scholarly journals Novel sensing technology in fall risk assessment in older adults: a systematic review

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Ruopeng Sun ◽  
Jacob J. Sosnoff
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
Fall Risk Assessment ◽  
Sensing Technology

Factors included in adult fall risk assessment tools (FRATs): a systematic review

2020 ◽  
pp. 1-25
Author(s):  
Hendrika de Clercq ◽  
Alida Naudé ◽  
Juan Bornman
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
The Body ◽  
Assessment Tools ◽  
Personal Factors ◽  
Fall Risk Assessment ◽  
Environmental Consequences ◽  
Preventative Measures

Abstract Falls often have severe financial and environmental consequences, not only for those who fall, but also for their families and society at large. Identifying fall risk in older adults can be of great use in preventing or reducing falls and fall risk, and preventative measures that are then introduced can help reduce the incidence and severity of falls in older adults. The overall aim of our systematic review was to provide an analysis of existing mechanisms and measures for evaluating fall risk in older adults. The 43 included FRATs produced a total of 493 FRAT items which, when linked to the ICF, resulted in a total of 952 ICF codes. The ICF domain with the most used codes was body function, with 381 of the 952 codes used (40%), followed by activities and participation with 273 codes (28%), body structure with 238 codes (25%) and, lastly, environmental and personal factors with only 60 codes (7%). This review highlights the fact that current FRATs focus on the body, neglecting environmental and personal factors and, to a lesser extent, activities and participation. This over-reliance on the body as the point of failure in fall risk assessment clearly highlights the need for gathering qualitative data, such as from focus group discussions with older adults, to capture the perspectives and views of the older adults themselves about the factors that increase their risk of falling and comparing these perspectives to the data gathered from published FRATs as described in this review.

scholarly journals Validated Fall Risk Assessment Tools for Use with Older Adults: A Systematic Review

2018 ◽  
Vol 36 (4) ◽  
pp. 331-353 ◽  
Author(s):  
Marcello Ruggieri ◽  
Biagio Palmisano ◽  
Giancarlo Fratocchi ◽  
Valter Santilli ◽  
Roberta Mollica ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
Risk Assessment Tools

scholarly journals Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jelena Bezold ◽  
Janina Krell-Roesch ◽  
Tobias Eckert ◽  
Darko Jekauc ◽  
Alexander Woll
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Risk Assessment ◽  
Cognitive Impairment ◽  
Fall Risk ◽  
Wearable Sensors ◽  
Sensor Location ◽  
Risk Of Falling ◽  
Fall Risk Assessment ◽  
Fall Risk Factors

Abstract Background Higher age and cognitive impairment are associated with a higher risk of falling. Wearable sensor technology may be useful in objectively assessing motor fall risk factors to improve physical exercise interventions for fall prevention. This systematic review aims at providing an updated overview of the current research on wearable sensors for fall risk assessment in older adults with or without cognitive impairment. Therefore, we addressed two specific research questions: 1) Can wearable sensors provide accurate data on motor performance that may be used to assess risk of falling, e.g., by distinguishing between faller and non-faller in a sample of older adults with or without cognitive impairment?; and 2) Which practical recommendations can be given for the application of sensor-based fall risk assessment in individuals with CI? A systematic literature search (July 2019, update July 2020) was conducted using PubMed, Scopus and Web of Science databases. Community-based studies or studies conducted in a geriatric setting that examine fall risk factors in older adults (aged ≥60 years) with or without cognitive impairment were included. Predefined inclusion criteria yielded 16 cross-sectional, 10 prospective and 2 studies with a mixed design. Results Overall, sensor-based data was mainly collected during walking tests in a lab setting. The main sensor location was the lower back to provide wearing comfort and avoid disturbance of participants. The most accurate fall risk classification model included data from sit-to-walk and walk-to-sit transitions collected over three days of daily life (mean accuracy = 88.0%). Nine out of 28 included studies revealed information about sensor use in older adults with possible cognitive impairment, but classification models performed slightly worse than those for older adults without cognitive impairment (mean accuracy = 79.0%). Conclusion Fall risk assessment using wearable sensors is feasible in older adults regardless of their cognitive status. Accuracy may vary depending on sensor location, sensor attachment and type of assessment chosen for the recording of sensor data. More research on the use of sensors for objective fall risk assessment in older adults is needed, particularly in older adults with cognitive impairment. Trial registration This systematic review is registered in PROSPERO (CRD42020171118).

scholarly journals Development of a New Fall Risk Assessment Index for Older Adults

2012 ◽  
Vol 6 (3) ◽  
pp. 160-162 ◽  
Author(s):  
Minoru Yamada ◽  
Hidenori Arai ◽  
Koutatsu Nagai ◽  
Buichi Tanaka ◽  
Toshiaki Uehara ◽  
...  
Keyword(s):  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
Fall Risk Assessment ◽  
Assessment Index

Usability of self-guided mixed reality fall risk assessment for older adults

2020 ◽  
Vol 19 (4) ◽  
pp. 1-7
Author(s):  
Katherine L. Hsieh ◽  
Ruopeng Sun ◽  
Jacob J. Sosnoff
Keyword(s):  
Older Adults ◽  
Risk Assessment ◽  
Fall Risk ◽  
Mixed Reality ◽  
Fall Risk Assessment

scholarly journals International classification of function, disability and health framework for fall risk stratification in community dwelling older adults

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Majumi M. Noohu ◽  
Aparajit B. Dey ◽  
Shashi Sharma ◽  
Mohammed E. Hussain
Keyword(s):  
Older Adults ◽  
Risk Assessment ◽  
Odds Ratio ◽  
Fall Risk ◽  
Adjusted Odds Ratio ◽  
Community Dwelling ◽  
Disability And Health ◽  
Fall Risk Assessment ◽  
Community Dwelling Older Adults

Falls is an important cause for mortality and morbidity in older adults. The fall risk assessment is an integral component of fall prevention in older adults. The international classification of function, disability and health (ICF) can be an ideal comprehensive model for fall risk assessment. There is lack of information relating ICF and fall risk assessment in community dwelling older adults. In this study we tried to assess the fall risk using different domains of ICF using various clinical tools. A total of 255 subjects were recruited through convenient sampling method from geriatric clinic (OPD) of All India Institute of Medical Sciences, New Delhi. The study was single session cross-section design. The body mass index (BMI), grip strength, depression score (Geriatric depression scale:short form; GDS-S) and co morbidities were used to assess body function and structure domain, timed up and go (TUG), Berg balance scale (BBS) and elderly fall screening test (EFST) scores were used for activity domain, selfreported cause of fall, medications and uses of assistive device for environmental factors. Then the association of body function and structure, activity and environmental factors were determined with falls. There was an association of fall in analysis in subjects with no fall and one or more falls for, BMI, grip strength (kg), GDS-S score, no. of co morbidities, chronic pain, TUG, BBS, TUG (s), BBS, EFST, slip/trip, walking cane, hypoglycemic and antihypertensives medications (unadjusted and adjusted odds ratio).The diabetes, and hyper tension showed association for adjusted odds ratio only. In subjects with one fall and more than one fall, TUG, BBS, EFST, GDS-S score, NSAIDS and antidepressants use showed a significant association with fall (unadjusted and adjusted odds ratio). The ICF may be used in routine for fall risk assessment in community dwelling older adults.

scholarly journals Performance and Characteristics of Wearable Sensor Systems Discriminating and Classifying Older Adults According to Fall Risk: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5863 ◽  
Author(s):  
Annica Kristoffersson ◽  
Jiaying Du ◽  
Maria Ehn
Keyword(s):  
Systematic Review ◽  
Risk Assessment ◽  
Model Validation ◽  
Fall Risk ◽  
Small Sample Size ◽  
Classification Performance ◽  
Small Sample ◽  
Risk Of Bias ◽  
Classification Models ◽  
Fall Risk Assessment

Sensor-based fall risk assessment (SFRA) utilizes wearable sensors for monitoring individuals’ motions in fall risk assessment tasks. Previous SFRA reviews recommend methodological improvements to better support the use of SFRA in clinical practice. This systematic review aimed to investigate the existing evidence of SFRA (discriminative capability, classification performance) and methodological factors (study design, samples, sensor features, and model validation) contributing to the risk of bias. The review was conducted according to recommended guidelines and 33 of 389 screened records were eligible for inclusion. Evidence of SFRA was identified: several sensor features and three classification models differed significantly between groups with different fall risk (mostly fallers/non-fallers). Moreover, classification performance corresponding the AUCs of at least 0.74 and/or accuracies of at least 84% were obtained from sensor features in six studies and from classification models in seven studies. Specificity was at least as high as sensitivity among studies reporting both values. Insufficient use of prospective design, small sample size, low in-sample inclusion of participants with elevated fall risk, high amounts and low degree of consensus in used features, and limited use of recommended model validation methods were identified in the included studies. Hence, future SFRA research should further reduce risk of bias by continuously improving methodology.

Sign in / Sign up

Export Citation Format

Share Document