Toggle Main Menu Toggle Search

Open Access padlockePrints

A brief frailty screening tool in Tanzania: external validation and refinement of the B-FIT screen

Lookup NU author(s): Grace LewisORCiD, Dr Kate Howorth, Professor Richard Walker, Dr Catherine DotchinORCiD


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


© 2019, Springer Nature Switzerland AG. Background: Identifying older people who are most vulnerable to adverse outcomes is important. This is particularly so in low-resource settings, such as those in sub-Saharan Africa (SSA), where access to social and healthcare services is often limited. Aim: To validate and further refine a frailty screening tool for SSA. Methods: Phase I screening of people aged 60 years and over was conducted using the Brief Frailty Instrument for Tanzania (B-FIT). In phase II, a stratified, frailty-weighed sample was assessed across a range of variables covering cognition, physical function (including continence, mobility, weakness and exhaustion) nutrition, mood, co-morbidity, sensory impairment, polypharmacy, social support and self-rated health. The frailty-weighted sample was also assessed for frailty according to the comprehensive geriatric assessment (CGA), which we used as our ‘gold standard’ diagnosis. Results: Of 235 people in the frailty-weighted sample, 91 (38.7%) were frail according to CGA, the median age was 73 years and 136 (57.9%) were female. In multivariable modelling, physical disability (Barthel index), cognitive impairment (IDEA cognitive screen), calf circumference, poor distance vision and problems engaging in social activities were found to be associated with frailty. After developing a scoring system, based on regression coefficients, a modified B-FIT screen (B-FIT 2) had an area under the receiver operating characteristic curve of 0.925, a sensitivity of 86.2% and a specificity of 88.8%. Discussion: The inclusion of items assessing nutrition, social support and sensory impairment improved the performance of the B-FIT. Conclusions: The B-FIT 2 should be externally validated.

Publication metadata

Author(s): Lewis EG, Whitton LA, Collin H, Urasa S, Howorth K, Walker RW, Dotchin C, Mulligan L, Shah B, Mohamed A, Mdegella D, Mkodo J, Zerd F, Gray WK

Publication type: Article

Publication status: Published

Journal: Aging Clinical and Experimental Research

Year: 2020

Volume: 32

Pages: 1959-1967

Print publication date: 01/10/2020

Online publication date: 06/12/2019

Acceptance date: 30/10/2019

ISSN (print): 1594-0667

ISSN (electronic): 1720-8319

Publisher: Springer


DOI: 10.1007/s40520-019-01406-0

PubMed id: 31811571


Altmetrics provided by Altmetric