AUTHOR=Huang Huanhuan , Chen Zhiyu , Cao Songmei , Xiao Mingzhao , Xie Liling , Zhao Qinghua 

TITLE=Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study

JOURNAL=Frontiers in Public Health

VOLUME=9

YEAR=2021

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.687048

DOI=10.3389/fpubh.2021.687048

ISSN=2296-2565

ABSTRACT=<p><bold>Objective:</bold> To explore the Chinese community-dwelling intention of older adults to adopt gerontechnology and its influencing factors.</p><p><bold>Design:</bold> A mixed-methods sequential explanatory design with an inductive approach was employed. In phase 1, a self-made questionnaire was administered from August 2018 to December 2019. Multifactor logistic regression was used to analyze the adoption intention and factors influencing the use of gerontechnology. In phase 2, participants completed a semistructured interview to explore the adoption intention of a specific form of gerontechnology, <italic>Smart Aged Care Platform</italic>, from May to July 2020.</p><p><bold>Setting:</bold> Twelve communities in three districts of Chongqing, China.</p><p><bold>Participants:</bold> Community-dwelling older adults were included.</p><p><bold>Results:</bold> A total of 1,180 older adults completed the quantitative study; two-thirds of them (68.7%) showed adoption intention toward gerontechnology. Nineteen participants (10 users and nine nonusers) completed the qualitative study and four themes were explored. Through a summarized understanding of the qualitative and quantitative data, a conceptual model of influencing factors, namely, predictive, enabling, and need factors, was constructed.</p><p><bold>Conclusions:</bold> This study reveals that most Chinese community-dwelling older adults welcome the emergence of new technologies. However, there was a significant difference in the adoption intention of gerontechnology in Chinese community-dwelling older adults based on their sociodemographic and psychographic characteristics. Our findings extend previous technology acceptance models and theories and contribute to the existing resource base.</p>