Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: Persons with dementia (PWDs) and their caregivers often face difficult housing decisions, that is, decisions about their living arrangements, in which the perspectives of all members of the care network should be involved.
Objective: We performed a qualitative data analysis to assess the extent to which housing decisions for PWDs with their formal and informal caregivers correspond to an interprofessional shared decision making (IP-SDM) approach, and what light this approach sheds on their experiences with decision making.
Research Design And Methods: We used the IP-SDM model to content-code and analyze data from 4 care networks, each consisting of a PWD, 2 informal and 2 formal caregivers.
Results: Decision making in all networks corresponded to most IP-SDM elements, but never included all network members. Decision making was guided by the wishes of the PWD, but their actual involvement decreased over time.
Discussion: Results show that while the IP-SDM model was helpful, the options change with cognitive decline and moving to a nursing home can become inevitable in spite of preferences.
Implications: Timely and honest communication helps to mitigate the distress of deciding against patient preferences, as could advance care planning about future housing transitions.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/geront/gny073 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comparison of Navier-Stokes and lattice Boltzmann solvers for subject-specific modelling of intracranial aneurysms.
Comput Biol Med
September 2025
INSIGNEO Institute for in silico medicine, University of Sheffield, UK; School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, UK. Electronic address:
Modelling cardiovascular disease is at the forefront of efforts to use computational tools to assist in the analysis and forecasting of an individual's state of health. To build trust in such tools, it is crucial to understand how different approaches perform when applied to a nominally identical scenario, both singularly and across a population. To examine such differences, we have studied the flow in aneurysms located on the internal carotid artery and middle cerebral artery using the commercial solver Ansys CFX and the open-source code HemeLB.
View Article and Find Full Text PDFUnderstanding and Addressing Challenges With Electronic Health Record Use in Gynecological Oncology: Cross-Sectional Survey of Multidisciplinary Professionals in the United Kingdom and Co-Design of an Integrated Informatics Platform to Support Clinical Decision-Making.
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFDeep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.
JMIR Res Protoc
September 2025
Department of Urology, Faculty of Medicine, Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Background: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses.
View Article and Find Full Text PDFExplainable Deep Learning Framework for Classifying Mandibular Fractures on Panoramic Radiographs.
J Craniofac Surg
September 2025
Department of Oral and Maxillofacial Surgery, University of Ulsan Hospital, University of Ulsan College of Medicine.
This study aimed to develop a deep-learning model for the automatic classification of mandibular fractures using panoramic radiographs. A pretrained convolutional neural network (CNN) was used to classify fractures based on a novel, clinically relevant classification system. The dataset comprised 800 panoramic radiographs obtained from patients with facial trauma.
View Article and Find Full Text PDFInfluences on Food Choices of Cambodian Women for Themselves and Their Families.
Community Health Equity Res Policy
September 2025
College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia.
BackgroundThe nutritional status of Cambodian women and children remain poor despite implementation of dietary intake interventions. Cambodia-specific studies have explored how education influences nutrition and health behavior, but not factors influencing Cambodian women's food decision-making for themselves and their families.ObjectiveTo understand Cambodian women's food decision-making, particularly related to barriers and enablers of healthy eating for themselves and their families.
View Article and Find Full Text PDF