A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Kaasalainen, Karoliina; Kalmari, Janne; Ruohonen, Toni
Lehti tai sarja: Journal of Biomedical Informatics
ISSN: 1532-0464
eISSN: 1532-0480
Julkaisuvuosi: 2020
Volyymi: 111
Artikkelinumero: 103577
Kustantaja: Elsevier
Julkaisumaa: Yhdysvallat (USA)
Julkaisun kieli: englanti
DOI: https://doi.org/10.1016/j.jbi.2020.103577
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/72044
Tiivistelmä
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.
YSO-asiasanat: diabetes; aikuistyypin diabetes; ennaltaehkäisy; terveyskäyttäytyminen; interventiohoito; mallintaminen; simulointi
Vapaat asiasanat: discrete event simulation; diabetes prevention; budget impact analysis; health behavior change
Liittyvät organisaatiot
Hankkeet, joissa julkaisu on tehty
- Watson Health Cloud Finland
- Neittaanmäki, Pekka
- TEKES
- AI Hub Keski-Suomi
- Äyrämö, Sami
- Pirkanmaan liitto
OKM-raportointi: Kyllä
Raportointivuosi: 2020
JUFO-taso: 1