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
Julkaistu sarjassa
Journal of Biomedical InformaticsPäivämäärä
2020Oppiaine
TietotekniikkaTerveyskasvatusMathematical Information TechnologyHealth Promotion and Health EducationTekijänoikeudet
© 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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Julkaisija
ElsevierISSN Hae Julkaisufoorumista
1532-0464Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/42252502
Metadata
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- Liikuntatieteiden tiedekunta [3048]
Rahoittaja(t)
Pirkanmaan liittoRahoitusohjelmat(t)
Elinkeinoelämän kanssa verkottunut tutkimus, TEKES; EAKR Euroopan aluekehitysrahasto, React-EULisätietoja rahoituksesta
This study has been conducted as a part of Watson Health Cloud Finland project that was funded by Business Finland.Lisenssi
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