JMIR mHealth and uHealth

Papers
(The H4-Index of JMIR mHealth and uHealth is 45. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Wearable Health Devices in Health Care: Narrative Systematic Review300
System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis103
The Impact of Wearable Technologies in Health Research: Scoping Review103
A Mobile Phone–Based Intervention to Reduce Mental Health Problems in Health Care Workers During the COVID-19 Pandemic (PsyCovidApp): Randomized Controlled Trial102
The Application of Human-Centered Design Approaches in Health Research and Innovation: A Narrative Review of Current Practices100
Older Adults’ Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis99
Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis97
Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials96
Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study89
Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review81
Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework79
Exploring How Older Adults Use a Smart Speaker–Based Voice Assistant in Their First Interactions: Qualitative Study76
Physicians’ Attitudes Toward Prescribable mHealth Apps and Implications for Adoption in Germany: Mixed Methods Study71
Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis71
The Use of Wearables in Clinical Trials During Cancer Treatment: Systematic Review70
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study69
Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Randomized Controlled Trial69
Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study67
Wearing the Future—Wearables to Empower Users to Take Greater Responsibility for Their Health and Care: Scoping Review66
Implementation of Telerehabilitation Interventions for the Self-Management of Cardiovascular Disease: Systematic Review66
Engagement and Effectiveness of a Healthy-Coping Intervention via Chatbot for University Students During the COVID-19 Pandemic: Mixed Methods Proof-of-Concept Study60
Health Apps for Combating COVID-19: Descriptive Review and Taxonomy59
Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling59
Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review58
State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review55
Effects of Smartphone-Based Interventions on Physical Activity in Children and Adolescents: Systematic Review and Meta-analysis55
Efficacy of Zemedy, a Mobile Digital Therapeutic for the Self-management of Irritable Bowel Syndrome: Crossover Randomized Controlled Trial54
Using Co-design in Mobile Health System Development: A Qualitative Study With Experts in Co-design and Mobile Health System Development53
Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years53
Effects of an Artificial Intelligence–Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial53
Impact of Smartphone App–Based Psychological Interventions for Reducing Depressive Symptoms in People With Depression: Systematic Literature Review and Meta-analysis of Randomized Controlled Trials53
Privacy, Data Sharing, and Data Security Policies of Women’s mHealth Apps: Scoping Review and Content Analysis52
Mobile Phone Apps in Australia for Improving Pregnancy Outcomes: Systematic Search on App Stores52
The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review52
Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review51
Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study50
Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review50
Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey49
Myofunctional Therapy App for Severe Apnea–Hypopnea Sleep Obstructive Syndrome: Pilot Randomized Controlled Trial48
Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana48
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study47
Attitudes of General Practitioners Toward Prescription of Mobile Health Apps: Qualitative Study47
Challenges With Developing Secure Mobile Health Applications: Systematic Review47
Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentar47
Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions46
Effects of Psychoeducational Interventions Using Mobile Apps and Mobile-Based Online Group Discussions on Anxiety and Self-Esteem in Women With Breast Cancer: Randomized Controlled Trial45
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