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: JMIR Mental Health

Date Submitted: Feb 7, 2024
Date Accepted: Mar 21, 2024

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

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

Smith KA, Hardy A, Vinnikova A, Blease C, Milligan L, Hidalgo-Mazzei D, Lambe S, Marzano L, Uhlhaas PJ, Ostinelli EG, Anmella G, Zangani C, Aronica R, Dwyer B, Torous J, Cipriani A

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

JMIR Ment Health 2024;11:e57155

DOI: 10.2196/57155

PMID: 38717799

PMCID: 11112473

Digital mental health in schizophrenia and other severe mental illnesses: an international consensus on current challenges and potential solutions

  • Katharine A Smith; 
  • Amy Hardy; 
  • Anastasia Vinnikova; 
  • Charlotte Blease; 
  • Lea Milligan; 
  • Diego Hidalgo-Mazzei; 
  • SinĂ©ad Lambe; 
  • Lisa Marzano; 
  • Peter J Uhlhaas; 
  • Edoardo G Ostinelli; 
  • Gerard Anmella; 
  • Caroline Zangani; 
  • Rosario Aronica; 
  • Bridget Dwyer; 
  • John Torous; 
  • Andrea Cipriani

ABSTRACT

Background:

Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly in severe mental illness (SMI).

Objective:

An international multidisciplinary group was convened to reach consensus points on the challenges and potential solutions in collecting data, delivering treatment and the ethical challenges in digital mental health approaches in SMI.

Methods:

The consensus development panel method was used, with an in-person meeting of two groups: the experts and the panel. Membership was multidisciplinary, including those with lived experience. Relevant literature was shared in advance of the meeting and a systematic search of the recent literature was completed to ensure the panel was informed before the meeting with the experts.

Results:

Four broad areas of challenge and proposed solutions were identified: (i) user involvement for real coproduction, (ii) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies and mechanistic research (iii) regulation and funding issues (iv) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, social and population-focussed approaches). Examples are provided with more detail on human-centred research design, lived experience perspectives and biomedical ethics in digital mental health approaches in SMI.

Conclusions:

The consensus agreed on a number of recommendations: (i) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols) (ii) equal emphasis on social and population research as well as biological and psychological approaches (iii) meaningful collaborations across varied disciplines that have previously not worked closely together (iv) increased focus on the business model and product with planning and new funding structures across the whole development pathway (v) increased focus and reporting on ethical issues and potential harms (vi) organisational changes to allow true communication and coproduction with those with lived experience.


 Citation

Please cite as:

Smith KA, Hardy A, Vinnikova A, Blease C, Milligan L, Hidalgo-Mazzei D, Lambe S, Marzano L, Uhlhaas PJ, Ostinelli EG, Anmella G, Zangani C, Aronica R, Dwyer B, Torous J, Cipriani A

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

JMIR Ment Health 2024;11:e57155

DOI: 10.2196/57155

PMID: 38717799

PMCID: 11112473

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.