Study type

Study topic

Disease /health condition

Study type

Non-interventional study

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Population studied

Short description of the study population

Analysis is done on depersonalized data of patients participating in the German Pain e-Registry who completed their first registry report until December31st, 2024.
All available patient data were used for this analysis.

Age groups

  • In utero
  • Paediatric Population (< 18 years)
    • Neonate
      • Preterm newborn infants (0 – 27 days)
      • Term newborn infants (0 – 27 days)
    • Infants and toddlers (28 days – 23 months)
    • Children (2 to < 12 years)
    • Adolescents (12 to < 18 years)
  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

400000
Study design details

Study design

Retrospective exploratory cross-sectional analysis of the depersonalized as-reported data provided by the German Pain e-Registry.

Main study objective

Prevalence, severity and relevance of depression, anxiety and mood in patients suffering from chronic and/or difficult-to-treat pain who seek help of pain specialists in Germany.

Setting

Retrospective analysis of depersonalized real-world/routine data gathered according to national legislative standards by German pain specialists.

Comparators

None

Outcomes

None

Data analysis plan

This is an exploratory descriptive analysis of depersonalized real-world data as it has been reported as part of the routine evaluation during the first contact of the patients with a German pain specialist.
All parameters that were gathered according to national standards, guidance of the national German Pain Associations and recommendation of the German pain patient organizations will be analysed.