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BackgroundDepression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users. ObjectiveThe purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. MethodsA scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool. ResultsIn total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found. ConclusionsDigital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

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: Professionals, especially in the field of digital public health (DiPH), are crucial for a successful digital transformation in social and health care. However, it is still unclear to what extent academic professionals are taught DiPH-related content in their public health (PH) studies., Methods: This study used a systematic module handbook analysis to analyze accredited full-time PH-oriented degree programs at public colleges and universities in Germany for DiPH-related module content. Through the "Hochschulkompass" platform and the member programs of the German Public Health Association (DGPH), 422 programs were identified. Included module handbooks were evaluated by content analysis using MAXQDA., Results: Only 10 bachelor and 6 master programs contain DiPH. They are heterogeneous in their focus and belong to different subfields of public health ("methods, definition, history, and social medicine" = 5; "health management" = 5; "digital health" = 3; "health services research" = 2; "health communication" = 1). Differences were found between the common understanding of DiPH in academia and the content in the module handbooks. The content identified in the analysis focuses mainly on technical areas. Social and health science content is only marginally present., Discussion: The heterogeneous study programs with a connection to DiPH allow academic PH specialists to develop specific profiles. To achieve comprehensive competencies in DiPH, there is a need for further development of modules with relevance to the respective degree program. The results could be used for the (further) development of relevant modules and a core curriculum in DiPH., (© 2024. The Author(s).)

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.)