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Accepted for/Published in: JMIR Formative Research

Date Submitted: Oct 15, 2022
Date Accepted: Dec 31, 2022

The final, peer-reviewed published version of this preprint can be found here:

A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

d'Offay C, Ng XY, Alexander L, Grant A, Grahamslaw J, Pagliari C, Reed MJ, Carson A, Gillespie DC, Jamjoom AA

A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

JMIR Form Res 2023;7:e43557

DOI: 10.2196/43557

PMID: 36724010

PMCID: 9932878

A digital health intervention for concussion: development and clinical feasibility study

  • Christine d'Offay; 
  • Xin Yi Ng; 
  • Laura Alexander; 
  • Alison Grant; 
  • Julia Grahamslaw; 
  • Claudia Pagliari; 
  • Matthew J Reed; 
  • Alan Carson; 
  • David C Gillespie; 
  • Aimun AB Jamjoom

ABSTRACT

Background:

Concussion is a common condition that can lead to a constellation of symptoms which impact on quality of life, social integration and return to work. There are several evidence-based behavioural and psychological interventions which have been found to improve post-concussion symptom burden. However, these are not routinely delivered, and individuals get limited support during their concussion recovery.

Objective:

Develop and test the feasibility of digital health intervention using a systematic evidence-, theory- and person-based approach.

Methods:

This was a mixed methodology study involving a scoping review (n=21), behavioural analysis and logic model to inform the intervention design and content. During development, the intervention was optimised with feedback from individuals who had experienced concussion (n=12) and healthcare providers (n=11). The intervention was then offered to patients presenting to the emergency department with a concussion (n=50). Participants used the intervention freely and inputted symptom data as part of the program. A number of outcome measures were captured including participant engagement with the intervention, post-concussion symptom burden and attitudes towards the intervention. A selection of participants (n=15) undertook in-depth qualitative interviews to understand their attitudes towards the intervention and how to improve it.

Results:

Metrics indicated high levels of early engagement which tailed off through the course of the intervention. A quarter of study participants were classified as ‘high engagers’ who interacted with all the functionality within the intervention. Quantitative and qualitative feedback indicated a high level of usability and positive perception towards the intervention. Daily symptom diaries (n=494) demonstrated a wide variation in individual participant symptom burden but a decline in average burdens over time. Insights from the interviews were then fed back into development to optimise the intervention and facilitate engagement.

Conclusions:

Using this systematic approach, we have developed a digital health intervention for individuals who have experienced a concussion that is designed to facilitate positive behaviour change. Symptom data inputted as part of the intervention provide insights into post-concussion symptom burden and recovery trajectories. Clinical Trial: Clinicaltrials.gov NCT05069948


 Citation

Please cite as:

d'Offay C, Ng XY, Alexander L, Grant A, Grahamslaw J, Pagliari C, Reed MJ, Carson A, Gillespie DC, Jamjoom AA

A Digital Health Intervention for Concussion: Development and Clinical Feasibility Study

JMIR Form Res 2023;7:e43557

DOI: 10.2196/43557

PMID: 36724010

PMCID: 9932878

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