Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients
Introduction: Although antidepressants play a major role in treating patients with depression, it is unclear which specific antidepressants are more efficacious than others. This study aims to analyze the relationship between several antidepressant substances and the time to readmission as well as t...
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doaj-d90298003fab4d71844935dcef9297542020-11-24T21:25:05ZengFrontiers Media S.A.Frontiers in Public Health2296-25652014-05-01210.3389/fpubh.2014.0004089760Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patientsIngeborg eWarnke0Ingeborg eWarnke1Carlos eNordt2Jörn eMoock3Wolfram eKawohl4Wolfram eKawohl5Wolfram eKawohl6Wulf eRössler7Wulf eRössler8Wulf eRössler9Wulf eRössler10Leuphana University of LüneburgUniversity Hospital of PsychiatryUniversity Hospital of PsychiatryLeuphana University of LüneburgLeuphana University of LüneburgUniversity Hospital of PsychiatryUniversity of ZürichLeuphana University of LüneburgUniversity of ZürichUniversity Hospital of PsychiatryUniversity of Sao PauloIntroduction: Although antidepressants play a major role in treating patients with depression, it is unclear which specific antidepressants are more efficacious than others. This study aims to analyze the relationship between several antidepressant substances and the time to readmission as well as the probability of being in hospital in a given week by using prescription data. Methods: The database was health-insurance claim data from the new Federal States in Germany. The analysis consisted of all patients with unipolar depression at their index admission in 2007 (N=1803). Patients were followed up for two years after discharge from index hospitalization. Statistical analyses were conducted by discrete-time hazards models and General Estimation Equation models (GEE), accounting for various predictors. Results: Of all prescribed antidepressant substances, sertraline was related to an increased time to readmission by 37% and to a reduction in the probability of being in hospital in a given week by 40%. However, it was prescribed to only about 5% of the patients.Conclusion: In this study, only sertraline appeared to have clinical and economic advantages. It is remarkable that just a minority of patients received sertaline in our study, thus differing from the prescription pattern in the US.http://journal.frontiersin.org/Journal/10.3389/fpubh.2014.00040/fullDepressionSertralineAntidepressantstime to psychiatric readmissionprobability of being in hospitaltime hazard models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ingeborg eWarnke Ingeborg eWarnke Carlos eNordt Jörn eMoock Wolfram eKawohl Wolfram eKawohl Wolfram eKawohl Wulf eRössler Wulf eRössler Wulf eRössler Wulf eRössler |
spellingShingle |
Ingeborg eWarnke Ingeborg eWarnke Carlos eNordt Jörn eMoock Wolfram eKawohl Wolfram eKawohl Wolfram eKawohl Wulf eRössler Wulf eRössler Wulf eRössler Wulf eRössler Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients Frontiers in Public Health Depression Sertraline Antidepressants time to psychiatric readmission probability of being in hospital time hazard models |
author_facet |
Ingeborg eWarnke Ingeborg eWarnke Carlos eNordt Jörn eMoock Wolfram eKawohl Wolfram eKawohl Wolfram eKawohl Wulf eRössler Wulf eRössler Wulf eRössler Wulf eRössler |
author_sort |
Ingeborg eWarnke |
title |
Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
title_short |
Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
title_full |
Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
title_fullStr |
Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
title_full_unstemmed |
Antidepressants: Relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
title_sort |
antidepressants: relationship to the time to psychiatric readmission and probability of being in hospital in depressive patients |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Public Health |
issn |
2296-2565 |
publishDate |
2014-05-01 |
description |
Introduction: Although antidepressants play a major role in treating patients with depression, it is unclear which specific antidepressants are more efficacious than others. This study aims to analyze the relationship between several antidepressant substances and the time to readmission as well as the probability of being in hospital in a given week by using prescription data. Methods: The database was health-insurance claim data from the new Federal States in Germany. The analysis consisted of all patients with unipolar depression at their index admission in 2007 (N=1803). Patients were followed up for two years after discharge from index hospitalization. Statistical analyses were conducted by discrete-time hazards models and General Estimation Equation models (GEE), accounting for various predictors. Results: Of all prescribed antidepressant substances, sertraline was related to an increased time to readmission by 37% and to a reduction in the probability of being in hospital in a given week by 40%. However, it was prescribed to only about 5% of the patients.Conclusion: In this study, only sertraline appeared to have clinical and economic advantages. It is remarkable that just a minority of patients received sertaline in our study, thus differing from the prescription pattern in the US. |
topic |
Depression Sertraline Antidepressants time to psychiatric readmission probability of being in hospital time hazard models |
url |
http://journal.frontiersin.org/Journal/10.3389/fpubh.2014.00040/full |
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