%0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e72565 %T Authors’ Reply: Addressing the Digital Divide Among the Older Population Presents a Substantial Challenge %A Kannan,Lakshmi %A Bhatt,Tanvi %+ Department of Physical Therapy, University of Illinois Chicago, 1919 W Taylor Street, Room 415, Chicago, IL, 60612, United States, 1 3123554443, tbhatt6@uic.edu %K exergame training %K Matter of Balance %K MOB %K pre-frail %K tele-exergame %K tele-rehabilitation %K gaming-based %K tele-exercise %K physical function %K frailty %K older adults %K aging %K physical activity %K dementia %K CogXergaming %K telehealth %K dynamic balance %D 2025 %7 28.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40153783 %R 10.2196/72565 %U https://www.jmir.org/2025/1/e72565 %U https://doi.org/10.2196/72565 %U http://www.ncbi.nlm.nih.gov/pubmed/40153783 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69482 %T Addressing the Digital Divide Among the Older Population Presents a Substantial Challenge %A Xie,Su-hang %+ Department of Rehabilitation Medicine, The First Medical Center of PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, Beijing, 100853, China, 86 13041075258, hxkfxsh@163.com %K exergame training %K Matter of Balance %K MOB %K pre-frail %K tele-exergame %K tele-rehabilitation %K gaming-based %K tele-exercise %K physical function %K frailty %K older adults %K aging %K physical activity %K dementia %K CogXergaming %K telehealth %K dynamic balance %D 2025 %7 28.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40153778 %R 10.2196/69482 %U https://www.jmir.org/2025/1/e69482 %U https://doi.org/10.2196/69482 %U http://www.ncbi.nlm.nih.gov/pubmed/40153778 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e70247 %T Authors’ Reply: The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease %A Zhang,Xinyue %+ Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Gulou District, Nanjing, 210029, China, 86 15005162289, 15005162289@163.com %K exercise rehabilitation %K coronary heart disease %K promotion strategy %K home rehabilitation %D 2025 %7 28.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40152917 %R 10.2196/70247 %U https://www.jmir.org/2025/1/e70247 %U https://doi.org/10.2196/70247 %U http://www.ncbi.nlm.nih.gov/pubmed/40152917 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69927 %T The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease %A Zhang,Siqi %A Chen,Tielong %+ Department of Cardiology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), 453 Stadium Road, Hangzhou, 310007, China, 86 13858064178, ctlktz@163.com %K remote exercise rehabilitation %K SCeiP model %K coronary heart disease %K promotion strategy %K home rehabilitation %D 2025 %7 28.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40152916 %R 10.2196/69927 %U https://www.jmir.org/2025/1/e69927 %U https://doi.org/10.2196/69927 %U http://www.ncbi.nlm.nih.gov/pubmed/40152916 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e73062 %T Impact of Social Media Influencers on Amplifying Positive Public Health Messages %A Flaherty,Gerard Thomas %A Mangan,Ryan Michael %+ School of Medicine, College of Medicine, Nursing and Health Sciences, Ollscoil na Gaillimhe – University of Galway, University Road, Galway, H91TK33, Ireland, 353 91495469, gerard.flaherty@universityofgalway.ie %K social media %K COVID-19 %K vaccination %K personal brands %K public health %K wellness %K global health %K pandemic %K Twitter %K tweets %K vaccine %K longitudinal design %K wellness influencers %K hand annotation %K antivaccination %K infodemiology %D 2025 %7 21.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40117580 %R 10.2196/73062 %U https://www.jmir.org/2025/1/e73062 %U https://doi.org/10.2196/73062 %U http://www.ncbi.nlm.nih.gov/pubmed/40117580 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69204 %T Enhancing Digital Health Interventions for Medication Adherence: Considerations for Broader Applicability and Long-Term Impact %A Du,ShanShan %A Zhao,Yining %+ Renhe Rehabilitation Hospital, Renhe Street, Hubei, China, 86 15767853433, 1547838432@qq.com %K mobile apps %K digital health %K atrial fibrillation %K anticoagulants %K medication adherence %K mobile phone %D 2025 %7 14.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %R 10.2196/69204 %U https://www.jmir.org/2025/1/e69204 %U https://doi.org/10.2196/69204 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e72477 %T Authors’ Reply: Advancing Digital Health Integration in Oncology %A Lee,Yura %A Park,Ye-Eun %+ Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea, 82 2 3010 1498, haepary@amc.seoul.kr %K mHealth %K user experience %K cancer %K technology acceptance model %K structural equation modeling %K health care app %K mixed-method study %K medical care %K digital health care %K cancer survivors %K disparities %K health status %K behavioral intervention %K clinician %D 2025 %7 7.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40053760 %R 10.2196/72477 %U https://www.jmir.org/2025/1/e72477 %U https://doi.org/10.2196/72477 %U http://www.ncbi.nlm.nih.gov/pubmed/40053760 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e70316 %T Advancing Digital Health Integration in Oncology %A Khan,Rai Muhammad Umar %A Tariq,Hassan %+ Punjab Medical College, Faisalabad Medical University, Sargodha Road, Faisalabad, 38800, Pakistan, 92 41 9210080, raimumerkhan@gmail.com %K mHealth %K user experience %K cancer %K technology acceptance model %K structural equation modeling %K health care app %K mixed-method study %K medical care %K digital health care %K cancer survivors %K disparities %K health status %K behavioral intervention %K clinician %D 2025 %7 7.3.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 40053796 %R 10.2196/70316 %U https://www.jmir.org/2025/1/e70316 %U https://doi.org/10.2196/70316 %U http://www.ncbi.nlm.nih.gov/pubmed/40053796 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e71897 %T Authors’ Reply: “Adolescent Cocreation in Digital Health: From Passive Subjects to Active Stakeholders” %A Lewis,Callum C %A Taba,Melody %A Allen,Tiffany B %A Caldwell,Patrina H.Y %A Skinner,S Rachel %A Kang,Melissa %A Henderson,Hamish %A Bray,Liam %A Borthwick,Madeleine %A Collin,Philippa %A McCaffery,Kirsten %A Scott,Karen M %+ Education Office, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Room 208D, Edward Ford Building, Sydney, 2006, Australia, 1 298453385, karen.scott@sydney.edu.au %K adolescent health %K digital health literacy %K adolescents %K online health information %K co-design %K health education %K eHealth literacy %K social media %D 2025 %7 20.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39977857 %R 10.2196/71897 %U https://www.jmir.org/2025/1/e71897 %U https://doi.org/10.2196/71897 %U http://www.ncbi.nlm.nih.gov/pubmed/39977857 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e70020 %T Adolescent Cocreation in Digital Health: From Passive Subjects to Active Stakeholders %A Yang,Alina %+ Scarsdale High School, 1057 Post Road, Scarsdale, NY, 10583, United States, 1 (914) 721 2500, alinayang5@gmail.com %K adolescent health %K digital health literacy %K adolescents %K online health information %K co-design %K health education %K eHealth literacy %K social media %D 2025 %7 20.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39977854 %R 10.2196/70020 %U https://www.jmir.org/2025/1/e70020 %U https://doi.org/10.2196/70020 %U http://www.ncbi.nlm.nih.gov/pubmed/39977854 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e72007 %T Authors’ Reply: Enhancing the Clinical Relevance of Al Research for Medication Decision-Making %A Vordenberg,Sarah E %A Nichols,Julianna %A Marshall,Vincent D %A Weir,Kristie Rebecca %A Dorsch,Michael P %+ , College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48109, United States, 1 734 763 6691, skelling@med.umich.edu %K older adults %K artificial intelligence %K vignette %K pharmacology %K medication %K decision-making %K aging %K attitude %K perception %K perspective %K electronic heath record %D 2025 %7 18.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39964740 %R 10.2196/72007 %U https://www.jmir.org/2025/1/e72007 %U https://doi.org/10.2196/72007 %U http://www.ncbi.nlm.nih.gov/pubmed/39964740 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e70657 %T Enhancing the Clinical Relevance of Al Research for Medication Decision-Making %A Wang,Qi %A Chen,Mingxian %+ Department of Gastroenterology, Tongde Hospital of Zhejiang Province, 234 Gucui Street, Xihu Region, Hangzhou, 310012, China, 86 151 576 82797, chenmingxian2005@126.com %K older adults %K artificial intelligence %K medication %K decision-making %K data security %K patient trust %D 2025 %7 18.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39964744 %R 10.2196/70657 %U https://www.jmir.org/2025/1/e70657 %U https://doi.org/10.2196/70657 %U http://www.ncbi.nlm.nih.gov/pubmed/39964744 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e70168 %T Authors’ Reply: Advancing Insights Into Postoperative Sleep Quality and Influencing Factors %A Shang,Chen %A Yang,Ya %A He,Chengcheng %A Feng,Junqi %A Li,Yan %A Tian,Meimei %A Zhao,Zhanqi %A Gao,Yuan %A Li,Zhe %+ Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Pudong New District, Shanghai, 200127, China, 86 68383162, slamy1987@126.com %K sleep quality %K wearable sleep monitoring wristband %K intensive care unit %K minimally invasive surgery %K traditional open surgery %D 2025 %7 3.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39899853 %R 10.2196/70168 %U https://www.jmir.org/2025/1/e70168 %U https://doi.org/10.2196/70168 %U http://www.ncbi.nlm.nih.gov/pubmed/39899853 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69193 %T Advancing Insights Into Postoperative Sleep Quality and Influencing Factors %A Zhao,Yining %A Hu,Xin %+ Department of Cardiology, Faculty of Medicine, The First Hospital of Shanxi Medical University, 85 Jiefang South St, Shanxi, 030001, China, 86 18535223677, 630324540@qq.com %K sleep quality %K wearable sleep monitoring wristband %K intensive care unit %K minimally invasive surgery %K traditional open surgery %D 2025 %7 3.2.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39899843 %R 10.2196/69193 %U https://www.jmir.org/2025/1/e69193 %U https://doi.org/10.2196/69193 %U http://www.ncbi.nlm.nih.gov/pubmed/39899843 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e64015 %T Response From Crisis Text Line to “Commentary on ‘Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line’” %A Trujillo,Dena %+ Crisis Text Line, 225 West 34th Street, Floor 9 — PMB#9135, New York, NY, 10122, United States, 1 3322304008, dena@crisistextline.org %K crisis %K research %K data privacy %K research ethics %K digital rights %D 2025 %7 22.1.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %R 10.2196/64015 %U https://www.jmir.org/2025/1/e64015 %U https://doi.org/10.2196/64015 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e59734 %T Authors' Reply: Commentary on “Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line” %A Pisani,Anthony R %A Gallo,Carlos %A Gould,Madelyn S %A Kanuri,Nitya %A Marcotte,John E %A Pascal,Brian %A Rousseau,David %A Ranney,Megan L %A Filbin,Bob %A Turner,Shairi %+ Department of Psychiatry, Center for the Study and Prevention of Suicide, University of Rochester Medical Center, University of Rochester, 300 Crittenden Blvd, Rochester, NY, 14642, United States, 1 5855077177, anthony_pisani@urmc.rochester.edu %K ethics %K data sharing %K digital data %K text messaging %K technology %K cooperative behavior %D 2025 %7 22.1.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X We appreciate Reierson’s thoughtful commentary on our 2019 paper, which described our experiences, ethical process, judgment calls, and lessons from a 2016-2017 data-sharing pilot between Crisis Text Line and academic researchers. The commentary raises important questions about the ethical conduct of health research in the digital age, particularly regarding informed consent, potential conflicts of interest, and the protection of vulnerable populations. Our article focused specifically on the noncommercial use of Crisis Text Line data for research purposes, so we restrict our reply to points relevant to such usage. While we acknowledge the limitations of Crisis Text Line’s Terms of Service as a means of informing users about data sharing for research, we maintain that our guidelines were ethically sound and aligned with well-established practices for institutional review board (IRB) review and researcher training. We emphasize the critical role of IRBs in ensuring that research involving vulnerable populations, including minors, is conducted ethically and with appropriate safeguards. Regarding potential conflicts of interest, we argue that unpaid, nonfiduciary advisory board service for a nonprofit organization does not constitute a conflict requiring disclosure. The transparent nature of our collaboration with Crisis Text Line, as evidenced by the authorship and acknowledgments in our paper, further underscores our commitment to ethical research practices. We recognize the complexity and evolving nature of the challenges surrounding data-sharing partnerships in digital health research. As the field progresses, we remain committed to ongoing, transparent engagement and to refining best practices in collaboration with colleagues, stakeholders, and the public. Our response aims to provide clarity and context for the concerns raised in the commentary while reaffirming the integrity and value of our original work. Ultimately, we maintain that our paper contributed meaningfully to the ongoing discourse on ethical data sharing and laid the groundwork for future improvements in this critical area of digital health research. %R 10.2196/59734 %U https://www.jmir.org/2025/1/e59734 %U https://doi.org/10.2196/59734 %0 Journal Article %@ 2292-9495 %I JMIR Publications %V 12 %N %P e60160 %T Following Up Patients With Chronic Pain Using a Mobile App With a Support Center: Unicenter Prospective Study %A Gómez-González,Marta Antonia %A Cordero Tous,Nicolas %A De la Cruz Sabido,Javier %A Sánchez Corral,Carlos %A Lechuga Carrasco,Beatriz %A López-Vicente,Marta %A Olivares Granados,Gonzalo %K pain management %K mobile health %K mHealth %K eHealth %K chronic pain %K support center %K mobile phone app %K survey %K follow-up %K pain control %K prospective study %D 2025 %7 22.1.2025 %9 %J JMIR Hum Factors %G English %X Background: Chronic pain is among the most common conditions worldwide and requires a multidisciplinary treatment approach. Spinal cord stimulation is a possible treatment option for pain management; however, patients undergoing this intervention require close follow-up, which is not always feasible. eHealth apps offer opportunities for improved patient follow-up, although adherence to these apps tends to decrease over time, with rates dropping to approximately 60%. To improve adherence to remote follow-up, we developed a remote follow-up system consisting of a mobile app for patients, a website for health care professionals, and a remote support center. Objective: Our objective was to evaluate patient adherence to remote follow-up using a system that includes a mobile app and a remote support center. Methods: After review of the literature and approval of the design of the follow-up system by a multidisciplinary committee, a team of experts developed a system based on a mobile app, a website for health care professionals, and a remote support center. The system was developed in collaboration with health care professionals and uses validated scales to capture patients’ clinical data at each stage of treatment (ie, pretreatment phase, trial phase, and implantation phase). Data were collected prospectively between January 2020 to August 2023, including the number of total surveys sent, surveys completed, SMS text message reminders sent, and reminder calls made. Results: A total of 64 patients were included (n=40 women, 62.5%) in the study. By the end of the study, 19 (29.7%) patients remained in the pretreatment phase, 8 (12.5%) patients had completed the trial phase, and 37 (57.8%) reached the implantation phase. The mean follow-up period was 15.30 (SD 9.43) months. A total of 1574 surveys were sent, along with 488 SMS text message reminders and 53 reminder calls. The mean adherence rate decreased from 94.53% (SD 20.63%) during the pretreatment phase to 65.68% (SD 23.49%) in the implantation phase, with an overall mean adherence rate of 87.37% (SD 15.37%) for the app. ANOVA showed that adherence was significantly higher in the earlier phases of treatment (P<.001). Conclusions: Our remote follow-up system, supported by a remote support center improves adherence to follow-up in later phases of treatment, although adherence decreased over time. Further studies are needed to investigate the relationship between adherence to the app and pain management. %R 10.2196/60160 %U https://humanfactors.jmir.org/2025/1/e60160 %U https://doi.org/10.2196/60160 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69798 %T Authors’ Reply: Japan's Telepsychiatry Dissemination: Current Status and Challenges %A Sugawara,Yuka %A Hirakawa,Yosuke %A Iwagami,Masao %A Kuroki,Haruo %A Mitani,Shuhei %A Inagaki,Ataru %A Ohashi,Hiroki %A Kubota,Mitsuru %A Koike,Soichi %A Wakimizu,Rie %A Nangaku,Masaomi %+ Division of Nephrology and Endocrinology, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan, 81 3 3815 5411, mnangaku@m.u-tokyo.ac.jp %D 2025 %7 20.1.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39832363 %R 10.2196/69798 %U https://www.jmir.org/2025/1/e69798 %U https://doi.org/10.2196/69798 %U http://www.ncbi.nlm.nih.gov/pubmed/39832363 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e22849 %T Japan's Telepsychiatry Dissemination: Current Status and Challenges %A Kinoshita,Shotaro %A Kishimoto,Taishiro %+ , Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, #7F Azabudai Hills Mori JP Tower 1-3-1, Azabudai, Minato-Ku, Tokyo, 106-0041, Japan, 81 3 5363 3829, tkishimoto@keio.jp %D 2025 %7 20.1.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39832367 %R 10.2196/22849 %U https://www.jmir.org/2025/1/e22849 %U https://doi.org/10.2196/22849 %U http://www.ncbi.nlm.nih.gov/pubmed/39832367 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 27 %N %P e69742 %T Advantages and Inconveniences of a Multi-Agent Large Language Model System to Mitigate Cognitive Biases in Diagnostic Challenges %A Bousquet,Cedric %A Beltramin,Divà %+ Laboratory of Medical Informatics and Knowledge Engineering in e-Health, Inserm, Sorbonne University, 15 rue de l'école de Médecine, Paris, F-75006, France, 33 0477127974, cedric.bousquet@chu-st-etienne.fr %K large language model %K multi-agent system %K diagnostic errors %K cognition %K clinical decision-making %K cognitive bias %K generative artificial intelligence %D 2025 %7 20.1.2025 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39832364 %R 10.2196/69742 %U https://www.jmir.org/2025/1/e69742 %U https://doi.org/10.2196/69742 %U http://www.ncbi.nlm.nih.gov/pubmed/39832364 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e65123 %T Authors’ Reply: Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis %A Hsu,Tien-Wei %A Liang,Chih-Sung %+ Department of Psychiatry, Tri-service Hospital, Beitou Branch, No. 60, Xinmin Road, Beitou District, Taipei, 112, Taiwan, 886 2 28959808, lcsyfw@gmail.com %K ChatGPT %K AI-generated scientific content %K plagiarism %K AI %K artificial intelligence %K NLP %K natural language processing %K LLM %K language model %K text %K textual %K generation %K generative %K extract %K extraction %K scientific research %K academic research %K publication %K abstract %K comparative analysis %K reviewer bias %D 2024 %7 23.12.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X N/A %R 10.2196/65123 %U https://www.jmir.org/2024/1/e65123 %U https://doi.org/10.2196/65123 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e55920 %T Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis %A Wang,Zijian %A Zhou,Chunyang %+ Department of Radiation Oncology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, 758 Hefei Road, Qingdao, Qingdao, 266000, China, 86 18561813085, chunyangzhou29@163.com %K ChatGPT %K AI-generated scientific content %K plagiarism %K AI %K artificial intelligence %K NLP %K natural language processing %K LLM %K language model %K text %K textual %K generation %K generative %K extract %K extraction %K scientific research %K academic research %K publication %K abstract %K comparative analysis %K reviewer bias %D 2024 %7 23.12.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %R 10.2196/55920 %U https://www.jmir.org/2024/1/e55920 %U https://doi.org/10.2196/55920 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e66453 %T The Vast Potential of ChatGPT in Pediatric Surgery %A Tang,Ran %A Qi,Shi-qin %+ Department of Pediatric Surgery, Anhui Provincal Children's Hospital, 39 Wangjiang Street, Hefei, 230051, China, 86 13637080508, qishiqin@163.com %K ChatGPT %K pediatric %K surgery %K artificial intelligence %K AI %K diagnosis %K surgeon %D 2024 %7 18.11.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %R 10.2196/66453 %U https://www.jmir.org/2024/1/e66453 %U https://doi.org/10.2196/66453 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e67749 %T Author's Reply: Expanding the Scope: Reflections on Digital Smoking Cessation Strategies for Diverse Age Groups %A Fahey,Margaret C %+ Department of Psychology, Middle Tennessee State University, Academic Classroom Building, Murfreesboro, TN, 37130, United States, 1 615 898 5949, mfahey@mtsu.edu %K digital smoking cessation %K age group comparisons %K behavioral health intervention %K older adult %K cigarette %K tobacco %K quitting %K telehealth %K behavioral health %K public health %D 2024 %7 18.11.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %R 10.2196/67749 %U https://www.jmir.org/2024/1/e67749 %U https://doi.org/10.2196/67749 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e65929 %T Expanding the Scope: Reflections on Digital Smoking Cessation Strategies for Diverse Age Groups %A Wei,Bin %A Hu,Xin %A Wu,XiaoRong %+ The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, 330000, China, 86 13617093259, wxr98021@126.com %K digital smoking cessation %K age group comparisons %K behavioral health interventions %K older adults %K digital cessation treatment %K cigarettes %K tobacco %K quit %K telehealth %K behavioral health %K public health %D 2024 %7 18.11.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39556825 %R 10.2196/65929 %U https://www.jmir.org/2024/1/e65929 %U https://doi.org/10.2196/65929 %U http://www.ncbi.nlm.nih.gov/pubmed/39556825 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e65527 %T Considerations and Challenges in the Application of Large Language Models for Patient Complaint Resolution %A Wei,Bin %A Hu,Xin %A Wu,XiaoRong %+ The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17 Yongwai Zheng Street, Donghu District, Nanchang, 330000, China, 86 13617093259, wxr98021@126.com %K ChatGPT %K large language model %K LLM %K artificial intelligence %K AI %K patient complaint %K empathy %K efficiency %K patient satisfaction %K resource allocation %D 2024 %7 17.9.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 39288405 %R 10.2196/65527 %U https://www.jmir.org/2024/1/e65527 %U https://doi.org/10.2196/65527 %U http://www.ncbi.nlm.nih.gov/pubmed/39288405 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e62891 %T Authors’ Reply: The Power of Collaboration in Facilitating Mobile Technology Adoption in Health Care %A Tong,Huong Ly %A Rakic,Severin %A Al-Hazzaa,Hazzaa M %A Alqahtani,Saleh A %+ The World Bank Group, J5-068, 1818 H Street NW, Washington, DC, 20433, United States, 1 2024585552, srakic@worldbank.org %K mobile apps %K fitness trackers %K SMS %K SMS text messaging %K physical activity %K exercise %K sedentary behavior %K Middle East %K Africa, Northern %K movement %K physical inactivity %K smartphone %K mobile phone %K mobile health %K mHealth %K digital health %K behavior change %K intervention %D 2024 %7 8.7.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38976872 %R 10.2196/62891 %U https://www.jmir.org/2024/1/e62891 %U https://doi.org/10.2196/62891 %U http://www.ncbi.nlm.nih.gov/pubmed/38976872 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e60350 %T The Power of Collaboration in Facilitating Mobile Technology Adoption in Health Care %A Fan,Weijing %A Liu,Guobin %+ Department of Peripheral Vascular Surgery, Institute of Surgery of Traditional Chinese Medicine, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Zhangheng road 528, Shanghai, 201203, China, 86 15800885533, 15800885533@163.com %K social workers %K government %K mobile technology %K mobile apps %K fitness trackers %K SMS %K SMS text messaging %K physical activity %K exercise %K sedentary behavior %K Middle East %K Africa %K movement %K physical inactivity %K smartphone %K mobile phone %K mobile health %K mHealth %K digital health %K behavior change %K intervention %D 2024 %7 8.7.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38976864 %R 10.2196/60350 %U https://www.jmir.org/2024/1/e60350 %U https://doi.org/10.2196/60350 %U http://www.ncbi.nlm.nih.gov/pubmed/38976864 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e62775 %T Author’s Reply: Mental Health Problems Among Children and Adolescents From a Sports Sociology Perspective %A Aldridge,Grace %+ Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton Campus, Clayton, 3168, Australia, 61 39905 072, grace.aldridge@monash.edu %K parenting interventions %K technology %K sports sociology %K child mental health %K adolescent mental health %K adverse childhood experiences %K systematic review %K intervention %K digital technology, parenting %K parenting program %K engagement %K support %D 2024 %7 3.7.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38959063 %R 10.2196/62775 %U https://www.jmir.org/2024/1/e62775 %U https://doi.org/10.2196/62775 %U http://www.ncbi.nlm.nih.gov/pubmed/38959063 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e60513 %T Mental Health Problems Among Children and Adolescents From a Sports Sociology Perspective %A Li,Yuan %A Zhai,Qun %A Peng,Weihang %+ Faculty of Health Sciences and Sports, Macao Polytechnic University, Comes Street, Macao, 999078, Macao, 853 68911106, zqun@mpu.edu.mo %K sociology of sport %K children %K adolescents %K mental health %K systematic review %K intervention %K digital technology, parenting %K technology %K parenting program %K engagement %K support %K adverse childhood experiences %D 2024 %7 3.7.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38959025 %R 10.2196/60513 %U https://www.jmir.org/2024/1/e60513 %U https://doi.org/10.2196/60513 %U http://www.ncbi.nlm.nih.gov/pubmed/38959025 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e59208 %T How to Enhance Adherence in Patients with Nonalcoholic Fatty Liver Disease: A Thought-Provoking Issue %A Liu,Chunlan %A Zhou,Run %A Shi,Junping %+ Department of Infectious Disease and Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University Jinhua Road Campus, 120 Jinhua Road, Hangzhou, 311121, China, 86 13957121199, 20131004@hznu.edu.cn %K NAFLD %K adherence %K digital therapeutics %K lifestyle modification %K mobile health %K nonalcoholic fatty liver disease %K self-management %K randomized controlled trial %D 2024 %7 14.5.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38743941 %R 10.2196/59208 %U https://www.jmir.org/2024/1/e59208 %U https://doi.org/10.2196/59208 %U http://www.ncbi.nlm.nih.gov/pubmed/38743941 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e57778 %T Authors’ Reply: “Evaluating GPT-4’s Cognitive Functions Through the Bloom Taxonomy: Insights and Clarifications” %A Herrmann-Werner,Anne %A Festl-Wietek,Teresa %A Holderried,Friederike %A Herschbach,Lea %A Griewatz,Jan %A Masters,Ken %A Zipfel,Stephan %A Mahling,Moritz %+ Tübingen Institute for Medical Education, Faculty of Medicine, University of Tübingen, Elfriede-Aulhorn-Strasse 10, Tübingen, 72076, Germany, 49 7071 29 73715, teresa.festl-wietek@med.uni-tuebingen.de %K answer %K artificial intelligence %K assessment %K Bloom’s taxonomy %K ChatGPT %K classification %K error %K exam %K examination %K generative %K GPT-4 %K Generative Pre-trained Transformer 4 %K language model %K learning outcome %K LLM %K MCQ %K medical education %K medical exam %K multiple-choice question %K natural language processing %K NLP %K psychosomatic %K question %K response %K taxonomy %D 2024 %7 16.4.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38625723 %R 10.2196/57778 %U https://www.jmir.org/2024/1/e57778 %U https://doi.org/10.2196/57778 %U http://www.ncbi.nlm.nih.gov/pubmed/38625723 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e56997 %T Evaluating GPT-4’s Cognitive Functions Through the Bloom Taxonomy: Insights and Clarifications %A Huang,Kuan-Ju %+ Department of Obstetrics and Gynecology, National Taiwan University Hospital Yunlin Branch, No 579, Sec 2, Yunlin Rd, Douliu City, Yunlin County, 640, Taiwan, 886 55323911 ext 563413, restroomer@icloud.com %K artificial intelligence %K ChatGPT %K Bloom taxonomy %K AI %K cognition %D 2024 %7 16.4.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38625725 %R 10.2196/56997 %U https://www.jmir.org/2024/1/e56997 %U https://doi.org/10.2196/56997 %U http://www.ncbi.nlm.nih.gov/pubmed/38625725 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e57422 %T Authors’ Reply: Ambiguity in Statistical Analysis Methods and Nonconformity With Prespecified Commitment to Data Sharing in a Cluster Randomized Controlled Trial %A Arguello,Diego %+ Human Performance and Exercise Science Lab, Department of Health Sciences, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, 1 6173734427, arguello.d@Northeastern.edu %K prolonged sedentary behavior %K sedentary behavior %K sit-to-stand desks %K treadmill desks %K physical activity promotion %K workplace wellness %K seated office workers %K move more and sit less %D 2024 %7 3.4.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38568734 %R 10.2196/57422 %U https://www.jmir.org/2024/1/e57422 %U https://doi.org/10.2196/57422 %U http://www.ncbi.nlm.nih.gov/pubmed/38568734 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e54090 %T Ambiguity in Statistical Analysis Methods and Nonconformity With Prespecified Commitment to Data Sharing in a Cluster Randomized Controlled Trial %A Jamshidi-Naeini,Yasaman %A Golzarri-Arroyo,Lilian %A Thapa,Deependra K %A Brown,Andrew W %A Kpormegbey,Daniel E %A Allison,David B %+ Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, 1025 E 7th St, PH 111, Bloomington, IN, 47405, United States, 1 8128551250, allison@iu.edu %K cluster randomized trial %K clustering %K nesting %K data availability %K random allocation %K data sharing %K reproducibility %D 2024 %7 3.4.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38568721 %R 10.2196/54090 %U https://www.jmir.org/2024/1/e54090 %U https://doi.org/10.2196/54090 %U http://www.ncbi.nlm.nih.gov/pubmed/38568721 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e55930 %T Authors' Reply: Concerns About the Generalizability Associated With a South African Randomized Controlled Trial on Prenatal Mothers %A Adam,Maya %A Nguyễn,Vān Kính %+ Department of Pediatrics, Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, 94305, United States, 1 6508393600, madam@stanford.edu %K maternal child health %K mHealth %K mobile health %K randomized controlled trial %K short animated storytelling %K South Africa %K video health messaging %D 2024 %7 12.2.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38345840 %R 10.2196/55930 %U https://www.jmir.org/2024/1/e55930 %U https://doi.org/10.2196/55930 %U http://www.ncbi.nlm.nih.gov/pubmed/38345840 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 26 %N %P e53861 %T Concerns About the Generalizability Associated With a South African Randomized Controlled Trial on Prenatal Mothers %A Lin,Yongjian %+ Department of Gastrointestinal and Gland Surgery, The First Affiliated Hospital of Guangxi Medical University, No. 22, Shuangyou Road, Qingxiu District, Nanning, 530021, China, 86 13878870525, linyongjian@stu.gxmu.edu.cn %K letter %K maternal child health %K mHealth %K mobile health %K randomized controlled trial %K short animated storytelling %K South Africa %K video health messaging %D 2024 %7 12.2.2024 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 38345847 %R 10.2196/53861 %U https://www.jmir.org/2024/1/e53861 %U https://doi.org/10.2196/53861 %U http://www.ncbi.nlm.nih.gov/pubmed/38345847 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e52877 %T Authors’ Reply: “The Problem of Investigating Causal Relationships Between Cognitive and Evaluative Variables” %A Guetz,Bernhard %A Bidmon,Sonja %+ Carinthia University of Applied Sciences, Europastraße 4, Villach & Klagenfurt, 9524, Austria, 43 5905002453, guetz@fh-kaernten.at %K social influence %K physician rating websites %K patient satisfaction %K eHealth literacy %D 2023 %7 22.11.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37991815 %R 10.2196/52877 %U https://www.jmir.org/2023/1/e52877 %U https://doi.org/10.2196/52877 %U http://www.ncbi.nlm.nih.gov/pubmed/37991815 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e52286 %T Authors’ Reply: Modernizing Gender, Sex, and Sexual Orientation Data Through Engagement and Education %A Queen,Roz %A Courtney,Karen L %A Lau,Francis %A Davison,Kelly %A Devor,Aaron %A Antonio,Marcy G %+ School of Health Information Science, University of Victoria, PO Box 1700 STN CSC, Victoria, BC, V8W 2Y2, Canada, 1 2507218575, rozomqueen@gmail.com %K data sharing %K digital health systems %K digital health %K gender, sex, and sexual orientation %K electronic health records %K GSSO %K health information standards %K LGBT health %K LGBT %K policy %D 2023 %7 15.11.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37966876 %R 10.2196/52286 %U https://www.jmir.org/2023/1/e52286 %U https://doi.org/10.2196/52286 %U http://www.ncbi.nlm.nih.gov/pubmed/37966876 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e51632 %T Modernizing Gender, Sex, and Sexual Orientation Data Through Engagement and Education %A Ginaldi,Lia %A De Martinis,Massimo %+ Department of Life, Health and Environmental Sciences, University of L'Aquila, Piazzale Salvatore Tommasi n.1, L'Aquila, 67100, Italy, 39 0861 429548, demartinis@cc.univaq.it %K data sharing %K digital health systems %K digital health %K gender, sex, and sexual orientation %K electronic health records %K GSSO %K health information standards %K LGBT health %K LGBT %K policy %K LGBTQIA+ %K gender medicine %D 2023 %7 15.11.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37966895 %R 10.2196/51632 %U https://www.jmir.org/2023/1/e51632 %U https://doi.org/10.2196/51632 %U http://www.ncbi.nlm.nih.gov/pubmed/37966895 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e42604 %T Tailoring Educational Materials to Cultural Context Matters %A Zaki,Sasha %+ Jinnah Sindh Medical University, Rafiqui HJ Shaheed Road, Karachi, 75510, Pakistan, 92 219 920 5185, sashazaki13@gmail.com %K Bangladesh %K health education %K health knowledge %K quality of life %K motivation %K randomized controlled trial %K RCT %K campaign %K chronic kidney disease %K knowledge %K mobile health %K mHealth %K kidney %K chronic disease %K chronic condition %K patient education %K patient knowledge %K low- and middle-income countries %K LMIC %D 2023 %7 6.11.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37930771 %R 10.2196/42604 %U https://www.jmir.org/2023/1/e42604 %U https://doi.org/10.2196/42604 %U http://www.ncbi.nlm.nih.gov/pubmed/37930771 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e41715 %T A Narrow Definition of Clinical Robustness %A Marshall,Jaclyn %A Yurkovic,Alexandra %A Thames,Todd %A Parekh,Ami %+ Included Health, 1 California Street, Ste 2300, San Francisco, CA, 94111, United States, 1 855 431 5533, jaclyn.marshall@includedhealth.com %K digital health %K research %K virtual care %D 2023 %7 21.9.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37733417 %R 10.2196/41715 %U https://www.jmir.org/2023/1/e41715 %U https://doi.org/10.2196/41715 %U http://www.ncbi.nlm.nih.gov/pubmed/37733417 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e45322 %T The Skewed Impact of Highly Cited Articles on Journal Impact Factor %A Ide,Kazuki %+ Division of Scientific Information and Public Policy, Center for Infectious Disease Education and Research (CiDER), Osaka University, Techno-Alliance Building C 208, 2-8 Yamadaoka, Suita, Osaka, 565-0871, Japan, 81 06 6879 4168, ide-k@cider.osaka-u.ac.jp %K COVID-19 %K journal impact factor %K JIF %K scientometrics %K bibliometrics %K infometrics %K journal %K assessment %K research %K resources %K medical journal %K literature %K database %K community %K behavior %D 2023 %7 18.9.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37721788 %R 10.2196/45322 %U https://www.jmir.org/2023/1/e45322 %U https://doi.org/10.2196/45322 %U http://www.ncbi.nlm.nih.gov/pubmed/37721788 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e50844 %T AI Is Changing the Landscape of Academic Writing: What Can Be Done? Authors’ Reply to: AI Increases the Pressure to Overhaul the Scientific Peer Review Process. Comment on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened” %A Májovský,Martin %A Mikolov,Tomas %A Netuka,David %+ Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University, U Vojenské nemocnice 1200, Prague, 16000, Czech Republic, 420 973202963, majovmar@uvn.cz %K artificial intelligence %K AI %K publications %K ethics %K neurosurgery %K ChatGPT %K Chat Generative Pre-trained Transformer %K language models %K fraudulent medical articles %D 2023 %7 31.8.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37651175 %R 10.2196/50844 %U https://www.jmir.org/2023/1/e50844 %U https://doi.org/10.2196/50844 %U http://www.ncbi.nlm.nih.gov/pubmed/37651175 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e50591 %T AI Increases the Pressure to Overhaul the Scientific Peer Review Process. Comment on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened” %A Liu,Nicholas %A Brown,Amy %+ John A Burns School of Medicine, University of Hawai'i at Mānoa, 651 Ilalo St, Honolulu, HI, 96813, United States, 1 808 692 1000, nliu6@hawaii.edu %K artificial intelligence %K AI %K publications %K ethics %K neurosurgery %K ChatGPT %K Chat Generative Pre-trained Transformer %K language models %K fraudulent medical articles %D 2023 %7 31.8.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37651167 %R 10.2196/50591 %U https://www.jmir.org/2023/1/e50591 %U https://doi.org/10.2196/50591 %U http://www.ncbi.nlm.nih.gov/pubmed/37651167 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e51799 %T Digital Health Tools Can Support Patient Access to Culturally and Linguistically Competent Behavioral Health Treatment %A Berger,Mitchell %+ US Department of Health and Human Services, 5600 Fishers Lane, Rockville, MD, 200857, United States, 1 5712177722, mazruia@hotmail.com %K African American %K women %K depression %K telemedicine %K mobile health %K mHealth %K mobile apps %K digital health %K mental health %K gender minority %K mobile technology %K mobile phone %D 2023 %7 25.8.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37624636 %R 10.2196/51799 %U https://www.jmir.org/2023/1/e51799 %U https://doi.org/10.2196/51799 %U http://www.ncbi.nlm.nih.gov/pubmed/37624636 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e45607 %T Author’s Reply to: Environmental Influence and Recruitment Bias in Studies on Internet Addiction. Comment on “Addiction Symptom Network of Young Internet Users: Network Analysis” %A Zheng,Hui %+ Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, Xuhui District, Shanghai, 200030, China, 86 18267908575, zh.dmtr@gmail.com %K internet addiction %K Internet Addiction Test %K network analysis %K adolescents %D 2023 %7 11.7.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37432733 %R 10.2196/45607 %U https://www.jmir.org/2023/1/e45607 %U https://doi.org/10.2196/45607 %U http://www.ncbi.nlm.nih.gov/pubmed/37432733 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 25 %N %P e44438 %T Environmental Influence and Recruitment Bias in Studies on Internet Addiction. Comment on “Addiction Symptom Network of Young Internet Users: Network Analysis” %A Huang,Ting Yun %A Liaw,Yung-Po %+ School of Medicine, Chung Shan Medical University, No 110, Section 1, Jianguo N Rd, South District, Taichung City, 40201, Taiwan, 886 0424730022 ext 11838, liawyp@csmu.edu.tw %K internet addiction %K Internet Addiction Test %K network analysis %K adolescents %D 2023 %7 11.7.2023 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 37432717 %R 10.2196/44438 %U https://www.jmir.org/2023/1/e44438 %U https://doi.org/10.2196/44438 %U http://www.ncbi.nlm.nih.gov/pubmed/37432717 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 7 %P e39397 %T Authors’ Reply to: Clarity on the Type of Review. Comment on “Value Cocreation in Health Care: Systematic Review” %A Peng,Yuxin %A Wu,Tailai %A Chen,Zhuo %A Deng,Zhaohua %+ School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, China, 86 13477072665, lncle2012@gmail.com %K value cocreation %K health care %K patient value %K health care professional value %K systematic review %D 2022 %7 11.7.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35816384 %R 10.2196/39397 %U https://www.jmir.org/2022/7/e39397 %U https://doi.org/10.2196/39397 %U http://www.ncbi.nlm.nih.gov/pubmed/35816384 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 7 %P e38457 %T Clarity on the Type of Review. Comment on “Value Cocreation in Health Care: Systematic Review” %A Kajal,Fnu %+ University of Arizona, Global Center, 615 North Park Avenue, Tucson, AZ, 85721, United States, 1 7233866266, kkajal@email.arizona.edu %K value cocreation %K health care %K patient value %K health care professional value %K systematic review %D 2022 %7 11.7.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35816377 %R 10.2196/38457 %U https://www.jmir.org/2022/7/e38457 %U https://doi.org/10.2196/38457 %U http://www.ncbi.nlm.nih.gov/pubmed/35816377 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 6 %P e39717 %T Authors’ Reply to: To Screen or Not to Screen? At Which BMI Cut Point? Comment on “Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study” %A Funk,Luke %A Liu,Natalie %+ Department of Surgery, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI, 53597, United States, 1 608 263 1036, funk@surgery.wisc.edu %K obesity %K body mass index %K BMI %K risk factors %K screening %K health services %K chronic disease %K heart disease %K myocardial perfusion imaging %K anxiety %K depression %D 2022 %7 29.6.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35767330 %R 10.2196/39717 %U https://www.jmir.org/2022/6/e39717 %U https://doi.org/10.2196/39717 %U http://www.ncbi.nlm.nih.gov/pubmed/35767330 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 6 %P e37267 %T To Screen or Not to Screen? At Which BMI Cut Point? Comment on “Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study” %A Sioka,Chrissa %+ Department of Nuclear Medicine, University Hospital of Ioannina, 1 Stavrou Niarhos Street, Ioannina, 45500, Greece, 30 2651099375, csioka@yahoo.com %K obesity %K body mass index %K BMI %K risk factors %K screening %K health services %K chronic disease %K heart disease %K myocardial perfusion imaging %K anxiety %K depression %D 2022 %7 29.6.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35767333 %R 10.2196/37267 %U https://www.jmir.org/2022/6/e37267 %U https://doi.org/10.2196/37267 %U http://www.ncbi.nlm.nih.gov/pubmed/35767333 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 5 %P e38212 %T Authors’ Reply to: Learning More About the Effects of Gamification on Physical Activity. Comment on “Evaluating the Effectiveness of Gamification on Physical Activity: Systematic Review and Meta-analysis of Randomized Controlled Trials” %A Mazeas,Alexandre %A Duclos,Martine %A Pereira,Bruno %A Chalabaev,Aïna %+ Univ Grenoble Alpes, SENS, 1741 rue de la Piscine, 38000 Grenoble, France, 33 476635081, alexandre.mazeas@univ-grenoble-alpes.fr %K behavior change %K eHealth %K gamification %K health behavior %K intervention %K meta-analysis %K mobile phone %K physical activity %K systematic review %K elderly %K old adults %D 2022 %7 3.5.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35503414 %R 10.2196/38212 %U https://www.jmir.org/2022/5/e38212 %U https://doi.org/10.2196/38212 %U http://www.ncbi.nlm.nih.gov/pubmed/35503414 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 5 %P e36396 %T Learning More About the Effects of Gamification on Physical Activity. Comment on “Evaluating the Effectiveness of Gamification on Physical Activity: Systematic Review and Meta-analysis of Randomized Controlled Trials” %A Hung,Cheng-Hsien %A Kao,Yung-Shuo %+ Department of Pharmacy, Chang Bing Show Chwan Memorial Hospital, No 6, Lugong Rd, Lukang Township, Changhua County, 50544, Taiwan, 886 4 7813888 ext 71255, chenghsien823@gmail.com %K behavior change %K eHealth %K gamification %K health behavior %K intervention %K meta-analysis %K mobile phone %K physical activity %K systematic review %K elderly %K old adults %D 2022 %7 3.5.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35503654 %R 10.2196/36396 %U https://www.jmir.org/2022/5/e36396 %U https://doi.org/10.2196/36396 %U http://www.ncbi.nlm.nih.gov/pubmed/35503654 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 5 %P e37413 %T Authors Reply to: Research Using Social Media to Recruit Research Participants Should Proceed With Caution. Comment on “Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial” %A Adly,Aya Sedky %A Adly,Mahmoud Sedky %A Adly,Afnan Sedky %+ Faculty of Engineering and Technology, Badr University in Cairo (BUC), Cairo Suez Road, Badr City, Cairo, 11511, Egypt, 20 1145559778, aya.sedky@gmail.com %K telemedicine %K oxygen therapy %K noninvasive positive airway pressure %K BiPAP %K osteopathic medicine %K physical therapy %K SARS-CoV-2 %K COVID-19 %K teletherapy %K telemanagement %D 2022 %7 2.5.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35476751 %R 10.2196/37413 %U https://www.jmir.org/2022/5/e37413 %U https://doi.org/10.2196/37413 %U http://www.ncbi.nlm.nih.gov/pubmed/35476751 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 5 %P e34437 %T Research Using Social Media to Recruit Research Participants Should Proceed With Caution. Comment on “Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial” %A Chen,Chih-Wei %A Wei,James Cheng-Chung %+ Institute of Medicine, Chung Shan Medical University, No 110, Sec 1, Jianguo N Rd, South District, Taichung, 40201, Taiwan, 886 4 24739595, jccwei@gmail.com %K telemedicine %K oxygen therapy %K noninvasive positive airway pressure %K BiPAP %K osteopathic medicine %K physical therapy %K SARS-CoV-2 %K COVID-19 %K teletherapy %K telemanagement %D 2022 %7 2.5.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35476637 %R 10.2196/34437 %U https://www.jmir.org/2022/5/e34437 %U https://doi.org/10.2196/34437 %U http://www.ncbi.nlm.nih.gov/pubmed/35476637 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e37957 %T Authors’ Reply to: Challenges in Measuring What Matters to Patients With Diabetes. Comment on “Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review” %A Kwan,Yu Heng %A Phang,Jie Kie %A Yoon,Sungwon %A Low,Lian Leng %+ Health Services and Systems Research, Duke-NUS Medical School, 8 College Rd, Singapore, 169857, Singapore, 65 90231226, phakyh@nus.edu.sg %K systematic review %K measurement properties %K patient-reported outcome measures %K methodological quality %K level of evidence %K PROMs %K patient reported outcome %K diabetes %D 2022 %7 31.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35357327 %R 10.2196/37957 %U https://www.jmir.org/2022/3/e37957 %U https://doi.org/10.2196/37957 %U http://www.ncbi.nlm.nih.gov/pubmed/35357327 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e36876 %T Challenges in Measuring What Matters to Patients With Diabetes. Comment on “Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review” %A Rutters,Femke %A Elsman,Ellen %A Groeneveld,Lenka %A Langendoen-Gort,Marlous %A Mokkink,Lidwine %A Terwee,Caroline %+ Department of Epidemiology and Data Science, Amsterdam University Medical Centre, Location Vrije Universiteit Amsterdam, De Boelelaan 1089a, Amsterdam, 1081 HV, Netherlands, 31 204445860, f.rutters@amsterdamumc.nl %K systematic review %K measurement properties %K patient-reported outcome measures %K methodological quality %K level of evidence %K PROMs %K patient reported outcome %K diabetes %D 2022 %7 31.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35357322 %R 10.2196/36876 %U https://www.jmir.org/2022/3/e36876 %U https://doi.org/10.2196/36876 %U http://www.ncbi.nlm.nih.gov/pubmed/35357322 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e37440 %T Authors’ Reply to: Toward a Better Understanding of Quality Social Connections. Comment on “Quality Social Connection as an Active Ingredient in Digital Interventions for Young People With Depression and Anxiety: Systematic Scoping Review and Meta-analysis” %A Dewa,Lindsay H %A Roberts,Lily %A Lawrance,Emma %A Ashrafian,Hutan %+ Institute of Global Health Innovation, Imperial College London, Reynolds Building, 3rd Floor, London, W6 8RP, United Kingdom, 44 02075940815, l.dewa@imperial.ac.uk %K mental health %K digital interventions %K young people %K quality social connection %K depression %K anxiety %K systematic review %K meta-analysis %K patient and public involvement %K mobile phone %D 2022 %7 11.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35275072 %R 10.2196/37440 %U https://www.jmir.org/2022/3/e37440 %U https://doi.org/10.2196/37440 %U http://www.ncbi.nlm.nih.gov/pubmed/35275072 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e37419 %T Authors’ Reply to: Interpretation Bias Toward the Positive Impacts of Digital Interventions in Health Care. Comment on “Value of the Electronic Medical Record for Hospital Care: Update From the Literature” %A Stausberg,Jürgen %A Uslu,Aykut %+ Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstrasse 55, Essen, 45122, Germany, 49 201 723 77201, stausberg@ekmed.de %K cost analysis %K costs and cost analyses %K economic advantage %K electronic medical records %K electronic records %K health care %K hospitals %K computerized medical records systems %K quality of health care %K secondary data %D 2022 %7 4.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35254272 %R 10.2196/37419 %U https://www.jmir.org/2022/3/e37419 %U https://doi.org/10.2196/37419 %U http://www.ncbi.nlm.nih.gov/pubmed/35254272 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e37208 %T Interpretation Bias Toward the Positive Impacts of Digital Interventions in Health Care. Comment on “Value of the Electronic Medical Record for Hospital Care: Update From the Literature” %A Shakibaei Bonakdeh,Erfan %+ Department of Management, Monash Business School, Monash University, 900 Dandenong Rd, Caulfield East, Melbourne, VIC, 3145, Australia, 61 1399032000, erfan.shakibaeibonakdeh@monash.edu %K cost analysis %K costs and cost analyses %K economic advantage %K electronic medical records %K electronic records %K health care %K hospitals %K computerized medical records system %K quality of health care %K secondary data %D 2022 %7 4.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35254276 %R 10.2196/37208 %U https://www.jmir.org/2022/3/e37208 %U https://doi.org/10.2196/37208 %U http://www.ncbi.nlm.nih.gov/pubmed/35254276 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 3 %P e34870 %T The Unclear Role of the Physician on Social Media During the COVID-19 Pandemic. Comment on “Emergency Physician Twitter Use in the COVID-19 Pandemic as a Potential Predictor of Impending Surge: Retrospective Observational Study” %A MacLeod,Spencer %A Singh,Nikhi Paul %A Boyd,Carter Joseph %+ School of Medicine, The University of Alabama at Birmingham, 1670 University Blvd, Birmingham, AL, 35233, United States, 1 205 563 3208, nsingh@uab.edu %K COVID-19 pandemic %K emergency medicine %K disaster medicine %K crisis standards of care %K latent Dirichlet allocation %K topic modeling %K Twitter %K sentiment analysis %K surge capacity %K physician wellness %K social media %K internet %K infodemiology %K COVID-19 %D 2022 %7 2.3.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35120018 %R 10.2196/34870 %U https://www.jmir.org/2022/3/e34870 %U https://doi.org/10.2196/34870 %U http://www.ncbi.nlm.nih.gov/pubmed/35120018 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 2 %P e31978 %T Getting a Vaccine, Jab, or Vax Is More Than a Regular Expression. Comment on “COVID-19 Vaccine-Related Discussion on Twitter: Topic Modeling and Sentiment Analysis” %A Cummins,Jack Alexander %+ Manchester Essex Regional High School, 36 Lincoln Street, Manchester, MA, 01944, United States, 1 9788101169, 2jackcummins@gmail.com %K COVID-19 %K vaccine %K vaccination %K Twitter %K infodemiology %K infoveillance %K topic %K sentiment %K opinion %K discussion %K communication %K social media %K perception %K concern %K emotion %K natural language processing %D 2022 %7 23.2.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X %M 35195531 %R 10.2196/31978 %U https://www.jmir.org/2022/2/e31978 %U https://doi.org/10.2196/31978 %U http://www.ncbi.nlm.nih.gov/pubmed/35195531 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 2 %P e31569 %T Authors’ Reply: Understanding the Impact of Social Media Information and Misinformation Producers on Health Information Seeking. Comment on “Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study” %A Neely,Stephen %A Eldredge,Christina %A Sanders,Ronald %+ School of Public Affairs, University of South Florida, 4202 E Fowler Ave, SOC 107, Tampa, FL, 33620, United States, 1 8139748423, srneely@usf.edu %K social media %K internet %K communication %K public health %K COVID-19 %K usage %K United States %K information seeking %K web-based health information %K online health information %K survey %K mistrust %K vaccination %K misinformation %D 2022 %7 4.2.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35119376 %R 10.2196/31569 %U https://www.jmir.org/2022/2/e31569 %U https://doi.org/10.2196/31569 %U http://www.ncbi.nlm.nih.gov/pubmed/35119376 %0 Journal Article %@ 1438-8871 %I JMIR Publications %V 24 %N 2 %P e34702 %T Digital Inclusion as a Foundation for Health Equity. Comment on “Expanding Video Consultation Services at Pace and Scale in Scotland During the COVID-19 Pandemic: National Mixed Methods Case Study” %A Weatherburn,Christopher %+ National Health Service National Services Scotland, Gyle Square 1, South Gyle Crescent, Edinburgh, EH12 9EB, United Kingdom, 44 1382 436343 ext 6337, christopher.weatherburn@nhs.scot %K technology-enabled care %K video consultations %K quality improvement %K COVID-19 %K PERCS framework %K remote consultation %K Scotland %K general practice %K digital inclusion %K digital divide %K digital health equity %D 2022 %7 3.2.2022 %9 Letter to the Editor %J J Med Internet Res %G English %X   %M 35038303 %R 10.2196/34702 %U https://www.jmir.org/2022/2/e34702 %U https://doi.org/10.2196/34702 %U http://www.ncbi.nlm.nih.gov/pubmed/35038303