Pubblicazioni

Autori:

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

Titolo:

A Methodology for Adapting the WHO Evidence-Based Self-Help+ Intervention for Stress Management via Chatbot

Anno:

2025

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

Elettronico

Referee:

Sì

Nome rivista:

JMIR RESEARCH PROTOCOLS

ISSN Rivista:

1929-0748

N° Volume:

14

Intervallo pagine:

1-13

Parole chiave:

digital health; virtual coach; mobile application; breast cancer; pregnancy; stress management

Breve descrizione dei contenuti:

Background: This research paper investigates the adaptation of an evidence-based intervention for mental health, Self-Help Plus (SH+), to a digital platform, aiming to expand mental health support through innovative technological solutions. The SH+ intervention, designed by the World Health Organization (WHO), is a low-intensity, self-guided program aimed at improving mental well-being. The intervention has been integrated into a chatbot-driven mobile application called "ALBA" (Automated WelL-Being Assistant). Objective: This study examines the transition (porting) from a traditional face-to-face, group-based approach to a tech-enabled model, tailored specifically for women with breast cancer and pregnant women. It aims to describe the adaptation of this approach, focusing on two key aspects: i) the shift from in-person delivery to a tech-enabled intervention, and ii) the customization of the intervention to address the unique needs of the selected target groups. Methods: The development of the ALBA application involved a collaborative, multi-disciplinary approach, combining expertise in psychology, eHealth information technology, interaction design, and specific domain knowledge related to pregnancy and oncology. The development process followed two primary methodologies: user-centred design and service design. These approaches emphasize understanding user needs, promoting iterative improvements, and continuously incorporating user feedback. The development followed the Obesity-Related Behavioral Intervention Trials (ORBIT) model, which involves a cycle of literature review, stakeholder consultation, content development, software development, and evaluation. At the same time, specific attention has been dedicated in 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: The manuscript outlines the key steps and processes involved in adapting the SH+ intervention into the ALBA digital platform. This includes an overview of the challenges and opportunities of translating a face-to-face, group-based intervention into a tech-enabled model, and provides insight into how customization for specific populations, such as women with breast cancer and pregnant women, was integrated into the design of the platform. This is in view of informing future studies on the development and adaptation of already validated protocols into m-health intervention in the field of mental health and mental well-being. Conclusions: The digital adaptation of the SH+ intervention into the ALBA platform could represent a significant step forward in expanding the accessibility and personalization of mental health interventions in potentially different settings and target groups. The use of virtual coaching applications can play a central role in improving the availability and easy-to-access of psychological support, even in different and m-health formats. Future developments could include further testing in real-world settings, to expand i) adaptations for various target groups and ii) purpose of use ranging from primary prevention to more clinically focused interventions.

Pagina Web:

https://doi.org/10.2196/69644

Id prodotto:

146705

Handle IRIS:

11562/1166927

ultima modifica:

18 luglio 2025

Citazione bibliografica:

Fietta, Valentina; Rizzi, Silvia; Gios, Lorenzo; Pavesi, Maria Chiara; De Luca, Chiara; Gabrielli, Silvia; Monaro, Merylin; Navarin, Nicolò; Gadotti, Erik; Mayora-Ibarra, Oscar; Purgato, Marianna; Barbui, Corrado; Forti, Stefano, A Methodology for Adapting the WHO Evidence-Based Self-Help+ Intervention for Stress Management via Chatbot «JMIR RESEARCH PROTOCOLS» , vol. 14 , 2025 , pp. 1-13

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo