The impact of dietary factors on indices of chronic disease in older people: A systematic review

2017 ◽  
Vol 22 (2) ◽  
pp. 282-296 ◽  
Author(s):  
Caryl A. Nowson ◽  
C. Service ◽  
J. Appleton ◽  
J. A. Grieger
2020 ◽  
Vol 3 ◽  
pp. 64
Author(s):  
Camille Coyle ◽  
Sarah Buggy ◽  
Olivia Cagney ◽  
Louise Farragher ◽  
Caitriona Lee ◽  
...  

Background: The implementation of housing with support is rapidly expanding, particularly as life expectancy is increasing throughout the world. This expansion is likely to intensify in the context of coronavirus disease 2019 (COVID-19), which has revealed the risks of relying primarily on nursing homes. This mixed-methods systematic review aims to: 1) explore older people’s perceptions and experiences of housing with support and 2) examine the impact of providing housing with support for older people on their quality of life. Methods: The databases Ovid Medline, Ovid Social Policy & Practice, EBSCO CINAHL, and EBSCO SOCIndex will be searched, and grey literature will also be identified. Quality assessment will be carried out using Joanna Briggs Institute’s Critical Appraisal Checklist for Qualitative Research as well as a tool from the National Institutes of Health for observational cohort studies. This review will employ convergent parallel design; as such, qualitative and quantitative findings will be synthesised separately in the initial stage of analysis. The results from the qualitative and quantitative syntheses will then be integrated in the final stage of the analysis. Conclusion: This systematic review will synthesise the evidence regarding older people’s perceptions and experiences of housing with support and the impact of providing housing with support for older people on their quality of life.


2021 ◽  
Author(s):  
Ann Liljas ◽  
Lenke Morath ◽  
Bo Burström ◽  
Pär Schön ◽  
Janne Agerholm

Abstract Background: Infectious disease outbreaks are common in care homes, often with substantial impact on the rates of infection and mortality of the residents, who primarily are older people vulnerable to infections. There is growing evidence that organisational characteristics of staff and facility might play a role in infection outbreaks however such evidence have not previously been systematically reviewed. Therefore, this systematic review aims to examine the impact of facility and staff characteristics on the risk of infectious disease outbreaks in care homes.Methods: Five databases were searched. Studies considered for inclusion were of any design reporting on an outbreak of any infectious disease in one or more care homes providing care for primarily older people with original data on: facility size, facility location (urban/rural), facility design, use of temporary hired staff, staff compartmentalizing, residence of staff, and/or nursing aides hours per resident. Retrieved studies were screened, assessed for quality, and analysed employing a narrative synthesis.Results: Sixteen studies (8 cohort studies, 6 cross-sectional studies, 2 case-control) were included from the search which generated 10,424 unique records. COVID-19 was the most commonly reported cause of outbreak (n=11). The other studies focused on influenza, respiratory and gastrointestinal outbreaks. Most studies reported on the impact of facility size (n=11) followed by facility design (n=4), use of temporary hired staff (n=3), facility location (n=2), staff compartmentalizing (n=2), nurse aides hours (n=2) and residence of staff (n=1). Findings suggest that urban location and larger facility size may be associated with greater risks of an infectious outbreak. Additionally, the risk of a larger outbreak seems lower in larger facilities. Whilst staff compartmentalizing may be associated with lower risk of an outbreak, staff residing in highly infected areas may be associated with greater risk of outbreak. The influence of facility design, use of temporary staff, and nurse aides hours remains unclear.Conclusions: This systematic review suggests that larger facilities have greater risks of infectious outbreaks, yet the risk of a larger outbreak seems lower in larger facilities. Due to lack of robust findings the impact of facility and staff characteristics on infectious outbreaks remain largely unknown.PROSPERO: CRD42020213585


2019 ◽  
Vol 54 (20) ◽  
pp. 1188-1194 ◽  
Author(s):  
Juliana S Oliveira ◽  
Cathie Sherrington ◽  
Elizabeth R Y Zheng ◽  
Marcia Rodrigues Franco ◽  
Anne Tiedemann

BackgroundOlder people are at high risk of physical inactivity. Activity trackers can facilitate physical activity. We aimed to investigate the effect of interventions using activity trackers on physical activity, mobility, quality of life and mental health among people aged 60+ years.MethodsFor this systematic review, we searched eight databases, including MEDLINE, Embase and CENTRAL from inception to April 2018. Randomised controlled trials of interventions that used activity trackers to promote physical activity among people aged 60+ years were included in the analyses. The study protocol was registered with PROSPERO, number CRD42017065250.ResultsWe identified 23 eligible trials. Interventions using activity trackers had a moderate effect on physical activity (23 studies; standardised mean difference (SMD)=0.55; 95% CI 0.40 to 0.70; I2=86%) and increased steps/day by 1558 (95% CI 1099 to 2018 steps/day; I2=92%) compared with usual care, no intervention and wait-list control. Longer duration activity tracker-based interventions were more effective than short duration interventions (18 studies, SMD=0.70; 95% CI 0.47 to 0.93 vs 5 studies, SMD=0.14; 95% CI −0.26 to 0.54, p for comparison=0.02). Interventions that used activity trackers improved mobility (three studies; SMD=0.61; 95% CI 0.31 to 0.90; I2=10%), but not quality of life (nine studies; SMD=0.09; 95% CI −0.07 to 0.25; I2=45%). Only one trial included mental health outcomes and it reported similar effects of the activity tracker intervention compared with control.ConclusionsInterventions using activity trackers improve physical activity levels and mobility among older people compared with control. However, the impact of activity tracker interventions on quality of life, and mental health is unknown.


2015 ◽  
Vol 80 (4) ◽  
pp. 768-776 ◽  
Author(s):  
Andreas D. Meid ◽  
Anette Lampert ◽  
Alina Burnett ◽  
Hanna M. Seidling ◽  
Walter E. Haefeli

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0128213 ◽  
Author(s):  
Nora-Ann Donnelly ◽  
Anne Hickey ◽  
Annette Burns ◽  
Paul Murphy ◽  
Frank Doyle

2017 ◽  
Vol 22 (4) ◽  
pp. 250-257 ◽  
Author(s):  
Neil Barr ◽  
Diana Vania ◽  
Glen Randall ◽  
Gillian Mulvale

Objectives Information and communication technology is often lauded as the key to enhancing communication among health care providers. However, its impact on interprofessional collaboration is unclear. The objective of this study was to determine the extent to which it improves communication and, subsequently, enhances interprofessional collaboration in chronic disease management. Methods A systematic review of academic literature using two electronic platforms: HealthSTAR and Web of Science (core collection and MEDLINE). To be eligible for inclusion in the review, articles needed to be peer-reviewed; accessible in English and focused on how technology supports, or might support, collaboration (through enhanced communication) in chronic disease management. Studies were assessed for quality and a narrative synthesis conducted. Results The searches identified 289 articles of which six were included in the final analysis (three used qualitative methods, two were descriptive and one used mixed methods). Various forms of information and communication technology were described including electronic health records, online communities/learning resources and telehealth/telecare. Three themes emerged from the studies that may provide insights into how communication that facilitates collaboration in chronic disease management might be enhanced: professional conflict, collective engagement and continuous learning. Conclusions The success of technology in enhancing collaboration for chronic disease management depends upon supporting the social relationships and organization in which the technology will be placed. Decision-makers should take into account and work toward balancing the impact of technology together with the professional and cultural characteristics of health care teams.


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