Predicting Disability Using a Nomogram of the Tilburg Frailty Indicator (TFI)

Author:

Gobbens Robbert J.1234ORCID,Santiago Livia M.5ORCID,Uchmanowicz Izabella67ORCID,van der Ploeg Tjeerd1

Affiliation:

1. Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, 1081 HV Amsterdam, The Netherlands

2. Zonnehuisgroep Amstelland, 1186 AA Amstelveen, The Netherlands

3. Department Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, 2610 Antwerp, Belgium

4. Department of Tranzo Academic Centre for Transformation in Care and Welfare, Faculty of Behavioural and Social Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands

5. Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro 21941-912, Brazil

6. Department of Nursing and Obstetrics, Faculty of Health Sciences, Wroclaw Medical University, 50-367 Wroclaw, Poland

7. Institute of Heart Diseases, University Hospital, 50-566 Wroclaw, Poland

Abstract

Disability is associated with lower quality of life and premature death in older people. Therefore, prevention and intervention targeting older people living with a disability is important. Frailty can be considered a major predictor of disability. In this study, we aimed to develop nomograms with items of the Tilburg Frailty Indicator (TFI) as predictors by using cross-sectional and longitudinal data (follow-up of five and nine years), focusing on the prediction of total disability, disability in activities of daily living (ADL), and disability in instrumental activities of daily living (IADL). At baseline, 479 Dutch community-dwelling people aged ≥75 years participated. They completed a questionnaire that included the TFI and the Groningen Activity Restriction Scale to assess the three disability variables. We showed that the TFI items scored different points, especially over time. Therefore, not every item was equally important in predicting disability. ‘Difficulty in walking’ and ‘unexplained weight loss’ appeared to be important predictors of disability. Healthcare professionals need to focus on these two items to prevent disability. We also conclude that the points given to frailty items differed between total, ADL, and IADL disability and also differed regarding years of follow-up. Creating one monogram that does justice to this seems impossible.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference44 articles.

1. Kraus, L., Lauer, E., Coleman, R., and Houtenville, A. (2018). 2017 Disability Statistics Annual Report, University of New Hampshire.

2. World Health Organization (2001). International Classification of Functioning, Disability and Health (ICF), World Health Organization.

3. Incidence and risk factors of disability in the elderly: The Rotterdam Study;Tas;Prev. Med.,2007

4. Prognostic factors of disability in older people: A systematic review;Tas;Br. J. Gen. Pract.,2007

5. The assessment of disability with the Groningen Activity Restriction Scale. Conceptual framework and psychometric properties;Kempen;Soc. Sci. Med.,1996

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