Effects of a nurse-led telehealth self-care promotion programmes on the quality of life of community-dwelling older adults: A systematic review and meta-analysis. (Preprint)

2021 ◽  
Author(s):  
Arkers Kwan Ching Wong ◽  
Jonathan Bayuo ◽  
Frances Kam Yuet Wong ◽  
Wing Shan Yuen ◽  
Athena Yin Lam Lee ◽  
...  

BACKGROUND In recent years, telehealth has become a common channel for healthcare professionals to use to promote health and provide distance care. Coronavirus disease (COVID-19) has further fostered the widespread use of this new technology, which can improve access to care while protecting the community from exposure to infection by direct personal contact, and reduce the time and cost of travelling for both healthcare users and providers. This is especially true for community-dwelling older adults who have multiple chronic diseases and require frequent hospital visits. Nurses are globally recognized as healthcare professionals who provide effective community-based care to older adults, facilitating their desire to age in place. However, to date, it is unclear whether the use of telehealth can facilitate their work of promoting self-care to community-dwelling older adults. Objective: We aimed to summarize findings from randomized controlled trials on the effect of nurse-led telehealth self-care promotion programmes compared to the usual onsite or face-to-face services on the quality of life, self-efficacy, depression, and hospital admissions among community-dwelling older adults. OBJECTIVE We aimed to summarize findings from randomized controlled trials on the effect of nurse-led telehealth self-care promotion programmes compared to the usual onsite or face-to-face services on the quality of life, self-efficacy, depression, and hospital admissions among community-dwelling older adults. METHODS A search of six major databases was undertaken of relevant studies published from May 2011 to April 2021. Standardized mean differences (SMDs) and their 95% confidence intervals were calculated from post-intervention outcomes for continuous data, while the odds ratio (ORs) was obtained for dichotomous data using the Mantel-Haenszel test. RESULTS From 1173 possible publications, 13 trials involving a total of 4097 participants were included in this meta-analysis. Compared to the control groups, the intervention groups of community-dwelling older adults significantly improved in overall quality of life (SMD=0.12; 95% CI: 0.03 to 0.20; p=.006; I2=21%), self-efficacy (SMD=0.19; 95% CI: 0.08 to 0.30; p=.0005; I2=0%), and depression level (SMD=-0.22; 95% CI: -0.36 to -0.08; p=.003; I2=89%). CONCLUSIONS This meta-analysis suggests that employing telehealth in nurse-led self-care promotion programmes may have a positive impact on older adults, although more studies are needed to strengthen the evidence base, particularly regarding organization and delivery. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42021257299; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=257299.

2022 ◽  
Author(s):  
Cassandra D'Amore ◽  
Julie C Reid ◽  
Matthew Chan ◽  
Samuel Fan ◽  
Amanda Huang ◽  
...  

BACKGROUND This is a systematic review of randomized controlled trials and a meta-analysis comparing smart-technology to face-to-face physical activity (PA) interventions, in community-dwelling older adults, mean age greater than or equal 60 years. OBJECTIVE To determine the effect of smart-technology interventions compared to face-to-face PA interventions on PA and physical function in older adults. Our secondary outcomes were depression, anxiety, and health-related quality of life. METHODS We searched four electronic databases from inception to February 2021. Two independent reviewers screened titles/abstracts, full texts, and performed data extraction and risk of bias assessments using the Cochrane risk of bias tool. GRADE was used to evaluate the quality of the evidence. We provided a narrative synthesis on all included studies and, where possible, we performed meta-analyses for similar outcomes. RESULTS 19 studies with a total of 3455 patients were included. Random-effects meta-analyses showed that smart-technology interventions resulted in improved step count (mean difference 1440 steps, 95% confidence interval (CI) 500, 2390) and total PA (standardized mean difference 0.17, 95% CI 0.02, 0.32) compared to face-face interventions. The quality of the evidence for the effects of smart-technology interventions was very low based on GRADE criteria. There was no difference between groups for measures of physical function. CONCLUSIONS Interventions that include smart-technology may improve daily step counts by an average of 1440 steps in community dwelling older adults, however the quality of the evidence was very low. Future studies are needed to improve the certainty of results.


2016 ◽  
Vol 24 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Ing-Mari Dohrn ◽  
Maria Hagströmer ◽  
Mai-Lis Hellénius ◽  
Agneta Ståhle

Aim:To describe objectively-measured physical activity levels and patterns among community-dwelling older adults with osteoporosis, impaired balance, and fear of falling, and to explore the associations with gait, balance performance, falls self-efficacy, and health-related quality of life (HRQoL).Methods:Ninety-four individuals (75.6 ± 5.4 years) were included. Physical activity was assessed with pedometers and accelerometers. Mean steps/day, dichotomized into < 5,000 or = 5,000 steps/day, and time spent in different physical activity intensities were analyzed. Gait was assessed with a GAITRite walkway, balance performance was assessed with the modified figure-eight test and oneleg stance, falls self-efficacy was assessed with the Falls Efficacy Scale International, and HRQoL was assessed with Short Form-36.Results:Mean steps/day were 6,201 (991–17,156) and 40% reported < 5,000 steps/day. Participants with < 5,000 steps/day spent more time sedentary, had slower gait speed, poorer balance performance, and lower HRQoL than participants with ≥ 5,000 steps/day. No participants with < 5,000 met the recommended level of physical activity.


2017 ◽  
Vol 73 ◽  
pp. 234-239 ◽  
Author(s):  
Shunsuke Murata ◽  
Takehiko Doi ◽  
Ryuichi Sawa ◽  
Takashi Saito ◽  
Ryo Nakamura ◽  
...  

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