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Assessing indirect costs and productivity loss in oncology

Objectives: To compile evidence on productivity losses and potential reduction of indirect costs associated with an oncology indication

Research

  • Evidence was compiled through literature searches with respect to productivity losses/indirect costs in oncology
  • Reviewed trial data
    • Relevant phase III trials were reviewed to assess clinical outcomes and population characteristics suggesting economic benefits due to reduced productivity losses
  • Collaboration with KOLs
    • Clinical experts were consulted regarding primary study findings/patient population assumptions and potential reductions in productivity loss

Analyze

  • Based on data retrieved from various sources (literature, e-databases, and experts), evidence tables were created to populate a deterministic model which would calculate cost savings due to reduced productivity-loss following oncology treatments
  • Country-specific patient population figures were derived through incident cases from cancer registries
  • Clinical outcomes from phase III trials as well as evidence from secondary sources were applied to incident cases
  • Potential cost savings in patients who return to work were analyzed using the human capital approach

Assessing indirect costs - Analyze

Communicate

  • Evidence from the literature:
    • A comprehensive presentation was created for the client's internal communication
    • Prepared abstract and poster presentation for a conference
  • Results from the cost analysis were presented in abstracts and a scientific manuscript
    • Abstracts were accepted for presentation at a major European conference

Phase III Trail Analysis - Communicate

  • The manuscript was published in a leading oncology journal