TY - JOUR AU - Bakker, P. Jessie AU - McClenahan, J. Samantha AU - Fromy, Piper AU - Turner, Simon AU - Peterson, T. Barry AU - Vandendriessche, Benjamin AU - Goldsack, C. Jennifer PY - 2025/2/7 TI - A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies JO - J Med Internet Res SP - e58956 VL - 27 KW - digital health technologies KW - analytical validation KW - digital medicine KW - reference measures KW - fit-for-purpose digital clinical measures UR - https://www.jmir.org/2025/1/e58956 UR - http://dx.doi.org/10.2196/58956 UR - http://www.ncbi.nlm.nih.gov/pubmed/39918870 ID - info:doi/10.2196/58956 ER - TY - JOUR AU - Zhang, Lan AU - Bullen, Christopher AU - Chen, Jinsong PY - 2025/1/20 TI - Digital Health Innovations to Catalyze the Transition to Value-Based Health Care JO - JMIR Med Inform SP - e57385 VL - 13 KW - digital health KW - value-based health care KW - VBHC KW - patient-reported outcome measures KW - PROM KW - digital transformation KW - health care innovation KW - patient-centric care KW - health technology KW - patient-reported outcome KW - PRO KW - outcome measure KW - telehealth KW - telemedicine KW - eHealth KW - personalized KW - customized KW - engagement KW - patient-centered care KW - standardization KW - implementation UR - https://medinform.jmir.org/2025/1/e57385 UR - http://dx.doi.org/10.2196/57385 ID - info:doi/10.2196/57385 ER - TY - JOUR AU - Izumida, Yoshihiko AU - Omura, Takashi AU - Fujiwara, Masahiro AU - Nukaya, Shoko AU - Yoneyama, Akio AU - Boubacar, Sow AU - Yabe, Shinichiro AU - Noguchi, Rika AU - Nakayama, Shima AU - Muraoka, Wataru AU - Okuno, Yuki AU - Miyashita, Sho AU - Ishihara, Yurika AU - Moriwaki, Yuto AU - Otani, Ryoji AU - Adachi, Junichiro AU - Tanabe, Kenichiro AU - Yamano, Yoshihisa AU - Takai, Yasushi AU - Honjo, Masaru PY - 2024/12/23 TI - Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan JO - Interact J Med Res SP - e57332 VL - 13 KW - Sync for Science-J KW - S4S-J KW - electronic medical record KW - personal health record KW - privacy preference manager KW - patient-generated health data KW - Health Level 7 Fast Health Care Interoperability Resources KW - HL7-FHIR KW - logical observation identifiers names and codes KW - LOINC KW - open science KW - mobile health KW - app KW - digital health KW - digital intervention UR - https://www.i-jmr.org/2024/1/e57332 UR - http://dx.doi.org/10.2196/57332 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/57332 ER - TY - JOUR AU - Dobson, Rosie AU - Whittaker, Robyn AU - Abroms, C. Lorien AU - Bramley, Dale AU - Free, Caroline AU - McRobbie, Hayden AU - Stowell, Melanie AU - Rodgers, Anthony PY - 2024/12/17 TI - Don?t Forget the Humble Text Message: 25 Years of Text Messaging in Health JO - J Med Internet Res SP - e59888 VL - 26 KW - text messaging KW - messaging KW - SMS KW - texting KW - mHealth KW - mobile health UR - https://www.jmir.org/2024/1/e59888 UR - http://dx.doi.org/10.2196/59888 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/59888 ER - TY - JOUR AU - Bober, Timothy AU - Rollman, L. Bruce AU - Handler, Steven AU - Watson, Andrew AU - Nelson, A. Lyndsay AU - Faieta, Julie AU - Rosland, Ann-Marie PY - 2024/10/9 TI - Digital Health Readiness: Making Digital Health Care More Inclusive JO - JMIR Mhealth Uhealth SP - e58035 VL - 12 KW - digital health KW - digital health literacy KW - informatics KW - digital disparities KW - digital health readiness KW - inclusivity KW - digital health tool KW - literacy KW - patient support KW - health system UR - https://mhealth.jmir.org/2024/1/e58035 UR - http://dx.doi.org/10.2196/58035 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/58035 ER - TY - JOUR AU - Hibbing, R. Paul AU - Khan, Misal Maryam PY - 2024/9/27 TI - Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors JO - JMIR Mhealth Uhealth SP - e57158 VL - 12 KW - measurement KW - optical sensors KW - sensor fusion KW - wearable electronic devices KW - accelerometry KW - photoplethysmography KW - digital health KW - exercise KW - sedentary behavior UR - https://mhealth.jmir.org/2024/1/e57158 UR - http://dx.doi.org/10.2196/57158 UR - http://www.ncbi.nlm.nih.gov/pubmed/39331461 ID - info:doi/10.2196/57158 ER - TY - JOUR AU - Velmovitsky, Elkind Pedro AU - Kirolos, Merna AU - Alencar, Paulo AU - Leatherdale, Scott AU - Cowan, Donald AU - Morita, Pelegrini Plinio PY - 2024/9/12 TI - Leveraging mHealth Technologies for Public Health JO - JMIR Public Health Surveill SP - e49719 VL - 10 KW - mobile health KW - mHealth KW - smart technology KW - wearables KW - public health KW - population health KW - apps KW - surveys KW - self-report KW - surveillance KW - digital public health KW - mobile phone UR - https://publichealth.jmir.org/2024/1/e49719 UR - http://dx.doi.org/10.2196/49719 UR - http://www.ncbi.nlm.nih.gov/pubmed/39265164 ID - info:doi/10.2196/49719 ER - TY - JOUR AU - Pulantara, Wayan I. AU - Wang, Yuhan AU - Burke, E. Lora AU - Sereika, M. Susan AU - Bizhanova, Zhadyra AU - Kariuki, K. Jacob AU - Cheng, Jessica AU - Beatrice, Britney AU - Loar, India AU - Cedillo, Maribel AU - Conroy, B. Molly AU - Parmanto, Bambang PY - 2024/8/7 TI - Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture JO - JMIR Mhealth Uhealth SP - e50043 VL - 12 KW - integrated system KW - IoT integration KW - wearable KW - mHealth Fitbit KW - Nokia KW - clinical trial management KW - research study management KW - study tracking KW - remote assessment KW - tracking KW - Fitbit KW - wearable devices KW - device KW - management KW - data analysis KW - behavioral KW - data collection KW - Internet of Things KW - IoT KW - mHealth KW - mobile health UR - https://mhealth.jmir.org/2024/1/e50043 UR - http://dx.doi.org/10.2196/50043 ID - info:doi/10.2196/50043 ER - TY - JOUR AU - Monachelli, Rebecca AU - Davis, Watkins Sharon AU - Barnard, Allison AU - Longmire, Michelle AU - Docherty, P. John AU - Oakley-Girvan, Ingrid PY - 2024/3/26 TI - Designing mHealth Apps to Incorporate Evidence-Based Techniques for Prolonging User Engagement JO - Interact J Med Res SP - e51974 VL - 13 KW - adherence KW - app design KW - attrition KW - mHealth KW - user engagement KW - user experience KW - proof-of-concept UR - https://www.i-jmr.org/2024/1/e51974 UR - http://dx.doi.org/10.2196/51974 UR - http://www.ncbi.nlm.nih.gov/pubmed/38416858 ID - info:doi/10.2196/51974 ER - TY - JOUR AU - Cheng, Weibin AU - Cao, Xiaowen AU - Lian, Wanmin AU - Tian, Junzhang PY - 2024/1/30 TI - An Introduction to Smart Home Ward?Based Hospital-at-Home Care in China JO - JMIR Mhealth Uhealth SP - e44422 VL - 12 KW - smart home ward KW - telemonitoring KW - telemedicine KW - home care KW - hospital at home KW - healthcare delivery KW - implementation KW - smart ward KW - medical monitoring KW - medical care KW - rehabilitation KW - health care UR - https://mhealth.jmir.org/2024/1/e44422 UR - http://dx.doi.org/10.2196/44422 ID - info:doi/10.2196/44422 ER - TY - JOUR AU - Hong, Wonki PY - 2024/1/22 TI - Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones JO - JMIR Mhealth Uhealth SP - e48803 VL - 12 KW - mobile health KW - mHealth KW - smartphonization KW - wearable deviceization KW - new form factor KW - sensor-integrated display UR - https://mhealth.jmir.org/2024/1/e48803 UR - http://dx.doi.org/10.2196/48803 ID - info:doi/10.2196/48803 ER - TY - JOUR AU - Gunsilius, Zimmerman Chloe AU - Heffner, Joseph AU - Bruinsma, Sienna AU - Corinha, Madison AU - Cortinez, Maria AU - Dalton, Hadley AU - Duong, Ellen AU - Lu, Joshua AU - Omar, Aisulu AU - Owen, Whittington Lucy Long AU - Roarr, Nazario Bradford AU - Tang, Kevin AU - Petzschner, H. Frederike PY - 2024/1/12 TI - SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment JO - JMIR Mhealth Uhealth SP - e47177 VL - 12 KW - acute pain KW - acute-chronic pain transition KW - chronic pain KW - clinical outcome measurement KW - digital health KW - ecological momentary assessment KW - EMA KW - ESM KW - experience sampling methodology KW - mHealth KW - mobile health KW - pain management KW - pain self-management KW - patient reported outcomes KW - smartphone app UR - https://mhealth.jmir.org/2024/1/e47177 UR - http://dx.doi.org/10.2196/47177 UR - http://www.ncbi.nlm.nih.gov/pubmed/38214952 ID - info:doi/10.2196/47177 ER - TY - JOUR AU - Schwab, D. Julian AU - Werle, D. Silke AU - Hühne, Rolf AU - Spohn, Hannah AU - Kaisers, X. Udo AU - Kestler, A. Hans PY - 2023/12/22 TI - The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices JO - JMIR Med Inform SP - e49301 VL - 11 KW - semantic terminology KW - semantic KW - terminology KW - terminologies KW - data linkage KW - interoperability KW - data exchange KW - SNOMED CT KW - LOINC KW - eHealth KW - patient-reported outcome questionnaires KW - requirement for standards KW - standard KW - standards KW - PRO KW - PROM KW - patient reported UR - https://medinform.jmir.org/2023/1/e49301 UR - http://dx.doi.org/10.2196/49301 UR - http://www.ncbi.nlm.nih.gov/pubmed/38133917 ID - info:doi/10.2196/49301 ER - TY - JOUR AU - Nourse, Rebecca AU - Dingler, Tilman AU - Kelly, Jaimon AU - Kwasnicka, Dominika AU - Maddison, Ralph PY - 2023/12/18 TI - The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions JO - J Med Internet Res SP - e44265 VL - 25 KW - smart home KW - health KW - chronic condition KW - chronic illness KW - digital health KW - technology KW - behavior change KW - wearable KW - smart technology KW - smart health KW - economic KW - cost KW - security KW - data storage KW - implementation UR - https://www.jmir.org/2023/1/e44265 UR - http://dx.doi.org/10.2196/44265 UR - http://www.ncbi.nlm.nih.gov/pubmed/38109188 ID - info:doi/10.2196/44265 ER - TY - JOUR AU - Masel, Joanna AU - Petrie, Mackie James Ian AU - Bay, Jason AU - Ebbers, Wolfgang AU - Sharan, Aalekh AU - Leibrand, Michael Scott AU - Gebhard, Andreas AU - Zimmerman, Samuel PY - 2023/12/4 TI - Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure JO - JMIR Public Health Surveill SP - e49560 VL - 9 KW - COVID-19 KW - SARS-CoV-2 KW - pandemic preparedness KW - decentralized protocols KW - smartphone KW - mobile phone KW - contact tracing UR - https://publichealth.jmir.org/2023/1/e49560 UR - http://dx.doi.org/10.2196/49560 UR - http://www.ncbi.nlm.nih.gov/pubmed/38048155 ID - info:doi/10.2196/49560 ER - TY - JOUR AU - Lederer, Lauren AU - Breton, Amanda AU - Jeong, Hayoung AU - Master, Hiral AU - Roghanizad, R. Ali AU - Dunn, Jessilyn PY - 2023/11/3 TI - The Importance of Data Quality Control in Using Fitbit Device Data From the All of Us Research Program JO - JMIR Mhealth Uhealth SP - e45103 VL - 11 KW - wearable device KW - Fitbit KW - All of Us KW - data quality KW - noise KW - missingness KW - biometric monitoring UR - https://mhealth.jmir.org/2023/1/e45103 UR - http://dx.doi.org/10.2196/45103 ID - info:doi/10.2196/45103 ER - TY - JOUR AU - Fareed, Naleef AU - Swoboda, Christine AU - Wang, Yiting AU - Strouse, Robert AU - Hoseus, Jenelle AU - Baker, Carrie AU - Joseph, J. Joshua AU - Venkatesh, Kartik PY - 2023/10/12 TI - An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions?Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes JO - JMIR Diabetes SP - e46654 VL - 8 KW - personalization KW - mobile health KW - mHealth KW - pregnancy KW - pregnant KW - maternal KW - personalized KW - diabetic KW - algorithm KW - diabetes KW - rule-based algorithms KW - social determinants of health KW - inclusive KW - inclusivity KW - design UR - https://diabetes.jmir.org/2023/1/e46654 UR - http://dx.doi.org/10.2196/46654 UR - http://www.ncbi.nlm.nih.gov/pubmed/37824196 ID - info:doi/10.2196/46654 ER - TY - JOUR AU - Eustis, H. Elizabeth AU - LoPresti, Jessica AU - Aguilera, Adrian AU - Schueller, M. Stephen PY - 2023/10/3 TI - Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components JO - J Med Internet Res SP - e45409 VL - 25 KW - technology KW - mobile health KW - mHealth KW - mental health KW - cultural responsivity KW - human support KW - mobile phone UR - https://www.jmir.org/2023/1/e45409 UR - http://dx.doi.org/10.2196/45409 UR - http://www.ncbi.nlm.nih.gov/pubmed/37788050 ID - info:doi/10.2196/45409 ER - TY - JOUR AU - Khanna, Amit AU - Jones, Graham PY - 2023/9/27 TI - Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies JO - JMIR Form Res SP - e47486 VL - 7 KW - digital health KW - monitoring KW - personalized medicine KW - Parkinson disease KW - wearables KW - neurodegenerative disorder KW - cognitive impairment KW - economic burden KW - digital technology KW - symptom management KW - disease control KW - debilitating disease KW - intervention UR - https://formative.jmir.org/2023/1/e47486 UR - http://dx.doi.org/10.2196/47486 UR - http://www.ncbi.nlm.nih.gov/pubmed/37756050 ID - info:doi/10.2196/47486 ER - TY - JOUR AU - Choi, Soyoung PY - 2023/9/20 TI - Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing JO - JMIR Nursing SP - e50991 VL - 6 KW - personal health data KW - personal informatics KW - self-care KW - self-tracking KW - mobile health technology KW - human-technology KW - human-computer KW - human computer interaction KW - health tracking KW - framework KW - frameworks KW - model KW - models KW - mHealth KW - mobile health KW - informatics UR - https://nursing.jmir.org/2023/1/e50991 UR - http://dx.doi.org/10.2196/50991 UR - http://www.ncbi.nlm.nih.gov/pubmed/37728970 ID - info:doi/10.2196/50991 ER - TY - JOUR AU - An, Qingfan AU - Kelley, M. Marjorie AU - Hanners, Audra AU - Yen, Po-Yin PY - 2023/8/25 TI - Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process JO - JMIR Form Res SP - e45694 VL - 7 KW - mHealth KW - mobile health KW - apps KW - human-centered design KW - sociotechnical KW - sustainability KW - mobile technology KW - speculative design KW - mobile phone UR - https://formative.jmir.org/2023/1/e45694 UR - http://dx.doi.org/10.2196/45694 UR - http://www.ncbi.nlm.nih.gov/pubmed/37624639 ID - info:doi/10.2196/45694 ER - TY - JOUR AU - Kanning, Martina AU - Yi, Li AU - Yang, Chih-Hsiang AU - Niermann, Christina AU - Fina, Stefan PY - 2023/5/11 TI - Mental Health in Urban Environments: Uncovering the Black Box of Person-Place Interactions Requires Interdisciplinary Approaches JO - JMIR Mhealth Uhealth SP - e41345 VL - 11 KW - physical activity KW - urban health KW - ambulatory assessment KW - environment KW - mental health KW - real-time data KW - within-subject association UR - https://mhealth.jmir.org/2023/1/e41345 UR - http://dx.doi.org/10.2196/41345 UR - http://www.ncbi.nlm.nih.gov/pubmed/37166963 ID - info:doi/10.2196/41345 ER - TY - JOUR AU - Diaz, Claudio AU - Caillaud, Corinne AU - Yacef, Kalina PY - 2023/3/6 TI - Mining Sensor Data to Assess Changes in Physical Activity Behaviors in Health Interventions: Systematic Review JO - JMIR Med Inform SP - e41153 VL - 11 KW - activity tracker KW - wearable electronic devices KW - fitness trackers KW - data mining KW - artificial intelligence KW - health KW - education KW - behavior change KW - physical activity KW - wearable devices KW - trackers KW - health education KW - sensor data N2 - Background: Sensors are increasingly used in health interventions to unobtrusively and continuously capture participants? physical activity in free-living conditions. The rich granularity of sensor data offers great potential for analyzing patterns and changes in physical activity behaviors. The use of specialized machine learning and data mining techniques to detect, extract, and analyze these patterns has increased, helping to better understand how participants? physical activity evolves. Objective: The aim of this systematic review was to identify and present the various data mining techniques employed to analyze changes in physical activity behaviors from sensors-derived data in health education and health promotion intervention studies. We addressed two main research questions: (1) What are the current techniques used for mining physical activity sensor data to detect behavior changes in health education or health promotion contexts? (2) What are the challenges and opportunities in mining physical activity sensor data for detecting physical activity behavior changes? Methods: The systematic review was performed in May 2021 using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We queried the Association for Computing Machinery (ACM), IEEE Xplore, ProQuest, Scopus, Web of Science, Education Resources Information Center (ERIC), and Springer literature databases for peer-reviewed references related to wearable machine learning to detect physical activity changes in health education. A total of 4388 references were initially retrieved from the databases. After removing duplicates and screening titles and abstracts, 285 references were subjected to full-text review, resulting in 19 articles included for analysis. Results: All studies used accelerometers, sometimes in combination with another sensor (37%). Data were collected over a period ranging from 4 days to 1 year (median 10 weeks) from a cohort size ranging between 10 and 11615 (median 74). Data preprocessing was mainly carried out using proprietary software, generally resulting in step counts and time spent in physical activity aggregated predominantly at the daily or minute level. The main features used as input for the data mining models were descriptive statistics of the preprocessed data. The most common data mining methods were classifiers, clusters, and decision-making algorithms, and these focused on personalization (58%) and analysis of physical activity behaviors (42%). Conclusions: Mining sensor data offers great opportunities to analyze physical activity behavior changes, build models to better detect and interpret behavior changes, and allow for personalized feedback and support for participants, especially where larger sample sizes and longer recording times are available. Exploring different data aggregation levels can help detect subtle and sustained behavior changes. However, the literature suggests that there is still work remaining to improve the transparency, explicitness, and standardization of the data preprocessing and mining processes to establish best practices and make the detection methods easier to understand, scrutinize, and reproduce. UR - https://medinform.jmir.org/2023/1/e41153 UR - http://dx.doi.org/10.2196/41153 UR - http://www.ncbi.nlm.nih.gov/pubmed/36877559 ID - info:doi/10.2196/41153 ER - TY - JOUR AU - Dixon, G. William AU - van der Veer, N. Sabine AU - Ali, Mustafa Syed AU - Laidlaw, Lynn AU - Dobson, B. Richard J. AU - Sudlow, Cathie AU - Chico, Tim AU - MacArthur, L. Jacqueline A. AU - Doherty, Aiden PY - 2023/2/7 TI - Charting a Course for Smartphones and Wearables to Transform Population Health Research JO - J Med Internet Res SP - e42449 VL - 25 KW - mHealth KW - wearable KW - person-generated health data KW - population health research KW - devices KW - research KW - health KW - data KW - mobile health KW - clinical KW - digital UR - https://www.jmir.org/2023/1/e42449 UR - http://dx.doi.org/10.2196/42449 UR - http://www.ncbi.nlm.nih.gov/pubmed/36749628 ID - info:doi/10.2196/42449 ER - TY - JOUR AU - Lee, Peter AU - Kim, Heepyung AU - Kim, Yongshin AU - Choi, Woohyeok AU - Zitouni, Sami M. AU - Khandoker, Ahsan AU - Jelinek, F. Herbert AU - Hadjileontiadis, Leontios AU - Lee, Uichin AU - Jeong, Yong PY - 2022/6/21 TI - Beyond Pathogen Filtration: Possibility of Smart Masks as Wearable Devices for Personal and Group Health and Safety Management JO - JMIR Mhealth Uhealth SP - e38614 VL - 10 IS - 6 KW - smart mask KW - pathogen filtration KW - COVID-19 KW - protective equipment KW - digital health KW - wearable KW - smart device KW - wearable device KW - sensor KW - health monitoring UR - https://mhealth.jmir.org/2022/6/e38614 UR - http://dx.doi.org/10.2196/38614 UR - http://www.ncbi.nlm.nih.gov/pubmed/35679029 ID - info:doi/10.2196/38614 ER - TY - JOUR AU - Merid, Beza AU - Robles, Cielito Maria AU - Nallamothu, K. Brahmajee AU - Newman, W. Mark AU - Skolarus, E. Lesli PY - 2022/6/10 TI - Viewing Mobile Health Technology Design Through the Lens of Amplification Theory JO - JMIR Mhealth Uhealth SP - e31069 VL - 10 IS - 6 KW - mHealth KW - digital health KW - cardiovascular disease KW - high blood pressure KW - structural barriers to health KW - racial health disparities KW - Amplification Theory of Technology UR - https://mhealth.jmir.org/2022/6/e31069 UR - http://dx.doi.org/10.2196/31069 UR - http://www.ncbi.nlm.nih.gov/pubmed/35687411 ID - info:doi/10.2196/31069 ER - TY - JOUR AU - Forchuk, Cheryl AU - Serrato, Jonathan AU - Lizotte, Daniel AU - Mann, Rupinder AU - Taylor, Gavin AU - Husni, Sara PY - 2022/4/29 TI - Developing a Smart Home Technology Innovation for People With Physical and Mental Health Problems: Considerations and Recommendations JO - JMIR Mhealth Uhealth SP - e25116 VL - 10 IS - 4 KW - smart home KW - smart technology KW - mental health KW - physical health, eHealth KW - comorbidity KW - innovation KW - communication KW - connection KW - uHealth KW - ubiquitous health KW - digital health UR - https://mhealth.jmir.org/2022/4/e25116 UR - http://dx.doi.org/10.2196/25116 UR - http://www.ncbi.nlm.nih.gov/pubmed/35486422 ID - info:doi/10.2196/25116 ER - TY - JOUR AU - Adamowicz, Lukas AU - Christakis, Yiorgos AU - Czech, D. Matthew AU - Adamusiak, Tomasz PY - 2022/4/21 TI - SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing JO - JMIR Mhealth Uhealth SP - e36762 VL - 10 IS - 4 KW - wearable sensors KW - digital medicine KW - gait analysis KW - human movement analysis KW - digital biomarkers KW - uHealth KW - wearable KW - sensor KW - gait KW - movement KW - mobility KW - physical activity KW - sleep KW - Python KW - coding KW - open source KW - software package KW - algorithm KW - machine learning KW - data science KW - computer programming UR - https://mhealth.jmir.org/2022/4/e36762 UR - http://dx.doi.org/10.2196/36762 UR - http://www.ncbi.nlm.nih.gov/pubmed/35353039 ID - info:doi/10.2196/36762 ER - TY - JOUR AU - Mann, M. Devin AU - Lawrence, Katharine PY - 2022/4/15 TI - Reimagining Connected Care in the Era of Digital Medicine JO - JMIR Mhealth Uhealth SP - e34483 VL - 10 IS - 4 KW - health information technology KW - telehealth KW - remote patient monitoring KW - mobile health KW - mHealth KW - eHealth KW - digital health KW - innovation KW - process model KW - information technology KW - digital medicine KW - automation UR - https://mhealth.jmir.org/2022/4/e34483 UR - http://dx.doi.org/10.2196/34483 UR - http://www.ncbi.nlm.nih.gov/pubmed/35436238 ID - info:doi/10.2196/34483 ER - TY - JOUR AU - Hamberger, Marietta AU - Ikonomi, Nensi AU - Schwab, D. Julian AU - Werle, D. Silke AU - Fürstberger, Axel AU - Kestler, MR Angelika AU - Holderried, Martin AU - Kaisers, X. Udo AU - Steger, Florian AU - Kestler, A. Hans PY - 2022/4/13 TI - Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives JO - JMIR Mhealth Uhealth SP - e32696 VL - 10 IS - 4 KW - mHealth KW - mobile apps KW - patient empowerment KW - digital health KW - interaction empowerment KW - patient-doctor relationship KW - health care network KW - intersectoral communication UR - https://mhealth.jmir.org/2022/4/e32696 UR - http://dx.doi.org/10.2196/32696 UR - http://www.ncbi.nlm.nih.gov/pubmed/35416786 ID - info:doi/10.2196/32696 ER - TY - JOUR AU - Cho, Jaeho Peter AU - Yi, Jaehan AU - Ho, Ethan AU - Shandhi, Hasan Md Mobashir AU - Dinh, Yen AU - Patil, Aneesh AU - Martin, Leatrice AU - Singh, Geetika AU - Bent, Brinnae AU - Ginsburg, Geoffrey AU - Smuck, Matthew AU - Woods, Christopher AU - Shaw, Ryan AU - Dunn, Jessilyn PY - 2022/4/8 TI - Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design JO - JMIR Mhealth Uhealth SP - e29510 VL - 10 IS - 4 KW - bring your own device KW - wearable device KW - mHealth UR - https://mhealth.jmir.org/2022/4/e29510 UR - http://dx.doi.org/10.2196/29510 UR - http://www.ncbi.nlm.nih.gov/pubmed/34913871 ID - info:doi/10.2196/29510 ER - TY - JOUR AU - Fonseka, N. Lakshan AU - Woo, P. Benjamin K. PY - 2022/4/7 TI - Wearables in Schizophrenia: Update on Current and Future Clinical Applications JO - JMIR Mhealth Uhealth SP - e35600 VL - 10 IS - 4 KW - wearables KW - smartwatch KW - schizophrenia KW - digital phenotype KW - wearable KW - mHealth KW - mobile health KW - review KW - clinical application KW - clinical utility KW - clinical use KW - literature search KW - diagnosis KW - prevention UR - https://mhealth.jmir.org/2022/4/e35600 UR - http://dx.doi.org/10.2196/35600 UR - http://www.ncbi.nlm.nih.gov/pubmed/35389361 ID - info:doi/10.2196/35600 ER - TY - JOUR AU - Chettri, Shibani AU - Wang, Vivian AU - Balkin, Asher Eli AU - Rayo, F. Michael AU - Lee, N. Clara PY - 2022/4/1 TI - Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators JO - JMIR Mhealth Uhealth SP - e32244 VL - 10 IS - 4 KW - mHealth KW - mobile app KW - patient-collected data KW - data security KW - mobile health KW - patient data KW - clinical research KW - research facilities UR - https://mhealth.jmir.org/2022/4/e32244 UR - http://dx.doi.org/10.2196/32244 UR - http://www.ncbi.nlm.nih.gov/pubmed/35363154 ID - info:doi/10.2196/32244 ER - TY - JOUR AU - Idris, Yassin Muhammed AU - Korin, Maya AU - Araya, Faven AU - Chowdhury, Sayeeda AU - Medina, Patty AU - Cruz, Larissa AU - Hawkins, Trey-Rashad AU - Brown, Humberto AU - Claudio, Luz PY - 2022/3/9 TI - Including the Public in Public eHealth: The Need for Community Participation in the Development of State-Sponsored COVID-19?Related Mobile Apps JO - JMIR Mhealth Uhealth SP - e30872 VL - 10 IS - 3 KW - mobile apps KW - COVID-19 KW - CBPR KW - digital health KW - eHealth KW - community health KW - health disparities UR - https://mhealth.jmir.org/2022/3/e30872 UR - http://dx.doi.org/10.2196/30872 UR - http://www.ncbi.nlm.nih.gov/pubmed/35113793 ID - info:doi/10.2196/30872 ER - TY - JOUR AU - Sunshine, Jacob PY - 2022/2/21 TI - Smart Speakers: The Next Frontier in mHealth JO - JMIR Mhealth Uhealth SP - e28686 VL - 10 IS - 2 KW - digital health KW - mobile health KW - machine learning KW - smart speaker KW - smartphone UR - https://mhealth.jmir.org/2022/2/e28686 UR - http://dx.doi.org/10.2196/28686 UR - http://www.ncbi.nlm.nih.gov/pubmed/35188467 ID - info:doi/10.2196/28686 ER - TY - JOUR AU - Zeng, Billy AU - Bove, Riley AU - Carini, Simona AU - Lee, Shing-Jih Jonathan AU - Pollak, JP AU - Schleimer, Erica AU - Sim, Ida PY - 2022/2/10 TI - Standardized Integration of Person-Generated Data Into Routine Clinical Care JO - JMIR Mhealth Uhealth SP - e31048 VL - 10 IS - 2 KW - mobile health KW - data sharing KW - health care KW - patient-generated health data KW - telemedicine UR - https://mhealth.jmir.org/2022/2/e31048 UR - http://dx.doi.org/10.2196/31048 UR - http://www.ncbi.nlm.nih.gov/pubmed/35142627 ID - info:doi/10.2196/31048 ER - TY - JOUR AU - MacLeod, Lucy AU - Suruliraj, Banuchitra AU - Gall, Dominik AU - Bessenyei, Kitti AU - Hamm, Sara AU - Romkey, Isaac AU - Bagnell, Alexa AU - Mattheisen, Manuel AU - Muthukumaraswamy, Viswanath AU - Orji, Rita AU - Meier, Sandra PY - 2021/10/26 TI - A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study JO - JMIR Mhealth Uhealth SP - e20638 VL - 9 IS - 10 KW - mobile sensing KW - youth KW - psychiatry KW - feasibility KW - mobile phone N2 - Background: Internalizing disorders are the most common psychiatric problems observed among youth in Canada. Sadly, youth with internalizing disorders often avoid seeking clinical help and rarely receive adequate treatment. Current methods of assessing internalizing disorders usually rely on subjective symptom ratings, but internalizing symptoms are frequently underreported, which creates a barrier to the accurate assessment of these symptoms in youth. Therefore, novel assessment tools that use objective data need to be developed to meet the highest standards of reliability, feasibility, scalability, and affordability. Mobile sensing technologies, which unobtrusively record aspects of youth behaviors in their daily lives with the potential to make inferences about their mental health states, offer a possible method of addressing this assessment barrier. Objective: This study aims to explore whether passively collected smartphone sensor data can be used to predict internalizing symptoms among youth in Canada. Methods: In this study, the youth participants (N=122) completed self-report assessments of symptoms of anxiety, depression, and attention-deficit hyperactivity disorder. Next, the participants installed an app, which passively collected data about their mobility, screen time, sleep, and social interactions over 2 weeks. Then, we tested whether these passive sensor data could be used to predict internalizing symptoms among these youth participants. Results: More severe depressive symptoms correlated with more time spent stationary (r=0.293; P=.003), less mobility (r=0.271; P=.006), higher light intensity during the night (r=0.227; P=.02), and fewer outgoing calls (r=?0.244; P=.03). In contrast, more severe anxiety symptoms correlated with less time spent stationary (r=?0.249; P=.01) and greater mobility (r=0.234; P=.02). In addition, youths with higher anxiety scores spent more time on the screen (r=0.203; P=.049). Finally, adding passively collected smartphone sensor data to the prediction models of internalizing symptoms significantly improved their fit. Conclusions: Passively collected smartphone sensor data provide a useful way to monitor internalizing symptoms among youth. Although the results replicated findings from adult populations, to ensure clinical utility, they still need to be replicated in larger samples of youth. The work also highlights intervention opportunities via mobile technology to reduce the burden of internalizing symptoms early on. UR - https://mhealth.jmir.org/2021/10/e20638 UR - http://dx.doi.org/10.2196/20638 UR - http://www.ncbi.nlm.nih.gov/pubmed/34698650 ID - info:doi/10.2196/20638 ER - TY - JOUR AU - Ksi??czyk, Marcin AU - D?bska-Koz?owska, Agnieszka AU - Warcho?, Izabela AU - Lubi?ski, Andrzej PY - 2021/8/27 TI - Enhancing Healthcare Access?Smartphone Apps in Arrhythmia Screening: Viewpoint JO - JMIR Mhealth Uhealth SP - e23425 VL - 9 IS - 8 KW - arrhythmia screening KW - atrial fibrillation KW - mobile electrocardiography KW - mobile health KW - phonocardiography KW - photoplethysmography KW - seismocardiography KW - stroke prevention UR - https://mhealth.jmir.org/2021/8/e23425 UR - http://dx.doi.org/10.2196/23425 UR - http://www.ncbi.nlm.nih.gov/pubmed/34448723 ID - info:doi/10.2196/23425 ER - TY - JOUR AU - Mackert, Michael AU - Mandell, Dorothy AU - Donovan, Erin AU - Walker, Lorraine AU - Henson-García, Mike AU - Bouchacourt, Lindsay PY - 2021/8/17 TI - Mobile Apps as Audience-Centered Health Communication Platforms JO - JMIR Mhealth Uhealth SP - e25425 VL - 9 IS - 8 KW - health communication KW - mHealth KW - mobile apps KW - mobile health KW - prenatal health KW - pregnancy KW - audience-centered UR - https://mhealth.jmir.org/2021/8/e25425 UR - http://dx.doi.org/10.2196/25425 UR - http://www.ncbi.nlm.nih.gov/pubmed/34402797 ID - info:doi/10.2196/25425 ER - TY - JOUR AU - Fonseka, N. Lakshan AU - Woo, KP Benjamin PY - 2021/7/15 TI - Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives JO - JMIR Mhealth Uhealth SP - e28664 VL - 9 IS - 7 KW - consumer KW - wearables KW - smartwatch KW - cancer KW - oncology KW - chemotherapy KW - apps UR - https://mhealth.jmir.org/2021/7/e28664 UR - http://dx.doi.org/10.2196/28664 UR - http://www.ncbi.nlm.nih.gov/pubmed/34264191 ID - info:doi/10.2196/28664 ER - TY - JOUR AU - Willems, H. Sofie AU - Rao, Jyotsna AU - Bhambere, Sailee AU - Patel, Dipu AU - Biggins, Yvonne AU - Guite, W. Jessica PY - 2021/6/11 TI - Digital Solutions to Alleviate the Burden on Health Systems During a Public Health Care Crisis: COVID-19 as an Opportunity JO - JMIR Mhealth Uhealth SP - e25021 VL - 9 IS - 6 KW - coronavirus KW - digital health KW - multiplatform KW - chat KW - symptom tracking KW - well-being KW - COVID-19 KW - online platform KW - symptom KW - monitoring KW - follow-up UR - https://mhealth.jmir.org/2021/6/e25021 UR - http://dx.doi.org/10.2196/25021 UR - http://www.ncbi.nlm.nih.gov/pubmed/34033575 ID - info:doi/10.2196/25021 ER - TY - JOUR AU - Krzesinski, Pawel AU - Sobotnicki, Aleksander AU - Gacek, Adam AU - Siebert, Janusz AU - Walczak, Andrzej AU - Murawski, Piotr AU - Gielerak, Grzegorz PY - 2021/5/5 TI - Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart Failure JO - JMIR Mhealth Uhealth SP - e25937 VL - 9 IS - 5 KW - heart failure KW - impedance cardiography KW - remote monitoring KW - overhydration KW - hemodynamics KW - heart KW - cardiac function KW - cardiac KW - monitor UR - https://mhealth.jmir.org/2021/5/e25937 UR - http://dx.doi.org/10.2196/25937 UR - http://www.ncbi.nlm.nih.gov/pubmed/33949964 ID - info:doi/10.2196/25937 ER - TY - JOUR AU - Kumar, Ravindra AU - Das, Aparup PY - 2021/4/13 TI - The Potential of mHealth as a Game Changer for the Management of Sickle Cell Disease in India JO - JMIR Mhealth Uhealth SP - e25496 VL - 9 IS - 4 KW - sickle cell disease KW - drug adherence KW - mHealth KW - India UR - https://mhealth.jmir.org/2021/4/e25496 UR - http://dx.doi.org/10.2196/25496 UR - http://www.ncbi.nlm.nih.gov/pubmed/33847598 ID - info:doi/10.2196/25496 ER - TY - JOUR AU - Rafiei, Ramin AU - Williams, Chelsea AU - Jiang, Jeannette AU - Aungst, Dy Timothy AU - Durrer, Matthias AU - Tran, Dao AU - Howald, Ralph PY - 2021/3/18 TI - Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices JO - JMIR Mhealth Uhealth SP - e25406 VL - 9 IS - 3 KW - digital health KW - artificial intelligence KW - drug delivery KW - biopharma KW - autoinjector KW - injectable devices KW - disease management KW - autoimmune KW - oncology KW - rare diseases UR - https://mhealth.jmir.org/2021/3/e25406 UR - http://dx.doi.org/10.2196/25406 UR - http://www.ncbi.nlm.nih.gov/pubmed/33621188 ID - info:doi/10.2196/25406 ER - TY - JOUR AU - Balbim, M. Guilherme AU - Marques, G. Isabela AU - Marquez, X. David AU - Patel, Darshilmukesh AU - Sharp, K. Lisa AU - Kitsiou, Spyros AU - Nyenhuis, M. Sharmilee PY - 2021/3/1 TI - Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions JO - JMIR Mhealth Uhealth SP - e25289 VL - 9 IS - 3 KW - physical activity KW - fitness trackers KW - Fitbit KW - smartphones KW - interventional studies KW - adults KW - older adults KW - wearable KW - intervention UR - https://mhealth.jmir.org/2021/3/e25289 UR - http://dx.doi.org/10.2196/25289 UR - http://www.ncbi.nlm.nih.gov/pubmed/33646135 ID - info:doi/10.2196/25289 ER - TY - JOUR AU - Pach, Daniel AU - Rogge, A. Alizé AU - Wang, Jiani AU - Witt, M. Claudia PY - 2021/2/8 TI - Five Lessons Learned From Randomized Controlled Trials on Mobile Health Interventions: Consensus Procedure on Practical Recommendations for Sustainable Research JO - JMIR Mhealth Uhealth SP - e20630 VL - 9 IS - 2 KW - mHealth KW - mobile apps KW - pain KW - behavior change techniques (BCTs) KW - recommendations N2 - Background: Clinical research on mobile health (mHealth) interventions is too slow in comparison to the rapid speed of technological advances, thereby impeding sustainable research and evidence-based implementation of mHealth interventions. Objective: We aimed to establish practical lessons from the experience of our working group, which might accelerate the development of future mHealth interventions and their evaluation by randomized controlled trials (RCTs). Methods: This paper is based on group and expert discussions, and focuses on the researchers? perspectives after four RCTs on mHealth interventions for chronic pain. Results: The following five lessons are presented, which are based on practical application, increase of speed, and sustainability: (1) explore stakeholder opinions, (2) develop the mHealth app and trial simultaneously, (3) minimize complexity, (4) manage necessary resources, and (5) apply behavior change techniques. Conclusions: The five lessons developed may lead toward an agile research environment. Agility might be the key factor in the development and research process of a potentially sustainable and evidence-based mHealth intervention. UR - https://mhealth.jmir.org/2021/2/e20630 UR - http://dx.doi.org/10.2196/20630 UR - http://www.ncbi.nlm.nih.gov/pubmed/33555263 ID - info:doi/10.2196/20630 ER - TY - JOUR AU - D'Alfonso, Simon AU - Lederman, Reeva AU - Bucci, Sandra AU - Berry, Katherine PY - 2020/12/29 TI - The Digital Therapeutic Alliance and Human-Computer Interaction JO - JMIR Ment Health SP - e21895 VL - 7 IS - 12 KW - therapeutic alliance KW - digital mental health KW - affective computing KW - persuasive computing KW - positive computing KW - mobile phone KW - mHealth UR - http://mental.jmir.org/2020/12/e21895/ UR - http://dx.doi.org/10.2196/21895 UR - http://www.ncbi.nlm.nih.gov/pubmed/33372897 ID - info:doi/10.2196/21895 ER - TY - JOUR AU - Bent, Brinnae AU - Dunn, P. Jessilyn PY - 2020/12/22 TI - Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? JO - JMIR Mhealth Uhealth SP - e25137 VL - 8 IS - 12 KW - digital medicine KW - digital health KW - mHealth KW - wearables KW - sensors KW - validation KW - pandemic KW - COVID-19 UR - http://mhealth.jmir.org/2020/12/e25137/ UR - http://dx.doi.org/10.2196/25137 UR - http://www.ncbi.nlm.nih.gov/pubmed/33315580 ID - info:doi/10.2196/25137 ER - TY - JOUR AU - Du, Li AU - Raposo, Lúcia Vera AU - Wang, Meng PY - 2020/11/27 TI - COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control JO - JMIR Mhealth Uhealth SP - e23194 VL - 8 IS - 11 KW - COVID-19 KW - contact tracing apps KW - privacy KW - public health KW - global health UR - http://mhealth.jmir.org/2020/11/e23194/ UR - http://dx.doi.org/10.2196/23194 UR - http://www.ncbi.nlm.nih.gov/pubmed/33156804 ID - info:doi/10.2196/23194 ER - TY - JOUR AU - Bruce, Courtenay AU - Harrison, Patricia AU - Giammattei, Charlie AU - Desai, Shetal-Nicholas AU - Sol, R. Joshua AU - Jones, Stephen AU - Schwartz, Roberta PY - 2020/11/11 TI - Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes JO - JMIR Mhealth Uhealth SP - e17577 VL - 8 IS - 11 KW - innovation KW - health care KW - digital technology KW - digital interventions KW - patient-facing technologies KW - patient-centered care KW - patient centeredness KW - patient experience KW - patient engagement KW - patient activation KW - quality KW - effectiveness KW - quality improvement KW - information technologies KW - outcomes KW - readmissions KW - length of stay KW - patient adherence UR - http://mhealth.jmir.org/2020/11/e17577/ UR - http://dx.doi.org/10.2196/17577 UR - http://www.ncbi.nlm.nih.gov/pubmed/33174846 ID - info:doi/10.2196/17577 ER - TY - JOUR AU - Morse, M. Rachel AU - Myburgh, Hanlie AU - Reubi, David AU - Archey, E. Ava AU - Busakwe, Leletu AU - Garcia-Prats, J. Anthony AU - Hesseling, C. Anneke AU - Jacobs, Stephanie AU - Mbaba, Sharon AU - Meyerson, Kyla AU - Seddon, A. James AU - van der Zalm, M. Marieke AU - Wademan, T. Dillon AU - Hoddinott, Graeme PY - 2020/11/11 TI - Opportunities for Mobile App?Based Adherence Support for Children With Tuberculosis in South Africa JO - JMIR Mhealth Uhealth SP - e19154 VL - 8 IS - 11 KW - eHealth KW - mHealth KW - tuberculosis KW - pediatric tuberculosis KW - adherence UR - https://mhealth.jmir.org/2020/11/e19154 UR - http://dx.doi.org/10.2196/19154 UR - http://www.ncbi.nlm.nih.gov/pubmed/33174850 ID - info:doi/10.2196/19154 ER - TY - JOUR AU - Bao, Huanyu AU - Cao, Bolin AU - Xiong, Yuan AU - Tang, Weiming PY - 2020/9/18 TI - Digital Media?s Role in the COVID-19 Pandemic JO - JMIR Mhealth Uhealth SP - e20156 VL - 8 IS - 9 KW - COVID-19 KW - digital health KW - media KW - pandemic KW - public health KW - social media KW - dissemination KW - health information KW - mobile health UR - https://mhealth.jmir.org/2020/9/e20156 UR - http://dx.doi.org/10.2196/20156 UR - http://www.ncbi.nlm.nih.gov/pubmed/32530817 ID - info:doi/10.2196/20156 ER - TY - JOUR AU - Nakamoto, Ichiro AU - Wang, Sheng AU - Guo, Yan AU - Zhuang, Weiqing PY - 2020/9/7 TI - A QR Code?Based Contact Tracing Framework for Sustainable Containment of COVID-19: Evaluation of an Approach to Assist the Return to Normal Activity JO - JMIR Mhealth Uhealth SP - e22321 VL - 8 IS - 9 KW - COVID-19 KW - coronavirus KW - symptom-based KW - quick response KW - eHealth KW - digital health KW - telesurveillance KW - pandemic KW - epidemic KW - interoperability UR - http://mhealth.jmir.org/2020/9/e22321/ UR - http://dx.doi.org/10.2196/22321 UR - http://www.ncbi.nlm.nih.gov/pubmed/32841151 ID - info:doi/10.2196/22321 ER - TY - JOUR AU - Yin, Zenong AU - Errisuriz, L. Vanessa AU - Evans, Martin AU - Inupakutika, Devasena AU - Kaghyan, Sahak AU - Li, Shiyu AU - Esparza, Laura AU - Akopian, David AU - Parra-Medina, Deborah PY - 2020/8/20 TI - A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development JO - JMIR Form Res SP - e20679 VL - 4 IS - 8 KW - mhealth KW - digital intervention KW - Latino families KW - rural population KW - weight KW - self-management KW - diet KW - lifestyle KW - chronic disease UR - http://formative.jmir.org/2020/8/e20679/ UR - http://dx.doi.org/10.2196/20679 UR - http://www.ncbi.nlm.nih.gov/pubmed/32726748 ID - info:doi/10.2196/20679 ER - TY - JOUR AU - Agarwal, Anish AU - Patel, Mitesh PY - 2020/8/4 TI - Prescribing Behavior Change: Opportunities and Challenges for Clinicians to Embrace Digital and Mobile Health JO - JMIR Mhealth Uhealth SP - e17281 VL - 8 IS - 8 KW - digital health KW - behavior change KW - mobile health KW - patient-centered data collection UR - https://mhealth.jmir.org/2020/8/e17281 UR - http://dx.doi.org/10.2196/17281 UR - http://www.ncbi.nlm.nih.gov/pubmed/32749997 ID - info:doi/10.2196/17281 ER - TY - JOUR AU - Keutzer, Lina AU - Simonsson, SH Ulrika PY - 2020/6/26 TI - Medical Device Apps: An Introduction to Regulatory Affairs for Developers JO - JMIR Mhealth Uhealth SP - e17567 VL - 8 IS - 6 KW - MDR KW - medical device regulation KW - medical devices, medical device software KW - mHealth KW - eHealth KW - mobile apps KW - smartphone apps UR - http://mhealth.jmir.org/2020/6/e17567/ UR - http://dx.doi.org/10.2196/17567 UR - http://www.ncbi.nlm.nih.gov/pubmed/32589154 ID - info:doi/10.2196/17567 ER - TY - JOUR AU - Seixas, Azizi AU - Connors, Colleen AU - Chung, Alicia AU - Donley, Tiffany AU - Jean-Louis, Girardin PY - 2020/6/24 TI - A Pantheoretical Framework to Optimize Adherence to Healthy Lifestyle Behaviors and Medication Adherence: The Use of Personalized Approaches to Overcome Barriers and Optimize Facilitators to Achieve Adherence JO - JMIR Mhealth Uhealth SP - e16429 VL - 8 IS - 6 KW - adherence KW - mHealth KW - management KW - chronic diseases KW - prevention KW - technology UR - https://mhealth.jmir.org/2020/6/e16429 UR - http://dx.doi.org/10.2196/16429 UR - http://www.ncbi.nlm.nih.gov/pubmed/32579121 ID - info:doi/10.2196/16429 ER - TY - JOUR AU - Cheng, Weibin AU - Hao, Chun PY - 2020/6/22 TI - Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications JO - JMIR Mhealth Uhealth SP - e20369 VL - 8 IS - 6 KW - COVID-19 KW - surveillance KW - contact tracing KW - digital contact tracing KW - notification KW - anonymous KW - labor-saving KW - stigma KW - privacy protection UR - http://mhealth.jmir.org/2020/6/e20369/ UR - http://dx.doi.org/10.2196/20369 UR - http://www.ncbi.nlm.nih.gov/pubmed/32501802 ID - info:doi/10.2196/20369 ER - TY - JOUR AU - Materia, T. Frank AU - Faasse, Kate AU - Smyth, M. Joshua PY - 2020/5/25 TI - Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies JO - JMIR Mhealth Uhealth SP - e14375 VL - 8 IS - 5 KW - mHealth KW - technology KW - nocebo effect KW - implementation science KW - medically unexplained symptoms UR - http://mhealth.jmir.org/2020/5/e14375/ UR - http://dx.doi.org/10.2196/14375 UR - http://www.ncbi.nlm.nih.gov/pubmed/32449688 ID - info:doi/10.2196/14375 ER - TY - JOUR AU - Knitza, Johannes AU - Knevel, Rachel AU - Raza, Karim AU - Bruce, Tor AU - Eimer, Ekaterina AU - Gehring, Isabel AU - Mathsson-Alm, Linda AU - Poorafshar, Maryam AU - Hueber, J. Axel AU - Schett, Georg AU - Johannesson, Martina AU - Catrina, Anca AU - Klareskog, Lars AU - PY - 2020/5/15 TI - Toward Earlier Diagnosis Using Combined eHealth Tools in Rheumatology: The Joint Pain Assessment Scoring Tool (JPAST) Project JO - JMIR Mhealth Uhealth SP - e17507 VL - 8 IS - 5 KW - rheumatology KW - eHealth KW - mHealth KW - symptom-checkers KW - apps UR - https://mhealth.jmir.org/2020/5/e17507 UR - http://dx.doi.org/10.2196/17507 UR - http://www.ncbi.nlm.nih.gov/pubmed/32348258 ID - info:doi/10.2196/17507 ER - TY - JOUR AU - Brewer, C. LaPrincess AU - Fortuna, L. Karen AU - Jones, Clarence AU - Walker, Robert AU - Hayes, N. Sharonne AU - Patten, A. Christi AU - Cooper, A. Lisa PY - 2020/1/14 TI - Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health JO - JMIR Mhealth Uhealth SP - e14512 VL - 8 IS - 1 KW - health informatics KW - digital health KW - mobile health KW - eHealth KW - community-based participatory research KW - health equity UR - https://mhealth.jmir.org/2020/1/e14512 UR - http://dx.doi.org/10.2196/14512 UR - http://www.ncbi.nlm.nih.gov/pubmed/31934874 ID - info:doi/10.2196/14512 ER - TY - JOUR AU - L'Hommedieu, Michelle AU - L'Hommedieu, Justin AU - Begay, Cynthia AU - Schenone, Alison AU - Dimitropoulou, Lida AU - Margolin, Gayla AU - Falk, Tiago AU - Ferrara, Emilio AU - Lerman, Kristina AU - Narayanan, Shrikanth PY - 2019/12/10 TI - Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization JO - JMIR Mhealth Uhealth SP - e13305 VL - 7 IS - 12 KW - research KW - research techniques KW - Ecological Momentary Assessment KW - wearable electronic devices UR - https://mhealth.jmir.org/2019/12/e13305 UR - http://dx.doi.org/10.2196/13305 UR - http://www.ncbi.nlm.nih.gov/pubmed/31821155 ID - info:doi/10.2196/13305 ER - TY - JOUR AU - Zawati, H. Ma'n AU - Lang, Michael PY - 2019/11/4 TI - Mind the App: Considerations for the Future of Mobile Health in Canada JO - JMIR Mhealth Uhealth SP - e15301 VL - 7 IS - 11 KW - smartphone KW - mobile phone KW - regulation KW - patients KW - physicians UR - https://mhealth.jmir.org/2019/11/e15301 UR - http://dx.doi.org/10.2196/15301 UR - http://www.ncbi.nlm.nih.gov/pubmed/31682580 ID - info:doi/10.2196/15301 ER - TY - JOUR AU - Katapally, Reddy Tarun PY - 2019/08/30 TI - The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age JO - JMIR Mhealth Uhealth SP - e14056 VL - 7 IS - 8 KW - community-based participatory research KW - smartphones KW - mobile phones KW - population health KW - mHealth KW - eHealth KW - digital health KW - big data KW - evidence-based framework KW - citizen science KW - participatory research KW - participatory surveillance KW - systems science KW - ubiquitous tools UR - http://mhealth.jmir.org/2019/8/e14056/ UR - http://dx.doi.org/10.2196/14056 UR - http://www.ncbi.nlm.nih.gov/pubmed/31471963 ID - info:doi/10.2196/14056 ER - TY - JOUR AU - Tobore, Igbe AU - Li, Jingzhen AU - Yuhang, Liu AU - Al-Handarish, Yousef AU - Kandwal, Abhishek AU - Nie, Zedong AU - Wang, Lei PY - 2019/08/02 TI - Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations JO - JMIR Mhealth Uhealth SP - e11966 VL - 7 IS - 8 KW - machine learning KW - deep learning KW - big data KW - mHealth KW - medical imaging KW - electronic health record KW - biologicals KW - biomedical KW - ECG KW - EEG KW - artificial intelligence UR - https://mhealth.jmir.org/2019/8/e11966/ UR - http://dx.doi.org/10.2196/11966 UR - http://www.ncbi.nlm.nih.gov/pubmed/31376272 ID - info:doi/10.2196/11966 ER - TY - JOUR AU - Lv, Qing AU - Jiang, Yutong AU - Qi, Jun AU - Zhang, Yanli AU - Zhang, Xi AU - Fang, Linkai AU - Tu, Liudan AU - Yang, Mingcan AU - Liao, Zetao AU - Zhao, Minjing AU - Guo, Xinghua AU - Qiu, Minli AU - Gu, Jieruo AU - Lin, Zhiming PY - 2019/06/03 TI - Using Mobile Apps for Health Management: A New Health Care Mode in China JO - JMIR Mhealth Uhealth SP - e10299 VL - 7 IS - 6 KW - mHealth KW - internet KW - health care KW - medical informatics N2 - Background: China has a large population; however, medical resources are unevenly distributed and extremely limited, and more medical services are needed. With the development and ever-increasing popularity of mobile internet communication, China has created a mode of mobile health (mHealth) care to resolve this problem. Objective: The aim of this study was (1) to describe the problems associated with China?s medical care practice, (2) explore the need for and the feasibility of internet-based medical care in China, and (3) analyze the functionality of and services offered by internet-based health care platforms for the management of chronic diseases. Methods: Data search was performed by searching national websites, the popular search engine Baidu, the App Store, and websites of internet medical care institutions, using search terms like ?mobile health,? ?Internet health,? ?mobile medical,? ?Internet medical,? ?digital medical,? ?digital health,? and ?online doctor.? A total of 6 mobile apps and websites with the biggest enrollment targeting doctors and end users with chronic diseases in China were selected. Results: We recognized the limitations of medical and health care providers and unequal distribution of medical resources in China. An mHealth care platform is a novel and efficient way for doctors and patients to follow up and manage chronic diseases. Services offered by these platforms include reservation and payment, medical consultation, medical education assessment, pharmaceutical and medical instruments sales, electronic medical records, and chronic disease management. China?s health policies are now strongly promoting the implementation of mHealth solutions, particularly in response to the increasing burden of chronic diseases and aging in the population. Conclusions: China's internet-based medical and health care mode can benefit the populace by providing people with high-quality medical resources. This can help other countries and regions with high population density and unevenly distributed medical resources manage their health care concerns. UR - https://mhealth.jmir.org/2019/6/e10299/ UR - http://dx.doi.org/10.2196/10299 UR - http://www.ncbi.nlm.nih.gov/pubmed/31162131 ID - info:doi/10.2196/10299 ER - TY - JOUR AU - Shah, M. Lochan AU - Yang, E. William AU - Demo, C. Ryan AU - Lee, A. Matthias AU - Weng, Daniel AU - Shan, Rongzi AU - Wongvibulsin, Shannon AU - Spaulding, M. Erin AU - Marvel, A. Francoise AU - Martin, S. Seth PY - 2019/05/15 TI - Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation JO - JMIR Mhealth Uhealth SP - e14124 VL - 7 IS - 5 KW - mHealth KW - cardiology KW - myocardial infarction KW - personalized medicine UR - http://mhealth.jmir.org/2019/5/e14124/ UR - http://dx.doi.org/10.2196/14124 UR - http://www.ncbi.nlm.nih.gov/pubmed/31094337 ID - info:doi/10.2196/14124 ER - TY - JOUR AU - Grekin, R. Emily AU - Beatty, R. Jessica AU - Ondersma, J. Steven PY - 2019/04/15 TI - Mobile Health Interventions: Exploring the Use of Common Relationship Factors JO - JMIR Mhealth Uhealth SP - e11245 VL - 7 IS - 4 KW - mobile health KW - mHealth KW - smartphone KW - empathy KW - mobile applications KW - therapeutic alliance UR - http://mhealth.jmir.org/2019/4/e11245/ UR - http://dx.doi.org/10.2196/11245 UR - http://www.ncbi.nlm.nih.gov/pubmed/30985281 ID - info:doi/10.2196/11245 ER - TY - JOUR AU - Jones, Helen Kerina AU - Daniels, Helen AU - Heys, Sharon AU - Ford, Vincent David PY - 2019/03/22 TI - Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research JO - JMIR Mhealth Uhealth SP - e11969 VL - 7 IS - 3 KW - mobile phone data KW - ethical framework UR - http://mhealth.jmir.org/2019/3/e11969/ UR - http://dx.doi.org/10.2196/11969 UR - http://www.ncbi.nlm.nih.gov/pubmed/30900996 ID - info:doi/10.2196/11969 ER - TY - JOUR AU - Larson, S. Richard PY - 2018/07/30 TI - A Path to Better-Quality mHealth Apps JO - JMIR Mhealth Uhealth SP - e10414 VL - 6 IS - 7 KW - mobile apps KW - smartphone KW - software validation KW - medical device legislation KW - United States Food and Drug Administration UR - http://mhealth.jmir.org/2018/7/e10414/ UR - http://dx.doi.org/10.2196/10414 UR - http://www.ncbi.nlm.nih.gov/pubmed/30061091 ID - info:doi/10.2196/10414 ER - TY - JOUR AU - Kotz, David AU - Lord, E. Sarah AU - O'Malley, James A. AU - Stark, Luke AU - Marsch, A. Lisa PY - 2018/06/20 TI - Workshop on Emerging Technology and Data Analytics for Behavioral Health JO - JMIR Res Protoc SP - e158 VL - 7 IS - 6 KW - behavioral health KW - mobile technology KW - wearable devices KW - data analytics KW - mHealth UR - http://www.researchprotocols.org/2018/6/e158/ UR - http://dx.doi.org/10.2196/resprot.9589 UR - http://www.ncbi.nlm.nih.gov/pubmed/29925493 ID - info:doi/10.2196/resprot.9589 ER - TY - JOUR AU - Düking, Peter AU - Fuss, Konstantin Franz AU - Holmberg, Hans-Christer AU - Sperlich, Billy PY - 2018/04/30 TI - Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity JO - JMIR Mhealth Uhealth SP - e102 VL - 6 IS - 4 KW - activity tracker KW - data mining KW - Internet of Things KW - load management KW - physical activity KW - smartwatch UR - http://mhealth.jmir.org/2018/4/e102/ UR - http://dx.doi.org/10.2196/mhealth.9341 UR - http://www.ncbi.nlm.nih.gov/pubmed/29712629 ID - info:doi/10.2196/mhealth.9341 ER - TY - JOUR AU - Jake-Schoffman, E. Danielle AU - Silfee, J. Valerie AU - Waring, E. Molly AU - Boudreaux, D. Edwin AU - Sadasivam, S. Rajani AU - Mullen, P. Sean AU - Carey, L. Jennifer AU - Hayes, B. Rashelle AU - Ding, Y. Eric AU - Bennett, G. Gary AU - Pagoto, L. Sherry PY - 2017/12/18 TI - Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps JO - JMIR Mhealth Uhealth SP - e190 VL - 5 IS - 12 KW - mHealth KW - mobile health KW - mobile applications KW - telemedicine/methods KW - treatment efficacy KW - behavioral medicine KW - chronic disease UR - http://mhealth.jmir.org/2017/12/e190/ UR - http://dx.doi.org/10.2196/mhealth.8758 UR - http://www.ncbi.nlm.nih.gov/pubmed/29254914 ID - info:doi/10.2196/mhealth.8758 ER - TY - JOUR AU - Unger, A. Jennifer AU - Kinuthia, John AU - John-Stewart, Grace PY - 2017/12/08 TI - Texting Condolences: Adapting mHealth Programs After Unexpected Pregnancy and Infant Outcomes JO - JMIR Mhealth Uhealth SP - e176 VL - 5 IS - 12 KW - mHealth KW - infant loss KW - miscarriage UR - http://mhealth.jmir.org/2017/12/e176/ UR - http://dx.doi.org/10.2196/mhealth.8303 UR - http://www.ncbi.nlm.nih.gov/pubmed/29222078 ID - info:doi/10.2196/mhealth.8303 ER - TY - JOUR AU - Pathanasethpong, Atipong AU - Soomlek, Chitsutha AU - Morley, Katharine AU - Morley, Michael AU - Polpinit, Pattarawit AU - Dagan, Alon AU - Weis, W. James AU - Celi, Anthony Leo PY - 2017/10/16 TI - Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand JO - JMIR Mhealth Uhealth SP - e155 VL - 5 IS - 10 KW - hackathon KW - mHealth KW - interdisciplinary collaboration UR - http://mhealth.jmir.org/2017/10/e155/ UR - http://dx.doi.org/10.2196/mhealth.8259 UR - http://www.ncbi.nlm.nih.gov/pubmed/29038098 ID - info:doi/10.2196/mhealth.8259 ER - TY - JOUR AU - Mehralizade, Aydan AU - Schor, Shayna AU - Coleman, M. Chad AU - Oppenheim, E. Claire AU - Denckla, A. Christy AU - Borba, PC Christina AU - Henderson, C. David AU - Wolff, James AU - Crane, Sarah AU - Nettles-Gomez, Pamela AU - Pal, Avik AU - Milanovic, Snezana PY - 2017/10/06 TI - Mobile Health Apps in OB-GYN-Embedded Psychiatric Care: Commentary JO - JMIR Mhealth Uhealth SP - e152 VL - 5 IS - 10 KW - mHealth KW - eHealth KW - embedded psychiatric clinic KW - postpartum depression KW - mental health KW - OB-GYN KW - global health KW - reproductive health UR - http://mhealth.jmir.org/2017/10/e152/ UR - http://dx.doi.org/10.2196/mhealth.7988 UR - http://www.ncbi.nlm.nih.gov/pubmed/28986335 ID - info:doi/10.2196/mhealth.7988 ER - TY - JOUR AU - Agarwal, Smisha AU - Lefevre, E. Amnesty AU - Labrique, B. Alain PY - 2017/10/06 TI - A Call to Digital Health Practitioners: New Guidelines Can Help Improve the Quality of Digital Health Evidence JO - JMIR Mhealth Uhealth SP - e136 VL - 5 IS - 10 KW - mHealth KW - checklist KW - reporting KW - digital health KW - publishing guidelines N2 - Background: Despite the rapid proliferation of health interventions that employ digital tools, the evidence on the effectiveness of such approaches remains insufficient and of variable quality. To address gaps in the comprehensiveness and quality of reporting on the effectiveness of digital programs, the mHealth Technical Evidence Review Group (mTERG), convened by the World Health Organization, proposed the mHealth Evidence Reporting and Assessment (mERA) checklist to address existing gaps in the comprehensiveness and quality of reporting on the effectiveness of digital health programs. Objective: We present an overview of the mERA checklist and encourage researchers working in the digital health space to use the mERA checklist for reporting their research. Methods: The development of the mERA checklist consisted of convening an expert group to recommend an appropriate approach, convening a global expert review panel for checklist development, and pilot-testing the checklist. Results: The mERA checklist consists of 16 core mHealth items that define what the mHealth intervention is (content), where it is being implemented (context), and how it was implemented (technical features). Additionally, a 29-item methodology checklist guides authors on reporting critical aspects of the research methodology employed in the study. We recommend that the core mERA checklist is used in conjunction with an appropriate study-design specific checklist. Conclusions: The mERA checklist aims to assist authors in reporting on digital health research, guide reviewers and policymakers in synthesizing evidence, and guide journal editors in assessing the completeness in reporting on digital health studies. An increase in transparent and rigorous reporting can help identify gaps in the conduct of research and understand the effects of digital health interventions as a field of inquiry. UR - https://mhealth.jmir.org/2017/10/e136/ UR - http://dx.doi.org/10.2196/mhealth.6640 UR - http://www.ncbi.nlm.nih.gov/pubmed/28986340 ID - info:doi/10.2196/mhealth.6640 ER - TY - JOUR AU - Nebeker, Camille AU - Murray, Kate AU - Holub, Christina AU - Haughton, Jessica AU - Arredondo, M. Elva PY - 2017/06/28 TI - Acceptance of Mobile Health in Communities Underrepresented in Biomedical Research: Barriers and Ethical Considerations for Scientists JO - JMIR Mhealth Uhealth SP - e87 VL - 5 IS - 6 KW - telemedicine KW - cultural diversity KW - ethics, research KW - ethics committees KW - research KW - privacy KW - informed consent N2 - Background: The rapid expansion of direct-to-consumer wearable fitness products (eg, Flex 2, Fitbit) and research-grade sensors (eg, SenseCam, Microsoft Research; activPAL, PAL Technologies) coincides with new opportunities for biomedical and behavioral researchers. Underserved communities report among the highest rates of chronic disease and could benefit from mobile technologies designed to facilitate awareness of health behaviors. However, new and nuanced ethical issues are introduced with new technologies, which are challenging both institutional review boards (IRBs) and researchers alike. Given the potential benefits of such technologies, ethical and regulatory concerns must be carefully considered. Objective: Our aim was to understand potential barriers to using wearable sensors among members of Latino, Somali and Native Hawaiian Pacific Islander (NHPI) communities. These ethnic groups report high rates of disparate health conditions and could benefit from wearable technologies that translate the connection between physical activity and desired health outcomes. Moreover, these groups are traditionally under-represented in biomedical research. Methods: We independently conducted formative research with individuals from southern California, who identified as Latino, Somali, or Native Hawaiian Pacific Islander (NHPI). Data collection methods included survey (NHPI), interview (Latino), and focus group (Somali) with analysis focusing on cross-cutting themes. Results: The results pointed to gaps in informed consent, challenges to data management (ie, participant privacy, data confidentiality, and data sharing conventions), social implications (ie, unwanted attention), and legal risks (ie, potential deportation). Conclusions: Results shed light on concerns that may escalate the digital divide. Recommendations include suggestions for researchers and IRBs to collaborate with a goal of developing meaningful and ethical practices that are responsive to diverse research participants who can benefit from technology-enabled research methods. Trial Registration: ClinicalTrials.gov NCT02505165; https://clinicaltrials.gov/ct2/show/NCT02505165 (Archived by WebCite at http://www.Webcitation.org/6r9ZSUgoT) UR - http://mhealth.jmir.org/2017/6/e87/ UR - http://dx.doi.org/10.2196/mhealth.6494 UR - http://www.ncbi.nlm.nih.gov/pubmed/28659258 ID - info:doi/10.2196/mhealth.6494 ER - TY - JOUR AU - Bradway, Meghan AU - Carrion, Carme AU - Vallespin, Bárbara AU - Saadatfard, Omid AU - Puigdomènech, Elisa AU - Espallargues, Mireia AU - Kotzeva, Anna PY - 2017/05/02 TI - mHealth Assessment: Conceptualization of a Global Framework JO - JMIR Mhealth Uhealth SP - e60 VL - 5 IS - 5 KW - mhealth KW - evaluation KW - assessment KW - checklist KW - framework N2 - Background: The mass availability and use of mobile health (mHealth) technologies offers the potential for these technologies to support or substitute medical advice. However, it is worrisome that most assessment initiatives are still not able to successfully evaluate all aspects of mHealth solutions. As a result, multiple strategies to assess mHealth solutions are being proposed by medical regulatory bodies and similar organizations. Objective: We aim to offer a collective description of a universally applicable description of mHealth assessment initiatives, given their current and, as we see it, potential impact. In doing so, we recommend a common foundation for the development or update of assessment initiatives by addressing the multistakeholder issues that mHealth technology adds to the traditional medical environment. Methods: Organized by the Mobile World Capital Barcelona Foundation, we represent a workgroup consisting of patient associations, developers, and health authority representatives, including medical practitioners, within Europe. Contributions from each group?s diverse competencies has allowed us to create an overview of the complex yet similar approaches to mHealth evaluation that are being developed today, including common gaps in concepts and perspectives. In response, we summarize commonalities of existing initiatives and exemplify additional characteristics that we believe will strengthen and unify these efforts. Results: As opposed to a universal standard or protocol in evaluating mHealth solutions, assessment frameworks should respect the needs and capacity of each medical system or country. Therefore, we expect that the medical system will specify the content, resources, and workflow of assessment protocols in order to ensure a sustainable plan for mHealth solutions within their respective countries. Conclusions: A common framework for all mHealth initiatives around the world will be useful in order to assess whatever mHealth solution is desirable in different areas, adapting it to the specifics of each context, to bridge the gap between health authorities, patients, and mHealth developers. We aim to foster a more trusting and collaborative environment to safeguard the well-being of patients and citizens while encouraging innovation of technology and policy. UR - http://mhealth.jmir.org/2017/5/e60/ UR - http://dx.doi.org/10.2196/mhealth.7291 UR - http://www.ncbi.nlm.nih.gov/pubmed/28465282 ID - info:doi/10.2196/mhealth.7291 ER - TY - JOUR AU - Davis, Latham Teaniese AU - DiClemente, Ralph AU - Prietula, Michael PY - 2016/08/10 TI - Taking mHealth Forward: Examining the Core Characteristics JO - JMIR Mhealth Uhealth SP - e97 VL - 4 IS - 3 KW - mobile health KW - eHealth KW - mHealth KW - health policy KW - health technology KW - text messaging KW - public health informatics KW - telehealth UR - http://mhealth.jmir.org/2016/3/e97/ UR - http://dx.doi.org/10.2196/mhealth.5659 UR - http://www.ncbi.nlm.nih.gov/pubmed/27511612 ID - info:doi/10.2196/mhealth.5659 ER - TY - JOUR AU - Carter, Adrian AU - Liddle, Jacki AU - Hall, Wayne AU - Chenery, Helen PY - 2015/10/16 TI - Mobile Phones in Research and Treatment: Ethical Guidelines and Future Directions JO - JMIR mHealth uHealth SP - e95 VL - 3 IS - 4 KW - ethics KW - informed consent KW - mHealth KW - mobile phones KW - Parkinson?s disease KW - privacy KW - regulation UR - http://mhealth.jmir.org/2015/4/e95/ UR - http://dx.doi.org/10.2196/mhealth.4538 UR - http://www.ncbi.nlm.nih.gov/pubmed/26474545 ID - info:doi/10.2196/mhealth.4538 ER - TY - JOUR AU - Vincent, James Christopher AU - Niezen, Gerrit AU - O'Kane, Ann Aisling AU - Stawarz, Katarzyna PY - 2015/06/03 TI - Can Standards and Regulations Keep Up With Health Technology? JO - JMIR mHealth uHealth SP - e64 VL - 3 IS - 2 KW - governmental regulations KW - health services KW - medical devices KW - mHealth KW - mobile phones KW - open source initiative KW - software KW - standards KW - technology UR - http://mhealth.jmir.org/2015/2/e64/ UR - http://dx.doi.org/10.2196/mhealth.3918 UR - http://www.ncbi.nlm.nih.gov/pubmed/26041730 ID - info:doi/10.2196/mhealth.3918 ER - TY - JOUR AU - Oreskovic, Michel Nicolas AU - Huang, T. Terry AU - Moon, Jon PY - 2015/06/02 TI - Integrating mHealth and Systems Science: A Combination Approach to Prevent and Treat Chronic Health Conditions JO - JMIR mHealth uHealth SP - e62 VL - 3 IS - 2 KW - mHealth KW - systems science KW - chronic health conditions KW - obesity KW - physical activity UR - http://mhealth.jmir.org/2015/2/e62/ UR - http://dx.doi.org/10.2196/mhealth.4150 UR - http://www.ncbi.nlm.nih.gov/pubmed/26036753 ID - info:doi/10.2196/mhealth.4150 ER -