Objectives: There is limited evidence about the factors influencing antidepressant (AD) prescription for the treatment of major depressive disorder (MDD) in Real World clinical practice in Italy. In this retrospective, population-based study, we set out to describe a patient cohort initiated on AD treatment for MDD and investigate the possible predictors of different ADs prescription in the primary care setting. Methods: Patients with a diagnosis of MDD who received an initial prescription of one of 11 selected ADs between 1-Apr-2017 and 31-Mar-2019 (index date) were identified from primary care electronic medical records in the Longitudinal Patient Database. Patients prescribed ≥1 AD in the 12 months before index date were excluded. Results were stratified by AD molecule. Multivariable logistic regression models estimated the association between patients’ demographic, clinical factors, and choice of AD molecule. Results: The study cohort comprised 8,823 patients (67.1% female; mean age 61.6 years). Previous AD treatments (prescribed in the 10 years before index date) had been received by 46.6% of patients (non-naïve patients). The most commonly reported psychiatric and medical comorbidities reported in the 12 months before index date were anxiety (8.4%) and hypertension (41.9%), respectively. Patients’ age was a significant predictor of AD molecule prescribed at index date in eight of the 11 molecules investigated while patients’ gender influenced clinician prescribing of bupropion, citalopram, fluoxetine, fluvoxamine, sertraline, and vortioxetine. Conclusions: Results from this Real World study provide useful information for clinicians on the clinical factors influencing AD prescription in patients treated for MDD in primary care.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology (medical),Psychiatry and Mental health,Neurology (clinical),Neurology,Pharmacology,General Medicine

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