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Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

The 10/66 Dementia Research Group study [25] highlights the high cost of dementia for health systems and the negative mental health impacts on women in LMICs, who are often primary caregivers for people with dementia [26]. This underscores the need for further research on dementia diagnosis and care in LMICs and for directing it effectively toward impactful decision-making.

Maria Lazo-Porras, Francisco Jose Tateishi-Serruto, Christopher Butler, María Sofía Cuba-Fuentes, Daniela Rossini-Vilchez, Silvana Perez-Leon, Miriam Lúcar-Flores, J Jaime Miranda, Antonio Bernabe-Ortiz, Francisco Diez-Canseco, Graham Moore, Filipa Landeiro, Maria Kathia Cardenas, Juan Carlos Vera Tudela, Lee White, Rafael A Calvo, William Whiteley, Jemma Hawkins, IMPACT Salud Study Group

JMIR Res Protoc 2025;14:e60296

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

Patient Experiences With a Mobile Self-Care Solution for Low-Complex Orthopedic Injuries: Mixed Methods Study

ankle” smartphone application for the prevention of ankle sprains: design of a randomized controlled trial day-to-day postoperative care education on patients with total knee replacement: randomized controlled trial

Jelle Spierings, Gijs Willinge, Marike Kokke, Sjoerd Repping, Wendela de Lange, Thijs Geerdink, Ruben van Veen, Detlef van der Velde, Carel Goslings, Bas Twigt, Collaboration Group

JMIR Hum Factors 2025;12:e53074

Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis

Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning–Based Sentiment Analysis

Regular users’ and superusers’ sentiments when replying to each other: To do this, we first identified threads started by regular users and superusers, denoted as TU and TS, and calculated the AVS of replies written by the other group of users. Specifically, we computed , which denotes the average sentiment of regular users in reply to superusers' initiated threads; and , which denotes the average sentiment of superusers in reply to regular users' initiated threads.

Xiancheng Li, Emanuela Vaghi, Gabriella Pasi, Neil S Coulson, Anna De Simoni, Marco Viviani, AD HOC Group

J Med Internet Res 2025;27:e56038

Text Messaging Versus Postal Reminders to Improve Participation in a Colorectal Cancer Screening Program: Randomized Controlled Trial

Text Messaging Versus Postal Reminders to Improve Participation in a Colorectal Cancer Screening Program: Randomized Controlled Trial

The trial was stopped early, and we launched a recovery strategy for nonparticipants in the intervention group. The study received ethical approval from the Ethics Committee of the Bellvitge University Hospital (reference PR042/20), which waived the requirement to obtain the participant’s signature as part of the consent process, as the intervention was a minor variation on the invitation practice. The study was performed under Good Clinical Practice and the Declaration of Helsinki.

Nuria Vives, Gemma Binefa, Noemie Travier, Albert Farre, Jon Aritz Panera, Berta Casas, Carmen Vidal, Gemma Ibáñez-Sanz, Montse Garcia, M-TICS research group

JMIR Mhealth Uhealth 2025;13:e64243

Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study

Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaçao: Observational Cohort Study

The 3-week- to 5-year-old age group was of primary interest. Any measurements for an individual who had previously had an elevated measurement of ALT or AST during the study period were removed. In Wales (United Kingdom), pooled data were collected for 4 different health boards. Details on the different health boards can be found in the supplement. The monthly incidence of children meeting the case definition for non–A-E hepatitis was also collected.

Maaike C Swets, Steven R Kerr, Brian MacKenna, Louis Fisher, Merel van Wijnen, Diederik Brandwagt, Paul W Schenk, Pieter Fraaij, Leonardus G Visser, Sebastian Bacon, Amir Mehrkar, Alistair Nichol, Patrick Twomey, Philippa C Matthews, ISARIC4C Hepatitis Study Group, Malcolm G Semple, Geert H Groeneveld, Ben Goldacre, Iain Jones, J Kenneth Baillie

JMIR Public Health Surveill 2024;10:e55376

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline

Members of our study group, including CJ, DLQD, DG, EJW, and OJB, were included for their direct contributions to this project. Additionally, we engaged 5 of the most influential authors in XR research as cited in a recent JMIR article—GR, BKW, PC, ASR, and CB—to incorporate a broad range of perspectives and expertise [2]. We also invited BOR, a pioneer in clinical VR, and BJB, known for his work in VR trial design and implementation.

Johan H Vlake, Denzel LQ Drop, Jasper Van Bommel, Giuseppe Riva, Brenda K Wiederhold, Pietro Cipresso, Albert S Rizzo, Barbara O Rothbaum, Cristina Botella, Lotty Hooft, Oscar J Bienvenu, Christian Jung, Bart Geerts, Evert-Jan Wils, Diederik Gommers, Michel E van Genderen, RATE-XR Expert Group

J Med Internet Res 2024;26:e56790

Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study

Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study

In a recently published network meta-analysis by our group [8] focusing on the outcomes of the 5 classes of drugs used in clinical practice for hypertension treatment, a significant decrease in PWV was observed with angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), and β-blockers (BBs) [8].

Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos, RIGIPREV Investigators Group

J Med Internet Res 2024;26:e54357