Purpose: The purpose of this study was to understand conversations and to identify typical conversational problems between nurses and patients with dementia.
Method: A conversation analysis method was used. The data was collected in a geriatric institutional setting, using a videotape recorder, and transcribed. The transcribed data was analyzed in terms of expressions, contents, and relationships to identify communicative problems and their resolutions.
Results: Among a total of 532 episodes, 440(82.7%) were identified as nurse-involved episodes. In addition, 66 of the 440 episodes were selected based on the significance of the conversation. The communicative problems between nurses and patients in terms of expressions were identified as "directive and authoritative expressions", "emotional and competitive expressions", "evasive and on-looking expressions", and "excessive use of title only", such as calling them granny or grandpa without proper names. In terms of content and relationships, "lack of themes in psychosocial areas" and "nurse-led relations" were identified respectively as communicative problems.
Conclusion: The results of this study will provide substantial guidelines for nurses in caring for elderly patients with dementia by deeply understanding linguistic structures and problems of everyday conversations between nurses and patients with dementia.
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http://dx.doi.org/10.4040/jkan.2006.36.7.1253 | DOI Listing |
Ann Neurol
January 2025
Research Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Objective: Despite diagnostic criteria refinements, Parkinson's disease (PD) clinical diagnosis still suffers from a not satisfying accuracy, with the post-mortem examination as the gold standard for diagnosis. Seminal clinicopathological series highlighted that a relevant number of patients alive-diagnosed with idiopathic PD have an alternative post-mortem diagnosis. We evaluated the diagnostic accuracy of PD comparing the in-vivo clinical diagnosis with the post-mortem diagnosis performed through the pathological examination in 2 groups.
View Article and Find Full Text PDFZ Gerontol Geriatr
January 2025
Geriatrie, Universität Witten-Herdecke, Alfred Herrhausenstraße 50, 58455, Witten, Germany.
Chronic obstructive pulmonary disease (COPD) is a frequent disease from which approximately 8% of individuals aged 40 years and above suffer. The prevalence increases up to fivefold as age advances. Following an introduction including the etiology, measurement, characteristic features and classification of COPD, this article presents the consensus recommendations of the German Working Group on Pneumology in Older Patients.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFNeurology
February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
View Article and Find Full Text PDFPLoS One
January 2025
School of Emergency Management, Institute of Disaster Prevention, Sanhe, Hebei, China.
With the increasing number of patients with Alzheimer's Disease (AD), the demand for early diagnosis and intervention is becoming increasingly urgent. The traditional detection methods for Alzheimer's disease mainly rely on clinical symptoms, biomarkers, and imaging examinations. However, these methods have limitations in the early detection of Alzheimer's disease, such as strong subjectivity in diagnostic criteria, high detection costs, and high misdiagnosis rates.
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