Published: Sept. 16, 2024
Language: Английский
Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e60380 - e60380
Published: Dec. 3, 2024
Background The number of people with diabetes is on the rise globally. Self-management and health education patients are keys to control diabetes. With development digital therapies artificial intelligence, chatbots have potential provide health-related information improve accessibility effectiveness in field patient self-management. Objective This study systematically reviews current research status self-management support chatbots. Methods A systematic review meta-analysis that can help was conducted. PubMed Web Science databases were searched using keywords around diabetes, chatbots, conversational agents, virtual assistants, more. search period from date creation January 1, 2023. Research articles English fit topic selected, did not or available full text excluded. Results In total, 25 studies included review. terms type, all could be classified as design (n=8, 32%), pilot intervention (n=9, 36%). Many adopted a nonrandomized controlled trial (n=6, 24%), there only 1 (4%) randomized trial. strategy, divided into quantitative (n=10, 40%), mixed qualitative (n=1, 4%). evaluation criteria for chatbot technical performance evaluation, user experience evaluation. Most (n=17, 68%) provided management focused diet, exercise, glucose monitoring, medications, complications, few (n=2, 8%) mental health. found effective lowering blood (mean difference 0.30, 95% CI 0.04-0.55; P=.02) had no significant effect reducing weight 1.41, –2.29 5.11; P=.46) compared baseline. Conclusions Chatbots However, evidence level low, higher (such trials) needed strengthen base. More use strategy fully strengths both research. Appropriate innovative theoretical frameworks should used study. addition, researchers focus personalized user-friendly interactive features well improvements design.
Language: Английский
Citations
5
Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22
Published: Feb. 24, 2025
Language: Английский
Citations
0
Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e57697 - e57697
Published: March 13, 2025
Background Introduction: Patients with inflammatory rheumatic diseases (IRDs) frequently experience drug-related problems (DRPs). DRPs can have negative health consequences and should be addressed promptly to prevent complications. A digital human, which is an embodied conversational agent, could provide medication-related information in a time- place-independent manner support patients preventing decreasing DRPs. Objective This study aims identify factors that influence the intention of IRDs use human retrieve information. Methods qualitative 3 in-person focus groups was conducted among adult diagnosed IRD Netherlands. The prototype innovative tool provides spoken answers questions linked topic, such as (instructional) videos, drug leaflets, other relevant sources. Before group, participants completed preparatory exercise at home become familiar human. semistructured interview guide based on Proctor framework for implementation determinants used about acceptability, adoption, appropriateness, costs, feasibility, fidelity, penetration, sustainability Focus were recorded, transcribed, analyzed thematically. Results included 22 patients, median age 68 (IQR 52-75) years, whom 64% (n=22) female. In total, 6 themes describing influencing patients’ identified: (1) degree individual needs are met; (2) confidence one’s ability human; (3) using resembles interacting (4) technical functioning (5) privacy security; (6) expected benefit Conclusions novel influenced by related each patient’s their features benefits These identified considered during further development increase future adoption. Thereafter, effect applying instrument improve self-management regarding researched.
Language: Английский
Citations
0
BMJ Open, Journal Year: 2025, Volume and Issue: 15(3), P. e095360 - e095360
Published: March 1, 2025
Introduction Embodied conversational agents (ECAs) are computer-based dialogue systems designed to simulate face-to-face interactions by incorporating human-like physical attributes. Their capacity establish and maintain an empathic relationship in patient positions them as innovative tools that facilitate shared decision-making (SDM). To systematically synthesise the existing evidence concerning development application of ECAs promoting SDM, this protocol delineates a scoping review identify present available within domain. Specifically, outlines will concentrate on key features context including their appearance, mechanisms emotional models, framework, well implementation evaluation clinical settings. Methods analysis The framework established Arksey O’Malley be employed guide process. This systematic retrieval seven databases, PubMed, EMBASE, PsycINFO, Web Science, Cumulative Index Nursing Allied Health Literature, Institute Electrical Electronics Engineers (IEEE) Xplore Digital Library Association for Computing Machinery (ACM) Library. search strategy has been developed conducted across each database, from its inception September 2024. Two researchers conduct literature screening data extraction independently. results organised presented through narrative abstracts, tables and/or figures. Ethics dissemination Ethical approval is not necessary review, it uses have previously collected. Furthermore, obtained reported peer-reviewed journal. Trial registration number Open Science Framework Registries ( https://doi.org/10.17605/OSF.IO/BN3CM ).
Language: Английский
Citations
0
Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 7, 2025
Language: Английский
Citations
0
Business & Information Systems Engineering, Journal Year: 2024, Volume and Issue: 66(3), P. 377 - 400
Published: May 29, 2024
Abstract Especially older persons are prone to disabilities and chronic diseases. These conditions pose a worldwide challenge, leading deteriorating health, economic strain, loss of life, decline in the quality life (QoL). Therefore, healthcare institutions seek enhance their strategies for disease prevention management uphold well-being community. This leads need regain independence improve QoL properly rehabilitate patients. Virtual Coaches (VCs) form Embodied Conversational Agents seen as relevant digital intervention support continuity care. The paper at hand reports on Design Science Research project about implementing VC solution patients' home rehabilitation. study underpins four pivotal design principles: Adaptivity, Coaching Strategy, Multi-user Interface, Sustainable Infrastructure. final artifact was tested with 80 patients which were supported continuing inpatient rehabilitation by using VC. evaluation shows both positive results usability acceptance different use cases impact QoL. Given comprehensive clinical evaluation, system represents safe appealing ensuring medical care access personalized cognitive motor function treatments.
Language: Английский
Citations
2
Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e58987 - e58987
Published: Oct. 17, 2024
While bibliometric studies of individual journals have been conducted, to the best our knowledge, mapping has not yet utilized analyze literature published by Journal Medical Internet Research (JMIR).
Language: Английский
Citations
2
Journal of Behavioral Medicine, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 28, 2024
Language: Английский
Citations
2
JMIR Formative Research, Journal Year: 2024, Volume and Issue: 8, P. e53154 - e53154
Published: March 16, 2024
The COVID-19 pandemic has forced many health care providers to make changes in their treatment, with telemedicine being expanded on a large scale. An earlier study investigated the acceptance of telephone calls but did not record satisfaction treatment or patients' preferences. This warranted follow-up investigate acceptance, satisfaction, and preferences regarding telemedicine, comprising phone consultations, among recipients.
Language: Английский
Citations
1
Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 372 - 388
Published: June 28, 2024
Alzheimer's disease (AD) is the main cause of dementia in older persons. Preclinical AD can persist anywhere from six to ten years, depending on when it first appears. Artificial intelligence (AI) create machines that are capable doing tasks would typically require human intelligence. Machine learning (ML), deep (DL), and natural language processing (NLP) just a few approaches used AI. tools increasingly being predict beginning or course diseases, addition aiding diagnosis. AI has shown be useful tool for improving customized care by providing best possible treatment plans. diagnose provide programs, assist medical practitioners making decisions. But order apply healthcare ethically successfully, problems with bias, security data, need understanding must addressed.
Language: Английский
Citations
1