A1 Journal article (refereed)
Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs (2020)

Kaasalainen, K., Kalmari, J., & Ruohonen, T. (2020). Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs. Journal of Biomedical Informatics, 111, Article 103577. https://doi.org/10.1016/j.jbi.2020.103577

JYU authors or editors

Publication details

All authors or editors: Kaasalainen, Karoliina; Kalmari, Janne; Ruohonen, Toni

Journal or series: Journal of Biomedical Informatics

ISSN: 1532-0464

eISSN: 1532-0480

Publication year: 2020

Volume: 111

Article number: 103577

Publisher: Elsevier

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1016/j.jbi.2020.103577

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/72044

Abstract

Type 2 diabetes (T2D) is one of the most rapidly increasing non-communicable diseases worldwide. Lifestyle interventions are effective in preventing T2D but also resource intensive. This study evaluated with discrete event simulation (DES) the relative budget impacts of three hypothetical diabetes prevention programs (DPP), including group-based contact intervention, digital program with human coaching and fully automated program. The data for simulation were derived from research literature and national health and population statistics. The model was constructed using the iGrafx Process for Six Sigma software and simulations were carried out for 10 years. All simulated interventions produced cost savings compared to the situation without any intervention. However, this was a modeling study and future studies are needed to verify the results in real-life. Decision makers could benefit the predictive models regarding the long-term effects of diabetes prevention interventions, but more data is needed in particular on the usage, acceptability, effectiveness and costs of digital intervention tools.

Keywords: diabetes; adult-onset diabetes; pre-emption; health behaviour; intervention (treatment methods); modelling (representation); simulation

Free keywords: discrete event simulation; diabetes prevention; budget impact analysis; health behavior change

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 1