Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Currently submitted to: JMIR Human Factors

Date Submitted: Jul 13, 2026
Open Peer Review Period: Jul 13, 2026 - Sep 7, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Concept and Design Validation of a Trauma-Informed Digital Mental Health App for Frontline Workers: A Large-Scale Mixed-Methods Study

  • Nicola Cogan; 
  • Alison Kirk; 
  • William Hodgson; 
  • Christoph Graf; 
  • Susan Rasmussen; 
  • Spence Whittaker; 
  • Heather Archbold; 
  • Dawn Orr; 
  • Donald MacIntyre; 
  • Johannes De Kock; 
  • Susan Ross; 
  • Patricia Graham; 
  • Claire Stewart; 
  • Andy Siddaway; 
  • David Young

ABSTRACT

Background:

Background:

Frontline professionals are routinely exposed to trauma and occupational stress yet face persistent barriers to help-seeking, including stigma, confidentiality concerns, and limited access to timely support. Despite these challenges, frontline professionals consistently demonstrate resilience and sustained functioning under pressure, highlighting the need for interventions that protect psychological wellbeing within demanding systems rather than locating distress solely at the individual level. Digital mental health interventions offer scalable and potentially discreet solutions; however, few undergo structured concept and design evaluation prior to feasibility testing.

Objective:

Objective:

Guided by the UK Medical Research Council (MRC) framework for complex interventions, this study aimed to evaluate the concept and design of a trauma-informed digital mental health app for frontline professionals. Specifically, we examined perceived acceptability, visual appeal, content appropriateness, credibility, perceived usefulness, and preferred design features, alongside identifying barriers and facilitators to adoption.

Methods:

Methods:

A cross-sectional mixed-methods survey was conducted with 1,125 frontline professionals across healthcare, emergency services, transportation, social care, military, and related high-risk sectors. Participants completed a structured prototype walkthrough followed by quantitative ratings of visual appeal, content appropriateness, content relevance, credibility, perceived usefulness, and current digital mental health behaviours. Open-text responses were analysed using the Framework Method to identify themes related to implementation, trust, and occupational fit. Quantitative data were summarised descriptively, and internal consistency of the prototype evaluation scale was assessed.

Results:

Results:

Participants reported relatively low routine use of mobile apps for their own mental health but strong endorsement of the potential usefulness of a frontline-specific digital intervention. The prototype received favourable ratings across domains of visual appeal (M=3.82, SD=0.67), appropriateness for the target audience (M=4.34, SD=0.84), content relevance (M=4.15, SD=0.79), and credibility (M=4.29, SD=1.03), with appropriateness and credibility receiving the highest endorsement. The four-item evaluation scale demonstrated acceptable internal consistency (Cronbach’s α=.75). Preferred features prioritised personalised guidance and rapid-access support over AI-mediated or socially interactive functions. Framework analysis of free-text responses from 484 participants generated seven themes relating to human support, trust and confidentiality, occupational tailoring, in-the-moment coping tools, peer-informed elements, usability requirements, and organisational culture.

Conclusions:

Conclusions:

This large-scale formative evaluation provides strong early support for the acceptability, perceived relevance, and context fit of a trauma-informed digital mental health intervention tailored to frontline professionals. Findings identify clear user-informed priorities for refinement, particularly regarding privacy safeguards, occupational tailoring, integration with human support pathways, and low cognitive burden. Progression through the MRC development phase provides a strong foundation for feasibility testing and implementation research within frontline occupational settings.


 Citation

Please cite as:

Cogan N, Kirk A, Hodgson W, Graf C, Rasmussen S, Whittaker S, Archbold H, Orr D, MacIntyre D, De Kock J, Ross S, Graham P, Stewart C, Siddaway A, Young D

Concept and Design Validation of a Trauma-Informed Digital Mental Health App for Frontline Workers: A Large-Scale Mixed-Methods Study

JMIR Preprints. 13/07/2026:106922

DOI: 10.2196/preprints.106922

URL: https://preprints.jmir.org/preprint/106922

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.