QTUG cost saving and fall prevention economic model
Calculation can be based on fixed population size or based on a fixed number of places available for intervention, select your preference (population size or intervention places available) below.
TUG refers to standard (stopwatch-timed) Timed Up and Go test.
Assumptions
33% of over 60yrs of age fall each year.
Falls reduced 40% by intervention (30-50% reduction reported in literature).
Assessments of falls are carried out routinely using standard TUG.
Cost per fall is average cost per fall for the organisation.
Figures for cost of falls and related injuries are those reported in the literature for the US.
Falls per patient per year is the average number of falls afflicting those patients who fall.
20% of falls result in serious injury.
Cost of falls per organisation is calculated as number of falls multiplied by cost of falls.
Kinesis figures for QTUG and optimal TUG performance are based on statistically optimised models.
Literature figures for TUG performance: Thrane et al; Tromso study.
References
T.Masud and R. O.Morris, "Epidemiology of falls", Age Ageing, vol. 30, pp.3-7, 2001.
WHO Department of Ageing and Life Course. "WHO global report on falls prevention in older age". 2007
Gillespie LD, et al., Interventions for preventing falls in older people living in the community. Cochrane Database of Systematic Reviews, 2012 (9).
El-Khoury, F., et al., "The effect of fall prevention exercise programmes on fall induced injuries in community dwelling older adults: systematic review and meta-analysis of randomised controlled trials". BMJ:British Medical
Burns EB, Stevens JA, Lee RL. "The direct costs of fatal and non-fatal falls among older adults-United States". J Safety Res 2016:58.
Alexander BH, Rivara FP, Wolf ME. "The cost and frequency of hospitalization for fall related injuries in older adults". American Journal of Public Health 1992;82(7):1020-3.
Sterling DA, O'Connor JA, Bonadies J. "Geriatric falls: injury severity is high and disproportionate to mechanism". Journal of Trauma-Injury, Infection and Critical Care 2001;50(1):116-9
Barry R. Greene, Stephen J. Redmond, Brian Caulfield, "Fall risk assessment through automatic combination of clinical fall risk factors and body-worn sensor data", IEEE J. Biomed Health Inform 2016. DOI: 10.1109/JBHI.2016.2539098
Thrane, G., Joakimsen, R. & Thornquist, E. 2007. "The association between timed up and go test and history of falls: the Tromso study". BMC Geriatrics, 7, 1.
Franklin M, Hunter RM, "A modelling-based economic evaluation of primary-care-based fall-risk screening followed by fall-prevention intervention: a cohort-based Markov model stratified by older age groups", Age & Ageing 2019; 5. DOI: 10.1093/ageing/afz125
