Evidence map›Paper›PMID 40512612›Full record

ArticleJMIR research protocols2025

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

Valentina Fietta, Silvia Rizzi, Lorenzo Gios, Maria Chiara Pavesi, Chiara De Luca, Silvia Gabrielli, Merylin Monaro, Nicolò Navarin, Erik Gadotti, Oscar Mayora-Ibarra and 3 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Valentina FiettaDepartment of General Psychology, University of Padua, Padua, Italy.ORCID 0000-0001-8524-8432
Silvia RizziDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-8610-2432
Lorenzo GiosTrentinoSalute4.0 - Competence Center for Digital Health, Province of Trento, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-2981-0851
Maria Chiara PavesiIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0002-1240-8508
Chiara De LucaIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0007-5689-7987
Silvia GabrielliDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-7080-0615
Merylin MonaroDepartment of General Psychology, University of Padua, Padua, Italy.ORCID 0000-0001-5598-691X
Nicolò NavarinDepartment of Mathematics, University of Padua, Padua, Italy.ORCID 0000-0002-4108-1754
Erik GadottiIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0003-1506-4728
Oscar Mayora-IbarraDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-5773-3876
Marianna PurgatoWHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.ORCID 0000-0002-3783-8195
Corrado BarbuiWHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.ORCID 0000-0003-1073-9282
Stefano FortiDigital Health Research, Centre for Digital Health & Wellbeing, Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-3471-2033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper describes 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 app called "ALBA" (Automated Well-Being Assistant).

objectiveThis protocol describes the stages of 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. The adaptation of this approach is described, focusing on 2 key aspects: (1) the shift from in-person delivery to a tech-enabled intervention and (2) the customization of the intervention to address the unique needs of the selected target groups.

methodsThe development of the ALBA app involved a collaborative, multidisciplinary approach combining expertise in psychology, eHealth IT, interaction design, and specific domain knowledge related to pregnancy and oncology. The development process followed 2 primary methodologies: user-centered 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 was dedicated to (1) adapting the SH+ protocol to suit the chatbot-driven ALBA platform, (2) tailoring content to the target population, and (3) incorporating interactive features to improve engagement and potential efficacy.

resultsThe 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 mobile health (mHealth) interventions in the field of mental health and mental well-being.

conclusionsThe 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 ease of access of psychological support, even in different and mHealth formats. Future developments could include further testing in real-world settings to expand (1) adaptations for various target groups and (2) the purpose of use to range from primary prevention to more clinically focused interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/69644.

Indexed as

Mobile ApplicationsStress, PsychologicalBreast NeoplasmsFemaleGenerative Artificial IntelligenceHumansPregnancyTelemedicineWorld Health Organizationbreast cancerdigital healthmobile applicationpregnancystress managementvirtual coach

Identifiers

PMID40512612
PMCPMC12246761

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.