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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 4, 2024
Date Accepted: May 2, 2025
Date Submitted to PubMed: Jun 13, 2025

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

World Health Organization Evidence-Based Self-Help Plus Intervention for Stress Management via Chatbot: Protocol for Adaptation to a Tech-Enabled Model

Fietta V, Rizzi S, Gios L, Pavesi MC, De Luca C, Gabrielli S, Monaro M, Navarin N, Gadotti E, Mayora-Ibarra O, Purgato M, Barbui C, Forti S

World Health Organization Evidence-Based Self-Help Plus Intervention for Stress Management via Chatbot: Protocol for Adaptation to a Tech-Enabled Model

JMIR Res Protoc 2025;14:e69644

DOI: 10.2196/69644

PMID: 40512612

PMCID: 12246761

Warning: This is an author submission that is not peer-reviewed or edited.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.

A chatbot based version of the WHO evidence-based intervention Self-Help+ for stress management: from manualized protocol to mobile application

  • Valentina Fietta; 
  • Silvia Rizzi; 
  • Lorenzo Gios; 
  • Maria Chiara Pavesi; 
  • Chiara De Luca; 
  • Silvia Gabrielli; 
  • Merylin Monaro; 
  • Nicolò Navarin; 
  • Erik Gadotti; 
  • Oscar Mayora-Ibarra; 
  • Marianna Purgato; 
  • Corrado Barbui; 
  • Stefano Forti

ABSTRACT

Background:

This research paper explores the use of digital technologies to expand mental health support, focusing on an evidence-based WHO low-intensity intervention called Self-Help Plus (SH+). The SH+ protocol has been integrated into a chatbot-guided mobile application called "ALBA."

Objective:

The present study aims to describe the adaptation (porting) of this approach i) from a face-to-face/group delivered intervention to a tech-enabled intervention and ii) to an adapted intervention for women with breast cancer and for women who are pregnant.

Methods:

The development process is based on multi-professional collaboration, and it embraces a user-centered design approach. It includes i) adapting the SH+ protocol to suit the chatbot-driven ALBA platform, ii) tailoring content to the target population, and iii) incorporating interactive features for improving engagement and potential efficacy.

Results:

Preliminary outcomes are promising, whilst a structured pathway to assess the usability, efficacy and scalability of the intervention is presented. The discussion focuses on the potential of virtual coaching applications in mental health, emphasising how new technologies could further improve accessibility and personalisation of the interventions.

Conclusions:

A final section explores future development scenarios, including real-world research and additional potential adaptations for different target groups and purposes, ranging from primary prevention to clinical practice.


 Citation

Please cite as:

Fietta V, Rizzi S, Gios L, Pavesi MC, De Luca C, Gabrielli S, Monaro M, Navarin N, Gadotti E, Mayora-Ibarra O, Purgato M, Barbui C, Forti S

World Health Organization Evidence-Based Self-Help Plus Intervention for Stress Management via Chatbot: Protocol for Adaptation to a Tech-Enabled Model

JMIR Res Protoc 2025;14:e69644

DOI: 10.2196/69644

PMID: 40512612

PMCID: 12246761

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