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Efficacy of COMPAs, an App Designed to Support Communication Between Persons Living With Dementia in Long-Term Care Settings and Their Caregivers: Mixed Methods Implementation Study

Efficacy of COMPAs, an App Designed to Support Communication Between Persons Living With Dementia in Long-Term Care Settings and Their Caregivers: Mixed Methods Implementation Study

Specifically, the project was presented by the research assistant (RA) and the laboratory director (Ana Inés Ansaldo) during a staff meeting. The purpose of the presentation was to stimulate interest in the study and to introduce COMPAs to the staff members. Staff members were asked to contact the head of the LTC unit to express their interest in participating in the study. Each caregiver identified a resident with whom they wanted to improve communication.

Ana Inés Ansaldo, Michèle Masson-Trottier, Barbara Delacourt, Jade Dubuc, Catherine Dubé

JMIR Aging 2024;7:e47565

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Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies

Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies

Gerard Anmella, Miriam Sanabra, Mireia Primé-Tous, Xavier Segú, Myriam Cavero, Ivette Morilla, Iria Grande, Victoria Ruiz, Ariadna Mas, Inés Martín-Villalba, Alejandro Caballo, Julia-Parisad Esteva, Arturo Rodríguez-Rey, Flavia Piazza, Francisco José Valdesoiro, Claudia Rodriguez-Torrella, Marta Espinosa, Giulia Virgili, Carlota Sorroche, Alicia Ruiz, Aleix Solanes, Joaquim Radua, María Antonieta Also, Elisenda Sant, Sandra Murgui, Mireia Sans-Corrales, Allan H Young, Victor Vicens, Jordi Blanch, Elsa Caballeria, Hugo López-Pelayo, Clara López, Victoria Olivé, Laura Pujol, Sebastiana Quesada, Brisa Solé, Carla Torrent, Anabel Martínez-Aran, Joana Guarch, Ricard Navinés, Andrea Murru, Giovanna Fico, Michele de Prisco, Vicenzo Oliva, Silvia Amoretti, Casimiro Pio-Carrino, María Fernández-Canseco, Marta Villegas, Eduard Vieta, Diego Hidalgo-Mazzei

J Med Internet Res 2023;25:e43293

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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Akhil Vaid, Sulaiman Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish Paranjpe, Eddye Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M. Freeman, Edgar Argulian, Andrew Kasarskis, Bethany Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Bottinger, Matthew A Levin, Jagat Narula, Zahi A Fayad, Allan C Just, Alexander W Charney, Girish N Nadkarni, Benjamin S Glicksberg

J Med Internet Res 2020;22(11):e24018

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Article has an altmetric score of 122