Dataset Information

Reliability and Fall Risk Detection for the BESTest and Mini-BESTest in Older Adults.

ABSTRACT: BACKGROUND & PURPOSE:Test stability and test-retest reliability have not previously been reported for either the Balance Evaluation Systems Test (BESTest) or mini-BESTest (mBEST) in a population of older adults with nonspecific balance limitations. Furthermore, no criterion for identifying change greater than chance has been reported in older adults with nonspecific balance problems using either BESTest or mBEST scores. The purposes of this study were to determine test stability over time, test-retest reliability, to identify minimum detectable change for the BESTest and mBEST in a population of older adults with nonspecific balance problems. In addition, the ability of the BESTest and mBEST to identify past fallers was characterized. METHODS:This was an observational study with 58 adults 65 years or older with a history of falls or self-reported balance problem. The BESTest and mBEST were administered to all participants at the beginning and end of 4 weeks. Test-retest reliability was calculated with intraclass correlations, and minimum detectable change was calculated at the 95% confidence level (MDC95). Receiver operating characteristics were used to characterize the sensitivity and specificity of the BESTest and mBEST to identify older adults who had previously fallen. RESULTS:Balance scores did not significantly change over a 4-week period. Test-retest reliability for the BESTest (0.86) and mBEST (0.84) was good to excellent. MDC95 scores were identified for the BESTest (8.9) and mBEST (4). CONCLUSIONS:The BESTest and mBEST scores were stable and reliable over a period of 4 weeks for a population of older adults with self-reported balance problems or a history of falling. MDC95 scores allow interpretation of change in BESTest and mBEST scores following rehabilitation.

SUBMITTER: Anson E

PROVIDER: S-EPMC5658274 | biostudies-other | 2017 Apr

REPOSITORIES: biostudies-other

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Publications

Reliability and Fall Risk Detection for the BESTest and Mini-BESTest in Older Adults.

Anson Eric E Thompson Elizabeth E Ma Lei L Jeka John J

Journal of geriatric physical therapy (2001) 20190401 2

<h4>Background & purpose</h4>Test stability and test-retest reliability have not previously been reported for either the Balance Evaluation Systems Test (BESTest) or mini-BESTest (mBEST) in a population of older adults with nonspecific balance limitations. Furthermore, no criterion for identifying change greater than chance has been reported in older adults with nonspecific balance problems using either BESTest or mBEST scores. The purposes of this study were to determine test stability over tim ...[more]

PMID: 28448278

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Project description:Background: Near-falls such as a trip, slip, stumble, or misstep involve a loss of balance (LOB) that does not result in a fall, occur more frequently than actual falls, and are associated with an increased fall risk. To date, studies have largely involved detection of simulated laboratory LOBs using wearable devices in young adults. Data on the detection of and kinematics of naturally occurring LOBs in people at high risk of falling are lacking. This may provide a new way to identify older adults at high risk for falls. We aimed to explore key body kinematics underlying real-world trips in at-fall risk community dwelling older adults wearing inertial measurement units (IMU). Methods: Five community-dwelling older adults with a history of falls who reported trips during the study period participated. They wore a voice recorder and 4 IMUs mounted on feet, lower back and wrist for two consecutive weeks to provide a record of the context and timing of LOB events. Sensor data prior to time-stamped voice recording of a trip were processed in order to visually identify unusual foot trajectories and lower back and arm orientations. Then, data of feet, lower back and wrist position and orientation were combined to create a three-dimensional animation representing the estimated body motion during the noted time segments in order to corroborate the occurrence of a trip. Events reported as a trip by the participant and identified as a trip by a researcher, blinded to voice recordings description, were included in the final analysis. Results: A total of 18 trips obtained from five participants were analyzed. Twelve trips occurred at home, three outside and for three the location was not reported. Trips were identified in the sensor data by observing (1) additional peaks to the typical foot velocity signal during swing phase; (2) increased velocity of the contralateral foot and (3) sharp changes in lower back pitch angles. Conclusions: Our approach demonstrates the feasibility of identifying and studying the mechanisms and context underlying trip-related LOBs in at-fall risk older adults during real world activities.

Project description:Falls represent a significant threat to the health and independence of adults aged 65 years and older. As a wide variety and large number of passive monitoring systems are currently and increasingly available to detect when individuals have fallen, there is a need to analyze and synthesize the evidence regarding their ability to accurately detect falls to determine which systems are most effective.The purpose of this literature review is to systematically assess the current state of design and implementation of fall-detection devices. This review also examines to what extent these devices have been tested in the real world as well as the acceptability of these devices to older adults.A systematic literature review was conducted in PubMed, CINAHL, EMBASE, and PsycINFO from their respective inception dates to June 25, 2013.Articles were included if they discussed a project or multiple projects involving a system with the purpose of detecting a fall in adults. It was not a requirement for inclusion in this review that the system targets persons older than 65 years. Articles were excluded if they were not written in English or if they looked at fall risk, fall detection in children, fall prevention, or a personal emergency response device.Studies were initially divided into those using sensitivity, specificity, or accuracy in their evaluation methods and those using other methods to evaluate their devices. Studies were further classified into wearable devices and nonwearable devices. Studies were appraised for inclusion of older adults in sample and if evaluation included real-world settings.This review identified 57 projects that used wearable systems and 35 projects using nonwearable systems, regardless of evaluation technique. Nonwearable systems included cameras, motion sensors, microphones, and floor sensors. Of the projects examining wearable systems, only 7.1% reported monitoring older adults in a real-world setting. There were no studies of nonwearable devices that used older adults as subjects in either a laboratory or a real-world setting. In general, older adults appear to be interested in using such devices although they express concerns over privacy and understanding exactly what the device is doing at specific times.This systematic review was limited to articles written in English and did not include gray literature. Manual paper screening and review processes may have been subject to interpretive bias.There exists a large body of work describing various fall-detection devices. The challenge in this area is to create highly accurate unobtrusive devices. From this review it appears that the technology is becoming more able to accomplish such a task. There is a need now for more real-world tests as well as standardization of the evaluation of these devices.

Project description:OBJECTIVES:To examine: (1) prevalence of fall risk-increasing drug (FRID) use among older adults with a fall-related injury, (2) which FRIDs were most frequently prescribed, (3) whether FRID use was reduced following the fall-related healthcare episode, and (4) which interventions have reduced falls or FRID use in older adults with a history of falls. DESIGN:Systematic review. PARTICIPANTS:Observational and intervention studies that assessed (or intervened on) FRID use in participants aged 60?years or older who had experienced a fall. MEASUREMENTS:PubMed and EMBASE were searched through June 30, 2019. Two reviewers independently extracted data and evaluated studies for bias. Discrepancies were resolved by consensus. RESULTS:Fourteen of 638 articles met selection criteria: 10 observational studies and 4 intervention studies. FRID use prevalence at time of fall-related injury ranged from 65% to 93%. Antidepressants and sedatives-hypnotics were the most commonly prescribed FRIDs. Of the 10 observational studies, only 2 used a design adequate to capture changes in FRID use after a fall-related injury, neither finding a reduction in FRID use. Three randomized controlled studies conducted in various settings (hospital, emergency department, and community pharmacy) with 12-month follow-up did not find a reduction in falls with interventions to reduce FRID use, although the study conducted in the community pharmacy setting was effective in reducing FRID use. In a nonrandomized (pre-post) intervention study conducted in an outpatient geriatrics clinic, falls were reduced in the intervention group. CONCLUSIONS:Limited evidence indicates high prevalence of FRID use among older adults who have experienced a fall-related injury and no reduction in overall FRID use following the fall-related healthcare encounter. There is a need for well-designed interventions to reduce FRID use and falls in older adults with a history of falls. Reducing FRID use as a stand-alone intervention may not be effective in reducing recurrent falls. J Am Geriatr Soc 68:1334-1343, 2020.

Project description:BackgroundFalls are the leading cause of injury-related death in older adults. Due to various constraints, objective fall risk screening is seldom performed in clinical settings. Smartphones offer a high potential to provide fall risk screening for older adults in home settings. However, there is limited understanding of whether smartphone technology for falls screening is usable by older adults who present age-related changes in perceptual, cognitive, and motor capabilities.ObjectiveThe aims of this study were to develop a fall risk mobile health (mHealth) app and to determine the usability of the fall risk app in healthy, older adults.MethodsA fall risk app was developed that consists of a health history questionnaire and 5 progressively challenging mobility tasks to measure individual fall risk. An iterative design-evaluation process of semistructured interviews was performed to determine the usability of the app on a smartphone and tablet. Participants also completed a Systematic Usability Scale (SUS). In the first round of interviews, 6 older adults participated, and in the second round, 5 older adults participated. Interviews were videotaped and transcribed, and the data were coded to create themes. Average SUS scores were calculated for the smartphone and tablet.ResultsThere were 2 themes identified from the first round of interviews, related to perceived ease of use and perceived usefulness. While instructions for the balance tasks were difficult to understand, participants found it beneficial to learn about their risk for falls, found the app easy to follow, and reported confidence in using the app on their own. Modifications were made to the app, and following the second round of interviews, participants reported high ease of use and usefulness in learning about their risk of falling. Few differences were reported between using a smartphone or tablet. Average SUS scores ranged from 79 to 84.ConclusionsOur fall risk app was found to be highly usable by older adults as reported from interviews and high scores on the SUS. When designing a mHealth app for older adults, developers should include clear and simple instructions and preventative strategies to improve health. Furthermore, if the design accommodates for age-related sensory changes, smartphones can be as effective as tablets. A mobile app to assess fall risk has the potential to be used in home settings by older adults.

Dataset Information

Reliability and Fall Risk Detection for the BESTest and Mini-BESTest in Older Adults.

Publications

Reliability and Fall Risk Detection for the BESTest and Mini-BESTest in Older Adults.

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