Literature DB >> 28374345

Tools for assessing fall risk in the elderly: a systematic review and meta-analysis.

Seong-Hi Park1.   

Abstract

The prevention of falls among the elderly is arguably one of the most important public health issues in today's aging society. The aim of this study was to assess which tools best predict the risk of falls in the elderly. Electronic searches were performed using Medline, EMBASE, the Cochrane Library, CINAHL, etc., using the following keywords: "fall risk assessment", "elderly fall screening", and "elderly mobility scale". The QUADAS-2 was applied to assess the internal validity of the diagnostic studies. Selected studies were meta-analyzed with MetaDisc 1.4. A total of 33 studies were eligible out of the 2,321 studies retrieved from selected databases. Twenty-six assessment tools for fall risk were used in the selected articles, and they tended to vary based on the setting. The fall risk assessment tools currently used for the elderly did not show sufficiently high predictive validity for differentiating high and low fall risks. The Berg Balance scale and Mobility Interaction Fall chart showed stable and high specificity, while the Downton Fall Risk Index, Hendrich II Fall Risk Model, St. Thomas's Risk Assessment Tool in Falling elderly inpatients, Timed Up and Go test, and Tinetti Balance scale showed the opposite results. We concluded that rather than a single measure, two assessment tools used together would better evaluate the characteristics of falls by the elderly that can occur due to a multitude of factors and maximize the advantages of each for predicting the occurrence of falls.

Keywords:  Accidental falls; Meta-analysis; Older adults; Sensitivity and specificity

Mesh:

Year:  2017        PMID: 28374345     DOI: 10.1007/s40520-017-0749-0

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  61 in total

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Journal:  Eur J Appl Physiol       Date:  2019-05-04       Impact factor: 3.078

2.  Operationalisation and validation of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall risk algorithm in a nationally representative sample.

Authors:  Matthew C Lohman; Rebecca S Crow; Peter R DiMilia; Emily J Nicklett; Martha L Bruce; John A Batsis
Journal:  J Epidemiol Community Health       Date:  2017-09-25       Impact factor: 3.710

3.  Surface Perturbation Training to Prevent Falls in Older Adults: A Highly Pragmatic, Randomized Controlled Trial.

Authors:  Jon D Lurie; Alexandra B Zagaria; Lisa Ellis; Dawna Pidgeon; Kathleen M Gill-Body; Christina Burke; Kurt Armbrust; Sharil Cass; Kevin F Spratt; Christine M McDonough
Journal:  Phys Ther       Date:  2020-07-19

4.  Effects of photobiomodulation on muscle strength in post-menopausal women submitted to a resistance training program.

Authors:  Johny N Almeida; Wagner L Prado; Caio M Terra; Matheus G Oliveira; Renato A Garcia; Carlos E Pinfildi; João P Botero
Journal:  Lasers Med Sci       Date:  2019-06-14       Impact factor: 3.161

5.  Falls prediction using the nursing home minimum dataset.

Authors:  Richard D Boyce; Olga V Kravchenko; Subashan Perera; Jordan F Karp; Sandra L Kane-Gill; Charles F Reynolds; Steven M Albert; Steven M Handler
Journal:  J Am Med Inform Assoc       Date:  2022-08-16       Impact factor: 7.942

Review 6.  Diagnostic value of exosomes in patients with liver cancer: a systematic review.

Authors:  Jusong Liu; Pan Xiao; Wenxue Jiang; Yuhan Wang; Yuanshuai Huang
Journal:  Clin Transl Oncol       Date:  2022-08-10       Impact factor: 3.340

7.  Addressing Physical, Functional, and Physiological Outcomes in Older Adults using an Integrated mHealth Intervention "Active for Life": A Pilot Randomized Controlled Trial.

Authors:  Teresa J Kelechi; Melba A Hernandez-Tejada; Sundaravadivel Balasubramanian; John Bian; Moby Madisetti; Alexis Nagel
Journal:  Int J Nurs Health Care Res (Lisle)       Date:  2022-03-31

8.  The Multidimensional Prognostic Index Predicts Falls in Older People: An 8-Year Longitudinal Cohort Study of the Osteoarthritis Initiative.

Authors:  Nicola Veronese; Giacomo Siri; Alberto Cella; Stefania Maggi; Ekaterini Zigoura; Matteo Puntoni; Lee Smith; Clarissa Musacchio; Antonella Barone; Carlo Sabbà; Francesco Vallone; Alberto Pilotto
Journal:  J Am Med Dir Assoc       Date:  2019-11-25       Impact factor: 4.669

9.  Antidepressant Use Partially Mediates the Association Between Depression and Risk of Falls and Fall Injuries Among Older Adults.

Authors:  Matthew C Lohman; Amanda J Fairchild; Anwar T Merchant
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-08-13       Impact factor: 6.053

10.  Performance of the Hendrich Fall Risk Model II in Patients Discharged from Rehabilitation Wards. A Preliminary Study of Predictive Ability.

Authors:  Isabella Campanini; Annalisa Bargellini; Stefano Mastrangelo; Francesco Lombardi; Stefano Tolomelli; Mirco Lusuardi; Andrea Merlo
Journal:  Int J Environ Res Public Health       Date:  2021-02-04       Impact factor: 3.390

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