Background: Frail older adults are high consumers of medical care due to their age and multiple chronic conditions. Regular contact with a case manager has been proven to increase well-being of frail older adults and reduce their number of health-care visits. Skype calls through tablet PCs can offer easier communication.
Objective: This paper examines frail older adults' use of tablet computers and Skype, with their case managers.
Method: Interviews were conducted on 15 frail older adults. A content analysis was used to structure and analyze the data.
Results: The results indicate that tablet computers were experienced in a positive way for most frail older adults. Conflicting feelings did emerge, however, as to whether the frail elderly would adopt this in the long run. Skype needs to be tested further as to whether this is a good solution for communication with their case managers. Strong technical support and well-functioning technology are important elements to facilitate use.
Conclusion: Using Skype and tablet PCs do have potential for frail older adults, but need to be tested further.
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http://dx.doi.org/10.3109/17538157.2015.1033528 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Orthopedics, Pidu District People's Hospital, The Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, China.
Background: The Clinical Frailty Scale (CFS) is a tool to assess the overall health of older adults. There are few reports of CFS and prognosis of ankle fracture. The objective of this study was to determine the predictive power of the CFS for adverse clinical and radiographic outcomes after surgery in elderly patients with trimalleolar fractures.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Background: During the COVID-19 pandemic, nursing home (NH) residents faced the highest risk of severe COVID-19 disease and mortality. Due to their frailty status, comorbidity burden can serve as a useful predictive indicator of vulnerability in this frail population. However, the prognostic value of these cumulative comorbidity scores like the Charlson comorbidity index (CCI) remained unclear in this population.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Comprehensive Surgery, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, No. 28 Fu Xing Road, Beijing, 100853, China.
Background: The FRAIL scale is a concise and user-friendly tool for frailty assessment. However, its effectiveness in predicting 1-year mortality among older patients undergoing hip fracture surgery remains unclear. This study explored the relationship between preoperative frailty, as measured by the FRAIL scale, and 1-year mortality after surgery in this population.
View Article and Find Full Text PDFDement Geriatr Cogn Disord
January 2025
Objectives: Cognitive impairment among older adults is a significant public health concern worldwide. This study aims to investigate the prevalence of cognitive impairment, its correlates, and the mediating role of depressive symptoms between frailty and cognitive impairment among older adults in northeast region of China.
Methods: This was a cross-sectional study which used the intercept interview method to recruit participants.
JMIR Aging
January 2025
Department of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106, Zhongshan 2nd Road, Yuexiu District, Guangzhou, China, 0898-66571684.
Background: The utility of aging metrics that incorporate cognitive and physical function is not fully understood.
Objective: We aim to compare the predictive capacities of 3 distinct aging metrics-motoric cognitive risk syndrome (MCR), physio-cognitive decline syndrome (PCDS), and cognitive frailty (CF)-for incident dementia and all-cause mortality among community-dwelling older adults.
Methods: We used longitudinal data from waves 10-15 of the Health and Retirement Study.
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