TY - JOUR AU - Shu, Sara AU - Woo, P. Benjamin K. PY - 2025/4/28 TI - Applications of Self-Driving Vehicles in an Aging Population JO - JMIR Form Res SP - e66180 VL - 9 KW - self-driving KW - driverless KW - driver KW - autonomous vehicles KW - car KW - transportation KW - mobility KW - travel KW - vehicle KW - driving KW - artificial intelligence KW - gerontology KW - geriatric KW - older KW - elderly KW - aging KW - healthy aging KW - older adult KW - autonomy KW - independence KW - aging in place KW - health equity UR - https://formative.jmir.org/2025/1/e66180 UR - http://dx.doi.org/10.2196/66180 ID - info:doi/10.2196/66180 ER - TY - JOUR AU - Balki, Eric PY - 2025/4/7 TI - Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern? JO - JMIR Form Res SP - e70594 VL - 9 KW - dating apps KW - mental health KW - men KW - algorithm KW - anxiety KW - depression KW - loneliness UR - https://formative.jmir.org/2025/1/e70594 UR - http://dx.doi.org/10.2196/70594 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/70594 ER - TY - JOUR AU - Kotera, Yasuhiro AU - Daryanani, Riddhi AU - Skipper, Oliver AU - Simpson, Jonathan AU - Takhi, Simran AU - McPhilbin, Merly AU - Ingall, Benjamin-Rose AU - Namasaba, Mariam AU - Jepps, Jessica AU - Kellermann, Vanessa AU - Bhandari, Divya AU - Ojio, Yasutaka AU - Ronaldson, Amy AU - Guerrero, Estefania AU - Jebara, Tesnime AU - Henderson, Claire AU - Slade, Mike AU - Vilar-Lluch, Sara PY - 2025/2/21 TI - Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research JO - JMIR Form Res SP - e64087 VL - 9 KW - critical discourse analysis KW - cross-cultural mental health recovery research KW - linguistic analysis KW - social inequality KW - mental health KW - recovery research KW - language KW - social inequalities KW - qualitative analytical approach KW - linguistic expressions KW - discourse KW - analysis KW - framework KW - inequalities KW - CDA UR - https://formative.jmir.org/2025/1/e64087 UR - http://dx.doi.org/10.2196/64087 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/64087 ER - TY - JOUR AU - Iyer, S. Maya AU - Moe, Aubrey AU - Massick, Susan AU - Davis, Jessica AU - Ballinger, Megan AU - Townsend, Kristy PY - 2025/1/23 TI - Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: ?We Built the Airplane While Flying It? JO - JMIR Form Res SP - e65561 VL - 9 KW - collaborative KW - gender equity KW - women in medicine KW - women in science KW - biomedical science KW - women KW - women+ KW - gender KW - medicine KW - university KW - faculty KW - accessibility KW - career KW - equity KW - networking KW - opportunity KW - retaining KW - programming KW - Big Ten Academic Alliance KW - BTAA KW - academic alliance UR - https://formative.jmir.org/2025/1/e65561 UR - http://dx.doi.org/10.2196/65561 ID - info:doi/10.2196/65561 ER - TY - JOUR AU - Kim, JaeYong AU - Vajravelu, Narayan Bathri PY - 2025/1/16 TI - Assessing the Current Limitations of Large Language Models in Advancing Health Care Education JO - JMIR Form Res SP - e51319 VL - 9 KW - large language model KW - generative pretrained transformer KW - health care education KW - health care delivery KW - artificial intelligence KW - LLM KW - ChatGPT KW - AI UR - https://formative.jmir.org/2025/1/e51319 UR - http://dx.doi.org/10.2196/51319 ID - info:doi/10.2196/51319 ER - TY - JOUR AU - Powell, Daniel AU - Asad, Laiba AU - Zavaglia, Elissa AU - Ferrari, Manuela PY - 2025/1/3 TI - Promoting Digital Health Data Literacy: The Datum Project JO - JMIR Form Res SP - e60832 VL - 9 KW - health data KW - digital data KW - medical records KW - legislation KW - ethics KW - knowledge dissemination KW - learning health system KW - data bank UR - https://formative.jmir.org/2025/1/e60832 UR - http://dx.doi.org/10.2196/60832 ID - info:doi/10.2196/60832 ER - TY - JOUR AU - Bouchacourt, Lindsay AU - Smith, Sarah AU - Mackert, Michael AU - Almalki, Shoaa AU - Awad, Germine AU - Barczyk, Amanda AU - Bearman, Kate Sarah AU - Castelli, Darla AU - Champagne, Frances AU - de Barbaro, Kaya AU - Garcia, Shirene AU - Johnson, Karen AU - Kinney, Kerry AU - Lawson, Karla AU - Nagy, Zoltan AU - Quiñones Camacho, Laura AU - Rodríguez, Lourdes AU - Schnyer, David AU - Thomaz, Edison AU - Upshaw, Sean AU - Zhang, Yan PY - 2024/12/5 TI - Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study JO - JMIR Form Res SP - e60368 VL - 8 KW - community-based KW - longitudinal KW - health disparities KW - cohort study KW - case study KW - family health KW - child KW - children KW - families KW - child development KW - mobile phone UR - https://formative.jmir.org/2024/1/e60368 UR - http://dx.doi.org/10.2196/60368 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/60368 ER - TY - JOUR AU - Bouguettaya, Ayoub AU - Aboujaoude, Elias PY - 2024/11/4 TI - Using Extended Reality to Enhance Effectiveness and Group Identification in Remote Group Therapy for Anxiety Disorders: A Critical Analysis JO - JMIR Form Res SP - e64494 VL - 8 KW - group therapy KW - psychotherapy KW - telepsychiatry KW - mental health KW - extended reality KW - augmented reality KW - virtual reality therapy KW - anxiety KW - cognitive behavioral therapy UR - https://formative.jmir.org/2024/1/e64494 UR - http://dx.doi.org/10.2196/64494 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/64494 ER - TY - JOUR AU - Wegener, Kauffeldt Emilie AU - Bergschöld, M. Jenny AU - Bergh, Sverre AU - van Berlo, Ad AU - Schmidt, Wong Camilla AU - Konidari, Afroditi AU - Kayser, Lars PY - 2024/10/21 TI - Considerations When Designing Inclusive Digital Health Solutions for Older Adults Living With Frailty or Impairments JO - JMIR Form Res SP - e63832 VL - 8 KW - digital health services KW - frameworks KW - sociotechnical ecosystem KW - older adults KW - co-design UR - https://formative.jmir.org/2024/1/e63832 UR - http://dx.doi.org/10.2196/63832 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/63832 ER - TY - JOUR AU - Berglund, Aseel AU - Jaarsma, Tiny AU - Orädd, Helena AU - Fallström, Johan AU - Strömberg, Anna AU - Klompstra, Leonie AU - Berglund, Erik PY - 2024/8/7 TI - The Application of a Serious Game Framework to Design and Develop an Exergame for Patients With Heart Failure JO - JMIR Form Res SP - e50063 VL - 8 KW - mobile health apps KW - physical activity KW - exergames KW - player-centered design KW - heart failure KW - human-computer interaction KW - mobile phone UR - https://formative.jmir.org/2024/1/e50063 UR - http://dx.doi.org/10.2196/50063 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/50063 ER - TY - JOUR AU - Aoki, Nozomi AU - Miyagami, Taiju AU - Saita, Mizue AU - Naito, Toshio PY - 2024/3/29 TI - AI Analysis of General Medicine in Japan: Present and Future Considerations JO - JMIR Form Res SP - e52566 VL - 8 KW - artificial intelligence KW - physicians KW - hospitalists KW - polypharmacy KW - sexism KW - Japan KW - AI KW - medicine KW - gender-biased KW - physician KW - medical care KW - gender KW - women KW - Pharmacology KW - older adults KW - geriatric KW - elderly KW - Japanese UR - https://formative.jmir.org/2024/1/e52566 UR - http://dx.doi.org/10.2196/52566 UR - http://www.ncbi.nlm.nih.gov/pubmed/38551640 ID - info:doi/10.2196/52566 ER - TY - JOUR AU - Narayan, Aditya AU - Weng, Kydo AU - Shah, Nirav PY - 2024/3/27 TI - Decentralizing Health Care: History and Opportunities of Web3 JO - JMIR Form Res SP - e52740 VL - 8 KW - Web3 KW - health care KW - patient-centric KW - data ownership KW - decentralization KW - interoperability KW - electronic health record (EHR) KW - privacy KW - blockchain KW - digital transformation KW - digital health care KW - digital health KW - patient KW - patients KW - technological framework KW - security and privacy KW - security UR - https://formative.jmir.org/2024/1/e52740 UR - http://dx.doi.org/10.2196/52740 UR - http://www.ncbi.nlm.nih.gov/pubmed/38536235 ID - info:doi/10.2196/52740 ER - TY - JOUR AU - Kazemi, Alireza AU - Boyd, Marisha AU - Choi, Fiona AU - Tai, Yeung Andy Man AU - Tsang, WL Vivian AU - To, Tam AU - Kim, Jane AU - Jang, Kerry AU - Shams, Farhud AU - Schreiter, Stefanie AU - Cabanis, Maurice AU - Krausz, Michael Reinhard PY - 2024/3/11 TI - Architecture and Development Framework for a Web-Based Risk Assessment and Management Platform Developed on WordPress to Address Opioid Overdose JO - JMIR Form Res SP - e49759 VL - 8 KW - software designs KW - risks management KW - risk assessments KW - opioid overdose KW - crisis intervention KW - substance related disorders UR - https://formative.jmir.org/2024/1/e49759 UR - http://dx.doi.org/10.2196/49759 UR - http://www.ncbi.nlm.nih.gov/pubmed/38466977 ID - info:doi/10.2196/49759 ER - TY - JOUR AU - John, Alby AU - M, Jagadeesan AU - Rubeshkumar, Polani AU - Ganeshkumar, Parasuraman AU - Masanam Sriramulu, Hemalatha AU - Narnaware, Manish AU - Singh Bedi, Gagandeep AU - Kaur, Prabhdeep PY - 2023/12/18 TI - Implementation of a Triage Protocol Outside the Hospital Setting for Timely Referral During the COVID-19 Second Wave in Chennai, India JO - JMIR Form Res SP - e42798 VL - 7 KW - COVID-19 KW - triage KW - low- and middle-income countries KW - LMIC KW - India KW - pulse oximeter KW - implementation KW - health care system KW - self-management KW - patient care KW - community health KW - low income KW - health disparity KW - low-resource setting UR - https://formative.jmir.org/2023/1/e42798 UR - http://dx.doi.org/10.2196/42798 UR - http://www.ncbi.nlm.nih.gov/pubmed/37235721 ID - info:doi/10.2196/42798 ER - TY - JOUR AU - Srivastava, Ujwal AU - Dasari, Shobha AU - Shah, Neha PY - 2023/11/28 TI - Learnings in Digital Health Design: Insights From a Pilot Web App for Structured Note-Taking for Patients With Rheumatoid Arthritis JO - JMIR Form Res SP - e49358 VL - 7 KW - digital health KW - biodesign KW - technology KW - software KW - web app KW - codesign KW - patient empowerment KW - note-taking KW - medical information KW - web application KW - web-based KW - technology engagement N2 - 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. UR - https://formative.jmir.org/2023/1/e49358 UR - http://dx.doi.org/10.2196/49358 UR - http://www.ncbi.nlm.nih.gov/pubmed/38015609 ID - info:doi/10.2196/49358 ER - TY - JOUR AU - Crespo-Martinez, Esteban AU - Bueno, Salvador AU - Gallego, Dolores M. PY - 2023/10/11 TI - A Video Game for Entrepreneurship Learning in Ecuador: Development Study JO - JMIR Form Res SP - e49263 VL - 7 KW - video game KW - computer game KW - serious game KW - Unity 3D platform KW - entrepreneurship KW - business simulator N2 - 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. UR - https://formative.jmir.org/2023/1/e49263 UR - http://dx.doi.org/10.2196/49263 UR - http://www.ncbi.nlm.nih.gov/pubmed/37819700 ID - info:doi/10.2196/49263 ER - TY - JOUR AU - Thomas, Verghese AU - Kalidindi, Bharat AU - Waghmare, Abijeet AU - Bhatia, Abhishek AU - Raj, Tony AU - Balsari, Satchit PY - 2023/10/2 TI - The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems JO - JMIR Form Res SP - e45250 VL - 7 KW - community health workers KW - digital health KW - focus group discussions KW - health care workers KW - human centered design KW - key informant interviews KW - LMICs KW - low- and middle-income countries KW - mHealth KW - mobile health KW - qualitative research N2 - 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. UR - https://formative.jmir.org/2023/1/e45250 UR - http://dx.doi.org/10.2196/45250 UR - http://www.ncbi.nlm.nih.gov/pubmed/37607881 ID - info:doi/10.2196/45250 ER - TY - JOUR AU - Khanna, Amit AU - Jones, Graham PY - 2023/9/27 TI - Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies JO - JMIR Form Res SP - e47486 VL - 7 KW - digital health KW - monitoring KW - personalized medicine KW - Parkinson disease KW - wearables KW - neurodegenerative disorder KW - cognitive impairment KW - economic burden KW - digital technology KW - symptom management KW - disease control KW - debilitating disease KW - intervention UR - https://formative.jmir.org/2023/1/e47486 UR - http://dx.doi.org/10.2196/47486 UR - http://www.ncbi.nlm.nih.gov/pubmed/37756050 ID - info:doi/10.2196/47486 ER - TY - JOUR AU - An, Qingfan AU - Kelley, M. Marjorie AU - Hanners, Audra AU - Yen, Po-Yin PY - 2023/8/25 TI - Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process JO - JMIR Form Res SP - e45694 VL - 7 KW - mHealth KW - mobile health KW - apps KW - human-centered design KW - sociotechnical KW - sustainability KW - mobile technology KW - speculative design KW - mobile phone UR - https://formative.jmir.org/2023/1/e45694 UR - http://dx.doi.org/10.2196/45694 UR - http://www.ncbi.nlm.nih.gov/pubmed/37624639 ID - info:doi/10.2196/45694 ER - TY - JOUR AU - Sheehan, Maria Orla AU - Greene, Anthony Richard AU - McKernan, Joye AU - Murphy, Brendan AU - Cahill, Caroline AU - Cleary, Brian AU - Lawlor, Fiona AU - Robson, Michael AU - PY - 2023/5/12 TI - Introduction of a Single Electronic Health Record for Maternity Units in Ireland: Outline of the Experiences of the Project Management Team JO - JMIR Form Res SP - e38938 VL - 7 KW - baby KW - babies KW - data management KW - data quality KW - electronic health record KW - health management KW - implementation KW - information management KW - Ireland KW - lessons learned KW - management system KW - maternity KW - maternal KW - mother KW - newborn KW - optimization KW - planning KW - pregnant KW - pregnancy KW - project management UR - https://formative.jmir.org/2023/1/e38938 UR - http://dx.doi.org/10.2196/38938 UR - http://www.ncbi.nlm.nih.gov/pubmed/37171841 ID - info:doi/10.2196/38938 ER - TY - JOUR AU - Li, Rui AU - Shen, Mingwang AU - Liu, Hanting AU - Bai, Lu AU - Zhang, Lei PY - 2023/5/3 TI - Do Infrared Thermometers Hold Promise for an Effective Early Warning System for Emerging Respiratory Infectious Diseases? JO - JMIR Form Res SP - e42548 VL - 7 KW - respiratory infectious diseases KW - early warning KW - infrared thermometer KW - theoretical framework KW - economic burden KW - outbreak prevention KW - warning system KW - community health KW - infectious disease KW - smartphone device KW - digital health surveillance N2 - 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. UR - https://formative.jmir.org/2023/1/e42548 UR - http://dx.doi.org/10.2196/42548 UR - http://www.ncbi.nlm.nih.gov/pubmed/37133929 ID - info:doi/10.2196/42548 ER - TY - JOUR AU - Speiser, Dorothee AU - Heibges, Maren AU - Besch, Laura AU - Hilger, Caren AU - Keinert, Marie AU - Klein, Katharina AU - Rauwolf, Gudrun AU - Schmid, Christine AU - Schulz-Niethammer, Sven AU - Stegen, Steffi AU - Westfal, Viola AU - Witzel, Isabell AU - Zang, Benedikt AU - Kendel, Friederike AU - Feufel, A. Markus PY - 2023/4/21 TI - Paradigmatic Approach to Support Personalized Counseling With Digital Health (iKNOW) JO - JMIR Form Res SP - e41179 VL - 7 KW - hereditary breast and ovarian cancer KW - BRCA KW - genetic counseling KW - digital health KW - online counseling tool KW - user-centered design principles KW - risk communication KW - cancer risk KW - hereditary cancer KW - breast cancer KW - ovarian cancer UR - https://formative.jmir.org/2023/1/e41179 UR - http://dx.doi.org/10.2196/41179 UR - http://www.ncbi.nlm.nih.gov/pubmed/37083496 ID - info:doi/10.2196/41179 ER - TY - JOUR AU - Shapiro, Martin AU - Renly, Sondra AU - Maiorano, Ali AU - Young, Jerry AU - Medina, Eli AU - Neinstein, Aaron AU - Odisho, Y. Anobel PY - 2023/4/7 TI - Digital Health at Enterprise Scale: Evaluation Framework for Selecting Patient-Facing Software in a Digital-First Health System JO - JMIR Form Res SP - e43009 VL - 7 KW - artificial intelligence KW - digital health pathway KW - eHealth KW - enterprise digital health KW - evaluation framework KW - framework KW - healthcare delivery KW - healthcare system KW - intelligent care KW - intelligent system KW - privacy KW - security KW - service delivery KW - systems design KW - telehealth KW - telemedicine UR - https://formative.jmir.org/2023/1/e43009 UR - http://dx.doi.org/10.2196/43009 UR - http://www.ncbi.nlm.nih.gov/pubmed/37027184 ID - info:doi/10.2196/43009 ER - TY - JOUR AU - Bonn, E. Stephanie AU - Alexandrou, Christina AU - Trolle Lagerros, Ylva PY - 2023/3/14 TI - A Digital Platform and Smartphone App to Increase Physical Activity in Patients With Type 2 Diabetes: Overview Of a Technical Solution JO - JMIR Form Res SP - e40285 VL - 7 KW - methods KW - mHealth KW - mobile app KW - self-management KW - smartphone KW - digital KW - platform KW - physical activity KW - diabetes KW - technical KW - engagement KW - self-care KW - development KW - app KW - walking KW - effective N2 - International Registered Report Identifier (IRRID): RR2-10.1186/s12889-018-5026-4 UR - https://formative.jmir.org/2023/1/e40285 UR - http://dx.doi.org/10.2196/40285 UR - http://www.ncbi.nlm.nih.gov/pubmed/36917156 ID - info:doi/10.2196/40285 ER - TY - JOUR AU - Smith, Nathan AU - Peters, Dorian AU - Jay, Caroline AU - Sandal, M. Gro AU - Barrett, C. Emma AU - Wuebker, Robert PY - 2023/2/14 TI - Off-World Mental Health: Considerations for the Design of Well-being?Supportive Technologies for Deep Space Exploration JO - JMIR Form Res SP - e37784 VL - 7 KW - long duration space exploration KW - astronaut mental health KW - countermeasures KW - digital design KW - human factors KW - technology UR - https://formative.jmir.org/2023/1/e37784 UR - http://dx.doi.org/10.2196/37784 UR - http://www.ncbi.nlm.nih.gov/pubmed/36787162 ID - info:doi/10.2196/37784 ER - TY - JOUR AU - Halkides, Heather AU - James, G. Tyler AU - McKee, M. Michael AU - Meade, A. Michelle AU - Moran, Christa AU - Park, Sophia PY - 2022/12/2 TI - Spotlighting Disability in a Major Electronic Health Record: Michigan Medicine?s Disability and Accommodations Tab JO - JMIR Form Res SP - e38003 VL - 6 IS - 12 KW - patients with disabilities KW - disability accommodations KW - electronic health records KW - patient-centered care KW - Affordable Care Act KW - Americans with Disabilities Act KW - disability KW - disabilities KW - affordable care KW - EHR KW - accommodation KW - minority KW - equity KW - accessibility KW - accessible KW - inclusive KW - inclusivity KW - health care KW - health service KW - environment KW - accommodate KW - reporting KW - data collection KW - barrier UR - https://formative.jmir.org/2022/12/e38003 UR - http://dx.doi.org/10.2196/38003 UR - http://www.ncbi.nlm.nih.gov/pubmed/36459406 ID - info:doi/10.2196/38003 ER - TY - JOUR AU - Franchini, Filippo AU - Kusejko, Katharina AU - Marzolini, Catia AU - Tellenbach, Christoph AU - Rossi, Simona AU - Stampf, Susanne AU - Koller, Michael AU - Stoyanov, Jivko AU - Möller, Burkhard AU - Leichtle, Benedikt Alexander PY - 2022/9/29 TI - Collaborative Challenges of Multi-Cohort Projects in Pharmacogenetics?Why Time Is Essential for Meaningful Collaborations JO - JMIR Form Res SP - e36759 VL - 6 IS - 9 KW - personalized medicine KW - guidelines KW - ethical, legal, and social implications KW - study KW - ethics KW - multicentric UR - https://formative.jmir.org/2022/9/e36759 UR - http://dx.doi.org/10.2196/36759 UR - http://www.ncbi.nlm.nih.gov/pubmed/35976179 ID - info:doi/10.2196/36759 ER - TY - JOUR AU - Kaveladze, T. Benjamin AU - Young, D. Sean AU - Schueller, M. Stephen PY - 2022/6/3 TI - Antifragile Behavior Change Through Digital Health Behavior Change Interventions JO - JMIR Form Res SP - e32571 VL - 6 IS - 6 KW - digital health behavior change interventions KW - behavior change KW - digital health KW - self-management KW - antifragile UR - https://formative.jmir.org/2022/6/e32571 UR - http://dx.doi.org/10.2196/32571 UR - http://www.ncbi.nlm.nih.gov/pubmed/35657665 ID - info:doi/10.2196/32571 ER - TY - JOUR AU - Olusanya, A. Olufunto AU - White, Brianna AU - Melton, A. Chad AU - Shaban-Nejad, Arash PY - 2022/5/17 TI - Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries JO - JMIR Form Res SP - e34363 VL - 6 IS - 5 KW - COVID-19 KW - SARS-CoV-2 KW - Africa KW - preparedness KW - response KW - recovery KW - digital health KW - artificial intelligence KW - vaccine equity UR - https://formative.jmir.org/2022/5/e34363 UR - http://dx.doi.org/10.2196/34363 UR - http://www.ncbi.nlm.nih.gov/pubmed/35512271 ID - info:doi/10.2196/34363 ER - TY - JOUR AU - Kim, HyunJung PY - 2022/5/16 TI - The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools JO - JMIR Form Res SP - e34284 VL - 6 IS - 5 KW - biodefense KW - biosurveillance KW - public health KW - health security KW - COVID-19 KW - defense KW - surveillance KW - security KW - South Korea KW - information technology KW - digital health KW - pandemic KW - testing KW - tracing KW - treating KW - strategy KW - privacy UR - https://formative.jmir.org/2022/5/e34284 UR - http://dx.doi.org/10.2196/34284 UR - http://www.ncbi.nlm.nih.gov/pubmed/35442902 ID - info:doi/10.2196/34284 ER - TY - JOUR AU - Harish, B. Keerthi AU - Price, Nicholson W. AU - Aphinyanaphongs, Yindalon PY - 2022/4/11 TI - Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges JO - JMIR Form Res SP - e33970 VL - 6 IS - 4 KW - machine learning KW - artificial intelligence KW - medical economics KW - health policy KW - healthcare innovation UR - https://formative.jmir.org/2022/4/e33970 UR - http://dx.doi.org/10.2196/33970 UR - http://www.ncbi.nlm.nih.gov/pubmed/35404258 ID - info:doi/10.2196/33970 ER - TY - JOUR AU - Tiersma, Keenae AU - Reichman, Mira AU - Popok, J. Paula AU - Nelson, Zoe AU - Barry, Maura AU - Elwy, Rani A. AU - Flores, J. Efrén AU - Irwin, E. Kelly AU - Vranceanu, Ana-Maria PY - 2022/4/8 TI - The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic JO - JMIR Form Res SP - e30055 VL - 6 IS - 4 KW - web-based research KW - remote research KW - remote data collection KW - blended design KW - electronic data collection KW - mobile phone UR - https://formative.jmir.org/2022/4/e30055 UR - http://dx.doi.org/10.2196/30055 UR - http://www.ncbi.nlm.nih.gov/pubmed/35394441 ID - info:doi/10.2196/30055 ER - TY - JOUR AU - Rodrigues, M. Sarah AU - Kanduri, Anil AU - Nyamathi, Adeline AU - Dutt, Nikil AU - Khargonekar, Pramod AU - Rahmani, M. Amir PY - 2022/4/6 TI - Digital Health?Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence JO - JMIR Form Res SP - e29535 VL - 6 IS - 4 KW - digital health KW - community-centered care KW - community health worker KW - artificial intelligence KW - AI KW - AI-enabled health delivery KW - eHealth KW - individualized delivery KW - interventions KW - collaborative health KW - community health KW - social care KW - digital empowerment KW - mobile phone UR - https://formative.jmir.org/2022/4/e29535 UR - http://dx.doi.org/10.2196/29535 UR - http://www.ncbi.nlm.nih.gov/pubmed/35384853 ID - info:doi/10.2196/29535 ER - TY - JOUR AU - Dunn, Mimi AU - Landman, Adam AU - Cartright, Jennifer AU - Bane, Anne AU - Brogan, Anne AU - Coy, Caroline AU - Zhang, Haipeng PY - 2022/3/28 TI - Notes From the Field: A Voice-Activated Video Communication System for Nurses to Communicate With Inpatients With COVID-19 JO - JMIR Form Res SP - e31342 VL - 6 IS - 3 KW - Internet of Things KW - IoT KW - voice assistant KW - telehealth KW - hospital systems KW - COVID-19 KW - nurses KW - nursing KW - public health KW - virtual care UR - https://formative.jmir.org/2022/3/e31342 UR - http://dx.doi.org/10.2196/31342 UR - http://www.ncbi.nlm.nih.gov/pubmed/35156929 ID - info:doi/10.2196/31342 ER - TY - JOUR AU - Delanys, Sarah AU - Benamara, Farah AU - Moriceau, Véronique AU - Olivier, François AU - Mothe, Josiane PY - 2022/2/14 TI - Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French JO - JMIR Form Res SP - e18539 VL - 6 IS - 2 KW - social media analysis KW - psychiatric term use KW - social stigma KW - Twitter KW - social media KW - mental health N2 - 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. UR - https://formative.jmir.org/2022/2/e18539 UR - http://dx.doi.org/10.2196/18539 UR - http://www.ncbi.nlm.nih.gov/pubmed/35156925 ID - info:doi/10.2196/18539 ER - TY - JOUR AU - Haitjema, Saskia AU - Prescott, R. Timothy AU - van Solinge, W. Wouter PY - 2022/1/28 TI - The Applied Data Analytics in Medicine Program: Lessons Learned From Four Years? Experience With Personalizing Health Care in an Academic Teaching Hospital JO - JMIR Form Res SP - e29333 VL - 6 IS - 1 KW - digital health KW - data-driven care KW - multidisciplinarity KW - lessons learned KW - eHealth KW - personalized medicine KW - data analytics KW - implementation KW - collaboration KW - hospital UR - https://formative.jmir.org/2022/1/e29333 UR - http://dx.doi.org/10.2196/29333 UR - http://www.ncbi.nlm.nih.gov/pubmed/35089145 ID - info:doi/10.2196/29333 ER - TY - JOUR AU - Nguyen, Huy Ngoc AU - Nguyen, Quang An AU - Ha, Bich Van Thi AU - Duong, Xuan Phuong AU - Nguyen, Van Thong PY - 2021/6/22 TI - Using Emerging Telehealth Technology as a Future Model in Vietnam During the COVID-19 Pandemic: Practical Experience From Phutho General Hospital JO - JMIR Form Res SP - e27968 VL - 5 IS - 6 KW - telehealth KW - telemedicine KW - teleconsultation KW - COVID-19 KW - Vietnam KW - digital health KW - pandemic UR - https://formative.jmir.org/2021/6/e27968 UR - http://dx.doi.org/10.2196/27968 UR - http://www.ncbi.nlm.nih.gov/pubmed/34078590 ID - info:doi/10.2196/27968 ER - TY - JOUR AU - Zegers, L. Catharina M. AU - Witteveen, Annemieke AU - Schulte, J. Mieke H. AU - Henrich, F. Julia AU - Vermeij, Anouk AU - Klever, Brigit AU - Dekker, Andre PY - 2021/3/17 TI - Mind Your Data: Privacy and Legal Matters in eHealth JO - JMIR Form Res SP - e17456 VL - 5 IS - 3 KW - data KW - privacy KW - eHealth UR - https://formative.jmir.org/2021/3/e17456 UR - http://dx.doi.org/10.2196/17456 UR - http://www.ncbi.nlm.nih.gov/pubmed/33729163 ID - info:doi/10.2196/17456 ER - TY - JOUR AU - Dron, Louis AU - Dillman, Alison AU - Zoratti, J. Michael AU - Haggstrom, Jonas AU - Mills, J. Edward AU - Park, H. Jay J. PY - 2021/3/12 TI - Clinical Trial Data Sharing for COVID-19?Related Research JO - J Med Internet Res SP - e26718 VL - 23 IS - 3 KW - COVID-19 KW - data-sharing KW - clinical trials KW - data KW - research KW - privacy KW - security KW - registry KW - feasibility KW - challenge KW - recruitment KW - error KW - bias KW - assessment KW - interoperability KW - dataset KW - intervention KW - cooperation UR - https://www.jmir.org/2021/3/e26718 UR - http://dx.doi.org/10.2196/26718 UR - http://www.ncbi.nlm.nih.gov/pubmed/33684053 ID - info:doi/10.2196/26718 ER - TY - JOUR AU - Phiri, Peter AU - Delanerolle, Gayathri AU - Al-Sudani, Ayaat AU - Rathod, Shanaya PY - 2021/2/1 TI - COVID-19 and Black, Asian, and Minority Ethnic Communities: A Complex Relationship Without Just Cause JO - JMIR Public Health Surveill SP - e22581 VL - 7 IS - 2 KW - BAME KW - COVID-19 KW - ethnicity KW - health care professionals KW - health care worker KW - impact KW - inequalities KW - minority KW - risk UR - https://publichealth.jmir.org/2021/2/e22581 UR - http://dx.doi.org/10.2196/22581 UR - http://www.ncbi.nlm.nih.gov/pubmed/33481752 ID - info:doi/10.2196/22581 ER - TY - JOUR AU - Held, Philip AU - Boley, A. Randy AU - Faig, G. Walter AU - O'Toole, A. John AU - Desai, Imran AU - Zalta, K. Alyson AU - Khan, Jawad AU - Sims, Shannon AU - Brennan, B. Michael AU - Van Horn, Rebecca AU - Glover, C. Angela AU - Hota, N. Bala AU - Patty, D. Brian AU - Rab, Shafiq S. AU - Pollack, H. Mark AU - Karnik, S. Niranjan PY - 2020/4/6 TI - The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records JO - JMIR Form Res SP - e17429 VL - 4 IS - 4 KW - electronic health record KW - data collection KW - veterans UR - https://formative.jmir.org/2020/4/e17429 UR - http://dx.doi.org/10.2196/17429 UR - http://www.ncbi.nlm.nih.gov/pubmed/32250276 ID - info:doi/10.2196/17429 ER -