Background: Interprofessional collaboration between nurses and physicians is a recurrent challenge in daily clinical practice. To ameliorate the situation, quantitative or qualitative studies are conducted. However, the results of these studies have often been limited by the methods chosen. Aim: To describe the synthesis of interprofessional collaboration from the nursing perspective by triangulating quantitative and qualitative data. Method: Data triangulation was performed as a sub-project of the interprofessional Sinergia DRG Research program. Initially, quantitative and qualitative data were analyzed separately in a mixed methods design. By means of triangulation a „meta-matrix“ resulted in a four-step process. Results: The „meta-matrix“ displays all relevant quantitative and qualitative results as well as their interrelations on one page. Relevance, influencing factors as well as consequences of interprofessional collaboration for patients, relatives and systems become visible. Conclusion: For the first time, the interprofessional collaboration from the nursing perspective at five Swiss hospitals is shown in a „meta-matrix“. The consequences of insufficient collaboration between nurses and physicians are considerable. This is why it’s necessary to invest in interprofessional concepts. In the „meta-matrix“ the factors which influence the interprofessional collaboration positively or negatively are visible.
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http://dx.doi.org/10.1024/1012-5302/a000531 | DOI Listing |
JMIR Res Protoc
January 2025
Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Background: To successfully design, develop, implement, and deliver digital health services that provide value, they should be cocreated with patients. However, occasionally, the value may also be codestructed. In the field of health care, the concepts of value cocreation and codestruction still need to be better established within emerging digital health services.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFJ Public Health Manag Pract
November 2024
Author Affiliations: Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, South Carolina (Ms Draper, Dr Younginer, and Mr Samin); Center for Excellence in Public Health, University of New England, Portland, Maine (Dr Rodriguez and Ms Bruno); and Department of Nutrition and Food Sciences, University of Rhode Island, Providence, Rhode Island (Dr Balestracci).
Objective: The study examines: 1) impacts of COVID-19 on the work of Supplemental Nutrition Assistance Program - Education (SNAP-Ed) implementers, 2) facilitators and barriers experienced in making adaptations, and 3) factors that would have helped with preparedness to adapt.
Design, Setting, And Participants: A purposive sample of 181 SNAP-Ed program implementers from across five states completed a survey or interview based on the study aims. Quantitative data was summarized with descriptive statistics and qualitative data was analyzed thematically.
PLoS One
January 2025
College of Arts, Anhui Xinhua University, Hefei, China.
To improve the expressiveness and realism of illustration images, the experiment innovatively combines the attention mechanism with the cycle consistency adversarial network and proposes an efficient style transfer method for illustration images. The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. Through a series of quantitative and qualitative experiments, high-quality style transfer is achieved, especially while retaining the original features of the illustration.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Health Sciences and Welfare, Research Group M3O, Methodology, Methods, Models and Outcomes of Health and Social Sciences, University of Vic-Central University of Catalonia, Vic, Spain.
Background: Pakistani women are among the most affected groups by obesity and heart failure in Catalonia. Due to cultural and linguistic barriers, their participation in standard health promotion programs is limited. To address this issue, we implemented a culturally and linguistically appropriate food education program called the PakCat Program.
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