@Article{info:doi/10.2196/58956,
author="Bakker, P. Jessie
and McClenahan, J. Samantha
and Fromy, Piper
and Turner, Simon
and Peterson, T. Barry
and Vandendriessche, Benjamin
and Goldsack, C. Jennifer",
title="A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies",
journal="J Med Internet Res",
year="2025",
month="Feb",
day="7",
volume="27",
pages="e58956",
keywords="digital health technologies",
keywords="analytical validation",
keywords="digital medicine",
keywords="reference measures",
keywords="fit-for-purpose digital clinical measures",
doi="10.2196/58956",
url="https://www.jmir.org/2025/1/e58956",
url="http://www.ncbi.nlm.nih.gov/pubmed/39918870"
}


@Article{info:doi/10.2196/57385,
author="Zhang, Lan
and Bullen, Christopher
and Chen, Jinsong",
title="Digital Health Innovations to Catalyze the Transition to Value-Based Health Care",
journal="JMIR Med Inform",
year="2025",
month="Jan",
day="20",
volume="13",
pages="e57385",
keywords="digital health",
keywords="value-based health care",
keywords="VBHC",
keywords="patient-reported outcome measures",
keywords="PROM",
keywords="digital transformation",
keywords="health care innovation",
keywords="patient-centric care",
keywords="health technology",
keywords="patient-reported outcome",
keywords="PRO",
keywords="outcome measure",
keywords="telehealth",
keywords="telemedicine",
keywords="eHealth",
keywords="personalized",
keywords="customized",
keywords="engagement",
keywords="patient-centered care",
keywords="standardization",
keywords="implementation",
doi="10.2196/57385",
url="https://medinform.jmir.org/2025/1/e57385"
}


@Article{info:doi/10.2196/57332,
author="Izumida, Yoshihiko
and Omura, Takashi
and Fujiwara, Masahiro
and Nukaya, Shoko
and Yoneyama, Akio
and Boubacar, Sow
and Yabe, Shinichiro
and Noguchi, Rika
and Nakayama, Shima
and Muraoka, Wataru
and Okuno, Yuki
and Miyashita, Sho
and Ishihara, Yurika
and Moriwaki, Yuto
and Otani, Ryoji
and Adachi, Junichiro
and Tanabe, Kenichiro
and Yamano, Yoshihisa
and Takai, Yasushi
and Honjo, Masaru",
title="Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan",
journal="Interact J Med Res",
year="2024",
month="Dec",
day="23",
volume="13",
pages="e57332",
keywords="Sync for Science-J",
keywords="S4S-J",
keywords="electronic medical record",
keywords="personal health record",
keywords="privacy preference manager",
keywords="patient-generated health data",
keywords="Health Level 7 Fast Health Care Interoperability Resources",
keywords="HL7-FHIR",
keywords="logical observation identifiers names and codes",
keywords="LOINC",
keywords="open science",
keywords="mobile health",
keywords="app",
keywords="digital health",
keywords="digital intervention",
doi="10.2196/57332",
url="https://www.i-jmr.org/2024/1/e57332"
}


@Article{info:doi/10.2196/59888,
author="Dobson, Rosie
and Whittaker, Robyn
and Abroms, C. Lorien
and Bramley, Dale
and Free, Caroline
and McRobbie, Hayden
and Stowell, Melanie
and Rodgers, Anthony",
title="Don't Forget the Humble Text Message: 25 Years of Text Messaging in Health",
journal="J Med Internet Res",
year="2024",
month="Dec",
day="17",
volume="26",
pages="e59888",
keywords="text messaging",
keywords="messaging",
keywords="SMS",
keywords="texting",
keywords="mHealth",
keywords="mobile health",
doi="10.2196/59888",
url="https://www.jmir.org/2024/1/e59888"
}


@Article{info:doi/10.2196/58035,
author="Bober, Timothy
and Rollman, L. Bruce
and Handler, Steven
and Watson, Andrew
and Nelson, A. Lyndsay
and Faieta, Julie
and Rosland, Ann-Marie",
title="Digital Health Readiness: Making Digital Health Care More Inclusive",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Oct",
day="9",
volume="12",
pages="e58035",
keywords="digital health",
keywords="digital health literacy",
keywords="informatics",
keywords="digital disparities",
keywords="digital health readiness",
keywords="inclusivity",
keywords="digital health tool",
keywords="literacy",
keywords="patient support",
keywords="health system",
doi="10.2196/58035",
url="https://mhealth.jmir.org/2024/1/e58035"
}


@Article{info:doi/10.2196/57158,
author="Hibbing, R. Paul
and Khan, Misal Maryam",
title="Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Sep",
day="27",
volume="12",
pages="e57158",
keywords="measurement",
keywords="optical sensors",
keywords="sensor fusion",
keywords="wearable electronic devices",
keywords="accelerometry",
keywords="photoplethysmography",
keywords="digital health",
keywords="exercise",
keywords="sedentary behavior",
doi="10.2196/57158",
url="https://mhealth.jmir.org/2024/1/e57158",
url="http://www.ncbi.nlm.nih.gov/pubmed/39331461"
}


@Article{info:doi/10.2196/49719,
author="Velmovitsky, Elkind Pedro
and Kirolos, Merna
and Alencar, Paulo
and Leatherdale, Scott
and Cowan, Donald
and Morita, Pelegrini Plinio",
title="Leveraging mHealth Technologies for Public Health",
journal="JMIR Public Health Surveill",
year="2024",
month="Sep",
day="12",
volume="10",
pages="e49719",
keywords="mobile health",
keywords="mHealth",
keywords="smart technology",
keywords="wearables",
keywords="public health",
keywords="population health",
keywords="apps",
keywords="surveys",
keywords="self-report",
keywords="surveillance",
keywords="digital public health",
keywords="mobile phone",
doi="10.2196/49719",
url="https://publichealth.jmir.org/2024/1/e49719",
url="http://www.ncbi.nlm.nih.gov/pubmed/39265164"
}


@Article{info:doi/10.2196/50043,
author="Pulantara, Wayan I.
and Wang, Yuhan
and Burke, E. Lora
and Sereika, M. Susan
and Bizhanova, Zhadyra
and Kariuki, K. Jacob
and Cheng, Jessica
and Beatrice, Britney
and Loar, India
and Cedillo, Maribel
and Conroy, B. Molly
and Parmanto, Bambang",
title="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",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Aug",
day="7",
volume="12",
pages="e50043",
keywords="integrated system",
keywords="IoT integration",
keywords="wearable",
keywords="mHealth Fitbit",
keywords="Nokia",
keywords="clinical trial management",
keywords="research study management",
keywords="study tracking",
keywords="remote assessment",
keywords="tracking",
keywords="Fitbit",
keywords="wearable devices",
keywords="device",
keywords="management",
keywords="data analysis",
keywords="behavioral",
keywords="data collection",
keywords="Internet of Things",
keywords="IoT",
keywords="mHealth",
keywords="mobile health",
doi="10.2196/50043",
url="https://mhealth.jmir.org/2024/1/e50043"
}


@Article{info:doi/10.2196/51974,
author="Monachelli, Rebecca
and Davis, Watkins Sharon
and Barnard, Allison
and Longmire, Michelle
and Docherty, P. John
and Oakley-Girvan, Ingrid",
title="Designing mHealth Apps to Incorporate Evidence-Based Techniques for Prolonging User Engagement",
journal="Interact J Med Res",
year="2024",
month="Mar",
day="26",
volume="13",
pages="e51974",
keywords="adherence",
keywords="app design",
keywords="attrition",
keywords="mHealth",
keywords="user engagement",
keywords="user experience",
keywords="proof-of-concept",
doi="10.2196/51974",
url="https://www.i-jmr.org/2024/1/e51974",
url="http://www.ncbi.nlm.nih.gov/pubmed/38416858"
}


@Article{info:doi/10.2196/44422,
author="Cheng, Weibin
and Cao, Xiaowen
and Lian, Wanmin
and Tian, Junzhang",
title="An Introduction to Smart Home Ward--Based Hospital-at-Home Care in China",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Jan",
day="30",
volume="12",
pages="e44422",
keywords="smart home ward",
keywords="telemonitoring",
keywords="telemedicine",
keywords="home care",
keywords="hospital at home",
keywords="healthcare delivery",
keywords="implementation",
keywords="smart ward",
keywords="medical monitoring",
keywords="medical care",
keywords="rehabilitation",
keywords="health care",
doi="10.2196/44422",
url="https://mhealth.jmir.org/2024/1/e44422"
}


@Article{info:doi/10.2196/48803,
author="Hong, Wonki",
title="Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Jan",
day="22",
volume="12",
pages="e48803",
keywords="mobile health",
keywords="mHealth",
keywords="smartphonization",
keywords="wearable deviceization",
keywords="new form factor",
keywords="sensor-integrated display",
doi="10.2196/48803",
url="https://mhealth.jmir.org/2024/1/e48803"
}


@Article{info:doi/10.2196/47177,
author="Gunsilius, Zimmerman Chloe
and Heffner, Joseph
and Bruinsma, Sienna
and Corinha, Madison
and Cortinez, Maria
and Dalton, Hadley
and Duong, Ellen
and Lu, Joshua
and Omar, Aisulu
and Owen, Whittington Lucy Long
and Roarr, Nazario Bradford
and Tang, Kevin
and Petzschner, H. Frederike",
title="SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment",
journal="JMIR Mhealth Uhealth",
year="2024",
month="Jan",
day="12",
volume="12",
pages="e47177",
keywords="acute pain",
keywords="acute-chronic pain transition",
keywords="chronic pain",
keywords="clinical outcome measurement",
keywords="digital health",
keywords="ecological momentary assessment",
keywords="EMA",
keywords="ESM",
keywords="experience sampling methodology",
keywords="mHealth",
keywords="mobile health",
keywords="pain management",
keywords="pain self-management",
keywords="patient reported outcomes",
keywords="smartphone app",
doi="10.2196/47177",
url="https://mhealth.jmir.org/2024/1/e47177",
url="http://www.ncbi.nlm.nih.gov/pubmed/38214952"
}


@Article{info:doi/10.2196/49301,
author="Schwab, D. Julian
and Werle, D. Silke
and H{\"u}hne, Rolf
and Spohn, Hannah
and Kaisers, X. Udo
and Kestler, A. Hans",
title="The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices",
journal="JMIR Med Inform",
year="2023",
month="Dec",
day="22",
volume="11",
pages="e49301",
keywords="semantic terminology",
keywords="semantic",
keywords="terminology",
keywords="terminologies",
keywords="data linkage",
keywords="interoperability",
keywords="data exchange",
keywords="SNOMED CT",
keywords="LOINC",
keywords="eHealth",
keywords="patient-reported outcome questionnaires",
keywords="requirement for standards",
keywords="standard",
keywords="standards",
keywords="PRO",
keywords="PROM",
keywords="patient reported",
doi="10.2196/49301",
url="https://medinform.jmir.org/2023/1/e49301",
url="http://www.ncbi.nlm.nih.gov/pubmed/38133917"
}


@Article{info:doi/10.2196/44265,
author="Nourse, Rebecca
and Dingler, Tilman
and Kelly, Jaimon
and Kwasnicka, Dominika
and Maddison, Ralph",
title="The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions",
journal="J Med Internet Res",
year="2023",
month="Dec",
day="18",
volume="25",
pages="e44265",
keywords="smart home",
keywords="health",
keywords="chronic condition",
keywords="chronic illness",
keywords="digital health",
keywords="technology",
keywords="behavior change",
keywords="wearable",
keywords="smart technology",
keywords="smart health",
keywords="economic",
keywords="cost",
keywords="security",
keywords="data storage",
keywords="implementation",
doi="10.2196/44265",
url="https://www.jmir.org/2023/1/e44265",
url="http://www.ncbi.nlm.nih.gov/pubmed/38109188"
}


@Article{info:doi/10.2196/49560,
author="Masel, Joanna
and Petrie, Mackie James Ian
and Bay, Jason
and Ebbers, Wolfgang
and Sharan, Aalekh
and Leibrand, Michael Scott
and Gebhard, Andreas
and Zimmerman, Samuel",
title="Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure",
journal="JMIR Public Health Surveill",
year="2023",
month="Dec",
day="4",
volume="9",
pages="e49560",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="pandemic preparedness",
keywords="decentralized protocols",
keywords="smartphone",
keywords="mobile phone",
keywords="contact tracing",
doi="10.2196/49560",
url="https://publichealth.jmir.org/2023/1/e49560",
url="http://www.ncbi.nlm.nih.gov/pubmed/38048155"
}


@Article{info:doi/10.2196/45103,
author="Lederer, Lauren
and Breton, Amanda
and Jeong, Hayoung
and Master, Hiral
and Roghanizad, R. Ali
and Dunn, Jessilyn",
title="The Importance of Data Quality Control in Using Fitbit Device Data From the All of Us Research Program",
journal="JMIR Mhealth Uhealth",
year="2023",
month="Nov",
day="3",
volume="11",
pages="e45103",
keywords="wearable device",
keywords="Fitbit",
keywords="All of Us",
keywords="data quality",
keywords="noise",
keywords="missingness",
keywords="biometric monitoring",
doi="10.2196/45103",
url="https://mhealth.jmir.org/2023/1/e45103"
}


@Article{info:doi/10.2196/46654,
author="Fareed, Naleef
and Swoboda, Christine
and Wang, Yiting
and Strouse, Robert
and Hoseus, Jenelle
and Baker, Carrie
and Joseph, J. Joshua
and Venkatesh, Kartik",
title="An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions---Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes",
journal="JMIR Diabetes",
year="2023",
month="Oct",
day="12",
volume="8",
pages="e46654",
keywords="personalization",
keywords="mobile health",
keywords="mHealth",
keywords="pregnancy",
keywords="pregnant",
keywords="maternal",
keywords="personalized",
keywords="diabetic",
keywords="algorithm",
keywords="diabetes",
keywords="rule-based algorithms",
keywords="social determinants of health",
keywords="inclusive",
keywords="inclusivity",
keywords="design",
doi="10.2196/46654",
url="https://diabetes.jmir.org/2023/1/e46654",
url="http://www.ncbi.nlm.nih.gov/pubmed/37824196"
}


@Article{info:doi/10.2196/45409,
author="Eustis, H. Elizabeth
and LoPresti, Jessica
and Aguilera, Adrian
and Schueller, M. Stephen",
title="Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components",
journal="J Med Internet Res",
year="2023",
month="Oct",
day="3",
volume="25",
pages="e45409",
keywords="technology",
keywords="mobile health",
keywords="mHealth",
keywords="mental health",
keywords="cultural responsivity",
keywords="human support",
keywords="mobile phone",
doi="10.2196/45409",
url="https://www.jmir.org/2023/1/e45409",
url="http://www.ncbi.nlm.nih.gov/pubmed/37788050"
}


@Article{info:doi/10.2196/47486,
author="Khanna, Amit
and Jones, Graham",
title="Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies",
journal="JMIR Form Res",
year="2023",
month="Sep",
day="27",
volume="7",
pages="e47486",
keywords="digital health",
keywords="monitoring",
keywords="personalized medicine",
keywords="Parkinson disease",
keywords="wearables",
keywords="neurodegenerative disorder",
keywords="cognitive impairment",
keywords="economic burden",
keywords="digital technology",
keywords="symptom management",
keywords="disease control",
keywords="debilitating disease",
keywords="intervention",
doi="10.2196/47486",
url="https://formative.jmir.org/2023/1/e47486",
url="http://www.ncbi.nlm.nih.gov/pubmed/37756050"
}


@Article{info:doi/10.2196/50991,
author="Choi, Soyoung",
title="Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing",
journal="JMIR Nursing",
year="2023",
month="Sep",
day="20",
volume="6",
pages="e50991",
keywords="personal health data",
keywords="personal informatics",
keywords="self-care",
keywords="self-tracking",
keywords="mobile health technology",
keywords="human-technology",
keywords="human-computer",
keywords="human computer interaction",
keywords="health tracking",
keywords="framework",
keywords="frameworks",
keywords="model",
keywords="models",
keywords="mHealth",
keywords="mobile health",
keywords="informatics",
doi="10.2196/50991",
url="https://nursing.jmir.org/2023/1/e50991",
url="http://www.ncbi.nlm.nih.gov/pubmed/37728970"
}


@Article{info:doi/10.2196/45694,
author="An, Qingfan
and Kelley, M. Marjorie
and Hanners, Audra
and Yen, Po-Yin",
title="Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process",
journal="JMIR Form Res",
year="2023",
month="Aug",
day="25",
volume="7",
pages="e45694",
keywords="mHealth",
keywords="mobile health",
keywords="apps",
keywords="human-centered design",
keywords="sociotechnical",
keywords="sustainability",
keywords="mobile technology",
keywords="speculative design",
keywords="mobile phone",
doi="10.2196/45694",
url="https://formative.jmir.org/2023/1/e45694",
url="http://www.ncbi.nlm.nih.gov/pubmed/37624639"
}


@Article{info:doi/10.2196/41345,
author="Kanning, Martina
and Yi, Li
and Yang, Chih-Hsiang
and Niermann, Christina
and Fina, Stefan",
title="Mental Health in Urban Environments: Uncovering the Black Box of Person-Place Interactions Requires Interdisciplinary Approaches",
journal="JMIR Mhealth Uhealth",
year="2023",
month="May",
day="11",
volume="11",
pages="e41345",
keywords="physical activity",
keywords="urban health",
keywords="ambulatory assessment",
keywords="environment",
keywords="mental health",
keywords="real-time data",
keywords="within-subject association",
doi="10.2196/41345",
url="https://mhealth.jmir.org/2023/1/e41345",
url="http://www.ncbi.nlm.nih.gov/pubmed/37166963"
}


@Article{info:doi/10.2196/41153,
author="Diaz, Claudio
and Caillaud, Corinne
and Yacef, Kalina",
title="Mining Sensor Data to Assess Changes in Physical Activity Behaviors in Health Interventions: Systematic Review",
journal="JMIR Med Inform",
year="2023",
month="Mar",
day="6",
volume="11",
pages="e41153",
keywords="activity tracker",
keywords="wearable electronic devices",
keywords="fitness trackers",
keywords="data mining",
keywords="artificial intelligence",
keywords="health",
keywords="education",
keywords="behavior change",
keywords="physical activity",
keywords="wearable devices",
keywords="trackers",
keywords="health education",
keywords="sensor data",
abstract="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. ",
doi="10.2196/41153",
url="https://medinform.jmir.org/2023/1/e41153",
url="http://www.ncbi.nlm.nih.gov/pubmed/36877559"
}


@Article{info:doi/10.2196/42449,
author="Dixon, G. William
and van der Veer, N. Sabine
and Ali, Mustafa Syed
and Laidlaw, Lynn
and Dobson, B. Richard J.
and Sudlow, Cathie
and Chico, Tim
and MacArthur, L. Jacqueline A.
and Doherty, Aiden",
title="Charting a Course for Smartphones and Wearables to Transform Population Health Research",
journal="J Med Internet Res",
year="2023",
month="Feb",
day="7",
volume="25",
pages="e42449",
keywords="mHealth",
keywords="wearable",
keywords="person-generated health data",
keywords="population health research",
keywords="devices",
keywords="research",
keywords="health",
keywords="data",
keywords="mobile health",
keywords="clinical",
keywords="digital",
doi="10.2196/42449",
url="https://www.jmir.org/2023/1/e42449",
url="http://www.ncbi.nlm.nih.gov/pubmed/36749628"
}


@Article{info:doi/10.2196/38614,
author="Lee, Peter
and Kim, Heepyung
and Kim, Yongshin
and Choi, Woohyeok
and Zitouni, Sami M.
and Khandoker, Ahsan
and Jelinek, F. Herbert
and Hadjileontiadis, Leontios
and Lee, Uichin
and Jeong, Yong",
title="Beyond Pathogen Filtration: Possibility of Smart Masks as Wearable Devices for Personal and Group Health and Safety Management",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Jun",
day="21",
volume="10",
number="6",
pages="e38614",
keywords="smart mask",
keywords="pathogen filtration",
keywords="COVID-19",
keywords="protective equipment",
keywords="digital health",
keywords="wearable",
keywords="smart device",
keywords="wearable device",
keywords="sensor",
keywords="health monitoring",
doi="10.2196/38614",
url="https://mhealth.jmir.org/2022/6/e38614",
url="http://www.ncbi.nlm.nih.gov/pubmed/35679029"
}


@Article{info:doi/10.2196/31069,
author="Merid, Beza
and Robles, Cielito Maria
and Nallamothu, K. Brahmajee
and Newman, W. Mark
and Skolarus, E. Lesli",
title="Viewing Mobile Health Technology Design Through the Lens of Amplification Theory",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Jun",
day="10",
volume="10",
number="6",
pages="e31069",
keywords="mHealth",
keywords="digital health",
keywords="cardiovascular disease",
keywords="high blood pressure",
keywords="structural barriers to health",
keywords="racial health disparities",
keywords="Amplification Theory of Technology",
doi="10.2196/31069",
url="https://mhealth.jmir.org/2022/6/e31069",
url="http://www.ncbi.nlm.nih.gov/pubmed/35687411"
}


@Article{info:doi/10.2196/25116,
author="Forchuk, Cheryl
and Serrato, Jonathan
and Lizotte, Daniel
and Mann, Rupinder
and Taylor, Gavin
and Husni, Sara",
title="Developing a Smart Home Technology Innovation for People With Physical and Mental Health Problems: Considerations and Recommendations",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="29",
volume="10",
number="4",
pages="e25116",
keywords="smart home",
keywords="smart technology",
keywords="mental health",
keywords="physical health, eHealth",
keywords="comorbidity",
keywords="innovation",
keywords="communication",
keywords="connection",
keywords="uHealth",
keywords="ubiquitous health",
keywords="digital health",
doi="10.2196/25116",
url="https://mhealth.jmir.org/2022/4/e25116",
url="http://www.ncbi.nlm.nih.gov/pubmed/35486422"
}


@Article{info:doi/10.2196/36762,
author="Adamowicz, Lukas
and Christakis, Yiorgos
and Czech, D. Matthew
and Adamusiak, Tomasz",
title="SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="21",
volume="10",
number="4",
pages="e36762",
keywords="wearable sensors",
keywords="digital medicine",
keywords="gait analysis",
keywords="human movement analysis",
keywords="digital biomarkers",
keywords="uHealth",
keywords="wearable",
keywords="sensor",
keywords="gait",
keywords="movement",
keywords="mobility",
keywords="physical activity",
keywords="sleep",
keywords="Python",
keywords="coding",
keywords="open source",
keywords="software package",
keywords="algorithm",
keywords="machine learning",
keywords="data science",
keywords="computer programming",
doi="10.2196/36762",
url="https://mhealth.jmir.org/2022/4/e36762",
url="http://www.ncbi.nlm.nih.gov/pubmed/35353039"
}


@Article{info:doi/10.2196/34483,
author="Mann, M. Devin
and Lawrence, Katharine",
title="Reimagining Connected Care in the Era of Digital Medicine",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="15",
volume="10",
number="4",
pages="e34483",
keywords="health information technology",
keywords="telehealth",
keywords="remote patient monitoring",
keywords="mobile health",
keywords="mHealth",
keywords="eHealth",
keywords="digital health",
keywords="innovation",
keywords="process model",
keywords="information technology",
keywords="digital medicine",
keywords="automation",
doi="10.2196/34483",
url="https://mhealth.jmir.org/2022/4/e34483",
url="http://www.ncbi.nlm.nih.gov/pubmed/35436238"
}


@Article{info:doi/10.2196/32696,
author="Hamberger, Marietta
and Ikonomi, Nensi
and Schwab, D. Julian
and Werle, D. Silke
and F{\"u}rstberger, Axel
and Kestler, MR Angelika
and Holderried, Martin
and Kaisers, X. Udo
and Steger, Florian
and Kestler, A. Hans",
title="Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="13",
volume="10",
number="4",
pages="e32696",
keywords="mHealth",
keywords="mobile apps",
keywords="patient empowerment",
keywords="digital health",
keywords="interaction empowerment",
keywords="patient-doctor relationship",
keywords="health care network",
keywords="intersectoral communication",
doi="10.2196/32696",
url="https://mhealth.jmir.org/2022/4/e32696",
url="http://www.ncbi.nlm.nih.gov/pubmed/35416786"
}


@Article{info:doi/10.2196/29510,
author="Cho, Jaeho Peter
and Yi, Jaehan
and Ho, Ethan
and Shandhi, Hasan Md Mobashir
and Dinh, Yen
and Patil, Aneesh
and Martin, Leatrice
and Singh, Geetika
and Bent, Brinnae
and Ginsburg, Geoffrey
and Smuck, Matthew
and Woods, Christopher
and Shaw, Ryan
and Dunn, Jessilyn",
title="Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="8",
volume="10",
number="4",
pages="e29510",
keywords="bring your own device",
keywords="wearable device",
keywords="mHealth",
doi="10.2196/29510",
url="https://mhealth.jmir.org/2022/4/e29510",
url="http://www.ncbi.nlm.nih.gov/pubmed/34913871"
}


@Article{info:doi/10.2196/35600,
author="Fonseka, N. Lakshan
and Woo, P. Benjamin K.",
title="Wearables in Schizophrenia: Update on Current and Future Clinical Applications",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="7",
volume="10",
number="4",
pages="e35600",
keywords="wearables",
keywords="smartwatch",
keywords="schizophrenia",
keywords="digital phenotype",
keywords="wearable",
keywords="mHealth",
keywords="mobile health",
keywords="review",
keywords="clinical application",
keywords="clinical utility",
keywords="clinical use",
keywords="literature search",
keywords="diagnosis",
keywords="prevention",
doi="10.2196/35600",
url="https://mhealth.jmir.org/2022/4/e35600",
url="http://www.ncbi.nlm.nih.gov/pubmed/35389361"
}


@Article{info:doi/10.2196/32244,
author="Chettri, Shibani
and Wang, Vivian
and Balkin, Asher Eli
and Rayo, F. Michael
and Lee, N. Clara",
title="Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="1",
volume="10",
number="4",
pages="e32244",
keywords="mHealth",
keywords="mobile app",
keywords="patient-collected data",
keywords="data security",
keywords="mobile health",
keywords="patient data",
keywords="clinical research",
keywords="research facilities",
doi="10.2196/32244",
url="https://mhealth.jmir.org/2022/4/e32244",
url="http://www.ncbi.nlm.nih.gov/pubmed/35363154"
}


@Article{info:doi/10.2196/30872,
author="Idris, Yassin Muhammed
and Korin, Maya
and Araya, Faven
and Chowdhury, Sayeeda
and Medina, Patty
and Cruz, Larissa
and Hawkins, Trey-Rashad
and Brown, Humberto
and Claudio, Luz",
title="Including the Public in Public eHealth: The Need for Community Participation in the Development of State-Sponsored COVID-19--Related Mobile Apps",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Mar",
day="9",
volume="10",
number="3",
pages="e30872",
keywords="mobile apps",
keywords="COVID-19",
keywords="CBPR",
keywords="digital health",
keywords="eHealth",
keywords="community health",
keywords="health disparities",
doi="10.2196/30872",
url="https://mhealth.jmir.org/2022/3/e30872",
url="http://www.ncbi.nlm.nih.gov/pubmed/35113793"
}


@Article{info:doi/10.2196/28686,
author="Sunshine, Jacob",
title="Smart Speakers: The Next Frontier in mHealth",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Feb",
day="21",
volume="10",
number="2",
pages="e28686",
keywords="digital health",
keywords="mobile health",
keywords="machine learning",
keywords="smart speaker",
keywords="smartphone",
doi="10.2196/28686",
url="https://mhealth.jmir.org/2022/2/e28686",
url="http://www.ncbi.nlm.nih.gov/pubmed/35188467"
}


@Article{info:doi/10.2196/31048,
author="Zeng, Billy
and Bove, Riley
and Carini, Simona
and Lee, Shing-Jih Jonathan
and Pollak, JP
and Schleimer, Erica
and Sim, Ida",
title="Standardized Integration of Person-Generated Data Into Routine Clinical Care",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Feb",
day="10",
volume="10",
number="2",
pages="e31048",
keywords="mobile health",
keywords="data sharing",
keywords="health care",
keywords="patient-generated health data",
keywords="telemedicine",
doi="10.2196/31048",
url="https://mhealth.jmir.org/2022/2/e31048",
url="http://www.ncbi.nlm.nih.gov/pubmed/35142627"
}


@Article{info:doi/10.2196/20638,
author="MacLeod, Lucy
and Suruliraj, Banuchitra
and Gall, Dominik
and Bessenyei, Kitti
and Hamm, Sara
and Romkey, Isaac
and Bagnell, Alexa
and Mattheisen, Manuel
and Muthukumaraswamy, Viswanath
and Orji, Rita
and Meier, Sandra",
title="A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Oct",
day="26",
volume="9",
number="10",
pages="e20638",
keywords="mobile sensing",
keywords="youth",
keywords="psychiatry",
keywords="feasibility",
keywords="mobile phone",
abstract="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. ",
doi="10.2196/20638",
url="https://mhealth.jmir.org/2021/10/e20638",
url="http://www.ncbi.nlm.nih.gov/pubmed/34698650"
}


@Article{info:doi/10.2196/23425,
author="Ksi??czyk, Marcin
and D?bska-Koz?owska, Agnieszka
and Warcho?, Izabela
and Lubi?ski, Andrzej",
title="Enhancing Healthcare Access--Smartphone Apps in Arrhythmia Screening: Viewpoint",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Aug",
day="27",
volume="9",
number="8",
pages="e23425",
keywords="arrhythmia screening",
keywords="atrial fibrillation",
keywords="mobile electrocardiography",
keywords="mobile health",
keywords="phonocardiography",
keywords="photoplethysmography",
keywords="seismocardiography",
keywords="stroke prevention",
doi="10.2196/23425",
url="https://mhealth.jmir.org/2021/8/e23425",
url="http://www.ncbi.nlm.nih.gov/pubmed/34448723"
}


@Article{info:doi/10.2196/25425,
author="Mackert, Michael
and Mandell, Dorothy
and Donovan, Erin
and Walker, Lorraine
and Henson-Garc{\'i}a, Mike
and Bouchacourt, Lindsay",
title="Mobile Apps as Audience-Centered Health Communication Platforms",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Aug",
day="17",
volume="9",
number="8",
pages="e25425",
keywords="health communication",
keywords="mHealth",
keywords="mobile apps",
keywords="mobile health",
keywords="prenatal health",
keywords="pregnancy",
keywords="audience-centered",
doi="10.2196/25425",
url="https://mhealth.jmir.org/2021/8/e25425",
url="http://www.ncbi.nlm.nih.gov/pubmed/34402797"
}


@Article{info:doi/10.2196/28664,
author="Fonseka, N. Lakshan
and Woo, KP Benjamin",
title="Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Jul",
day="15",
volume="9",
number="7",
pages="e28664",
keywords="consumer",
keywords="wearables",
keywords="smartwatch",
keywords="cancer",
keywords="oncology",
keywords="chemotherapy",
keywords="apps",
doi="10.2196/28664",
url="https://mhealth.jmir.org/2021/7/e28664",
url="http://www.ncbi.nlm.nih.gov/pubmed/34264191"
}


@Article{info:doi/10.2196/25021,
author="Willems, H. Sofie
and Rao, Jyotsna
and Bhambere, Sailee
and Patel, Dipu
and Biggins, Yvonne
and Guite, W. Jessica",
title="Digital Solutions to Alleviate the Burden on Health Systems During a Public Health Care Crisis: COVID-19 as an Opportunity",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Jun",
day="11",
volume="9",
number="6",
pages="e25021",
keywords="coronavirus",
keywords="digital health",
keywords="multiplatform",
keywords="chat",
keywords="symptom tracking",
keywords="well-being",
keywords="COVID-19",
keywords="online platform",
keywords="symptom",
keywords="monitoring",
keywords="follow-up",
doi="10.2196/25021",
url="https://mhealth.jmir.org/2021/6/e25021",
url="http://www.ncbi.nlm.nih.gov/pubmed/34033575"
}


@Article{info:doi/10.2196/25937,
author="Krzesinski, Pawel
and Sobotnicki, Aleksander
and Gacek, Adam
and Siebert, Janusz
and Walczak, Andrzej
and Murawski, Piotr
and Gielerak, Grzegorz",
title="Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart Failure",
journal="JMIR Mhealth Uhealth",
year="2021",
month="May",
day="5",
volume="9",
number="5",
pages="e25937",
keywords="heart failure",
keywords="impedance cardiography",
keywords="remote monitoring",
keywords="overhydration",
keywords="hemodynamics",
keywords="heart",
keywords="cardiac function",
keywords="cardiac",
keywords="monitor",
doi="10.2196/25937",
url="https://mhealth.jmir.org/2021/5/e25937",
url="http://www.ncbi.nlm.nih.gov/pubmed/33949964"
}


@Article{info:doi/10.2196/25496,
author="Kumar, Ravindra
and Das, Aparup",
title="The Potential of mHealth as a Game Changer for the Management of Sickle Cell Disease in India",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Apr",
day="13",
volume="9",
number="4",
pages="e25496",
keywords="sickle cell disease",
keywords="drug adherence",
keywords="mHealth",
keywords="India",
doi="10.2196/25496",
url="https://mhealth.jmir.org/2021/4/e25496",
url="http://www.ncbi.nlm.nih.gov/pubmed/33847598"
}


@Article{info:doi/10.2196/25406,
author="Rafiei, Ramin
and Williams, Chelsea
and Jiang, Jeannette
and Aungst, Dy Timothy
and Durrer, Matthias
and Tran, Dao
and Howald, Ralph",
title="Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Mar",
day="18",
volume="9",
number="3",
pages="e25406",
keywords="digital health",
keywords="artificial intelligence",
keywords="drug delivery",
keywords="biopharma",
keywords="autoinjector",
keywords="injectable devices",
keywords="disease management",
keywords="autoimmune",
keywords="oncology",
keywords="rare diseases",
doi="10.2196/25406",
url="https://mhealth.jmir.org/2021/3/e25406",
url="http://www.ncbi.nlm.nih.gov/pubmed/33621188"
}


@Article{info:doi/10.2196/25289,
author="Balbim, M. Guilherme
and Marques, G. Isabela
and Marquez, X. David
and Patel, Darshilmukesh
and Sharp, K. Lisa
and Kitsiou, Spyros
and Nyenhuis, M. Sharmilee",
title="Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Mar",
day="1",
volume="9",
number="3",
pages="e25289",
keywords="physical activity",
keywords="fitness trackers",
keywords="Fitbit",
keywords="smartphones",
keywords="interventional studies",
keywords="adults",
keywords="older adults",
keywords="wearable",
keywords="intervention",
doi="10.2196/25289",
url="https://mhealth.jmir.org/2021/3/e25289",
url="http://www.ncbi.nlm.nih.gov/pubmed/33646135"
}


@Article{info:doi/10.2196/20630,
author="Pach, Daniel
and Rogge, A. Aliz{\'e}
and Wang, Jiani
and Witt, M. Claudia",
title="Five Lessons Learned From Randomized Controlled Trials on Mobile Health Interventions: Consensus Procedure on Practical Recommendations for Sustainable Research",
journal="JMIR Mhealth Uhealth",
year="2021",
month="Feb",
day="8",
volume="9",
number="2",
pages="e20630",
keywords="mHealth",
keywords="mobile apps",
keywords="pain",
keywords="behavior change techniques (BCTs)",
keywords="recommendations",
abstract="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. ",
doi="10.2196/20630",
url="https://mhealth.jmir.org/2021/2/e20630",
url="http://www.ncbi.nlm.nih.gov/pubmed/33555263"
}


@Article{info:doi/10.2196/21895,
author="D'Alfonso, Simon
and Lederman, Reeva
and Bucci, Sandra
and Berry, Katherine",
title="The Digital Therapeutic Alliance and Human-Computer Interaction",
journal="JMIR Ment Health",
year="2020",
month="Dec",
day="29",
volume="7",
number="12",
pages="e21895",
keywords="therapeutic alliance",
keywords="digital mental health",
keywords="affective computing",
keywords="persuasive computing",
keywords="positive computing",
keywords="mobile phone",
keywords="mHealth",
doi="10.2196/21895",
url="http://mental.jmir.org/2020/12/e21895/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33372897"
}


@Article{info:doi/10.2196/25137,
author="Bent, Brinnae
and Dunn, P. Jessilyn",
title="Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Dec",
day="22",
volume="8",
number="12",
pages="e25137",
keywords="digital medicine",
keywords="digital health",
keywords="mHealth",
keywords="wearables",
keywords="sensors",
keywords="validation",
keywords="pandemic",
keywords="COVID-19",
doi="10.2196/25137",
url="http://mhealth.jmir.org/2020/12/e25137/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33315580"
}


@Article{info:doi/10.2196/23194,
author="Du, Li
and Raposo, L{\'u}cia Vera
and Wang, Meng",
title="COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Nov",
day="27",
volume="8",
number="11",
pages="e23194",
keywords="COVID-19",
keywords="contact tracing apps",
keywords="privacy",
keywords="public health",
keywords="global health",
doi="10.2196/23194",
url="http://mhealth.jmir.org/2020/11/e23194/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33156804"
}


@Article{info:doi/10.2196/17577,
author="Bruce, Courtenay
and Harrison, Patricia
and Giammattei, Charlie
and Desai, Shetal-Nicholas
and Sol, R. Joshua
and Jones, Stephen
and Schwartz, Roberta",
title="Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Nov",
day="11",
volume="8",
number="11",
pages="e17577",
keywords="innovation",
keywords="health care",
keywords="digital technology",
keywords="digital interventions",
keywords="patient-facing technologies",
keywords="patient-centered care",
keywords="patient centeredness",
keywords="patient experience",
keywords="patient engagement",
keywords="patient activation",
keywords="quality",
keywords="effectiveness",
keywords="quality improvement",
keywords="information technologies",
keywords="outcomes",
keywords="readmissions",
keywords="length of stay",
keywords="patient adherence",
doi="10.2196/17577",
url="http://mhealth.jmir.org/2020/11/e17577/",
url="http://www.ncbi.nlm.nih.gov/pubmed/33174846"
}


@Article{info:doi/10.2196/19154,
author="Morse, M. Rachel
and Myburgh, Hanlie
and Reubi, David
and Archey, E. Ava
and Busakwe, Leletu
and Garcia-Prats, J. Anthony
and Hesseling, C. Anneke
and Jacobs, Stephanie
and Mbaba, Sharon
and Meyerson, Kyla
and Seddon, A. James
and van der Zalm, M. Marieke
and Wademan, T. Dillon
and Hoddinott, Graeme",
title="Opportunities for Mobile App--Based Adherence Support for Children With Tuberculosis in South Africa",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Nov",
day="11",
volume="8",
number="11",
pages="e19154",
keywords="eHealth",
keywords="mHealth",
keywords="tuberculosis",
keywords="pediatric tuberculosis",
keywords="adherence",
doi="10.2196/19154",
url="https://mhealth.jmir.org/2020/11/e19154",
url="http://www.ncbi.nlm.nih.gov/pubmed/33174850"
}


@Article{info:doi/10.2196/20156,
author="Bao, Huanyu
and Cao, Bolin
and Xiong, Yuan
and Tang, Weiming",
title="Digital Media's Role in the COVID-19 Pandemic",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Sep",
day="18",
volume="8",
number="9",
pages="e20156",
keywords="COVID-19",
keywords="digital health",
keywords="media",
keywords="pandemic",
keywords="public health",
keywords="social media",
keywords="dissemination",
keywords="health information",
keywords="mobile health",
doi="10.2196/20156",
url="https://mhealth.jmir.org/2020/9/e20156",
url="http://www.ncbi.nlm.nih.gov/pubmed/32530817"
}


@Article{info:doi/10.2196/22321,
author="Nakamoto, Ichiro
and Wang, Sheng
and Guo, Yan
and Zhuang, Weiqing",
title="A QR Code--Based Contact Tracing Framework for Sustainable Containment of COVID-19: Evaluation of an Approach to Assist the Return to Normal Activity",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Sep",
day="7",
volume="8",
number="9",
pages="e22321",
keywords="COVID-19",
keywords="coronavirus",
keywords="symptom-based",
keywords="quick response",
keywords="eHealth",
keywords="digital health",
keywords="telesurveillance",
keywords="pandemic",
keywords="epidemic",
keywords="interoperability",
doi="10.2196/22321",
url="http://mhealth.jmir.org/2020/9/e22321/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32841151"
}


@Article{info:doi/10.2196/20679,
author="Yin, Zenong
and Errisuriz, L. Vanessa
and Evans, Martin
and Inupakutika, Devasena
and Kaghyan, Sahak
and Li, Shiyu
and Esparza, Laura
and Akopian, David
and Parra-Medina, Deborah",
title="A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development",
journal="JMIR Form Res",
year="2020",
month="Aug",
day="20",
volume="4",
number="8",
pages="e20679",
keywords="mhealth",
keywords="digital intervention",
keywords="Latino families",
keywords="rural population",
keywords="weight",
keywords="self-management",
keywords="diet",
keywords="lifestyle",
keywords="chronic disease",
doi="10.2196/20679",
url="http://formative.jmir.org/2020/8/e20679/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32726748"
}


@Article{info:doi/10.2196/17281,
author="Agarwal, Anish
and Patel, Mitesh",
title="Prescribing Behavior Change: Opportunities and Challenges for Clinicians to Embrace Digital and Mobile Health",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Aug",
day="4",
volume="8",
number="8",
pages="e17281",
keywords="digital health",
keywords="behavior change",
keywords="mobile health",
keywords="patient-centered data collection",
doi="10.2196/17281",
url="https://mhealth.jmir.org/2020/8/e17281",
url="http://www.ncbi.nlm.nih.gov/pubmed/32749997"
}


@Article{info:doi/10.2196/17567,
author="Keutzer, Lina
and Simonsson, SH Ulrika",
title="Medical Device Apps: An Introduction to Regulatory Affairs for Developers",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Jun",
day="26",
volume="8",
number="6",
pages="e17567",
keywords="MDR",
keywords="medical device regulation",
keywords="medical devices, medical device software",
keywords="mHealth",
keywords="eHealth",
keywords="mobile apps",
keywords="smartphone apps",
doi="10.2196/17567",
url="http://mhealth.jmir.org/2020/6/e17567/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32589154"
}


@Article{info:doi/10.2196/16429,
author="Seixas, Azizi
and Connors, Colleen
and Chung, Alicia
and Donley, Tiffany
and Jean-Louis, Girardin",
title="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",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Jun",
day="24",
volume="8",
number="6",
pages="e16429",
keywords="adherence",
keywords="mHealth",
keywords="management",
keywords="chronic diseases",
keywords="prevention",
keywords="technology",
doi="10.2196/16429",
url="https://mhealth.jmir.org/2020/6/e16429",
url="http://www.ncbi.nlm.nih.gov/pubmed/32579121"
}


@Article{info:doi/10.2196/20369,
author="Cheng, Weibin
and Hao, Chun",
title="Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Jun",
day="22",
volume="8",
number="6",
pages="e20369",
keywords="COVID-19",
keywords="surveillance",
keywords="contact tracing",
keywords="digital contact tracing",
keywords="notification",
keywords="anonymous",
keywords="labor-saving",
keywords="stigma",
keywords="privacy protection",
doi="10.2196/20369",
url="http://mhealth.jmir.org/2020/6/e20369/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32501802"
}


@Article{info:doi/10.2196/14375,
author="Materia, T. Frank
and Faasse, Kate
and Smyth, M. Joshua",
title="Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies",
journal="JMIR Mhealth Uhealth",
year="2020",
month="May",
day="25",
volume="8",
number="5",
pages="e14375",
keywords="mHealth",
keywords="technology",
keywords="nocebo effect",
keywords="implementation science",
keywords="medically unexplained symptoms",
doi="10.2196/14375",
url="http://mhealth.jmir.org/2020/5/e14375/",
url="http://www.ncbi.nlm.nih.gov/pubmed/32449688"
}


@Article{info:doi/10.2196/17507,
author="Knitza, Johannes
and Knevel, Rachel
and Raza, Karim
and Bruce, Tor
and Eimer, Ekaterina
and Gehring, Isabel
and Mathsson-Alm, Linda
and Poorafshar, Maryam
and Hueber, J. Axel
and Schett, Georg
and Johannesson, Martina
and Catrina, Anca
and Klareskog, Lars
and ",
title="Toward Earlier Diagnosis Using Combined eHealth Tools in Rheumatology: The Joint Pain Assessment Scoring Tool (JPAST) Project",
journal="JMIR Mhealth Uhealth",
year="2020",
month="May",
day="15",
volume="8",
number="5",
pages="e17507",
keywords="rheumatology",
keywords="eHealth",
keywords="mHealth",
keywords="symptom-checkers",
keywords="apps",
doi="10.2196/17507",
url="https://mhealth.jmir.org/2020/5/e17507",
url="http://www.ncbi.nlm.nih.gov/pubmed/32348258"
}


@Article{info:doi/10.2196/14512,
author="Brewer, C. LaPrincess
and Fortuna, L. Karen
and Jones, Clarence
and Walker, Robert
and Hayes, N. Sharonne
and Patten, A. Christi
and Cooper, A. Lisa",
title="Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health",
journal="JMIR Mhealth Uhealth",
year="2020",
month="Jan",
day="14",
volume="8",
number="1",
pages="e14512",
keywords="health informatics",
keywords="digital health",
keywords="mobile health",
keywords="eHealth",
keywords="community-based participatory research",
keywords="health equity",
doi="10.2196/14512",
url="https://mhealth.jmir.org/2020/1/e14512",
url="http://www.ncbi.nlm.nih.gov/pubmed/31934874"
}


@Article{info:doi/10.2196/13305,
author="L'Hommedieu, Michelle
and L'Hommedieu, Justin
and Begay, Cynthia
and Schenone, Alison
and Dimitropoulou, Lida
and Margolin, Gayla
and Falk, Tiago
and Ferrara, Emilio
and Lerman, Kristina
and Narayanan, Shrikanth",
title="Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Dec",
day="10",
volume="7",
number="12",
pages="e13305",
keywords="research",
keywords="research techniques",
keywords="Ecological Momentary Assessment",
keywords="wearable electronic devices",
doi="10.2196/13305",
url="https://mhealth.jmir.org/2019/12/e13305",
url="http://www.ncbi.nlm.nih.gov/pubmed/31821155"
}


@Article{info:doi/10.2196/15301,
author="Zawati, H. Ma'n
and Lang, Michael",
title="Mind the App: Considerations for the Future of Mobile Health in Canada",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Nov",
day="4",
volume="7",
number="11",
pages="e15301",
keywords="smartphone",
keywords="mobile phone",
keywords="regulation",
keywords="patients",
keywords="physicians",
doi="10.2196/15301",
url="https://mhealth.jmir.org/2019/11/e15301",
url="http://www.ncbi.nlm.nih.gov/pubmed/31682580"
}


@Article{info:doi/10.2196/14056,
author="Katapally, Reddy Tarun",
title="The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Aug",
day="30",
volume="7",
number="8",
pages="e14056",
keywords="community-based participatory research",
keywords="smartphones",
keywords="mobile phones",
keywords="population health",
keywords="mHealth",
keywords="eHealth",
keywords="digital health",
keywords="big data",
keywords="evidence-based framework",
keywords="citizen science",
keywords="participatory research",
keywords="participatory surveillance",
keywords="systems science",
keywords="ubiquitous tools",
doi="10.2196/14056",
url="http://mhealth.jmir.org/2019/8/e14056/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31471963"
}


@Article{info:doi/10.2196/11966,
author="Tobore, Igbe
and Li, Jingzhen
and Yuhang, Liu
and Al-Handarish, Yousef
and Kandwal, Abhishek
and Nie, Zedong
and Wang, Lei",
title="Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Aug",
day="02",
volume="7",
number="8",
pages="e11966",
keywords="machine learning",
keywords="deep learning",
keywords="big data",
keywords="mHealth",
keywords="medical imaging",
keywords="electronic health record",
keywords="biologicals",
keywords="biomedical",
keywords="ECG",
keywords="EEG",
keywords="artificial intelligence",
doi="10.2196/11966",
url="https://mhealth.jmir.org/2019/8/e11966/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31376272"
}


@Article{info:doi/10.2196/10299,
author="Lv, Qing
and Jiang, Yutong
and Qi, Jun
and Zhang, Yanli
and Zhang, Xi
and Fang, Linkai
and Tu, Liudan
and Yang, Mingcan
and Liao, Zetao
and Zhao, Minjing
and Guo, Xinghua
and Qiu, Minli
and Gu, Jieruo
and Lin, Zhiming",
title="Using Mobile Apps for Health Management: A New Health Care Mode in China",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Jun",
day="03",
volume="7",
number="6",
pages="e10299",
keywords="mHealth",
keywords="internet",
keywords="health care",
keywords="medical informatics",
abstract="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. ",
doi="10.2196/10299",
url="https://mhealth.jmir.org/2019/6/e10299/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31162131"
}


@Article{info:doi/10.2196/14124,
author="Shah, M. Lochan
and Yang, E. William
and Demo, C. Ryan
and Lee, A. Matthias
and Weng, Daniel
and Shan, Rongzi
and Wongvibulsin, Shannon
and Spaulding, M. Erin
and Marvel, A. Francoise
and Martin, S. Seth",
title="Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation",
journal="JMIR Mhealth Uhealth",
year="2019",
month="May",
day="15",
volume="7",
number="5",
pages="e14124",
keywords="mHealth",
keywords="cardiology",
keywords="myocardial infarction",
keywords="personalized medicine",
doi="10.2196/14124",
url="http://mhealth.jmir.org/2019/5/e14124/",
url="http://www.ncbi.nlm.nih.gov/pubmed/31094337"
}


@Article{info:doi/10.2196/11245,
author="Grekin, R. Emily
and Beatty, R. Jessica
and Ondersma, J. Steven",
title="Mobile Health Interventions: Exploring the Use of Common Relationship Factors",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Apr",
day="15",
volume="7",
number="4",
pages="e11245",
keywords="mobile health",
keywords="mHealth",
keywords="smartphone",
keywords="empathy",
keywords="mobile applications",
keywords="therapeutic alliance",
doi="10.2196/11245",
url="http://mhealth.jmir.org/2019/4/e11245/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30985281"
}


@Article{info:doi/10.2196/11969,
author="Jones, Helen Kerina
and Daniels, Helen
and Heys, Sharon
and Ford, Vincent David",
title="Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research",
journal="JMIR Mhealth Uhealth",
year="2019",
month="Mar",
day="22",
volume="7",
number="3",
pages="e11969",
keywords="mobile phone data",
keywords="ethical framework",
doi="10.2196/11969",
url="http://mhealth.jmir.org/2019/3/e11969/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30900996"
}


@Article{info:doi/10.2196/10414,
author="Larson, S. Richard",
title="A Path to Better-Quality mHealth Apps",
journal="JMIR Mhealth Uhealth",
year="2018",
month="Jul",
day="30",
volume="6",
number="7",
pages="e10414",
keywords="mobile apps",
keywords="smartphone",
keywords="software validation",
keywords="medical device legislation",
keywords="United States Food and Drug Administration",
doi="10.2196/10414",
url="http://mhealth.jmir.org/2018/7/e10414/",
url="http://www.ncbi.nlm.nih.gov/pubmed/30061091"
}


@Article{info:doi/10.2196/resprot.9589,
author="Kotz, David
and Lord, E. Sarah
and O'Malley, James A.
and Stark, Luke
and Marsch, A. Lisa",
title="Workshop on Emerging Technology and Data Analytics for Behavioral Health",
journal="JMIR Res Protoc",
year="2018",
month="Jun",
day="20",
volume="7",
number="6",
pages="e158",
keywords="behavioral health",
keywords="mobile technology",
keywords="wearable devices",
keywords="data analytics",
keywords="mHealth",
doi="10.2196/resprot.9589",
url="http://www.researchprotocols.org/2018/6/e158/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29925493"
}


@Article{info:doi/10.2196/mhealth.9341,
author="D{\"u}king, Peter
and Fuss, Konstantin Franz
and Holmberg, Hans-Christer
and Sperlich, Billy",
title="Recommendations for Assessment of the Reliability, Sensitivity, and Validity of Data Provided by Wearable Sensors Designed for Monitoring Physical Activity",
journal="JMIR Mhealth Uhealth",
year="2018",
month="Apr",
day="30",
volume="6",
number="4",
pages="e102",
keywords="activity tracker",
keywords="data mining",
keywords="Internet of Things",
keywords="load management",
keywords="physical activity",
keywords="smartwatch",
doi="10.2196/mhealth.9341",
url="http://mhealth.jmir.org/2018/4/e102/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29712629"
}


@Article{info:doi/10.2196/mhealth.8758,
author="Jake-Schoffman, E. Danielle
and Silfee, J. Valerie
and Waring, E. Molly
and Boudreaux, D. Edwin
and Sadasivam, S. Rajani
and Mullen, P. Sean
and Carey, L. Jennifer
and Hayes, B. Rashelle
and Ding, Y. Eric
and Bennett, G. Gary
and Pagoto, L. Sherry",
title="Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Dec",
day="18",
volume="5",
number="12",
pages="e190",
keywords="mHealth",
keywords="mobile health",
keywords="mobile applications",
keywords="telemedicine/methods ",
keywords="treatment efficacy",
keywords="behavioral medicine",
keywords="chronic disease",
doi="10.2196/mhealth.8758",
url="http://mhealth.jmir.org/2017/12/e190/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29254914"
}


@Article{info:doi/10.2196/mhealth.8303,
author="Unger, A. Jennifer
and Kinuthia, John
and John-Stewart, Grace",
title="Texting Condolences: Adapting mHealth Programs After Unexpected Pregnancy and Infant Outcomes",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Dec",
day="08",
volume="5",
number="12",
pages="e176",
keywords="mHealth",
keywords="infant loss",
keywords="miscarriage",
doi="10.2196/mhealth.8303",
url="http://mhealth.jmir.org/2017/12/e176/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29222078"
}


@Article{info:doi/10.2196/mhealth.8259,
author="Pathanasethpong, Atipong
and Soomlek, Chitsutha
and Morley, Katharine
and Morley, Michael
and Polpinit, Pattarawit
and Dagan, Alon
and Weis, W. James
and Celi, Anthony Leo",
title="Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Oct",
day="16",
volume="5",
number="10",
pages="e155",
keywords="hackathon",
keywords="mHealth",
keywords="interdisciplinary collaboration",
doi="10.2196/mhealth.8259",
url="http://mhealth.jmir.org/2017/10/e155/",
url="http://www.ncbi.nlm.nih.gov/pubmed/29038098"
}


@Article{info:doi/10.2196/mhealth.7988,
author="Mehralizade, Aydan
and Schor, Shayna
and Coleman, M. Chad
and Oppenheim, E. Claire
and Denckla, A. Christy
and Borba, PC Christina
and Henderson, C. David
and Wolff, James
and Crane, Sarah
and Nettles-Gomez, Pamela
and Pal, Avik
and Milanovic, Snezana",
title="Mobile Health Apps in OB-GYN-Embedded Psychiatric Care: Commentary",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Oct",
day="06",
volume="5",
number="10",
pages="e152",
keywords="mHealth",
keywords="eHealth",
keywords="embedded psychiatric clinic",
keywords="postpartum depression",
keywords="mental health",
keywords="OB-GYN",
keywords="global health",
keywords="reproductive health",
doi="10.2196/mhealth.7988",
url="http://mhealth.jmir.org/2017/10/e152/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28986335"
}


@Article{info:doi/10.2196/mhealth.6640,
author="Agarwal, Smisha
and Lefevre, E. Amnesty
and Labrique, B. Alain",
title="A Call to Digital Health Practitioners: New Guidelines Can Help Improve the Quality of Digital Health Evidence",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Oct",
day="06",
volume="5",
number="10",
pages="e136",
keywords="mHealth",
keywords="checklist",
keywords="reporting",
keywords="digital health",
keywords="publishing guidelines",
abstract="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. ",
doi="10.2196/mhealth.6640",
url="https://mhealth.jmir.org/2017/10/e136/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28986340"
}


@Article{info:doi/10.2196/mhealth.6494,
author="Nebeker, Camille
and Murray, Kate
and Holub, Christina
and Haughton, Jessica
and Arredondo, M. Elva",
title="Acceptance of Mobile Health in Communities Underrepresented in Biomedical Research: Barriers and Ethical Considerations for Scientists",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Jun",
day="28",
volume="5",
number="6",
pages="e87",
keywords="telemedicine",
keywords="cultural diversity",
keywords="ethics, research",
keywords="ethics committees",
keywords="research",
keywords="privacy",
keywords="informed consent",
abstract="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) ",
doi="10.2196/mhealth.6494",
url="http://mhealth.jmir.org/2017/6/e87/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28659258"
}


@Article{info:doi/10.2196/mhealth.7291,
author="Bradway, Meghan
and Carrion, Carme
and Vallespin, B{\'a}rbara
and Saadatfard, Omid
and Puigdom{\`e}nech, Elisa
and Espallargues, Mireia
and Kotzeva, Anna",
title="mHealth Assessment: Conceptualization of a Global Framework",
journal="JMIR Mhealth Uhealth",
year="2017",
month="May",
day="02",
volume="5",
number="5",
pages="e60",
keywords="mhealth",
keywords="evaluation",
keywords="assessment",
keywords="checklist",
keywords="framework",
abstract="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. ",
doi="10.2196/mhealth.7291",
url="http://mhealth.jmir.org/2017/5/e60/",
url="http://www.ncbi.nlm.nih.gov/pubmed/28465282"
}


@Article{info:doi/10.2196/mhealth.5659,
author="Davis, Latham Teaniese
and DiClemente, Ralph
and Prietula, Michael",
title="Taking mHealth Forward: Examining the Core Characteristics",
journal="JMIR Mhealth Uhealth",
year="2016",
month="Aug",
day="10",
volume="4",
number="3",
pages="e97",
keywords="mobile health",
keywords="eHealth",
keywords="mHealth",
keywords="health policy",
keywords="health technology",
keywords="text messaging",
keywords="public health informatics",
keywords="telehealth",
doi="10.2196/mhealth.5659",
url="http://mhealth.jmir.org/2016/3/e97/",
url="http://www.ncbi.nlm.nih.gov/pubmed/27511612"
}


@Article{info:doi/10.2196/mhealth.4538,
author="Carter, Adrian
and Liddle, Jacki
and Hall, Wayne
and Chenery, Helen",
title="Mobile Phones in Research and Treatment: Ethical Guidelines and Future Directions",
journal="JMIR mHealth uHealth",
year="2015",
month="Oct",
day="16",
volume="3",
number="4",
pages="e95",
keywords="ethics",
keywords="informed consent",
keywords="mHealth",
keywords="mobile phones",
keywords="Parkinson's disease",
keywords="privacy",
keywords="regulation",
doi="10.2196/mhealth.4538",
url="http://mhealth.jmir.org/2015/4/e95/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26474545"
}


@Article{info:doi/10.2196/mhealth.3918,
author="Vincent, James Christopher
and Niezen, Gerrit
and O'Kane, Ann Aisling
and Stawarz, Katarzyna",
title="Can Standards and Regulations Keep Up With Health Technology?",
journal="JMIR mHealth uHealth",
year="2015",
month="Jun",
day="03",
volume="3",
number="2",
pages="e64",
keywords="governmental regulations",
keywords="health services",
keywords="medical devices",
keywords="mHealth",
keywords="mobile phones",
keywords="open source initiative",
keywords="software",
keywords="standards",
keywords="technology",
doi="10.2196/mhealth.3918",
url="http://mhealth.jmir.org/2015/2/e64/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26041730"
}


@Article{info:doi/10.2196/mhealth.4150,
author="Oreskovic, Michel Nicolas
and Huang, T. Terry
and Moon, Jon",
title="Integrating mHealth and Systems Science: A Combination Approach to Prevent and Treat Chronic Health Conditions",
journal="JMIR mHealth uHealth",
year="2015",
month="Jun",
day="02",
volume="3",
number="2",
pages="e62",
keywords="mHealth",
keywords="systems science",
keywords="chronic health conditions",
keywords="obesity",
keywords="physical activity",
doi="10.2196/mhealth.4150",
url="http://mhealth.jmir.org/2015/2/e62/",
url="http://www.ncbi.nlm.nih.gov/pubmed/26036753"
}