%0 Journal Article %@ 2561-326X %I JMIR Publications %V 9 %N %P e58366 %T The AI Reviewer: Evaluating AI’s Role in Citation Screening for Streamlined Systematic Reviews %A Ghossein,Jamie %A Hryciw,Brett N %A Ramsay,Tim %A Kyeremanteng,Kwadwo %K article screening %K artificial intelligence %K systematic review %K AI %K large language model %K LLM %K screening %K analysis %K reviewer %K app %K ChatGPT 3.5 %K chatbot %K dataset %K data %K adoption %D 2025 %7 28.3.2025 %9 %J JMIR Form Res %G English %X %R 10.2196/58366 %U https://formative.jmir.org/2025/1/e58366 %U https://doi.org/10.2196/58366 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 9 %N %P e50536 %T Exploring Public Sentiment on the Repurposing of Ivermectin for COVID-19 Treatment: Cross-Sectional Study Using Twitter Data %A Kautsar,Angga Prawira %A Sinuraya,Rano Kurnia %A van der Schans,Jurjen %A Postma,Maarten Jacobus %A Suwantika,Auliya A %+ Unit of Global Health, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713 AV, The Netherlands, 31 0503611111, angga.prawira@unpad.ac.id %K COVID-19 %K ivermectin %K sentiment analysis %K Twitter %K social media %K public health %K misinformation %K geolocation analysis %D 2025 %7 27.3.2025 %9 Research Letter %J JMIR Form Res %G English %X A sentiment analysis of 5051 Twitter posts from January 2022 found that 53.4% of them expressed positive views on ivermectin as a COVID-19 treatment, 35.6% of them were neutral, and 11% of them were negative, highlighting the polarized public perception and the need for careful interpretation of social media data in health communication. %M 40146987 %R 10.2196/50536 %U https://formative.jmir.org/2025/1/e50536 %U https://doi.org/10.2196/50536 %U http://www.ncbi.nlm.nih.gov/pubmed/40146987 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e64085 %T Understanding Patient Portal Uses and Needs: Cross-Sectional Study in a State Fair Setting %A Rajamani,Sripriya %A Austin,Robin %A Richwine,Chelsea %A Britt-Lalich,Malin %A Thakur,Madhur %A Odowa,Yasmin %A Jantraporn,Ratchada %A Marquard,Jenna %+ University of Minnesota, 6-174 Weaver Densford 308 Harvard St SE, Minneapolis, MN, 55455, United States, 1 651 278 7426, sripriya@umn.edu %K patient portals %K patient engagement %K health information technology %K consumer health informatics %K health informatics %K use %K online access %K medical records %K data access %K functionality %D 2024 %7 11.10.2024 %9 Research Letter %J JMIR Form Res %G English %X This study identified 22 features that are used and the needs for desired features/data in patient portals that enable online access to medical records. Data collected at a Midwestern state fair indicates that while most participants used patient portals, use and desirability of specific features varied widely. Identified needs for enhanced data access, portal functionality, and usability can be used to inform effective patient portal design. %M 39393063 %R 10.2196/64085 %U https://formative.jmir.org/2024/1/e64085 %U https://doi.org/10.2196/64085 %U http://www.ncbi.nlm.nih.gov/pubmed/39393063 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e63858 %T Supporting Weight Loss Among Parents of Children With a Disability: Lessons Learned From a Single-Arm Pilot Study %A Wisniewski,Payson %A Depuy,Julia %A Kim,Cassandra %A Garrison,Olivia %A Jerome,Gerald J %+ Department of Kinesiology, Towson University, 8000 York Road, Towson, MD, 21252, United States, 1 4107045283, gjerome@towson.edu %K weight loss %K obesity %K disability %K parent %K family %K child %K weight loss intervention %D 2024 %7 7.10.2024 %9 Research Letter %J JMIR Form Res %G English %X This study assessed weight change in the parents of children with disabilities following a 12-week, remotely delivered weight loss program focused on lifestyle modifications and found a significant median weight reduction of 3 kg from baseline to week 12. %M 39374058 %R 10.2196/63858 %U https://formative.jmir.org/2024/1/e63858 %U https://doi.org/10.2196/63858 %U http://www.ncbi.nlm.nih.gov/pubmed/39374058 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e55577 %T Benchmarking Large Language Models for Cervical Spondylosis %A Zhang,Boyan %A Du,Yueqi %A Duan,Wanru %A Chen,Zan %+ Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100000, China, 86 13911712120, chenzan66@163.com %K cervical spondylosis %K large language model %K LLM %K patient %K ChatGPT %D 2024 %7 5.8.2024 %9 Research Letter %J JMIR Form Res %G English %X Cervical spondylosis is the most common degenerative spinal disorder in modern societies. Patients require a great deal of medical knowledge, and large language models (LLMs) offer patients a novel and convenient tool for accessing medical advice. In this study, we collected the most frequently asked questions by patients with cervical spondylosis in clinical work and internet consultations. The accuracy of the answers provided by LLMs was evaluated and graded by 3 experienced spinal surgeons. Comparative analysis of responses showed that all LLMs could provide satisfactory results, and that among them, GPT-4 had the highest accuracy rate. Variation across each section in all LLMs revealed their ability boundaries and the development direction of artificial intelligence. %M 39102674 %R 10.2196/55577 %U https://formative.jmir.org/2024/1/e55577 %U https://doi.org/10.2196/55577 %U http://www.ncbi.nlm.nih.gov/pubmed/39102674 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e58263 %T Digitally Enabled Peer Support and Social Health Platform for Vulnerable Adults With Loneliness and Symptomatic Mental Illness: Cohort Analysis %A Bravata,Dena %A Russell,Daniel %A Fellows,Annette %A Goldman,Ron %A Pace,Elizabeth %+ Center for Primary Care and Outcomes Research, Stanford University, 1840 Lexington Av, San Mateo, CA, 94402, United States, 1 4157065829, dbravata@gmail.com %K peer support %K social isolation %K loneliness %K depression %K depressive %K mental health %K anxiety %K quality of life %K isolation %K isolated %K online support %K digital health %K vulnerable %K race %K racial ethnic %K ethnicity %K gender %K socioeconomic %K demographic %D 2024 %7 24.7.2024 %9 Research Letter %J JMIR Form Res %G English %X This study prospectively evaluated the effects of digitally enabled peer support on mental health outcomes and estimated medical cost reductions among vulnerable adults with symptomatic depression, anxiety, and significant loneliness to address the mental health crisis in the United States. %M 38941568 %R 10.2196/58263 %U https://formative.jmir.org/2024/1/e58263 %U https://doi.org/10.2196/58263 %U http://www.ncbi.nlm.nih.gov/pubmed/38941568 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e56165 %T Clinical Accuracy, Relevance, Clarity, and Emotional Sensitivity of Large Language Models to Surgical Patient Questions: Cross-Sectional Study %A Dagli,Mert Marcel %A Oettl,Felix Conrad %A Gujral,Jaskeerat %A Malhotra,Kashish %A Ghenbot,Yohannes %A Yoon,Jang W %A Ozturk,Ali K %A Welch,William C %+ Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, 801 Spruce Street, Philadelphia, PA, 19106, United States, 1 2672306493, marcel.dagli@pennmedicine.upenn.edu %K artificial intelligence %K AI %K natural language processing %K NLP %K large language model %K LLM %K generative AI %K cross-sectional study %K health information %K patient education %K clinical accuracy %K emotional sensitivity %K surgical patient %K surgery %K surgical %D 2024 %7 7.6.2024 %9 Research Letter %J JMIR Form Res %G English %X This cross-sectional study evaluates the clinical accuracy, relevance, clarity, and emotional sensitivity of responses to inquiries from patients undergoing surgery provided by large language models (LLMs), highlighting their potential as adjunct tools in patient communication and education. Our findings demonstrated high performance of LLMs across accuracy, relevance, clarity, and emotional sensitivity, with Anthropic’s Claude 2 outperforming OpenAI’s ChatGPT and Google’s Bard, suggesting LLMs’ potential to serve as complementary tools for enhanced information delivery and patient-surgeon interaction. %M 38848553 %R 10.2196/56165 %U https://formative.jmir.org/2024/1/e56165 %U https://doi.org/10.2196/56165 %U http://www.ncbi.nlm.nih.gov/pubmed/38848553 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e55202 %T A Health Information Technology Protocol to Enhance Colorectal Cancer Screening %A Baus,Adam %A Boatman,Dannell D %A Calkins,Andrea %A Pollard,Cecil %A Conn,Mary Ellen %A Subramanian,Sujha %A Kennedy-Rea,Stephenie %+ Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, 64 Medical Center Drive, PO Box 9190, Morgantown, WV, 26506, United States, 1 304 293 1083, abaus@hsc.wvu.edu %K electronic health record %K EHR %K colorectal cancer screening %K health information technology %K cancer %K colorectal cancer %D 2024 %7 19.4.2024 %9 Research Letter %J JMIR Form Res %G English %X This study addresses barriers to electronic health records–based colorectal cancer screening and follow-up in primary care through the development and implementation of a health information technology protocol. %M 38640474 %R 10.2196/55202 %U https://formative.jmir.org/2024/1/e55202 %U https://doi.org/10.2196/55202 %U http://www.ncbi.nlm.nih.gov/pubmed/38640474 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e51249 %T Smartwatch Versus Routine Tremor Documentation: Descriptive Comparison %A van Alen,Catharina Marie %A Brenner,Alexander %A Warnecke,Tobias %A Varghese,Julian %+ Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus 1, Bldg A11, Münster, 48149, Germany, 49 0251 8354 714, julian.varghese@uni-muenster.de %K Parkinson disease %K tremor %K smart wearables %K smartwatch %K mobile apps %K movement disorders %K tremor documentation %K tremor occurrence %K tremor score %D 2024 %7 20.3.2024 %9 Research Letter %J JMIR Form Res %G English %X We addressed the limitations of subjective clinical tremor assessment by comparing routine neurological evaluation with a Tremor Occurrence Score derived from smartwatch sensor data, among 142 participants with Parkinson disease and 77 healthy controls. Our findings highlight the potential of smartwatches for automated tremor detection as a valuable addition to conventional assessments, applicable in both clinical and home settings. %M 38506919 %R 10.2196/51249 %U https://formative.jmir.org/2024/1/e51249 %U https://doi.org/10.2196/51249 %U http://www.ncbi.nlm.nih.gov/pubmed/38506919 %0 Journal Article %@ 2561-326X %I JMIR Publications %V 8 %N %P e54632 %T The Relationship Between Changes in Mindfulness and Subsequent Changes in Well-Being Following Psychedelic Use: Prospective Cohort Study %A Jones,Grant %A Herrmann,Felipe %A Bear,Adam %A Carhart-Harris,Robin %A Kettner,Hannes %+ Harvard University, 32 Mill St Box 78, Cambridge, MA, 02138, United States, gmj005@g.harvard.edu %K psychedelics %K mindfulness %K observational %K web-based survey %K psychedelic %K meditation %K mental health %K anxiety %K depression %K survey %K surveys %K drug %K drugs %K substance use %K hallucinogen %K hallucinogens %D 2024 %7 4.3.2024 %9 Research Letter %J JMIR Form Res %G English %X This study demonstrates that changes in mindfulness predict subsequent changes in well-being in a data set including individuals who recently engaged in psychedelic use. %M 38437005 %R 10.2196/54632 %U https://formative.jmir.org/2024/1/e54632 %U https://doi.org/10.2196/54632 %U http://www.ncbi.nlm.nih.gov/pubmed/38437005