A comparison of Mydata based Health App Adoption among elderly citizens in Nordic countries and UK
Jayathilake, Chathurangani (2023-12-15)
C. Jayathilake
15.12.2023
© 2023 Chathurangani Jayathilake. Ellei toisin mainita, uudelleenkäyttö on sallittu Creative Commons Attribution 4.0 International (CC-BY 4.0) -lisenssillä (https://creativecommons.org/licenses/by/4.0/). Uudelleenkäyttö on sallittua edellyttäen, että lähde mainitaan asianmukaisesti ja mahdolliset muutokset merkitään. Sellaisten osien käyttö tai jäljentäminen, jotka eivät ole tekijän tai tekijöiden omaisuutta, saattaa edellyttää lupaa suoraan asianomaisilta oikeudenhaltijoilta.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312153875
https://urn.fi/URN:NBN:fi:oulu-202312153875
Tiivistelmä
This research addresses the critical gap in the existing literature concerning the adoption of Mydata-based health apps among citizens aged 50 and above in Nordic countries and the UK. With the increasing relevance of personalized health technologies, understanding the unique factors influencing adoption among elderly populations becomes paramount. This study aligns with the broader scientific background of digital health adoption and aims to contribute nuanced insights specific to the aged demographic.
The primary scientific aim of the research is to uncover the conditions influencing elderly (50 and above) citizens' intentions to adopt the MyData based preventive healthcare applications, with a focus on technological and health-related factors. The key areas covered in the study are: Conditions for adoption, Technological factors, Health-related Factors, Willingness to share MyData, Gender impact and Cross-cultural Differences.
The research framework is built upon selected constructs of Universal Theory of Acceptance and Use of Technology (UTAUT2) and Health Protection Motivation constructs using quantitative approach. In addition, a new construct called sharing personal data has been incorporated into the model. Data was collected from an online survey from Nordic population and UK. 374 responses were collected from Nordic sample and 1165 from UK sample which yielded a dataset of 1016 after cleaning original data.
The study identified performance expectancy as a critical technological factor for the Nordic population but not UK, and willingness to share MyData was significant for both UK and Nordics. Regarding health-related factors, self-efficacy emerges as a significant influencer across country segments and gender. The results will not only contribute to academic knowledge but also bear societal impact by informing the design and implementation of digital health solutions for the elderly, promoting improved health outcomes and quality of life.
The primary scientific aim of the research is to uncover the conditions influencing elderly (50 and above) citizens' intentions to adopt the MyData based preventive healthcare applications, with a focus on technological and health-related factors. The key areas covered in the study are: Conditions for adoption, Technological factors, Health-related Factors, Willingness to share MyData, Gender impact and Cross-cultural Differences.
The research framework is built upon selected constructs of Universal Theory of Acceptance and Use of Technology (UTAUT2) and Health Protection Motivation constructs using quantitative approach. In addition, a new construct called sharing personal data has been incorporated into the model. Data was collected from an online survey from Nordic population and UK. 374 responses were collected from Nordic sample and 1165 from UK sample which yielded a dataset of 1016 after cleaning original data.
The study identified performance expectancy as a critical technological factor for the Nordic population but not UK, and willingness to share MyData was significant for both UK and Nordics. Regarding health-related factors, self-efficacy emerges as a significant influencer across country segments and gender. The results will not only contribute to academic knowledge but also bear societal impact by informing the design and implementation of digital health solutions for the elderly, promoting improved health outcomes and quality of life.
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