Rationale: Motor neurone disease (MND) is a neurodegenerative disease presenting with progressive weakness of voluntary muscles. For any condition, person-centred health care relies on the sharing of information and a mutual understanding of the person's needs and preferences. Decision making in MND becomes more complex as there is no cure and a high prevalence of co-morbid communication and/or cognitive difficulties.
Objective: To identify the reported impact of communication and/or cognitive impairment on patient and carer involvement in health care decision making in MND.
Methods: A review and synthesis of studies addressing issues of communication impairment and/or cognitive impairment in relation to decision making focussed on MND was conducted. Articles were excluded if they were reviews, case studies, conference papers, or commentaries. To be included studies needed to address issues of communication impairment or cognitive impairment specifically in relation to decision making. Relevant data were extracted verbatim and subjected to content analysis to support the narrative summary.
Results: Seventy-six articles were identified, and 35 articles screened. Six articles met inclusion criteria each describing examples of decision making in MND. There was limited data related to communication and/or cognitive impairment, and the impact these impairments may have on decision making despite recognition that many people with MND may lose verbal communication or develop subtle cognitive impairments. The literature is primarily from the perspective of others.
Conclusion: This review highlights that the current body of literature exploring decision making within the MND population presents us with extremely limited insights into the impact of communication and/or cognitive impairments on health care decision making. Extant literature focuses on interventions (namely, ventilation and gastrostomy), the broad process of decision making, or cognitive assessment of decision-making ability. Whilst most studies acknowledge that deficits in communication or cognition impact the decision-making process, this issue is not the focus of any study.
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http://dx.doi.org/10.1111/jep.13219 | DOI Listing |
Surgery
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy; Department of Hepatobiliary & General Surgery, IRCCS Humanitas Research Hospital, Milan, Italy. Electronic address:
Background: Communicating vessels among hepatic veins in patients with tumors invading/compressing hepatic veins at their caval confluence facilitate new surgical solutions. Although their recognition by intraoperative ultrasound has been described, the possibility of preoperative detection still remains uncertain. We aimed to develop a model to predict their presence before surgery.
View Article and Find Full Text PDFJ Neurosurg
January 2025
Departments of1Neurosurgery.
Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
INSERM, IMRBU955, Univ Paris Est Créteil, Créteil, France.
Purpose: Establishing an accurate prognosis remains challenging in older patients with cancer because of the population's heterogeneity and the current predictive models' reduced ability to capture the complex interactions between oncologic and geriatric predictors. We aim to develop and externally validate a new predictive score (the Geriatric Cancer Scoring System [GCSS]) to refine individualized prognosis for older patients with cancer during the first year after a geriatric assessment (GA).
Materials And Methods: Data were collected from two French prospective multicenter cohorts of patients with cancer 70 years and older, referred for GA: ELCAPA (training set January 2007-March 2016) and ONCODAGE (validation set August 2008-March 2010).
Am J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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