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Related Experiment Video

Updated: Nov 18, 2025

Home-Based Monitor for Gait and Activity Analysis

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Published on: August 8, 2019

Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study.

Marcela D Blinka^1,2, Brian Buta^3,4, Kevin D Bader⁵

¹Center on Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA. mblinka1@jhmi.edu.

|February 5, 2021

Summary

This summary is machine-generated.

Older adults are interested in using home-based sensor technology for frailty assessment to maintain independence. Key concerns involve data management and ensuring technology complements, not replaces, healthcare provider visits.

Keywords:

Frailty Health services Wearable wearable health services.

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Area of Science:

Gerontology
Biomedical Engineering
Health Informatics

Background:

Frailty syndrome significantly impacts older adults, predicting adverse health outcomes.
There's a growing need for improved in-home frailty assessment and doctor-patient communication.
Frailty affects 15% of older adults not residing in nursing homes.

Purpose of the Study:

To explore preferences for a mobile app using sensor technology for in-home frailty assessment.
To gather input from older adults, caregivers, and providers on sensor-based frailty measurement.

Main Methods:

Focus group discussions were conducted with diverse participant groups.
Discussions were recorded, transcribed, and thematically analyzed.
Input was solicited to tailor a mobile app for home-based frailty measurement.

Main Results:

Three themes emerged: perspectives on frailty, perceptions of home sensors, and data management concerns.
Participants recognized the value of knowing frailty status for maintaining independence.
Concerns were raised regarding data security, transfer, and integration into care.

Conclusions:

Older adults across frailty statuses show high acceptance of sensor technologies for health monitoring.
Sensor-based technologies hold promise for in-home frailty assessment in older adults.
Further piloting is recommended to address data management and ensure utility for early health intervention.