Search Articles

View query in Help articles search

Search Results (1 to 10 of 201 Results)

Download search results: CSV END BibTex RIS


Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

The epidemiological questionnaire included information on sociodemographic characteristics (registered sex, age, nationality, education, employment status, and job sector), health-related characteristics (self-reported height, weight, smoking habit, health status, chronic conditions, and officially recognized disability, that is, having received a certificate of any degree of disability—physical, sensory, intellectual, or mental disability—after evaluation by the technical teams of the corresponding regional

Miguel Ángel de la Cámara, Nerea Fernández de Larrea-Baz, Roberto Pastor-Barriuso, Amparo Larrauri, Pablo Fernández-Navarro, Marina Pollán, Beatriz Pérez-Gómez, ENE-COVID Study Group

JMIR Public Health Surveill 2025;11:e60658

Exploring Service Users’ Experiences of a Community-Based Intervention to Improve Follow-Up at Bharatpur Eye Hospital in Nepal: Qualitative Study

Exploring Service Users’ Experiences of a Community-Based Intervention to Improve Follow-Up at Bharatpur Eye Hospital in Nepal: Qualitative Study

Evidence from the evaluation of this initiative identified an increase in the number of referrals and attendance of patients for diabetic retinopathy screening with the change in knowledge and referral mechanism [3]. However, providing referrals does not mean the care is complete. Follow-up for eye care services for children, especially in the context of Nepal, is essential for ensuring a continuum of care [4].

Manisha Shrestha, Gopal Bhandari, Sadhan Bhandari, Gudlavalleti Venkata Satyanarayana Murthy, Ruchi Priya, Binod Pandey, Daya Shankar Chaudhary, Puspa Giri, Sureshkumar Kamalakannan, Operational Research Capacity Building Study Group

JMIR Pediatr Parent 2025;8:e65023

Sleep, Health Care–Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey

Sleep, Health Care–Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey

Data for this study were collected as part of a larger national sleep and mental health survey co-developed by the Mood Disorders Society of Canada, a nongovernmental organization advocating for mental health, as well as scientists and clinicians from the Canadian Sleep Research Consortium and the Canadian Sleep Society.

Karianne Dion, Meggan Porteous, Tetyana Kendzerska, Ashley Nixon, Elliott Lee, Massimiliano de Zambotti, Sheila N Garland, Mandeep Singh, Gino De Luca, Samuel Gillman, Andrée-Ann Baril, Dave Gallson, Rebecca Robillard, Canadian Sleep Research Consortium

J Med Internet Res 2025;27:e68816

Efficient Online Recruitment of Patients With Depressive Symptoms Using Social Media: Cross-Sectional Observational Study

Efficient Online Recruitment of Patients With Depressive Symptoms Using Social Media: Cross-Sectional Observational Study

In medical and psychological research, generating valid study results by collecting data from large representative samples is essential [13]. For many research teams, recruiting the number of participants needed on time and within budget limitations becomes a major challenge [14]. Over 80% of trials worldwide fail to complete patient recruitment within the initially planned time frame, with insufficient case numbers being the primary reason for discontinuing 55% of all studies [15].

Carolin Haas, Lisa Klein, Marlene Heckl, Marija Kesić, Ann-Katrin Rueß, Jochen Gensichen, Karoline Lukaschek, Tobias Kruse, POKAL-Group

JMIR Ment Health 2025;12:e65920

The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

Patients in the intervention group filled in the Physical Activity Readiness Questionnaire (PAR-Q) before starting the intervention to determine whether they could safely perform physical activity [16,17]. Patients who were scheduled to receive instructions on increasing physical activity and muscle strengthening through the app were contacted by a member of the research team when answering yes to one or more questions in the PAR-Q.

Miriam van der Velde, Marike van der Leeden, Edwin Geleijn, Cindy Veenhof, Karin Valkenet, Be Prepared Group

JMIR Mhealth Uhealth 2025;13:e58703

Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia (m-RESIST) Solution for Improving Clinical and Functional Outcomes in Treatment-Resistant Schizophrenia: Prospective, Multicenter Efficacy Study

Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia (m-RESIST) Solution for Improving Clinical and Functional Outcomes in Treatment-Resistant Schizophrenia: Prospective, Multicenter Efficacy Study

Vulnerable populations, such as individuals with schizophrenia, require additional research protections to ensure their privacy and security [43]. A cross-cultural psychological assessment focuses on understanding how a client’s cultural background influences their behavior, emotional state, and psychological needs. A recent review of 2248 studies found that only 57 specifically targeted migrants, refugees, or cultural minorities [58].

Jussi Seppälä, Eva Grasa, Anna Alonso-Solis, Alexandra Roldan-Bejarano, Marianne Haapea, Matti Isohanni, Jouko Miettunen, Johanna Caro Mendivelso, Cari Almazán, Katya Rubinstein, Asaf Caspi, Zolt Unoka, Kinga Farkas, Elisenda Reixach, Jesus Berdun, Judith Usall, Susana Ochoa, Iluminada Corripio, Erika Jääskeläinen, m-Resist Group

JMIR Hum Factors 2025;12:e67659

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

This approach offers comprehensive risk evaluation, adaptability to new data, and the potential to uncover novel risk factors and disease mechanisms [11]. Several studies have demonstrated the effectiveness of ML models in deriving quantitative markers for coronary artery disease and predicting the presence of heart disease.

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025;9:e68066

Effect of Early Treatment of Spasticity After Stroke on Motor Recovery: Protocol for the Baclotox Multicenter, Double-Blind, Double-Dummy Randomized Controlled Trial

Effect of Early Treatment of Spasticity After Stroke on Motor Recovery: Protocol for the Baclotox Multicenter, Double-Blind, Double-Dummy Randomized Controlled Trial

Because of the different modes of administration of these treatments, each group receives both an injection and oral tablets. The study therefore comprises three arms: (1) a “toxin” group treated with an injection of botulinum toxin and placebo oral baclofen; (2) a “baclofen” group treated with oral baclofen and an injection of placebo botulinum toxin; and (3) a double “placebo” group treated with placebo oral baclofen and an injection of placebo botulinum toxin.

Emmeline Montane, Nabila Brihmat, Camille Cormier, Claire Thalamas, Vanessa Rousseau, Gerard Tap, Xavier De Boissezon, Evelyne Castel-Lacanal, Baclotox Group, Philippe Marque

JMIR Res Protoc 2025;14:e62951