Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs
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
Published in
Journal of Biomedical InformaticsDate
2020Discipline
TietotekniikkaTerveyskasvatusMathematical Information TechnologyHealth Promotion and Health EducationCopyright
© 2020 Elsevier
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.
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ElsevierISSN Search the Publication Forum
1532-0464Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/42252502
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- Liikuntatieteiden tiedekunta [2994]
Related funder(s)
TEKES; Council of Tampere RegionFunding program(s)
Public research networked with companies, TEKES; ERDF European Regional Development Fund, React-EUAdditional information about funding
This study has been conducted as a part of Watson Health Cloud Finland project that was funded by Business Finland.License
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