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A Chatbot-Based Version of a World Health Organization–Validated Intervention (Self-Help Plus) for Stress Management in Pregnant Women: Protocol for a Usability Study

A Chatbot-Based Version of a World Health Organization–Validated Intervention (Self-Help Plus) for Stress Management in Pregnant Women: Protocol for a Usability Study

The sample calculation was further confirmed with the Power Analysis and Sample Size (NCSS LLC) and Stata (Stata Corp LLC) programs, for which the resulting numerosity is 41 participants, assuming null hypothesis (Ho):d=d0, alternative hypothesis (Ha):d≠d0, and considering as study parameters α=.025; mean of group 1 (ma1): 0.000; power: 0.800; mean of group 2 (ma2): 1.000; delta (difference of means, delta): 0.500; expected difference (da): 1.000; and SD of difference (sd_d): 2.000.

Silvia Rizzi, Valentina Fietta, Lorenzo Gios, Stefania Poggianella, Maria Chiara Pavesi, Chiara De Luca, Debora Marroni, Claudia Paoli, Anna Gianatti, Barbara Burlon, Vanda Chiodega, Barbara Endrizzi, Angela Giordano, Francesca Biagioli, Veronica Albertini, Marianna Purgato, Corrado Barbui, Chiara Guella, Erik Gadotti, Stefano Forti, Fabrizio Taddei

JMIR Res Protoc 2025;14:e53891

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study

The dataset we built in this work, called D3 TEC (TEC de Monterrey’s Depression Detection Dataset), stands out for providing 2 new types of data previously unavailable in voice depression classification: Spanish recordings and simultaneous recordings using both professional and smartphone microphones. Moreover, audio quality standards are higher than most publicly available voice depression datasets.

Luis F Brenes, Luis A Trejo, Jose Antonio Cantoral-Ceballos, Daniela Aguilar-De León, Fresia Paloma Hernández-Moreno

JMIR Res Protoc 2025;14:e60439

Validation and Acceptability of the Mobile App Version of the Control of Allergic Rhinitis and Asthma Test for Children (CARATKids): Cross-Sectional Study

Validation and Acceptability of the Mobile App Version of the Control of Allergic Rhinitis and Asthma Test for Children (CARATKids): Cross-Sectional Study

This cross-sectional study was conducted at the Pediatrics Department of Hospital de S. João, a public tertiary care hospital in northern Portugal, from April to December 2024. Children and their caregivers were invited to participate during scheduled pediatric pulmonology appointments. This study followed the guidelines on measurement properties for patient-reported outcomes of the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative.

Dulce Abreu da Mata, Inês Pais-Cunha, Sandra Catarina Ferraz, Daniela da Rocha Couto, Catarina Ferraz, Sónia Silva, José Carlos Valente, Pedro Vieira-Marques, João A Fonseca, Inês Azevedo, Cristina Jácome

JMIR Pediatr Parent 2025;8:e73531

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

For participants in the PD group, an appointment is arranged at the APM, while control group participants attend a meeting at the Escuela Técnica Superior de Ingenieros Industriales at Universidad Politécnica de Madrid. During these sessions, the study’s objectives, procedures, and expectations are thoroughly explained to ensure participants have a comprehensive understanding of their role and responsibilities.

Carlos Polvorinos-Fernández, Luis Sigcha, María Centeno-Cerrato, Guillermo de Arcas, Miriam Grande, Mayca Marín, Isabel Pareés, Juan Carlos Martínez-Castrillo, Ignacio Pavón

JMIR Res Protoc 2025;14:e72820