@Article{info:doi/10.2196/70594,
author="Balki, Eric",
title="Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern?",
journal="JMIR Form Res",
year="2025",
month="Apr",
day="7",
volume="9",
pages="e70594",
keywords="dating apps",
keywords="mental health",
keywords="men",
keywords="algorithm",
keywords="anxiety",
keywords="depression",
keywords="loneliness",
doi="10.2196/70594",
url="https://formative.jmir.org/2025/1/e70594"
}


@Article{info:doi/10.2196/64087,
author="Kotera, Yasuhiro
and Daryanani, Riddhi
and Skipper, Oliver
and Simpson, Jonathan
and Takhi, Simran
and McPhilbin, Merly
and Ingall, Benjamin-Rose
and Namasaba, Mariam
and Jepps, Jessica
and Kellermann, Vanessa
and Bhandari, Divya
and Ojio, Yasutaka
and Ronaldson, Amy
and Guerrero, Estefania
and Jebara, Tesnime
and Henderson, Claire
and Slade, Mike
and Vilar-Lluch, Sara",
title="Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research",
journal="JMIR Form Res",
year="2025",
month="Feb",
day="21",
volume="9",
pages="e64087",
keywords="critical discourse analysis",
keywords="cross-cultural mental health recovery research",
keywords="linguistic analysis",
keywords="social inequality",
keywords="mental health",
keywords="recovery research",
keywords="language",
keywords="social inequalities",
keywords="qualitative analytical approach",
keywords="linguistic expressions",
keywords="discourse",
keywords="analysis",
keywords="framework",
keywords="inequalities",
keywords="CDA",
doi="10.2196/64087",
url="https://formative.jmir.org/2025/1/e64087"
}


@Article{info:doi/10.2196/65561,
author="Iyer, S. Maya
and Moe, Aubrey
and Massick, Susan
and Davis, Jessica
and Ballinger, Megan
and Townsend, Kristy",
title="Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: ``We Built the Airplane While Flying It''",
journal="JMIR Form Res",
year="2025",
month="Jan",
day="23",
volume="9",
pages="e65561",
keywords="collaborative",
keywords="gender equity",
keywords="women in medicine",
keywords="women in science",
keywords="biomedical science",
keywords="women",
keywords="women+",
keywords="gender",
keywords="medicine",
keywords="university",
keywords="faculty",
keywords="accessibility",
keywords="career",
keywords="equity",
keywords="networking",
keywords="opportunity",
keywords="retaining",
keywords="programming",
keywords="Big Ten Academic Alliance",
keywords="BTAA",
keywords="academic alliance",
doi="10.2196/65561",
url="https://formative.jmir.org/2025/1/e65561"
}


@Article{info:doi/10.2196/51319,
author="Kim, JaeYong
and Vajravelu, Narayan Bathri",
title="Assessing the Current Limitations of Large Language Models in Advancing Health Care Education",
journal="JMIR Form Res",
year="2025",
month="Jan",
day="16",
volume="9",
pages="e51319",
keywords="large language model",
keywords="generative pretrained transformer",
keywords="health care education",
keywords="health care delivery",
keywords="artificial intelligence",
keywords="LLM",
keywords="ChatGPT",
keywords="AI",
doi="10.2196/51319",
url="https://formative.jmir.org/2025/1/e51319"
}


@Article{info:doi/10.2196/60832,
author="Powell, Daniel
and Asad, Laiba
and Zavaglia, Elissa
and Ferrari, Manuela",
title="Promoting Digital Health Data Literacy: The Datum Project",
journal="JMIR Form Res",
year="2025",
month="Jan",
day="3",
volume="9",
pages="e60832",
keywords="health data",
keywords="digital data",
keywords="medical records",
keywords="legislation",
keywords="ethics",
keywords="knowledge dissemination",
keywords="learning health system",
keywords="data bank",
doi="10.2196/60832",
url="https://formative.jmir.org/2025/1/e60832"
}


@Article{info:doi/10.2196/60368,
author="Bouchacourt, Lindsay
and Smith, Sarah
and Mackert, Michael
and Almalki, Shoaa
and Awad, Germine
and Barczyk, Amanda
and Bearman, Kate Sarah
and Castelli, Darla
and Champagne, Frances
and de Barbaro, Kaya
and Garcia, Shirene
and Johnson, Karen
and Kinney, Kerry
and Lawson, Karla
and Nagy, Zoltan
and Qui{\~n}ones Camacho, Laura
and Rodr{\'i}guez, Lourdes
and Schnyer, David
and Thomaz, Edison
and Upshaw, Sean
and Zhang, Yan",
title="Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study",
journal="JMIR Form Res",
year="2024",
month="Dec",
day="5",
volume="8",
pages="e60368",
keywords="community-based",
keywords="longitudinal",
keywords="health disparities",
keywords="cohort study",
keywords="case study",
keywords="family health",
keywords="child",
keywords="children",
keywords="families",
keywords="child development",
keywords="mobile phone",
doi="10.2196/60368",
url="https://formative.jmir.org/2024/1/e60368"
}


@Article{info:doi/10.2196/64494,
author="Bouguettaya, Ayoub
and Aboujaoude, Elias",
title="Using Extended Reality to Enhance Effectiveness and Group Identification in Remote Group Therapy for Anxiety Disorders: A Critical Analysis",
journal="JMIR Form Res",
year="2024",
month="Nov",
day="4",
volume="8",
pages="e64494",
keywords="group therapy",
keywords="psychotherapy",
keywords="telepsychiatry",
keywords="mental health",
keywords="extended reality",
keywords="augmented reality",
keywords="virtual reality therapy",
keywords="anxiety",
keywords="cognitive behavioral therapy",
doi="10.2196/64494",
url="https://formative.jmir.org/2024/1/e64494"
}


@Article{info:doi/10.2196/63832,
author="Wegener, Kauffeldt Emilie
and Bergsch{\"o}ld, M. Jenny
and Bergh, Sverre
and van Berlo, Ad
and Schmidt, Wong Camilla
and Konidari, Afroditi
and Kayser, Lars",
title="Considerations When Designing Inclusive Digital Health Solutions for Older Adults Living With Frailty or Impairments",
journal="JMIR Form Res",
year="2024",
month="Oct",
day="21",
volume="8",
pages="e63832",
keywords="digital health services",
keywords="frameworks",
keywords="sociotechnical ecosystem",
keywords="older adults",
keywords="co-design",
doi="10.2196/63832",
url="https://formative.jmir.org/2024/1/e63832"
}


@Article{info:doi/10.2196/50063,
author="Berglund, Aseel
and Jaarsma, Tiny
and Or{\"a}dd, Helena
and Fallstr{\"o}m, Johan
and Str{\"o}mberg, Anna
and Klompstra, Leonie
and Berglund, Erik",
title="The Application of a Serious Game Framework to Design and Develop an Exergame for Patients With Heart Failure",
journal="JMIR Form Res",
year="2024",
month="Aug",
day="7",
volume="8",
pages="e50063",
keywords="mobile health apps",
keywords="physical activity",
keywords="exergames",
keywords="player-centered design",
keywords="heart failure",
keywords="human-computer interaction",
keywords="mobile phone",
doi="10.2196/50063",
url="https://formative.jmir.org/2024/1/e50063"
}


@Article{info:doi/10.2196/52566,
author="Aoki, Nozomi
and Miyagami, Taiju
and Saita, Mizue
and Naito, Toshio",
title="AI Analysis of General Medicine in Japan: Present and Future Considerations",
journal="JMIR Form Res",
year="2024",
month="Mar",
day="29",
volume="8",
pages="e52566",
keywords="artificial intelligence",
keywords="physicians",
keywords="hospitalists",
keywords="polypharmacy",
keywords="sexism",
keywords="Japan",
keywords="AI",
keywords="medicine",
keywords="gender-biased",
keywords="physician",
keywords="medical care",
keywords="gender",
keywords="women",
keywords="Pharmacology",
keywords="older adults",
keywords="geriatric",
keywords="elderly",
keywords="Japanese",
doi="10.2196/52566",
url="https://formative.jmir.org/2024/1/e52566",
url="http://www.ncbi.nlm.nih.gov/pubmed/38551640"
}


@Article{info:doi/10.2196/52740,
author="Narayan, Aditya
and Weng, Kydo
and Shah, Nirav",
title="Decentralizing Health Care: History and Opportunities of Web3",
journal="JMIR Form Res",
year="2024",
month="Mar",
day="27",
volume="8",
pages="e52740",
keywords="Web3",
keywords="health care",
keywords="patient-centric",
keywords="data ownership",
keywords="decentralization",
keywords="interoperability",
keywords="electronic health record (EHR)",
keywords="privacy",
keywords="blockchain",
keywords="digital transformation",
keywords="digital health care",
keywords="digital health",
keywords="patient",
keywords="patients",
keywords="technological framework",
keywords="security and privacy",
keywords="security",
doi="10.2196/52740",
url="https://formative.jmir.org/2024/1/e52740",
url="http://www.ncbi.nlm.nih.gov/pubmed/38536235"
}


@Article{info:doi/10.2196/49759,
author="Kazemi, Alireza
and Boyd, Marisha
and Choi, Fiona
and Tai, Yeung Andy Man
and Tsang, WL Vivian
and To, Tam
and Kim, Jane
and Jang, Kerry
and Shams, Farhud
and Schreiter, Stefanie
and Cabanis, Maurice
and Krausz, Michael Reinhard",
title="Architecture and Development Framework for a Web-Based Risk Assessment and Management Platform Developed on WordPress to Address Opioid Overdose",
journal="JMIR Form Res",
year="2024",
month="Mar",
day="11",
volume="8",
pages="e49759",
keywords="software designs",
keywords="risks management",
keywords="risk assessments",
keywords="opioid overdose",
keywords="crisis intervention",
keywords="substance related disorders",
doi="10.2196/49759",
url="https://formative.jmir.org/2024/1/e49759",
url="http://www.ncbi.nlm.nih.gov/pubmed/38466977"
}


@Article{info:doi/10.2196/42798,
author="John, Alby
and M, Jagadeesan
and Rubeshkumar, Polani
and Ganeshkumar, Parasuraman
and Masanam Sriramulu, Hemalatha
and Narnaware, Manish
and Singh Bedi, Gagandeep
and Kaur, Prabhdeep",
title="Implementation of a Triage Protocol Outside the Hospital Setting for Timely Referral During the COVID-19 Second Wave in Chennai, India",
journal="JMIR Form Res",
year="2023",
month="Dec",
day="18",
volume="7",
pages="e42798",
keywords="COVID-19",
keywords="triage",
keywords="low- and middle-income countries",
keywords="LMIC",
keywords="India",
keywords="pulse oximeter",
keywords="implementation",
keywords="health care system",
keywords="self-management",
keywords="patient care",
keywords="community health",
keywords="low income",
keywords="health disparity",
keywords="low-resource setting",
doi="10.2196/42798",
url="https://formative.jmir.org/2023/1/e42798",
url="http://www.ncbi.nlm.nih.gov/pubmed/37235721"
}


@Article{info:doi/10.2196/49358,
author="Srivastava, Ujwal
and Dasari, Shobha
and Shah, Neha",
title="Learnings in Digital Health Design: Insights From a Pilot Web App for Structured Note-Taking for Patients With Rheumatoid Arthritis",
journal="JMIR Form Res",
year="2023",
month="Nov",
day="28",
volume="7",
pages="e49358",
keywords="digital health",
keywords="biodesign",
keywords="technology",
keywords="software",
keywords="web app",
keywords="codesign",
keywords="patient empowerment",
keywords="note-taking",
keywords="medical information",
keywords="web application",
keywords="web-based",
keywords="technology engagement",
abstract="Background: Patients fail to accurately remember 40\% to 80\% of medical information relayed during doctor appointments, and most standard after-visit summaries fail to effectively help patients comply with behaviors to manage their health conditions. The value of technology to empower and engage patients in their health management has been shown, and here we apply technology to help patients remember and act upon information communicated during their medical appointments. Objective: We describe the development of WellNote, a digital notebook designed for patients to create a customized plan to manage their condition, plan for their appointments, track important actions (eg, medications and labs), and receive reminders for appointments and labs. Methods: For this pilot, we chose to focus on rheumatoid arthritis, a chronic condition that relies on many of these features. The development of WellNote followed a structured method based on design thinking and co-design principles, with the app built in close collaboration with patients and a physician partner to ensure clinical relevance. Our design process consisted of 3 rounds: patient and physician interviews, visual prototypes, and a functional pilot app. Results: Over the course of the design process, WellNote's features were refined, with the final version being a digital notebook designed for patients with rheumatoid arthritis to manage their health by helping them track medications and labs and plan for appointments. It features several pages, like a dashboard, patient profile, appointment notes, preplanning, medication management, lab tracking, appointment archives, reminders, and a pillbox for medication visualization. Conclusions: WellNote's active and structured note-taking features allow patients to clearly document the information from their physician without detracting from the conversation, helping the patient to become more empowered and engaged in their health management. The co-design process empowered these stakeholders to share their needs and participate in the development of a solution that truly solves pain points for these groups. This viewpoint highlights the role of digital health tools and the co-design of new health care innovations to empower patients and support clinicians. ",
doi="10.2196/49358",
url="https://formative.jmir.org/2023/1/e49358",
url="http://www.ncbi.nlm.nih.gov/pubmed/38015609"
}


@Article{info:doi/10.2196/49263,
author="Crespo-Martinez, Esteban
and Bueno, Salvador
and Gallego, Dolores M.",
title="A Video Game for Entrepreneurship Learning in Ecuador: Development Study",
journal="JMIR Form Res",
year="2023",
month="Oct",
day="11",
volume="7",
pages="e49263",
keywords="video game",
keywords="computer game",
keywords="serious game",
keywords="Unity 3D platform",
keywords="entrepreneurship",
keywords="business simulator",
abstract="Background: Games have been a part of human life since ancient times and are taught to children and adults who want to simultaneously have fun and learn. Nevertheless, in the third decade of this century, technology invites us to consider using video games to learn topics such as entrepreneurship. However, developing a serious game (SG) is difficult because everyone who forms part of the game development team requires adequate learning resources to acquire the necessary information and improve their game development skills. Objective: This work aimed to detail the experience gained in developing ATIC (Aprende, Trabaja, Innova, Conquista [learn, work, innovate, conquer]), an SG proposed for teaching and learning entrepreneurship. Methods: To develop a videogame, first, we established a game development team formed by professors, professionals, and students who have different roles in this project. Scrum was adopted as a project management method. To create concept art for the video game, designers collected ideas from various games, known as ``getting references.'' In contrast, narratology considers the life of a recent university graduate immersed in real life, considering locations, characteristics, and representative characters from an essential city of Ecuador Results: In a Unity 3D video game in ATIC, the life of a university student who graduates and ventures into a world full of opportunities, barriers, and risks, where the player needs to make decisions, is simulated. The art of this video game, including sounds and music, is based on the landscape and characteristics of and characters from Cuenca, Ecuador. The game aims to teach entrepreneurs the mechanisms and processes to form their businesses. Thus, we developed the following elements of an SG: (1) world, (2) objects, (3) agents, and (4) events. Conclusions: The narrative, mechanics, and art of video games are relevant. However, project management tools such as leaderboards and appointments are crucial to influencing individuals' decision to continue to play, or not play, an SG. Developing a serious video game is not an easy task. It was essential to consider many factors, such as the video game audience, needs of learning, context, similarities with the real world, narrative, game mechanics, game art, and game sounds. However, overall, the primary purpose of a serious video game is to transmit knowledge in a fun way and to give adequate and timely feedback to the gamer. Finally, nothing is possible if the members of game development team are not satisfied with the project and not clear about their roles. ",
doi="10.2196/49263",
url="https://formative.jmir.org/2023/1/e49263",
url="http://www.ncbi.nlm.nih.gov/pubmed/37819700"
}


@Article{info:doi/10.2196/45250,
author="Thomas, Verghese
and Kalidindi, Bharat
and Waghmare, Abijeet
and Bhatia, Abhishek
and Raj, Tony
and Balsari, Satchit",
title="The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems",
journal="JMIR Form Res",
year="2023",
month="Oct",
day="2",
volume="7",
pages="e45250",
keywords="community health workers",
keywords="digital health",
keywords="focus group discussions",
keywords="health care workers",
keywords="human centered design",
keywords="key informant interviews",
keywords="LMICs",
keywords="low- and middle-income countries",
keywords="mHealth",
keywords="mobile health",
keywords="qualitative research",
abstract="Background: mHealth (mobile health) systems have been deployed widely in low- and middle-income countries (LMICs) for health system strengthening, requiring considerable resource allocation. However, most solutions have not achieved scale or sustainability. Poor usability and failure to address perceived needs are among the principal reasons mHealth systems fail to achieve acceptance and adoption by health care workers. A human-centered design approach to improving mHealth system use requires an exploration of users' perceptions of mHealth systems, including the environmental, user-related, and technological aspects of a system. At present, there is a dearth of contextually intelligent tools available to mHealth developers that can guide such exploration before full-scale development and deployment. Objective: To develop a tool to aid optimization of mHealth solutions in LMICs to facilitate human-centered design and, consequently, successful adoption. Methods: We collated findings and themes from key qualitative studies on mHealth deployment in LMICs. We then used the Informatics Stack framework by Lehmann to label, sort, and collate findings and themes into a list of questions that explore the environment, users, artifacts, information governance, and interoperability of mHealth systems deployed in LMICs. Results: We developed the Vinyasa Tool to aid qualitative research about the need and usability of mHealth solutions in LMICs. The tool is a guide for focus group discussions and key informant interviews with community-based health care workers and primary care medical personnel who use or are expected to use proposed mHealth solutions. The tool consists of 71 questions organized in 11 sections that unpack and explore multiple aspects of mHealth systems from the perspectives of their users. These include the wider world and organization in which an mHealth solution is deployed; the roles, functions, workflow, and adoption behavior of a system's users; the security, privacy, and interoperability afforded by a system; and the artifacts of an information system---the data, information, knowledge, algorithms, and technology that constitute the system. The tool can be deployed in whole or in part, depending on the context of the study. Conclusions: The Vinyasa Tool is the first such comprehensive qualitative research instrument incorporating questions contextualized to the LMIC setting. We expect it to find wide application among mHealth developers, health system administrators, and researchers developing and deploying mHealth tools for use by patients, providers, and administrators. The tool is expected to guide users toward human-centered design with the goal of improving relevance, usability, and, therefore, adoption. ",
doi="10.2196/45250",
url="https://formative.jmir.org/2023/1/e45250",
url="http://www.ncbi.nlm.nih.gov/pubmed/37607881"
}


@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/10.2196/45694,
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/10.2196/38938,
author="Sheehan, Maria Orla
and Greene, Anthony Richard
and McKernan, Joye
and Murphy, Brendan
and Cahill, Caroline
and Cleary, Brian
and Lawlor, Fiona
and Robson, Michael
and ",
title="Introduction of a Single Electronic Health Record for Maternity Units in Ireland: Outline of the Experiences of the Project Management Team",
journal="JMIR Form Res",
year="2023",
month="May",
day="12",
volume="7",
pages="e38938",
keywords="baby",
keywords="babies",
keywords="data management",
keywords="data quality",
keywords="electronic health record",
keywords="health management",
keywords="implementation",
keywords="information management",
keywords="Ireland",
keywords="lessons learned",
keywords="management system",
keywords="maternity",
keywords="maternal",
keywords="mother",
keywords="newborn",
keywords="optimization",
keywords="planning",
keywords="pregnant",
keywords="pregnancy",
keywords="project management",
doi="10.2196/38938",
url="https://formative.jmir.org/2023/1/e38938",
url="http://www.ncbi.nlm.nih.gov/pubmed/37171841"
}


@Article{info:doi/10.2196/42548,
author="Li, Rui
and Shen, Mingwang
and Liu, Hanting
and Bai, Lu
and Zhang, Lei",
title="Do Infrared Thermometers Hold Promise for an Effective Early Warning System for Emerging Respiratory Infectious Diseases?",
journal="JMIR Form Res",
year="2023",
month="May",
day="3",
volume="7",
pages="e42548",
keywords="respiratory infectious diseases",
keywords="early warning",
keywords="infrared thermometer",
keywords="theoretical framework",
keywords="economic burden",
keywords="outbreak prevention",
keywords="warning system",
keywords="community health",
keywords="infectious disease",
keywords="smartphone device",
keywords="digital health surveillance",
abstract="Background: Major respiratory infectious diseases, such as influenza, SARS-CoV, and SARS-CoV-2, have caused historic global pandemics with severe disease and economic burdens. Early warning and timely intervention are key to suppress such outbreaks. Objective: We propose a theoretical framework for a community-based early warning (EWS) system that will proactively detect temperature abnormalities in the community based on a collective network of infrared thermometer--enabled smartphone devices. Methods: We developed a framework for a community-based EWS and demonstrated its operation with a schematic flowchart. We emphasize the potential feasibility of the EWS and potential obstacles. Results: Overall, the framework uses advanced artificial intelligence (AI) technology on cloud computing platforms to identify the probability of an outbreak in a timely manner. It hinges on the detection of geospatial temperature abnormalities in the community based on mass data collection, cloud-based computing and analysis, decision-making, and feedback. The EWS may be feasible for implementation considering its public acceptance, technical practicality, and value for money. However, it is important that the proposed framework work in parallel or in combination with other early warning mechanisms due to a relatively long initial model training process. Conclusions: The framework, if implemented, may provide an important tool for important decisions for early prevention and control of respiratory diseases for health stakeholders. ",
doi="10.2196/42548",
url="https://formative.jmir.org/2023/1/e42548",
url="http://www.ncbi.nlm.nih.gov/pubmed/37133929"
}


@Article{info:doi/10.2196/41179,
author="Speiser, Dorothee
and Heibges, Maren
and Besch, Laura
and Hilger, Caren
and Keinert, Marie
and Klein, Katharina
and Rauwolf, Gudrun
and Schmid, Christine
and Schulz-Niethammer, Sven
and Stegen, Steffi
and Westfal, Viola
and Witzel, Isabell
and Zang, Benedikt
and Kendel, Friederike
and Feufel, A. Markus",
title="Paradigmatic Approach to Support Personalized Counseling With Digital Health (iKNOW)",
journal="JMIR Form Res",
year="2023",
month="Apr",
day="21",
volume="7",
pages="e41179",
keywords="hereditary breast and ovarian cancer",
keywords="BRCA",
keywords="genetic counseling",
keywords="digital health",
keywords="online counseling tool",
keywords="user-centered design principles",
keywords="risk communication",
keywords="cancer risk",
keywords="hereditary cancer",
keywords="breast cancer",
keywords="ovarian cancer",
doi="10.2196/41179",
url="https://formative.jmir.org/2023/1/e41179",
url="http://www.ncbi.nlm.nih.gov/pubmed/37083496"
}


@Article{info:doi/10.2196/43009,
author="Shapiro, Martin
and Renly, Sondra
and Maiorano, Ali
and Young, Jerry
and Medina, Eli
and Neinstein, Aaron
and Odisho, Y. Anobel",
title="Digital Health at Enterprise Scale: Evaluation Framework for Selecting Patient-Facing Software in a Digital-First Health System",
journal="JMIR Form Res",
year="2023",
month="Apr",
day="7",
volume="7",
pages="e43009",
keywords="artificial intelligence",
keywords="digital health pathway",
keywords="eHealth",
keywords="enterprise digital health",
keywords="evaluation framework",
keywords="framework",
keywords="healthcare delivery",
keywords="healthcare system",
keywords="intelligent care",
keywords="intelligent system",
keywords="privacy",
keywords="security",
keywords="service delivery",
keywords="systems design",
keywords="telehealth",
keywords="telemedicine",
doi="10.2196/43009",
url="https://formative.jmir.org/2023/1/e43009",
url="http://www.ncbi.nlm.nih.gov/pubmed/37027184"
}


@Article{info:doi/10.2196/40285,
author="Bonn, E. Stephanie
and Alexandrou, Christina
and Trolle Lagerros, Ylva",
title="A Digital Platform and Smartphone App to Increase Physical Activity in Patients With Type 2 Diabetes: Overview Of a Technical Solution",
journal="JMIR Form Res",
year="2023",
month="Mar",
day="14",
volume="7",
pages="e40285",
keywords="methods",
keywords="mHealth",
keywords="mobile app",
keywords="self-management",
keywords="smartphone",
keywords="digital",
keywords="platform",
keywords="physical activity",
keywords="diabetes",
keywords="technical",
keywords="engagement",
keywords="self-care",
keywords="development",
keywords="app",
keywords="walking",
keywords="effective",
abstract="International Registered Report Identifier (IRRID): RR2-10.1186/s12889-018-5026-4 ",
doi="10.2196/40285",
url="https://formative.jmir.org/2023/1/e40285",
url="http://www.ncbi.nlm.nih.gov/pubmed/36917156"
}


@Article{info:doi/10.2196/37784,
author="Smith, Nathan
and Peters, Dorian
and Jay, Caroline
and Sandal, M. Gro
and Barrett, C. Emma
and Wuebker, Robert",
title="Off-World Mental Health: Considerations for the Design of Well-being--Supportive Technologies for Deep Space Exploration",
journal="JMIR Form Res",
year="2023",
month="Feb",
day="14",
volume="7",
pages="e37784",
keywords="long duration space exploration",
keywords="astronaut mental health",
keywords="countermeasures",
keywords="digital design",
keywords="human factors",
keywords="technology",
doi="10.2196/37784",
url="https://formative.jmir.org/2023/1/e37784",
url="http://www.ncbi.nlm.nih.gov/pubmed/36787162"
}


@Article{info:doi/10.2196/38003,
author="Halkides, Heather
and James, G. Tyler
and McKee, M. Michael
and Meade, A. Michelle
and Moran, Christa
and Park, Sophia",
title="Spotlighting Disability in a Major Electronic Health Record: Michigan Medicine's Disability and Accommodations Tab",
journal="JMIR Form Res",
year="2022",
month="Dec",
day="2",
volume="6",
number="12",
pages="e38003",
keywords="patients with disabilities",
keywords="disability accommodations",
keywords="electronic health records",
keywords="patient-centered care",
keywords="Affordable Care Act",
keywords="Americans with Disabilities Act",
keywords="disability",
keywords="disabilities",
keywords="affordable care",
keywords="EHR",
keywords="accommodation",
keywords="minority",
keywords="equity",
keywords="accessibility",
keywords="accessible",
keywords="inclusive",
keywords="inclusivity",
keywords="health care",
keywords="health service",
keywords="environment",
keywords="accommodate",
keywords="reporting",
keywords="data collection",
keywords="barrier",
doi="10.2196/38003",
url="https://formative.jmir.org/2022/12/e38003",
url="http://www.ncbi.nlm.nih.gov/pubmed/36459406"
}


@Article{info:doi/10.2196/36759,
author="Franchini, Filippo
and Kusejko, Katharina
and Marzolini, Catia
and Tellenbach, Christoph
and Rossi, Simona
and Stampf, Susanne
and Koller, Michael
and Stoyanov, Jivko
and M{\"o}ller, Burkhard
and Leichtle, Benedikt Alexander",
title="Collaborative Challenges of Multi-Cohort Projects in Pharmacogenetics---Why Time Is Essential for Meaningful Collaborations",
journal="JMIR Form Res",
year="2022",
month="Sep",
day="29",
volume="6",
number="9",
pages="e36759",
keywords="personalized medicine",
keywords="guidelines",
keywords="ethical, legal, and social implications",
keywords="study",
keywords="ethics",
keywords="multicentric",
doi="10.2196/36759",
url="https://formative.jmir.org/2022/9/e36759",
url="http://www.ncbi.nlm.nih.gov/pubmed/35976179"
}


@Article{info:doi/10.2196/32571,
author="Kaveladze, T. Benjamin
and Young, D. Sean
and Schueller, M. Stephen",
title="Antifragile Behavior Change Through Digital Health Behavior Change Interventions",
journal="JMIR Form Res",
year="2022",
month="Jun",
day="3",
volume="6",
number="6",
pages="e32571",
keywords="digital health behavior change interventions",
keywords="behavior change",
keywords="digital health",
keywords="self-management",
keywords="antifragile",
doi="10.2196/32571",
url="https://formative.jmir.org/2022/6/e32571",
url="http://www.ncbi.nlm.nih.gov/pubmed/35657665"
}


@Article{info:doi/10.2196/34363,
author="Olusanya, A. Olufunto
and White, Brianna
and Melton, A. Chad
and Shaban-Nejad, Arash",
title="Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries",
journal="JMIR Form Res",
year="2022",
month="May",
day="17",
volume="6",
number="5",
pages="e34363",
keywords="COVID-19",
keywords="SARS-CoV-2",
keywords="Africa",
keywords="preparedness",
keywords="response",
keywords="recovery",
keywords="digital health",
keywords="artificial intelligence",
keywords="vaccine equity",
doi="10.2196/34363",
url="https://formative.jmir.org/2022/5/e34363",
url="http://www.ncbi.nlm.nih.gov/pubmed/35512271"
}


@Article{info:doi/10.2196/34284,
author="Kim, HyunJung",
title="The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools",
journal="JMIR Form Res",
year="2022",
month="May",
day="16",
volume="6",
number="5",
pages="e34284",
keywords="biodefense",
keywords="biosurveillance",
keywords="public health",
keywords="health security",
keywords="COVID-19",
keywords="defense",
keywords="surveillance",
keywords="security",
keywords="South Korea",
keywords="information technology",
keywords="digital health",
keywords="pandemic",
keywords="testing",
keywords="tracing",
keywords="treating",
keywords="strategy",
keywords="privacy",
doi="10.2196/34284",
url="https://formative.jmir.org/2022/5/e34284",
url="http://www.ncbi.nlm.nih.gov/pubmed/35442902"
}


@Article{info:doi/10.2196/33970,
author="Harish, B. Keerthi
and Price, Nicholson W.
and Aphinyanaphongs, Yindalon",
title="Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges",
journal="JMIR Form Res",
year="2022",
month="Apr",
day="11",
volume="6",
number="4",
pages="e33970",
keywords="machine learning",
keywords="artificial intelligence",
keywords="medical economics",
keywords="health policy",
keywords="healthcare innovation",
doi="10.2196/33970",
url="https://formative.jmir.org/2022/4/e33970",
url="http://www.ncbi.nlm.nih.gov/pubmed/35404258"
}


@Article{info:doi/10.2196/30055,
author="Tiersma, Keenae
and Reichman, Mira
and Popok, J. Paula
and Nelson, Zoe
and Barry, Maura
and Elwy, Rani A.
and Flores, J. Efr{\'e}n
and Irwin, E. Kelly
and Vranceanu, Ana-Maria",
title="The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic",
journal="JMIR Form Res",
year="2022",
month="Apr",
day="8",
volume="6",
number="4",
pages="e30055",
keywords="web-based research",
keywords="remote research",
keywords="remote data collection",
keywords="blended design",
keywords="electronic data collection",
keywords="mobile phone",
doi="10.2196/30055",
url="https://formative.jmir.org/2022/4/e30055",
url="http://www.ncbi.nlm.nih.gov/pubmed/35394441"
}


@Article{info:doi/10.2196/29535,
author="Rodrigues, M. Sarah
and Kanduri, Anil
and Nyamathi, Adeline
and Dutt, Nikil
and Khargonekar, Pramod
and Rahmani, M. Amir",
title="Digital Health--Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence",
journal="JMIR Form Res",
year="2022",
month="Apr",
day="6",
volume="6",
number="4",
pages="e29535",
keywords="digital health",
keywords="community-centered care",
keywords="community health worker",
keywords="artificial intelligence",
keywords="AI",
keywords="AI-enabled health delivery",
keywords="eHealth",
keywords="individualized delivery",
keywords="interventions",
keywords="collaborative health",
keywords="community health",
keywords="social care",
keywords="digital empowerment",
keywords="mobile phone",
doi="10.2196/29535",
url="https://formative.jmir.org/2022/4/e29535",
url="http://www.ncbi.nlm.nih.gov/pubmed/35384853"
}


@Article{info:doi/10.2196/31342,
author="Dunn, Mimi
and Landman, Adam
and Cartright, Jennifer
and Bane, Anne
and Brogan, Anne
and Coy, Caroline
and Zhang, Haipeng",
title="Notes From the Field: A Voice-Activated Video Communication System for Nurses to Communicate With Inpatients With COVID-19",
journal="JMIR Form Res",
year="2022",
month="Mar",
day="28",
volume="6",
number="3",
pages="e31342",
keywords="Internet of Things",
keywords="IoT",
keywords="voice assistant",
keywords="telehealth",
keywords="hospital systems",
keywords="COVID-19",
keywords="nurses",
keywords="nursing",
keywords="public health",
keywords="virtual care",
doi="10.2196/31342",
url="https://formative.jmir.org/2022/3/e31342",
url="http://www.ncbi.nlm.nih.gov/pubmed/35156929"
}


@Article{info:doi/10.2196/18539,
author="Delanys, Sarah
and Benamara, Farah
and Moriceau, V{\'e}ronique
and Olivier, Fran{\c{c}}ois
and Mothe, Josiane",
title="Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French",
journal="JMIR Form Res",
year="2022",
month="Feb",
day="14",
volume="6",
number="2",
pages="e18539",
keywords="social media analysis",
keywords="psychiatric term use",
keywords="social stigma",
keywords="Twitter",
keywords="social media",
keywords="mental health",
abstract="Background: With the advent of digital technology and specifically user-generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. Objective: Our aim is to study how generic, nosographic, and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has 3 complementary goals: (1) to analyze the types of psychiatric word use (medical, misuse, or irrelevant), (2) to analyze the polarity conveyed in the tweets that use these terms (positive, negative, or neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English). Methods: Our study was conducted on a corpus of tweets in French posted from January 1, 2016, to December 31, 2018, and collected using dedicated keywords. The corpus was manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. A qualitative analysis was performed to measure the reliability of the produced manual annotation, and then a quantitative analysis was performed considering mainly term frequency in each layer and exploring the interactions between them. Results: One of the first results is a resource as an annotated dataset. The initial dataset is composed of  22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3040 tweets that corresponded to the resource resulting from our work. The second result is the analysis of the annotations showing that terms are misused in 45.33\% (1378/3040) of the tweets and that their associated polarity is negative in 86.21\% (1188/1378) of the cases. When considering the 3 types of term use, 52.14\% (1585/3040) of the tweets are associated with a negative polarity. Misused terms related to psychotic disorders (721/1300, 55.46\%) were more frequent to those related to depression (15/280, 5.4\%). Conclusions: Some psychiatric terms are misused in the corpora we studied, which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks that are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media. ",
doi="10.2196/18539",
url="https://formative.jmir.org/2022/2/e18539",
url="http://www.ncbi.nlm.nih.gov/pubmed/35156925"
}


@Article{info:doi/10.2196/29333,
author="Haitjema, Saskia
and Prescott, R. Timothy
and van Solinge, W. Wouter",
title="The Applied Data Analytics in Medicine Program: Lessons Learned From Four Years' Experience With Personalizing Health Care in an Academic Teaching Hospital",
journal="JMIR Form Res",
year="2022",
month="Jan",
day="28",
volume="6",
number="1",
pages="e29333",
keywords="digital health",
keywords="data-driven care",
keywords="multidisciplinarity",
keywords="lessons learned",
keywords="eHealth",
keywords="personalized medicine",
keywords="data analytics",
keywords="implementation",
keywords="collaboration",
keywords="hospital",
doi="10.2196/29333",
url="https://formative.jmir.org/2022/1/e29333",
url="http://www.ncbi.nlm.nih.gov/pubmed/35089145"
}


@Article{info:doi/10.2196/27968,
author="Nguyen, Huy Ngoc
and Nguyen, Quang An
and Ha, Bich Van Thi
and Duong, Xuan Phuong
and Nguyen, Van Thong",
title="Using Emerging Telehealth Technology as a Future Model in Vietnam During the COVID-19 Pandemic: Practical Experience From Phutho General Hospital",
journal="JMIR Form Res",
year="2021",
month="Jun",
day="22",
volume="5",
number="6",
pages="e27968",
keywords="telehealth",
keywords="telemedicine",
keywords="teleconsultation",
keywords="COVID-19",
keywords="Vietnam",
keywords="digital health",
keywords="pandemic",
doi="10.2196/27968",
url="https://formative.jmir.org/2021/6/e27968",
url="http://www.ncbi.nlm.nih.gov/pubmed/34078590"
}


@Article{info:doi/10.2196/17456,
author="Zegers, L. Catharina M.
and Witteveen, Annemieke
and Schulte, J. Mieke H.
and Henrich, F. Julia
and Vermeij, Anouk
and Klever, Brigit
and Dekker, Andre",
title="Mind Your Data: Privacy and Legal Matters in eHealth",
journal="JMIR Form Res",
year="2021",
month="Mar",
day="17",
volume="5",
number="3",
pages="e17456",
keywords="data",
keywords="privacy",
keywords="eHealth",
doi="10.2196/17456",
url="https://formative.jmir.org/2021/3/e17456",
url="http://www.ncbi.nlm.nih.gov/pubmed/33729163"
}


@Article{info:doi/10.2196/26718,
author="Dron, Louis
and Dillman, Alison
and Zoratti, J. Michael
and Haggstrom, Jonas
and Mills, J. Edward
and Park, H. Jay J.",
title="Clinical Trial Data Sharing for COVID-19--Related Research",
journal="J Med Internet Res",
year="2021",
month="Mar",
day="12",
volume="23",
number="3",
pages="e26718",
keywords="COVID-19",
keywords="data-sharing",
keywords="clinical trials",
keywords="data",
keywords="research",
keywords="privacy",
keywords="security",
keywords="registry",
keywords="feasibility",
keywords="challenge",
keywords="recruitment",
keywords="error",
keywords="bias",
keywords="assessment",
keywords="interoperability",
keywords="dataset",
keywords="intervention",
keywords="cooperation",
doi="10.2196/26718",
url="https://www.jmir.org/2021/3/e26718",
url="http://www.ncbi.nlm.nih.gov/pubmed/33684053"
}


@Article{info:doi/10.2196/22581,
author="Phiri, Peter
and Delanerolle, Gayathri
and Al-Sudani, Ayaat
and Rathod, Shanaya",
title="COVID-19 and Black, Asian, and Minority Ethnic Communities: A Complex Relationship Without Just Cause",
journal="JMIR Public Health Surveill",
year="2021",
month="Feb",
day="1",
volume="7",
number="2",
pages="e22581",
keywords="BAME",
keywords="COVID-19",
keywords="ethnicity",
keywords="health care professionals",
keywords="health care worker",
keywords="impact",
keywords="inequalities",
keywords="minority",
keywords="risk",
doi="10.2196/22581",
url="https://publichealth.jmir.org/2021/2/e22581",
url="http://www.ncbi.nlm.nih.gov/pubmed/33481752"
}


@Article{info:doi/10.2196/17429,
author="Held, Philip
and Boley, A. Randy
and Faig, G. Walter
and O'Toole, A. John
and Desai, Imran
and Zalta, K. Alyson
and Khan, Jawad
and Sims, Shannon
and Brennan, B. Michael
and Van Horn, Rebecca
and Glover, C. Angela
and Hota, N. Bala
and Patty, D. Brian
and Rab, Shafiq S.
and Pollack, H. Mark
and Karnik, S. Niranjan",
title="The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records",
journal="JMIR Form Res",
year="2020",
month="Apr",
day="6",
volume="4",
number="4",
pages="e17429",
keywords="electronic health record",
keywords="data collection",
keywords="veterans",
doi="10.2196/17429",
url="https://formative.jmir.org/2020/4/e17429",
url="http://www.ncbi.nlm.nih.gov/pubmed/32250276"
}