A Divided Old Age through Research on Digital Technologies

Abstract: This thesis aims at contributing to the understanding of digital inequalities among older people, by studying the involvement of older people in research on digital technologies. Some mechanisms driving old age digital inequalities are well known. For instance, people with lower social positions tend to have lower digital skills, to face technology accessibility and affordability issues, and, thus, to engage less with digital technologies compared to their counterparts. However, less attention has been paid to issues related to research and development of digital technologies, such as the involvement of older people in research evaluating new digital technologies. Previous studies indicate that participants and non-participants in research are different one another, with the former being younger, reporting higher educational levels, having better health status than the non-participants. This may bias research outcomes and lead to incorrect conclusions on the utility of digital technologies. The objective of this thesis is to investigate the link between the involvement of older people in digital technology evaluations and the research outcomes. Healthcare is used as exemplifying context in which digital technologies are used. In Study I, participation in digital health research is conceptualised, and a research tool for identifying and measuring selective participation is developed. In Study II and III, factors associated with participation in two digital health intervention studies are analysed. In Study IV, the impact of selective participation on the research outcomes of a digital health study is identified, measured, and corrected. Thesis findings show that participation of older people in digital health research is selective by age, gender, health status, job level, and digital skills, and can indicate a mechanism for digital inequalities. Selective participation biases research outcomes by overemphasising the intervention effects of the over-represented groups over those among the under-represented groups. It can cause an overestimation of the positive effects of digital health technologies due to the under-representation of those groups who do not benefit from the intervention. This promotes digital technologies which increase exclusion risks for some groups of older people and reinforce old age digital and social inequalities. Weighting procedures can be used for mitigating the impact of this mechanism on the research outcomes of intervention studies on digital technologies.