A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect.

Falls among older people are a major health concern. This study aims to develop a multifactorial fall risk assessment system for older people using a low-cost, markerless Microsoft Kinect. A Kinect-based test battery was designed to comprehensively assess major fall risk factors. A follow-up experiment was conducted with 102 older participants to assess their fall risks. Participants were divided into high and low fall risk groups based on their prospective falls over a 6-month period. Results showed that the high fall risk group performed significantly worse on the Kinect-based test battery. The developed random forest classification model achieved an average classification accuracy of 84.7%. In addition, the individual's performance was computed as the percentile value of a normative database to visualise deficiencies and targets for intervention. These findings indicate that the developed system can not only screen out 'at risk' older individuals with good accuracy, but also identify potential fall risk factors for effective fall intervention.Practitioner summary: Falls are the leading cause of injuries in older people. We newly developed a multifactorial fall risk assessment system for older people utilising a low-cost, markerless Kinect. Results showed that the developed system can screen out 'at risk' individuals and identify potential risk factors for effective fall intervention.

The design and development of a complex multifactorial falls assessment intervention for falls prevention: The Prevention of Falls Injury Trial (PreFIT).

BACKGROUND: This paper describes the design and development of a complex multifactorial falls prevention (MFFP) intervention for implementation and testing within the framework of a large UK-based falls prevention randomised controlled trial (RCT). METHODS: A complex intervention was developed for inclusion within the Prevention of Falls Injury Trial (PreFIT), a multicentre pragmatic RCT. PreFIT aims to compare the clinical and cost-effectiveness of three alternative primary care falls prevention interventions (advice, exercise and MFFP), on outcomes of fractures and falls. Community-dwelling adults, aged 70 years and older, were recruited from primary care in the National Health Service (NHS), England. RESULTS: Development of the PreFIT MFFP intervention was informed by the existing evidence base and clinical guidelines for the assessment and management of falls in older adults. After piloting and modification, the final MFFP intervention includes seven falls risk factors: a detailed falls history interview with consideration of 'red flags'; assessment of balance and gait; vision; medication screen; cardiac screen; feet and footwear screen and home environment assessment. This complex intervention has been fully manualised with clear, documented assessment and treatment pathways for each risk factor. Each risk factor is assessed in every trial participant referred for MFFP. Referral for assessment is based upon a screening survey to identify those with a history of falling or balance problems. Intervention delivery can be adapted to the local setting. CONCLUSION: This complex falls prevention intervention is currently being tested within the framework of a large clinical trial. This paper adheres to TIDieR and CONSORT recommendations for the comprehensive and explicit reporting of trial interventions. Results from the PreFIT study will be published in due course. The effectiveness and cost-effectiveness of the PreFIT MFFP intervention, compared to advice and exercise, on the prevention of falls and fractures, will be reported at the conclusion of the trial.

American Geriatrics Society response to the World Falls Guidelines.

Falls are a major cause of preventable death, injury, and reduced independence in adults aged 65 years and older. The American Geriatrics Society and British Geriatrics Society (AGS/BGS) published a guideline in 2001, revised in 2011, addressing common risk factors for falls and providing recommendations to reduce fall risk in community-dwelling older adults. In 2022, the World Falls Guidelines (WFG) Task Force created updated, globally oriented fall prevention risk stratification, assessment, management, and interventions for older adults. Our objective was to briefly summarize the new WFG, compare them to the AGS/BGS guideline, and offer suggestions for implementation in the United States. We reviewed 11 of the 12 WFG topics related to community-dwelling older adults and agree with several additions to the prior AGS/BGS guideline, including assessment and intervention for hearing impairment and concern for falling, assessment and individualized exercises for older adults with cognitive impairment, and performing a standardized assessment such as STOPPFall before prescribing a medication that could potentially increase fall risk. Notable areas of difference include: (1) AGS continues to recommend screening all patients aged 65+ annually for falls, rather than just those with a history of falls or through opportunistic case finding; (2) AGS recommends continued use of the Timed Up and Go as a gait assessment, rather than relying on gait speed; and (3) AGS recommends clinical judgment on whether or not to check an ECG for those at risk for falling. Our review and translation of the WFG for a US audience offers guidance for healthcare and other providers and teams to reduce fall risk in older adults.

Fall prevention in the elderly.

Falls are frequent in the elderly and affect mortality, morbidity, loss of functional capacity and institutionalization. In the older patient the incidence of falls can sometimes be underestimated, even in the absence of a clear cognitive impairment, because it is often difficult to reconstruct the dynamics. It is quite common that forms due to syncope are associated with retrograde amnesia and in 40 to 60% of the cases falls happen in the absence of witnesses. The pathogenesis of falls is often multifactorial, due to physiological age-related changes or more properly pathological factors, or due to the environment. The identification of risk factors is essential in the planning of preventive measures. Syncope is one of major causes of falls. About 20% of cardiovascular syncope in patients older than 70 appears as a fall and more than 20% of older people with Carotid Sinus Syndrome complain of falls as well as syncope. These data clearly state that older patients with history of falls should undergo a cardiovascular and neuroautonomic assessment besides the survey of other risk factors. Multifactorial assessment requires a synergy of various specialists. The geriatrician coordinates the multidisciplinary intervention in order to make the most effective evaluation of the risk of falling, searching for all predisposing factors, aiming towards a program of prevention. In clear pathological conditions it is possible to enact a specific treatment. Particular attention must indeed be paid to the re-evaluation of drug therapy, with dose adjustments or withdrawal especially for antihypertensive, diuretics and benzodiazepines. The Guidelines of the American Geriatrics Society recommend modification of environmental hazards, training paths, hip protectors and appropriate use of support tools (sticks, walkers), which can be effective elements of a multifactorial intervention program. Balance exercises are also recommended. In conclusion, an initial assessment, supported by a comprehensive cardiovascular and neuroautonomic evaluation, allows for reaching a final diagnosis in most cases, demonstrating a key role in the real identification of the etiology of the fall and implementing the treatment measures.

Data to evaluate the usability of an interactive system based on a judgment-based model.

The data presented in this article are related to the published article entitled "A Judgment-Based Model for Usability Evaluating of Interactive Systems Using Fuzzy Multi Factors Evaluation (MFE)" in "Applied Soft Computing" [1]. The purpose of data collection in this paper was to integrate a fuzzy multifactorial evaluation (MFE) model based on the judgment of experts in the three fields of ISPD, HCI, and AMLM. Two sets of data were used to conduct this research. One set of data extracted from WoS related to 180 articles published in 2018-2019. The data were extracted by searching the keyword "interactive system" in the "Computer Science" category. The second category of data is related to the opinions of experts. Component factor analysis in "IBM SPSS 25 Statistics" was used to classify the objectives of the interaction system. The collected data were prepared as FIS inputs. A FIS was designed to evaluate usability using a fuzzy toolbox of MATLAB software of Mamdani type. Inputs consisted of four classes of interactive systems and five usability criteria as outputs. One of the inputs as the target of the interactive system was not considered a fuzzy variable. The rest of the inputs and five outputs were considered the fuzzy variable.