Treatment resistant depression in Stockholm (TRIST) study: Patient Characteristcs, Healthcare Utilization and Treatment Patterns

Study type

• Study topic:
  Disease /health condition
• Study type:
  Non-interventional study
• Scope of the study:
  Disease epidemiology

  Drug utilisation

  Healthcare resource utilisation
• Data collection methods:
  Combined primary data collection and secondary use of data

Non-interventional study

• Non-interventional study design:
  Cohort

Study drug and medical condition

• Medical condition to be studied:
  Major depression

Population studied

• Short description of the study population:
  Patients with major depression in Sweden
• Age groups:
  • Children (2 to < 12 years)
  • Adolescents (12 to < 18 years)
  • Adults (18 to < 46 years)
  • Adults (46 to < 65 years)
  • Adults (65 to < 75 years)
  • Adults (75 to < 85 years)
  • Adults (85 years and over)
• Special population of interest:
  Other
• Special population of interest, other:
  Patients with major depression
• Estimated number of subjects:
  300000

Study design details

• Main study objective:
  The aim of the proposed study is to describe the epidemiology of Major Depressive Disorder (MDD) and in particular TRD in a real-world setting using data from Sweden, a country with universal healthcare, widespread use of EHRs, and universal national health registers with virtually complete coverage
• Outcomes:
  Identifying patients with MDD diagnosis and patients who meet the pre-specified criteria of TRD in the Stockholm County Council to describe the epidemiology (incidence and prevalence), characteristics, disease history and treatment patterns (including pharmacological and non-pharmacological treatment). This study will also evaluate the possibility, using EHR and administrative data, to identify MDD patients who meet the pre-specified criteria of Major Depressive Disorder with Suicide Ideation (MDSI) and further to assess the quality of the chosen definition of MDSI.
• Data analysis plan:
  This is a descriptive population-based observational study based on secondary data from health registries and electronic health records. Variables will be analyzed descriptively using appropriate statistical methods.