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Related Concept Videos

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
363

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[Efficiency-Focussed Assessment of Internet-Based Interventions: a Study Protocol].

Moritz Köhnen1, Martin Härter1, Julia Sander2

  • 1Institut und Poliklinik für Medizinische Psychologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.

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This study evaluates internet-based mental disorder treatments listed in Germany's DiGA directory. A transparent process identifies effective digital health applications (DiGA) for improved user and practitioner information.

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Area of Science:

  • Digital health interventions
  • Mental health treatment
  • German healthcare system

Context:

  • Growing availability of internet-based interventions for mental disorders.
  • Inclusion of digital health applications (DiGA) in the German healthcare system.
  • Need for improved information on the effectiveness of these interventions for users and practitioners.

Purpose:

  • Identify and evaluate internet-based interventions listed in the DiGA directory.
  • Establish a methodologically sound and transparent procedure for intervention identification and evaluation.
  • Provide user-friendly descriptions of positively evaluated interventions on psychenet.de.

Summary:

  • A systematic evaluation of digital health applications (DiGA) for mental disorder treatment was conducted.
  • Predefined criteria were used for intervention identification, evaluation, and publication.
  • Effectiveness information for digital mental health interventions will be made accessible.

Impact:

  • Enhance informed decision-making for users and healthcare practitioners regarding digital mental health solutions.
  • Promote transparency and accessibility of evidence-based digital mental health interventions.
  • Contribute to the informed integration of digital health applications into routine mental healthcare.