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Your search keyword '"Shenkin, Susan D"' showing total 22 results
Start Over Author "Shenkin, Susan D" Journal age and ageing
22 results on '"Shenkin, Susan D"'

4. Factors that influence older adults’ participation in physical activity: a systematic review of qualitative studies

Author

Meredith, Samantha J, primary, Cox, Natalie J, additional, Ibrahim, Kinda, additional, Higson, Joanna, additional, McNiff, Jessica, additional, Mitchell, Stephanie, additional, Rutherford, Matthew, additional, Wijayendran, Anusan, additional, Shenkin, Susan D, additional, Kilgour, Alixe H M, additional, and Lim, Stephen E R, additional

Published
2023
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5. Complex interventions for improving independent living and quality of life amongst community-dwelling older adults: a systematic review and meta-analysis

Author

Ho, Leonard, primary, Malden, Stephen, additional, McGill, Kris, additional, Shimonovich, Michal, additional, Frost, Helen, additional, Aujla, Navneet, additional, Ho, Iris S-S, additional, Shenkin, Susan D, additional, Hanratty, Barbara, additional, Mercer, Stewart W, additional, and Guthrie, Bruce, additional

Published
2023
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15. Diagnostic accuracy of the 4AT for delirium detection in older adults: systematic review and meta-analysis

Author

Tieges, Zoë, primary, Maclullich, Alasdair M J, additional, Anand, Atul, additional, Brookes, Claire, additional, Cassarino, Marica, additional, O’connor, Margaret, additional, Ryan, Damien, additional, Saller, Thomas, additional, Arora, Rakesh C, additional, Chang, Yue, additional, Agarwal, Kathryn, additional, Taffet, George, additional, Quinn, Terence, additional, Shenkin, Susan D, additional, and Galvin, Rose, additional

Published
2020
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16. Research with older people in a world with COVID-19: identification of current and future priorities, challenges and opportunities

Author

Richardson, Sarah J, primary, Carroll, Camille B, additional, Close, Jacqueline, additional, Gordon, Adam L, additional, O’Brien, John, additional, Quinn, Terence J, additional, Rochester, Lynn, additional, Sayer, Avan A, additional, Shenkin, Susan D, additional, van der Velde, Nathalie, additional, Woo, Jean, additional, and Witham, Miles D, additional

Published
2020
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17. Predicting discharge to institutional long-term care following acute hospitalisation: a systematic review and meta-analysis

Author

Harrison, Jennifer Kirsty, Walesby, Katherine E., Hamilton, Lorna, Armstrong, Carolyn, Starr, John M., Reynish, Emma L., MacLullich, Alasdair M.J., Quinn, Terence, and Shenkin, Susan D.

Subjects
Aged, 80 and over, Male, Time Factors, hospitalisation, Health Status, Institutionalization, predictor, Length of Stay, Long-Term Care, Risk Assessment, Patient Discharge, older people, Patient Admission, Risk Factors, care home, outcome, Odds Ratio, Humans, Female, Systematic Review, Aged
Abstract

Background moving into long-term institutional care is a significant life event for any individual. Predictors of institutional care admission from community-dwellers and people with dementia have been described, but those from the acute hospital setting have not been systematically reviewed. Our aim was to establish predictive factors for discharge to institutional care following acute hospitalisation. Methods we registered and conducted a systematic review (PROSPERO: CRD42015023497). We searched MEDLINE; EMBASE and CINAHL Plus in September 2015. We included observational studies of patients admitted directly to long-term institutional care following acute hospitalisation where factors associated with institutionalisation were reported. Results from 9,176 records, we included 23 studies (n = 354,985 participants). Studies were heterogeneous, with the proportions discharged to a care home 3–77% (median 15%). Eleven studies (n = 12,642), of moderate to low quality, were included in the quantitative synthesis. The need for institutional long-term care was associated with age (pooled odds ratio (OR) 1.02, 95% confidence intervals (CI): 1.00–1.04), female sex (pooled OR 1.41, 95% CI: 1.03–1.92), dementia (pooled OR 2.14, 95% CI: 1.24–3.70) and functional dependency (pooled OR 2.06, 95% CI: 1.58–2.69). Conclusions discharge to long-term institutional care following acute hospitalisation is common, but current data do not allow prediction of who will make this transition. Potentially important predictors evaluated in community cohorts have not been examined in hospitalised cohorts. Understanding these predictors could help identify individuals at risk early in their admission, and support them in this transition or potentially intervene to reduce their risk.

Published
2017

22. Diagnostic accuracy of the 4AT for delirium detection in older adults: systematic review and meta-analysis.

Author

Tieges Z, Maclullich AMJ, Anand A, Brookes C, Cassarino M, O'connor M, Ryan D, Saller T, Arora RC, Chang Y, Agarwal K, Taffet G, Quinn T, Shenkin SD, and Galvin R

Subjects
Aged, Emergency Service, Hospital, Geriatric Assessment, Humans, Mass Screening, Sensitivity and Specificity, Delirium diagnosis
Abstract

Objective: Detection of delirium in hospitalised older adults is recommended in national and international guidelines. The 4 'A's Test (4AT) is a short (<2 minutes) instrument for delirium detection that is used internationally as a standard tool in clinical practice. We performed a systematic review and meta-analysis of diagnostic test accuracy of the 4AT for delirium detection., Methods: We searched MEDLINE, EMBASE, PsycINFO, CINAHL, clinicaltrials.gov and the Cochrane Central Register of Controlled Trials, from 2011 (year of 4AT release on the website www.the4AT.com) until 21 December 2019. Inclusion criteria were: older adults (≥65 years); diagnostic accuracy study of the 4AT index test when compared to delirium reference standard (standard diagnostic criteria or validated tool). Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled estimates of sensitivity and specificity were generated from a bivariate random effects model., Results: Seventeen studies (3,702 observations) were included. Settings were acute medicine, surgery, a care home and the emergency department. Three studies assessed performance of the 4AT in stroke. The overall prevalence of delirium was 24.2% (95% CI 17.8-32.1%; range 10.5-61.9%). The pooled sensitivity was 0.88 (95% CI 0.80-0.93) and the pooled specificity was 0.88 (95% CI 0.82-0.92). Excluding the stroke studies, the pooled sensitivity was 0.86 (95% CI 0.77-0.92) and the pooled specificity was 0.89 (95% CI 0.83-0.93). The methodological quality of studies varied but was moderate to good overall., Conclusions: The 4AT shows good diagnostic test accuracy for delirium in the 17 available studies. These findings support its use in routine clinical practice in delirium detection., Prospero Registration Number: CRD42019133702., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society.)

Published
2021
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