4.4 Article Proceedings Paper

Insights on an automated fall detection device designed for older adult wheelchair and scooter users: A qualitative study

Journal

DISABILITY AND HEALTH JOURNAL
Volume 15, Issue 1, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.dhjo.2021.101207

Keywords

Assistive technology; Older adult; Wheelchair user; Qualitative

Funding

  1. National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) [90 REGE006-01-00]

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This study investigated the desired specifications, perceived ease of use, and perceived usefulness of an automated fall detection device among older adults who use wheelchairs and scooters through semistructured interviews. The findings revealed that preferred features included wireless charging, a watch form, the ability to change the emergency contact, and the option to disable false alarm notifications. Participants believed that an automated fall detection device would be beneficial and user-friendly.
Background: Falls are a concern for older adults who use wheelchairs and scooters. Many wheelchair and scooter users require assistance to recover from a fall and often lie on the ground waiting for assistance for 10 min or more. An automated fall detection device may facilitate communication with care partners and expedite recovery; however, there is limited research on the specifications and features of an automated fall detection device preferred by older adults who use wheelchair and scooter. Objective: To examine the desired specifications, perceived ease of use and perceived usefulness of an automated fall detection device desired by older adults who use a wheelchair or scooter through semistructured interviews. Methods: Fifteen full-time wheelchair and scooter users (9 females; age: 68 +/- 5 years) were interviewed from July to November 2020. Interviews were transcribed, coded, and analyzed. Results: Preferred features include wireless charging, a watch form, ability to change the individual who is contacted in the event of a fall, and the ability to disable a notification in the event of a false alarm. Participants felt that an automated fall detection device would be useful and easy to use. Conclusions: Older adults who use a wheelchair or scooter indicated the need for an automated fall detection device to facilitate recovery from a fall. Participants reported challenges with previous fall detection devices and the need for specific design requirements to facilitate ongoing use. Participants' insights inform the design of a fall detection device to maximize usability and prevent technology abandonment.(c) 2021 Elsevier Inc.

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