Jmir Mhealth And Uhealth

Jmir Mhealth And Uhealth

Jmir Mhealth 和 Uhealth

  • 2区 中科院分区
  • Q1 JCR分区

高引用文章

文章名称 引用次数
The Impact of mHealth Interventions: Systematic Review of Systematic Reviews 82
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data 49
Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study 38
Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis 37
Medication Adherence Apps: Review and Content Analysis 31
mHealth Technology Use and Implications in Historically Underserved and Minority Populations in the United States: Systematic Literature Review 27
An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study 25
The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis 24
Quality of Publicly Available Physical Activity Apps: Review and Content Analysis 21
Mobile Apps for Caregivers of Older Adults: Quantitative Content Analysis 20
Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review 20
Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study 20
German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS) 20
What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study 19
Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions 18
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review 18
Efficacy of the Mindfulness Meditation Mobile App Calm to Reduce Stress Among College Students: Randomized Controlled Trial 18
Current Knowledge and Adoption of Mobile Health Apps Among Australian General Practitioners: Survey Study 17
The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study 17
The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change 17
The Usability and Effectiveness of Mobile Health Technology-Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review 17
Augmented Reality in Medicine: Systematic and Bibliographic Review 16
Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study 16
Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial 16
Patients' Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies 16
Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis 16
Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study 16
Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review 15
Accuracy of Wrist-Worn Activity Monitors During Common Daily Physical Activities and Types of Structured Exercise: Evaluation Study 15
Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction 15
Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale 15
To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App 15
Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review 14
Benefits of Mobile Apps in Pain Management: Systematic Review 14
A Path to Better-Quality mHealth Apps 14
Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study 14
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study 13
Prevalence of Health App Use Among Older Adults in Germany: National Survey 13
Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review 13
Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial 13
Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review 13
Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review 12
Using Health and Well-Being Apps for Behavior Change: A Systematic Search and Rating of Apps 12
Visualizing Collaboration Characteristics and Topic Burst on International Mobile Health Research: Bibliometric Analysis 12
Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review 12
Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study 12
Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity 12
Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations 12
A Smartphone App (BlueIce) for Young People Who Self-Harm: Open Phase 1 Pre-Post Trial 12
Mobile Phone-Based Use of the Photoplethysmography Technique to Detect Atrial Fibrillation in Primary Care: Diagnostic Accuracy Study of the FibriCheck App 11