Real-World Evidence for Psychiatric Disorders from the German Disease Analyzer Database: A Narrative Review

The German IQVIA Disease Analyzer (DA) database has become an increasingly important source of real-world evidence for psychiatric research. Over the past decade, and particularly since 2020, DA-based studies have addressed a broad spectrum of psychiatric outcomes including depression, anxiety disorders, schizophrenia, bipolar disorder, dementia, sleep disorders, and the mental health consequences of chronic somatic diseases and of contracting COVID-19. Using large, representative outpatient cohorts, these studies have examined factors associated with the incidence of psychiatric disorders, patterns of psychiatric and somatic comorbidity, treatment trajectories, and long-term outcomes under routine care conditions. The DA database's longitudinal structure, nationwide coverage, and inclusion of multiple medical specialties enable it to capture psychiatric disorders throughout patient lifetimes and across different clinical contexts. This narrative review summarizes psychiatric research using the DA database that has been published since 2020, focusing on study design, main findings, methodological strengths and limitations, and implications for future psychiatric epidemiology and clinical research.

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Journal
Brain Sciences
Published
2026-01-21
DOI
https://doi.org/10.3390/brainsci16010115
Primary Topic
Bipolar Disorder and Treatment
Type
article
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article

Real-World Evidence for Psychiatric Disorders from the German Disease Analyzer Database: A Narrative Review

Marcel Konrad, Jens Bohlken, Karel Kostev
Brain Sciences
Bipolar Disorder and Treatment
article

Real-World Evidence for Psychiatric Disorders from the German Disease Analyzer Database: A Narrative Review

Marcel Konrad, Jens Bohlken, Karel Kostev
article en

Abstract

The German IQVIA Disease Analyzer (DA) database has become an increasingly important source of real-world evidence for psychiatric research. Over the past decade, and particularly since 2020, DA-based studies have addressed a broad spectrum of psychiatric outcomes including depression, anxiety disorders, schizophrenia, bipolar disorder, dementia, sleep disorders, and the mental health consequences of chronic somatic diseases and of contracting COVID-19. Using large, representative outpatient cohorts, these studies have examined factors associated with the incidence of psychiatric disorders, patterns of psychiatric and somatic comorbidity, treatment trajectories, and long-term outcomes under routine care conditions. The DA database's longitudinal structure, nationwide coverage, and inclusion of multiple medical specialties enable it to capture psychiatric disorders throughout patient lifetimes and across different clinical contexts. This narrative review summarizes psychiatric research using the DA database that has been published since 2020, focusing on study design, main findings, methodological strengths and limitations, and implications for future psychiatric epidemiology and clinical research.

Brain SciencesVol. 16(1)
Philipps University of Marburg (DE), Universitätsklinikum Gießen und Marburg (DE), FOM University of Applied Sciences for Economics and Management (DE), Leipzig University (DE)
Good health and well-being
Openalex Percentile: Top 83%
Bipolar Disorder and Treatment
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Real-World Evidence for Psychiatric Disorders from the German Disease Analyzer Database: A Narrative Review — Marcel Konrad, Jens Bohlken, et al. · Brain Sciences (2026) | TGRS Research Map | TGRS