Vanderloo L, Carsley S, Agarwal P, Marini F, Dennis C, Birken C Selecting and Evaluating Mobile Health Apps for the Healthy Life Trajectories Initiative: Development of the eHealth Resource Checklist JMIR Mhealth Uhealth 2021;9(12):e27533 URL: mhealth.jmir.org/2021/12/e27533 DOI: 10.2196/27533
Lees verderCategorie: Mobile apps
Physicians’ Attitudes Toward Prescribable mHealth Apps and Implications for Adoption in Germany: Mixed Methods Study
Dahlhausen F, Zinner M, Bieske L, Ehlers J, Boehme P, Fehring L Physicians’ Attitudes Toward Prescribable mHealth Apps and Implications for Adoption in Germany: Mixed Methods Study JMIR Mhealth Uhealth 2021;9(11):e33012 URL: mhealth.jmir.org/2021/11/e33012 DOI: 10.2196/33012
Lees verderIdentification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
Alessa T, Hawley M, de Witte L Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study JMIR Mhealth Uhealth 2021;9(11):e29207 URL: mhealth.jmir.org/2021/11/e29207 DOI: 10.2196/29207
Lees verderContent, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores
Muñoz-Mancisidor A, Martin-Payo R, Gonzalez-Mendez X, Fernández-Álvarez M Content, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores JMIR Mhealth Uhealth 2021;9(11):e27995 URL: mhealth.jmir.org/2021/11/e27995 DOI: 10.2196/27995
Lees verderMobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis
Lee B, Ibrahim S, Zhang T Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis JMIR Mhealth Uhealth 2021;9(11):e32093 URL: mhealth.jmir.org/2021/11/e32093 DOI: 10.2196/32093
Lees verderTecnología para adultos mayores: 27 gadgets que pueden ayudarles en el día a día
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Lees verderApp Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment
Lazard A, Babwah Brennen J, Belina S App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment JMIR Mhealth Uhealth 2021;9(11):e29815 URL: mhealth.jmir.org/2021/11/e29815 DOI: 10.2196/29815
Lees verderAnalysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study
Diaz-Skeete Y, McQuaid D, Akinosun A, Ekerete I, Carragher N, Carragher L Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study JMIR Mhealth Uhealth 2021;9(11):e30674 URL: mhealth.jmir.org/2021/11/e30674 DOI:
Lees verderImpact of an eHealth Smartphone App on the Mental Health of Patients With Psoriasis: Prospective Randomized Controlled Intervention Study
Domogalla L, Beck A, Schulze-Hagen T, Herr R, Benecke J, Schmieder A Impact of an eHealth Smartphone App on the Mental Health of Patients With Psoriasis: Prospective Randomized Controlled Intervention Study JMIR Mhealth Uhealth 2021;9(10):e28149 URL: mhealth.jmir.org/2021/10/e28149 DOI: 10.2196/28149
Lees verderAutomatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study
Santala O, Halonen J, Martikainen S, Jäntti H, Rissanen T, Tarvainen M, Laitinen T, Laitinen T, Väliaho E, Hartikainen J, Martikainen T, Lipponen J Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study JMIR Mhealth Uhealth 2021;9(10):e29933 URL: mhealth.jmir.org/2021/10/e29933 DOI: 10.2196/29933
Lees verderComplete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach: Experimental Study
Woo M, Mishra P, Lin J, Kar S, Deas N, Linduff C, Niu S, Yang Y, McClendon J, Smith D, Shelton S, Gainey C, Gerard W, Smith M, Griffin S, Gimbel R, Wang K Complete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach:
Lees verderIdentification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review
Woulfe F, Fadahunsi K, Smith S, Chirambo G, Larsson E, Henn P, Mawkin M, O’ Donoghue J Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review JMIR Mhealth Uhealth 2021;9(10):e28384 URL: mhealth.jmir.org/2021/10/e28384 DOI: 10.2196/28384
Lees verderSmartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
Chen H, Tzeng S, Hsiao Y, Chen R, Hung E, Lee O Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study JMIR Mhealth Uhealth 2021;9(10):e32444 URL: mhealth.jmir.org/2021/10/e32444 DOI: 10.2196/32444
Lees verderThe Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features
Balaskas A, Schueller S, Cox A, Doherty G The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features JMIR Mhealth Uhealth 2021;9(10):e26712 URL: mhealth.jmir.org/2021/10/e26712 DOI: 10.2196/26712
Lees verderAppropriation of mHealth Interventions for Maternal Health Care in Sub-Saharan Africa: Hermeneutic Review
Maliwichi P, Chigona W, Sowon K Appropriation of mHealth Interventions for Maternal Health Care in Sub-Saharan Africa: Hermeneutic Review JMIR Mhealth Uhealth 2021;9(10):e22653 URL: mhealth.jmir.org/2021/10/e22653 DOI: 10.2196/22653
Lees verderAn mHealth-Based Intervention for Adolescents With Type 1 Diabetes and Their Parents: Pilot Feasibility and Efficacy Single-Arm Study
Holtz B, Mitchell K, Holmstrom A, Cotten S, Dunneback J, Jimenez-Vega J, Ellis D, Wood M An mHealth-Based Intervention for Adolescents With Type 1 Diabetes and Their Parents: Pilot Feasibility and Efficacy Single-Arm Study JMIR Mhealth Uhealth 2021;9(9):e23916 URL: mhealth.jmir.org/2021/9/e23916 DOI: 10.2196/23916
Lees verderDiagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
Chen C, Lin H, Wang M, Chu Y, Chang C, Huang C, Cheng Y Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis JMIR Mhealth Uhealth 2021;9(9):e28378 URL: mhealth.jmir.org/2021/9/e28378 DOI: 10.2196/28378
Lees verderHow to Add Your Official Medical Records to the iPhone’s Health App
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Lees verderToward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study
Palos-Sanchez P, Saura J, Rios Martin M, Aguayo-Camacho M Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study JMIR Mhealth Uhealth 2021;9(9):e27021 URL: mhealth.jmir.org/2021/9/e27021 DOI: 10.2196/27021
Lees verderExploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis
Cao J, Lim Y, Sengoku S, Guo X, Kodama K Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis JMIR Mhealth Uhealth 2021;9(9):e31097 URL: mhealth.jmir.org/2021/9/e31097 DOI: 10.2196/31097
Lees verderPromoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study
Saliasi I, Martinon P, Darlington E, Smentek C, Tardivo D, Bourgeois D, Dussart C, Carrouel F, Fraticelli L Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study JMIR Mhealth Uhealth 2021;9(8):e30480 URL: mhealth.jmir.org/2021/8/e30480 DOI: 10.2196/30480
Lees verderMethods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study
Guest J, Adam E, Lucas I, Chandler C, Filipowicz R, Luisi N, Gravens L, Leung K, Chavanduka T, Bonar E, Bauermeister J, Stephenson R, Sullivan P Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study JMIR Mhealth Uhealth 2021;9(8):e28232 URL: mhealth.jmir.org/2021/8/e28232 DOI: 10.2196/28232
Lees verderUsefulness of Smartphone Apps for Improving Nutritional Status of Pancreatic Cancer Patients: Randomized Controlled Trial
Keum J, Chung M, Kim Y, Ko H, Sung M, Jo J, Park J, Bang S, Park S, Song S, Lee H Usefulness of Smartphone Apps for Improving Nutritional Status of Pancreatic Cancer Patients: Randomized Controlled Trial JMIR Mhealth Uhealth 2021;9(8):e21088 URL: mhealth.jmir.org/2021/8/e21088 DOI: 10.2196/21088
Lees verderUna máquina de coser y un hilo un tanto especial: con esto han creado esta camiseta “inteligente” capaz de realizar ECG
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Lees verderRelationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study
Klaver N, van de Klundert J, van den Broek R, Askari M Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study JMIR Mhealth Uhealth 2021;9(8):e26845 URL: mhealth.jmir.org/2021/8/e26845 DOI: 10.2196/26845
Lees verderSupporting Women Undergoing IVF Treatment With Timely Patient Information Through an App: Randomized Controlled Trial
Timmers T, Keijsers M, Kremer J, Janssen L, Smeenk J Supporting Women Undergoing IVF Treatment With Timely Patient Information Through an App: Randomized Controlled Trial JMIR Mhealth Uhealth 2021;9(8):e28104 URL: mhealth.jmir.org/2021/8/e28104 DOI: 10.2196/28104
Lees verderDigital Natives’ Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study
Haggenmüller S, Krieghoff-Henning E, Jutzi T, Trapp N, Kiehl L, Utikal J, Fabian S, Brinker T Digital Natives’ Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study JMIR Mhealth Uhealth 2021;9(8):e22909 URL: mhealth.jmir.org/2021/8/e22909 DOI: 10.2196/22909
Lees verder7 Great Gadgets to Improve Your Mental Health
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Lees verderHow Do Heart Rate Tracking Apps Work? Can You Trust Them?
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Lees verderEffects of a Personalized Smartphone App on Bowel Preparation Quality: Randomized Controlled Trial
van der Zander Q, Reumkens A, van de Valk B, Winkens B, Masclee A, de Ridder R Effects of a Personalized Smartphone App on Bowel Preparation Quality: Randomized Controlled Trial JMIR Mhealth Uhealth 2021;9(8):e26703 URL: mhealth.jmir.org/2021/8/e26703 DOI: 10.2196/26703
Lees verderThe 8 Best Pedometer Apps for iPhone
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Lees verderMobile Apps as Audience-Centered Health Communication Platforms
Mackert M, Mandell D, Donovan E, Walker L, Henson-García M, Bouchacourt L Mobile Apps as Audience-Centered Health Communication Platforms JMIR Mhealth Uhealth 2021;9(8):e25425 URL: mhealth.jmir.org/2021/8/e25425 DOI: 10.2196/25425
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Lees verderThe Best 5 Apps to Support Breast Cancer Patient
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Lees verder5 Things the Cronometer App Will Teach You About Eating More Healthily
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Lees verderThe 10 Best Health Apps That’ll Help You Stay Fit
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Lees verderPredicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, Oetzmann C, Lamers F, Siddi S, Simblett S, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Narayan V, Annas P, Hotopf M, Dobson R, RADAR-CNS Consortium
Lees verderPerspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study
Vasiloglou M, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study JMIR Mhealth Uhealth 2021;9(7):e27885 URL: mhealth.jmir.org/2021/7/e27885 DOI: 10.2196/27885
Lees verderWound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study
Zhang J, Mihai C, Tüshaus L, Scebba G, Distler O, Karlen W Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study JMIR Mhealth Uhealth 2021;9(7):e26149 URL: mhealth.jmir.org/2021/7/e26149 DOI: 10.2196/26149
Lees verderAcceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study
Materia F, Smyth J Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study JMIR Mhealth Uhealth 2021;9(7):e23303 URL: mhealth.jmir.org/2021/7/e23303 DOI: 10.2196/23303
Lees verderSmartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years
Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years JMIR Mhealth Uhealth 2021;9(7):e24308 URL: mhealth.jmir.org/2021/7/e24308 DOI: 10.2196/24308
Lees verderAssessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study
Grau-Corral I, Pantoja P, Grajales III F, Kostov B, Aragunde V, Puig-Soler M, Roca D, Couto E, Sisó-Almirall A Assessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study JMIR Mhealth Uhealth 2021;9(7):e17660 URL: mhealth.jmir.org/2021/7/e17660 DOI: 10.2196/17660
Lees verderEvaluating Quality, Usability, Evidence-Based Content, and Gamification Features in Mobile Learning Apps Designed to Teach Children Basic Life Support: Systematic Search in App Stores and Content Analysis
Fijačko N, Masterson Creber R, Gosak L, Štiglic G, Egan D, Chaka B, Debeljak N, Strnad M, Skok P Evaluating Quality, Usability, Evidence-Based Content, and Gamification Features in Mobile Learning Apps Designed to Teach Children Basic Life Support: Systematic Search in App Stores and Content Analysis JMIR Mhealth Uhealth 2021;9(7):e25437
Lees verderA Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case
Song T, Yu P, Bliokas V, Probst Y, Peoples G, Qian S, Houston L, Perez P, Amirghasemi M, Cui T, Hitige N, Smith N A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case JMIR Mhealth Uhealth 2021;9(7):e20650
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Lees verderEarly Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey
Touzani R, Schultz E, Holmes S, Vandentorren S, Arwidson P, Guillemin F, Rey D, Rouquette A, Bouhnik A, Mancini J Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey JMIR Mhealth Uhealth 2021;9(7):e27768 URL: mhealth.jmir.org/2021/7/e27768 DOI: 10.2196/27768
Lees verderThe Value of Mobile Health in Improving Breastfeeding Outcomes Among Perinatal or Postpartum Women: Systematic Review and Meta-analysis of Randomized Controlled Trials
Qian J, Wu T, Lv M, Fang Z, Chen M, Zeng Z, Jiang S, Chen W, Zhang J The Value of Mobile Health in Improving Breastfeeding Outcomes Among Perinatal or Postpartum Women: Systematic Review and Meta-analysis of Randomized Controlled Trials JMIR Mhealth Uhealth 2021;9(7):e26098 URL: mhealth.jmir.org/2021/7/e26098 DOI: 10.2196/26098
Lees verderA School-Based Mobile App Intervention for Enhancing Emotion Regulation in Children: Exploratory Trial
Moltrecht B, Patalay P, Deighton J, Edbrooke-Childs J A School-Based Mobile App Intervention for Enhancing Emotion Regulation in Children: Exploratory Trial JMIR Mhealth Uhealth 2021;9(7):e21837 URL: mhealth.jmir.org/2021/7/e21837 DOI: 10.2196/21837
Lees verderAssessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study
Farage G, Simmons C, Kocak M, Klesges R, Talcott G, Richey P, Hare M, Johnson K, Sen S, Krukowski R Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study JMIR Mhealth Uhealth 2021;9(7):e18741 URL: mhealth.jmir.org/2021/7/e18741 DOI: 10.2196/18741
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