Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret

Abstract This study investigates the factors influencing user resistance to e-health services among older adults, focusing on the role of information inequality, digital distrust, low self-efficacy, perceived risk, and social influence. Structured questionnaires were used to gather data from 301 older adult participants, and the structural equation modeling method was used to analyze the results. The results show that digital distrust, perceived risk, and user resistance have a significant positive relationship, underscoring the significance of resolving trust and risk concerns in e-health interventions. The study also finds that the association between digital distrust and user resistance is moderated by anticipated regret, indicating that people who anticipate regretting not adopting electronic health services are less likely to oppose digital technologies despite their distrust. Surprisingly, the study did not find support for the hypothesized relationship between information inequality and user resistance, indicating the need for further exploration of this complex relationship. The study contributes to a better understanding of the factors influencing user resistance to e-health services among older adults, offering valuable insights for policymakers and practitioners seeking to promote the adoption of digital health technologies in aging populations.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-09-12
DOI
https://doi.org/10.1057/s41599-024-03457-9
Citations
31
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
32.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret

Mingyue Fan, Brendan Chukwuemeka Ezeudoka
31 citations
Humanities and Social Sciences Communications
Technology Adoption and User Behaviour
32.58
article

Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret

Mingyue Fan, Brendan Chukwuemeka Ezeudoka
article en
31 citations

Abstract

Abstract This study investigates the factors influencing user resistance to e-health services among older adults, focusing on the role of information inequality, digital distrust, low self-efficacy, perceived risk, and social influence. Structured questionnaires were used to gather data from 301 older adult participants, and the structural equation modeling method was used to analyze the results. The results show that digital distrust, perceived risk, and user resistance have a significant positive relationship, underscoring the significance of resolving trust and risk concerns in e-health interventions. The study also finds that the association between digital distrust and user resistance is moderated by anticipated regret, indicating that people who anticipate regretting not adopting electronic health services are less likely to oppose digital technologies despite their distrust. Surprisingly, the study did not find support for the hypothesized relationship between information inequality and user resistance, indicating the need for further exploration of this complex relationship. The study contributes to a better understanding of the factors influencing user resistance to e-health services among older adults, offering valuable insights for policymakers and practitioners seeking to promote the adoption of digital health technologies in aging populations.

Humanities and Social Sciences CommunicationsVol. 11(1)
Jiangsu University (CN)
Openalex Percentile: Top 0%
Technology Adoption and User Behaviour
32.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.