Skip to main content
Have a personal or library account? Click to login
Understanding Preferences for a PTSD Support Technology Among Veterans: A Qualitative Analysis Cover

Understanding Preferences for a PTSD Support Technology Among Veterans: A Qualitative Analysis

Open Access
|Nov 2025

Figures & Tables

Table 1

Themes and Subthemes Identified from the Thematic Analysis.

THEMESUBTHEMESCOUNTSUBTHEME DEFINITION
Momentary assessment and interventionAlarm36An indication that veterans are triggered and should use a mitigation technique
Heart rate21The use of heart rate to see if veterans are triggered or not
Mitigation techniques21The use of a variety of techniques to help veterans cope during the triggered state
Periodic assessment and interventionTracking26The collecting of physiological and self-report data to provide context for triggered states
Early prediction23An algorithm that can predict the onset of the triggered state and recommend actions to take to calm down
Memory aids18Reminders about daily activities and health care practices to improve quality of life
Additional help18A virtual coach or companion to help veterans with their activities
Teaching11The ability to teach veterans about how to improve their wellbeing through verified methods
ConnectivityContacts list30A list of close contacts that veterans can reach out to in an emergency
Clinician26The ability to connect with veteran’s clinician when needed
Social platform26A social platform that allows veterans to connect with each other and their health care providers
Communication22The ability to communicate through various methods
Other preferencesEasy to use31The tool should be easy to use for all
Wearable19The tool should be worn on the body
Commands17The tool will tell veterans what to do when triggered
Customizable14The tool should have customizable features
Discreet14The tool should not appear to be a unique device for veterans with PTSD
Language: English
Page range: 156 - 169
Submitted on: Apr 25, 2025
Accepted on: Sep 10, 2025
Published on: Nov 27, 2025
Published by: Virginia Tech Publishing
In partnership with: Paradigm Publishing Services

© 2025 Alec Smith, Xiaomei Wang, Jukrin Moon, Arjun H. Rao, Carolina Rodriguez-Paras, Farzan Sasangohar, published by Virginia Tech Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.