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Evaluation of strategies to recruit and retain older people with dementia and their informal carers into a Tai Chi Trial to improve balance and prevent falls.

Heward, M., Johnson, L. and Nyman, S., 2021. Evaluation of strategies to recruit and retain older people with dementia and their informal carers into a Tai Chi Trial to improve balance and prevent falls. Journal of Frailty, Sarcopenia and Falls. (In Press)

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Abstract

Objectives Randomised control trials (trials) involving people with dementia lack detailed analysis of recruitment and retention strategies. To address this, we examined the effectiveness of strategies in “The TACIT Trial: TAi ChI for people with demenTia”. Methods We recruited dyads (people with dementia and carers) from 3 South of England sites utilising different strategies. Recruitment strategy effectiveness was measured by percent yield (number randomised of total referrals) and cost per randomised participant. Our retention strategy (maintaining contact with participants during weekly telephone calls) was measured by percent yield (number retained by six-month follow-up). Results Of 359 dyads, 24% were randomised into the study (n=85). The most resource-intensive strategy (research nurses spending 30 minutes explaining the study) had the highest referral to randomisation rate. An incremental cost-effectiveness ratio suggested an alternative approach (nurses and doctors spending 5 minutes explaining the study) was most cost-effective. Retention rates were 86% (n=36/42; intervention group) and 81% (35/43; control group); main reasons for attrition were worsening health and lack of study interest. Conclusions The results demonstrate person-centred strategies enabling staff to spend time with participants were effective in supporting recruitment and retention. Those designing future trials must consider such strategies and the associated costs.

Item Type:Article
ISSN:2459-4148
Uncontrolled Keywords:Recruitment and retention ; dementia ; trial ; exercise ; falls
Group:Faculty of Health & Social Sciences
ID Code:35770
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:14 Jul 2021 15:54
Last Modified:14 Jul 2021 15:54

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