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Related Experiment Video

Updated: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

An mHealth Design Framework for Older Adults.

Ching Huang1, Elizabeth M Borycki1, Claudia Lai1

  • 1School of Health Information Science, University of Victoria, Victoria, BC, Canada.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study created a mobile health (mHealth) design framework for older adults, offering guidelines to overcome common barriers and improve app usability for the aging population.

Keywords:
frameworksmHealtholder adultsusabilityuser interface design

Related Experiment Videos

Last Updated: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Gerontology
  • Human-Computer Interaction
  • Digital Health

Background:

  • Older adults face unique challenges with mobile health (mHealth) technology, including cognitive, physical, and motivational barriers.
  • Existing mHealth applications often lack age-specific design considerations, leading to poor engagement and usability.
  • There is a growing need for evidence-based frameworks to guide the development of mHealth tools for the aging population.

Purpose of the Study:

  • To develop a comprehensive mHealth Design Framework specifically for older adults.
  • To identify and synthesize design guidelines that address age-related barriers in mHealth application development.
  • To enhance the engagement and usability of mHealth applications for aging populations.

Main Methods:

  • A scoping review was conducted following Arksey and O'Malley's framework.
  • Searches were performed across Ovid MEDLINE®, IEEE Xplore®, and Web of Science® databases.
  • Studies published between 2010 and 2025 were included, with 23 meeting the final criteria from 161 screened records.

Main Results:

  • An mHealth Design Framework was developed, comprising guidelines for designing age-friendly mobile applications.
  • The framework is structured around three key categories: design approaches, age-related barriers, and a design checklist.
  • Key considerations were identified to address cognitive, physical, and motivational challenges faced by older adults.

Conclusions:

  • The developed mHealth Design Framework provides a foundational resource for creating more effective and user-friendly mobile health applications for older adults.
  • Implementing the framework's guidelines can significantly improve the engagement and usability of mHealth tools for the aging demographic.
  • This framework supports the advancement of digital health solutions tailored to the specific needs of the growing elderly population.