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Migraines are one of the most common and expensive neurological diseases worldwide. Non-pharmacological and digitally delivered treatment options have long been used in the treatment of migraines. For instance, migraine management tools, online migraine diagnosis or digitally networked patients have been used. Recently, applications of ChatGPT are used in fields of healthcare ranging from identifying potential research topics to assisting professionals in clinical diagnosis and helping patients in managing their health. Despite advances in migraine management, only a minority of patients are adequately informed and treated. It is important to provide these patients with information to help them manage the symptoms and their daily activities. The primary aim of this case study was to examine the appropriateness of ChatGPT to handle symptom descriptions responsibly, suggest supplementary assistance from credible sources, provide valuable perspectives on treatment options, and exhibit potential influences on daily life for patients with migraines. Using a deductive, qualitative study, ten interactions with ChatGPT on different migraine types were analyzed through semi-structured interviews. ChatGPT provided relevant information aligned with common scientific patient resources. Responses were generally intelligible and situationally appropriate, providing personalized insights despite occasional discrepancies in interaction. ChatGPT's empathetic tone and linguistic clarity encouraged user engagement. However, source citations were found to be inconsistent and, in some cases, not comprehensible, which affected the overall comprehensibility of the information. ChatGPT might be promising for patients seeking information on migraine conditions. Its user-specific responses demonstrate potential benefits over static web-based sources. However, reproducibility and accuracy issues highlight the need for digital health literacy. The findings underscore the necessity for continuously evaluating AI systems and their broader societal implications in health communication. [ABSTRACT FROM AUTHOR]

Background: Decision support systems based on artificial intelligence might optimize antibiotic prescribing in hospitals and prevent the development of antimicrobial resistance. The aim of this study was to identify impeding and facilitating factors for successful implementation from the perspective of health professionals., Methods: Problem-centered individual interviews were conducted with health professionals working in hospitals. Data evaluation was based on the structured qualitative content analysis according Kuckartz., Results: Attitudes of health professionals were presented along the Human-Organization -Technology-fit model. Technological and organizational themes were the most important factors for system implementation. Especially, compatibility with existing systems and user-friendliness were seen to play a major role in successful implementation. Additionally, the training of potential users and the technical equipment of the organization were considered essential. Finally, the importance of promoting technical skills of potential users in the long term and creating trust in the benefits of the system were highlighted., Conclusion: The identified factors provide a basis for prioritizing and quantifying needs and attitudes in a next step. It becomes clear that, beside technological factors, attention to context-specific and user-related conditions are of fundamental importance to ensure successful implementation and system trust in the long term., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).)

Objective: User acceptance of digital health interventions in light to moderate depressive disorders has been rudimentarily researched and is examined in this study., Methods: Problem-centered individual interviews were conducted with 3 affected persons, 3 relatives and 13 health care professionals. The data evaluation was based on the structured qualitative content analysis., Results: Along the Unified Theory of Acceptance and Use of Technology attitudes of affected persons, relatives and health care professionals were presented. Expectations of performance and the supportive framework conditions were the most significant influencing predictors for the positive intention to use., Conclusion: The results provide a basis for prioritizing needs and attitudes in next step. In terms of ethical, sustainable and economical use further research on user acceptance is required., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)

Background: Breast cancer continues to be the most common maligned tumor disease in women. Diagnosis and treatment-related side effects affect functioning of women in the long run. The provision of rehabilitation aftercare services for breast cancer survivors is often limited by resources and access. Telemedicine seems to be a potential way of the remote delivery of rehabilitation aftercare. The aim of this systematic review is to examine the efficacy of telemedicine-based aftercare interventions for breast cancer survivors regarding specific outcomes of functioning., Methods: A systematic search was conducted in April to May 2020 in the databases Pubmed and The Cochrane Library and has been updated in August 2020. Only randomized controlled trials were considered, that examined the efficacy of telemedicine-based interventions for the aftercare of women with breast cancer., Results: In total, 11 publications of 10 intervention studies were identified and included in this review. No study was found from Germany. In general, studies were classified as psychosocial interventions and interventions for lifestyle changes. Regarding the between-study heterogeneity the results indicate positive effects in certain parameters of functioning (therapy-induced menopausal symptoms, fatigue, sleep functions, adherence). However, for certain of the outcomes (mental functions like emotional and cognitive functions, health-related quality of life) there is no sufficient evidence for the efficacy of telemedicine-based interventions in the aftercare for women with breast cancer., Conclusion: The results indicate the need of an evidence-based practice in telemedicine-based interventions in the aftercare for women with breast cancer. In future, well-designed randomized controlled trials are needed in Germany to systematically explore the efficacy of telemedicine-based aftercare interventions., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)