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?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 31, 2025
Date Accepted: May 20, 2025

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

Smartphone-Based Self-Monitoring in First Episode Psychosis: Mixed-Methods Study of Barriers and Facilitators to Engagement

Del Piccolo MC, Hammoud R, Khan M, D'Costa VS, Almuqrin A, Georgiades A, Tognin S, Mechelli A

Smartphone-Based Self-Monitoring in First Episode Psychosis: Mixed-Methods Study of Barriers and Facilitators to Engagement

J Med Internet Res 2025;27:e71989

DOI: 10.2196/71989

PMID: 40857702

PMCID: 12380402

Smartphone-based Self-Monitoring in First Episode Psychosis: A Mixed-Methods Study of Barriers and Facilitators to Engagement

  • Maria Chiara Del Piccolo; 
  • Ryan Hammoud; 
  • Maisie Khan; 
  • Vanessa Shanon D'Costa; 
  • Aljawharah Almuqrin; 
  • Anna Georgiades; 
  • Stefania Tognin; 
  • Andrea Mechelli

ABSTRACT

Background:

Despite growing interest in the adoption of smartphone technologies to monitor patient outcomes, only a limited number of studies have investigated the long-term use of smartphone applications in patients with psychosis. This means we have limited understanding of facilitators and barriers to sustained user engagement with these technologies in this population.

Objective:

To examine the impacts of demographic and clinical characteristics on Ecological Momentary Assessment (EMA) completion rates in a large sample of people who experienced a First Episode of Psychosis (FEP); to assess acceptability, barriers and motivators that influence long-term engagement; to understand how to improve users’ experience in future smartphone-based research; to better understand participants’ general attitude toward the use of digital technologies in clinical settings.

Methods:

This study employed a convergent mixed methods design. Linear regression models were used to assess the association between demographics and clinical variables and completion rates. Semi-structured interviews were conducted and analyzed using a hybrid deductive and inductive thematic approach.

Results:

Quantitative

Results:

A total of 274 participants were recruited. The average EMA completion rate was 14.5% (53/365). No statistically significant associations were found between demographic characteristics and EMA completion rates, whilst there was a positive association with baseline level of functioning. PANSS general subscales and depression were negatively associated with completion rates. Qualitative

Results:

20 participants completed the qualitative sub-study. Participants acknowledged the ease of downloading and using the app and the user-friendly interface. They also valued the consistency of the assessments and felt this encouraged self-reflection. However, daily EMA felt time-consuming and repetitive over time, and some participants found it challenging to remain engaged over a long period of time due to competing life priorities. While some participants felt the app lacked tangible benefits, others reported indirect benefits from tracking their daily experiences and wellbeing. The opportunity to contribute to research was highly valued, as well as the importance of human connection with the researchers in sustaining long-term engagement. Participants made a number of suggestions for future studies: reducing EMA frequency to 1-2 per week, integrating passive and active monitoring tools and incorporating individualized features. Finally, most participants supported using an app as part of their routine clinical care, provided data security and privacy were adequately addressed.

Conclusions:

Overall, our study suggests that smartphone-based technologies are both feasible and acceptable monitoring tool for FEP patients, particularly with a frequency of 1-2 assessments per week. Although participants are interested in using smartphone apps as a clinical tool, this must complement, rather than replace, the therapeutic relationship with clinicians. Clinical Trial: IRAS project ID: 278399, REC reference 20/L0/0331


 Citation

Please cite as:

Del Piccolo MC, Hammoud R, Khan M, D'Costa VS, Almuqrin A, Georgiades A, Tognin S, Mechelli A

Smartphone-Based Self-Monitoring in First Episode Psychosis: Mixed-Methods Study of Barriers and Facilitators to Engagement

J Med Internet Res 2025;27:e71989

DOI: 10.2196/71989

PMID: 40857702

PMCID: 12380402

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.