Evidence map›Paper›PMID 39355954›Full record

ArticleJMIR human factors2024

A Chatbot-Based Version of the World Health Organization-Validated Self-Help Plus Intervention for Stress Management: Co-Design and Usability Testing.

Valentina Fietta, Silvia Rizzi, Chiara De Luca, Lorenzo Gios, Maria Chiara Pavesi, Silvia Gabrielli, Merylin Monaro, Stefano Forti

Abstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Valentina FiettaFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0001-8524-8432
Silvia RizziFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-8610-2432
Chiara De LucaIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0007-5689-7987
Lorenzo GiosFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-2981-0851
Maria Chiara PavesiIstituto Pavoniano Artigianelli, Trento, Italy.ORCID 0009-0002-1240-8508
Silvia GabrielliFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-7080-0615
Merylin MonaroDepartment of General Psychology, University of Padova, Padova, Italy.ORCID 0000-0001-5598-691X
Stefano FortiFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-3471-2033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancements in technology offer new opportunities to support vulnerable populations, such as pregnant women and women diagnosed with breast cancer, during physiologically and psychologically stressful periods.

objectiveThis study aims to adapt and co-design the World Health Organization's Self-Help Plus intervention into a mobile health intervention for these target groups.

methodsOn the basis of the Obesity-Related Behavioral Intervention Trials and Center for eHealth Research and Disease Management models, low-fidelity and high-fidelity prototypes were developed. Prototypes were evaluated by 13 domain experts from diverse sectors and 15 participants from the target groups to assess usability, attractiveness, and functionality through semantic differential scales, the User Version of the Mobile Application Rating Scale questionnaire, and semistructured interviews.

resultsFeedback from participants indicated positive perceptions of the mobile health intervention, highlighting its ease of use, appropriate language, and attractive multimedia content. Areas identified for improvement included enhancing user engagement through reminders, monitoring features, and increased personalization. The quality of the content and adherence to initial protocols were positively evaluated.

conclusionsThis research provides valuable insights for future studies aiming to enhance the usability, efficacy, and effectiveness of the app, suggesting the potential role of a chatbot-delivered Self-Help Plus intervention as a supportive tool for pregnant women and women with a breast cancer diagnosis.

Indexed as

Mobile ApplicationsStress, PsychologicalTelemedicineWorld Health OrganizationAdultBreast NeoplasmsFemaleHumansMaleMiddle AgedPregnancySelf CareSelf-ManagementSurveys and Questionnairesacceptance and commitment therapyACTbreast cancerdevelopmenteHealthmHealthmobile healthpregnancyusabilityuser-centered designwell-being

Identifiers

PMID39355954
PMCPMC11530720

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.