Influencing Factors in Digital Health Intervention Uptake : The Interplay of Education, Lifestyle, and Digital Literacy




Ruotsalainen, Ilona; Valtanen, Mikko; Kärsämä, Riikka; Umer, Adil; Parikka, Suvi; Lundqvist, Annamari; Lindström, Jaana

Särestöniemi, Mariella; Keikhosrokiani, Pantea; Singh, Daljeet; Harjula, Erkki; Tiulpin, Aleksei; Jansson, Miia; Isomursu, Minna; van Gils, Mark; Saarakkala, Simo; Reponen, Jarmo

Nordic Conference on Digital Health and Wireless Solutions

PublisherSpringer Science and Business Media Deutschland GmbH

2024

Communications in Computer and Information Science

Digital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part II

Communications in Computer and Information Science

2084

322

332

978-3-031-59090-0

978-3-031-59091-7

1865-0929

1865-0937

DOIhttps://doi.org/10.1007/978-3-031-59091-7_21

https://link.springer.com/chapter/10.1007/978-3-031-59091-7_21

https://research.utu.fi/converis/portal/detail/Publication/457543052



Chronic diseases strain global healthcare economically, and integrating digital solutions are proposed to help in meeting the rising demand. Digital health interventions (DHIs) offer promise for personalized, and cost-effective health services, however, factors influencing their uptake remain unclear. We examined whether the probability of lifestyle DHI uptake varies among individuals with different educational levels and lifestyles, based on their attitudes and usage of e-services. We also examined the effect of sex and age, and the association between DHI uptake and both educational attainment and overall lifestyle. A possibility to start using a web-based lifestyle DHI was offered to a subgroup (n = 6978) of Healthy Finland survey participants and adjusted logistic regression models were used to investigate the factors affecting uptake. We found that higher education and healthier lifestyle, as indicated by lifestyle score, were related to higher odds of DHI uptake. However, the effects of age, sex, independence of e-service use, and competence to use online services varied across lifestyle score groups. No significant interactions were observed related to educational attainment. These results imply that lifestyle DHIs are less likely to reach individuals with less-healthy lifestyle habits and lower educational attainment. In addition, some predictors affected the uptake differently across lifestyle score groups, suggesting that implementations of DHIs might attempt strategies to optimize the participation rates in especially targeted subgroups.


This study was funded by the Academy of Finland (grant numbers 332464 and 332466).


Last updated on 2025-27-01 at 19:40