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http://dx.doi.org/10.1103/physrevb.38.8954 | DOI Listing |
PLoS One
January 2025
Department of Care Ethics, University of Humanistic Studies, Utrecht, The Netherlands.
Background: People with the chronic disease Multiple Sclerosis are subjected to different degrees of profound uncertainty. Uncertainty has been linked to adverse psychological effects such as feelings of heightened vulnerability, avoidance of decision-making, fear, worry, anxiety disorders, and even depression. Research into Multiple Sclerosis has a predominant focus on the scientific, practical, and psychosocial issues of uncertainty.
View Article and Find Full Text PDFJ Ren Care
March 2025
Department of Nephrology, Odense University Hospital, Odense, Denmark.
Background: Patients with chronic kidney disease and their families request early and continuous advance care planning. Based on user involvement, an advance care planning intervention was developed to support patients, family members and healthcare professionals (HCPs) in advance care planning conversations in a nephrology outpatient setting.
Objective: To explore the experiences and perceptions of an advance care planning intervention among patients with chronic kidney disease, family members and healthcare professionals.
BMC Public Health
January 2025
Department of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.
Background: Teenage childbirth is an issue of social and public health concern in Ghana, with high prevalence in some regions, including the Central Region. There is a dire need to understand the experiences of teenagers beyond pregnancies to facilitate comprehensive sexual and reproductive health information and service provision. We explored the postnatal experiences of teenage mothers in five communities in the Central Region of Ghana.
View Article and Find Full Text PDFCurr Opin Microbiol
January 2025
Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address:
Designing microbiomes for applications in health, bioengineering, and sustainability is intrinsically linked to a fundamental theoretical understanding of the rules governing microbial community assembly. Microbial ecologists have used a range of mathematical models to understand, predict, and control microbiomes, ranging from mechanistic models, putting microbial populations and their interactions as the focus, to purely statistical approaches, searching for patterns in empirical and experimental data. We review the success and limitations of these modeling approaches when designing novel microbiomes, especially when guided by (inevitably) incomplete experimental data.
View Article and Find Full Text PDFNurs Crit Care
January 2025
Departament d'Infermeria, Universitat Rovira i Virgili, Campus Catalunya, Tarragona, Spain.
Background: The process of discharging the critical patient to the ward (discharge from critical care to the general ward-DCCW) is often described as an experience involving uncertainty which may affect the patient's quality of life and ability to cope. Coping with uncertainty is an individual response not related to the course of the illness that is dependent on external and internal resources and the ability to utilize them. Mishel's theory of uncertainty identifies aspects of care that can shape the experience of uncertainty associated with the illness.
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