Per-Capita Costs of Diabetes
Whitepaper: Per-Capita Costs of Diabetes mellitus in Germany 2015 & 2016 - Adapted for the PROSIT Disease Models
Health economic modeling is an essential part in today’s health economic evaluations. Since 2007, the PROSIT disease modelling community develops open source Markov models for late complications of Diabetes mellitus. This whitepaper exemplifies how cost data from a published German analysis on the per-capita costs of Diabetes mellitus (“CoDiM”) can be utilized to populate the PROSIT models. There are some limitations regarding specific cost categories, e.g., blood pressure monitoring or screening for retinopathy, which were not explicitly reported in the CoDiM-study. However, the outlined approach allows performing a literature-based cohort simulation which can be adapted and expanded with additional cost information based on further data sources.
Markov models – Cost data – Diabetes mellitus
AOK: Allgemeine Ortskrankenkasse (statutory health insurance organisation in Germany)
ATC: Anatomical-Therapeutic-Chemical classification system
CoDiM: Costs of Diabetes mellitus Study
GP: General Practitioner
ICD: International Classification of Diseases
KV: Kassenärztliche Vereinigung (Association of Statutory Health Insurance-accredited Physicians)
SGB: Sozialgesetzbuch (German Social Security Code)
SHI: Statutory Health Insurance
We updated the Whitepaper in July 2018 and costs are updated for the year 2016. Whitepaper
Follow this link to the old release of the Whitepaper (as of May 2017).