User acceptance and continuance intention of the BeSt age mHealth application for physical activity promotion and fall prevention in nursing homes - Report - MDSpire

User acceptance and continuance intention of the BeSt age mHealth application for physical activity promotion and fall prevention in nursing homes

  • By

  • Jonathan Diener

  • Jelena Krafft

  • Kerem Doğan

  • Iris Ten Klooster

  • Janina Krell-Roesch

  • Lisette van Gemert-Pijnen

  • Alexander Woll

  • Kathrin Wunsch

  • June 23, 2026

  • 0 min

Share

Clinical Report: Acceptance and Use of BeSt Age Mobile Health App

Overview

This study evaluated the acceptance and ongoing use of the BeSt Age App, a mobile health application aimed at promoting physical activity and preventing falls among nursing home residents. Results indicated positive usability ratings and significant predictors of continuance intention among nursing home employees and residents.

Background

Falls are a significant concern for nursing home residents, with higher incidence rates compared to community-dwelling older adults. The promotion of physical activity is crucial in mitigating fall risks and enhancing overall health outcomes. Mobile health applications like BeSt Age may provide innovative solutions to support exercise interventions in this vulnerable population.

Data Highlights

GroupMean Age (years)Adherence (%)Usability ScoreContinuance Intention
Residents85.0 ± 7.675.1--
Employees51.7 ± 11.585.687.1 ± 154.03 ± 1.22

Key Findings

  • Eleven nursing homes participated with 137 residents and 37 employees.
  • Residents had a mean age of 85 years and low digital competence.
  • Employees rated the usability of the BeSt Age App positively.
  • Perceived usefulness and usability significantly predicted continuance intention.
  • Employee adherence was 85.6%, while resident adherence was 75.1%.

Clinical Implications

Understanding factors influencing user acceptance can aid in the successful implementation of digital health interventions.

Conclusion

The study highlights the role of technology interventions in nursing homes to enhance physical activity and prevent falls among residents.

Related Resources & Content

  1. Frontiers in Digital Health, 2026 -- A pilot feasibility study of a tablet-based virtual community application with shared avatars for promoting health behavior change in older adult care facilities
  2. Journal of Medical Internet Research (JMIR), 2026 -- Development of an mHealth Intervention for Reducing Sedentary Behavior in Older Adults: Delphi Study
  3. Journal of Medical Internet Research (JMIR), 2026 -- Effects of Multicomponent Digital Health Interventions on Multidimensional Physical Activity in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials
  4. npj Digital Medicine, 2026 -- Collaborative Design with Frail Residents of Nursing Homes to Enhance a VR-Based Physio-Cognitive Intervention through Gamification
  5. Falls: assessment and prevention in older people and in people 50 and over at higher risk - NCBI Bookshelf
  6. Assessment of an automated telesurveillance system on the incidence of serious falls in nursing homes (TELEHPAD): Randomized controlled trial - ScienceDirect
  7. Falls: assessment and prevention in older people and in people 50 and over at higher risk - NCBI Bookshelf
  8. Assessment of an automated telesurveillance system on the incidence of serious falls in nursing homes (TELEHPAD): Randomized controlled trial - ScienceDirect

Original Source(s)

Related Content