The Predictive Validity and Clinical Application of Stopping Elderly Accidents, Deaths & Injuries (STEADI) for Fall Risk Screening

Associations of Frailty, Concerns About Falling, and Fall Risk in Community-Dwelling Older Adults in Orlando, Florida: A Preliminary Analysis

Objectives

This study examines relationships between frailty, concerns about falling (CaF), and fall risk in community-dwelling older adults (≥60 years old).

Methods

Frailty, CaF, and fall risk were cross-sectionally assessed using the FRAIL, short FES-I, and STEADI questionnaires in 178 participants. Spearman correlations, logistical regression, and ordinal regression analysis were performed.

Results

38.2% of participants were robust, 48.9% pre-frail, and 12.9% frail. Logistic regressions revealed that frail individuals were 91.4% more likely to have CaF compared to non-frail individuals, and individuals with lower fall risk were 5.7 times less likely to have CaF than those with no fall risk. Pre-frail individuals were more likely to have fall risk than non-frail individuals. Individuals with low CaF were 6 times less likely to have fall risk than those with high CaF. Ordinal logistic regressions revealed that for individuals with no CaF and no fall risk, the odds of being frail were 69.5% and 86.7% lower, respectively, than those with high CaF and high fall risk.

Conclusions

Frailty relationships with fall risk and CaF indicate the importance of addressing frailty to aid in fall prevention in older adults. Further, addressing the CaF mentality is important in fall prevention in older adults. ClinicalTrials.gov ID: NCT05778604.

Evaluating the effectiveness of evidence-based falls prevention programs: a study on participant risk levels and program congruency

Background

Falls are a leading cause of injury and injury-related deaths in older adults. A variety of community-delivered, evidence-based, fall risk-reduction programs have been developed and proven effective. These evidence-based fall prevention programs (EBFPP) have been classified along a fall-risk continuum, indicating the target fall-risk level of participants. The congruency between the program's targeted and enrolled fall-risk level of participants is unknown. This study creates a fall-risk classification index, places participants into one of three fall risk categories, and then examines congruency of actual vs. recommended fall-risk of participants, by program.

Methods

Data came from the Healthy Aging Programs Integrated Database, created by the National Council on Aging (NCOA) funded by the Administration for Community Living (ACL) for use by ACL falls prevention program grantees. Using data from a pre-participation survey designed by the ACDL for their grantees, a fall risk index was created. The fall risk levels of the participants were then compared to the fall risk profile of the EBFPPs as identified in NCOA's Evidence-based Falls Prevention Programs Risk Continuum Guidance for Program Selection in which they were enrolled.

Results

Between July 2016 and June 2022, 105,323 older adults participated in one of eight EBFPPs. Participant characteristics varied among programs. Applying the fall risk index to the fall risk sample (31,064 older adults), 29% of participants were identified as being at high risk, 41% at moderate risk, and 30% at low risk. When the fall risk level of participants, by program, was compared to the target risk profile of the associated EBFPP, programs that had a risk profile targeting individuals at moderate to low risk were found to enroll a larger percentage of adults at high risk than expected. All programs enrolled at least some participants at each of the three risk levels.

Conclusion

All eight EBFPPs enrolled participants across all three fall-risk levels with most programs being at least somewhat congruent with the fall-risk program continuum recommendations. More research is needed to better understand inconsistencies between risk-levels of program, target risk-levels, and actual participant risk-level, to guide either adaptations in the risk-level classification or program modifications to accommodate different risk-levels.

Concurrent Validity and Reliability of In-Person and Supervised Remote STEADI Fall Risk Assessment in Community-Dwelling Older Adults

BACKGROUND AND PURPOSE

Physical therapists play a vital role in preventing and managing falls in older adults. With advancements in digital health and technology, community fall prevention programs need to adopt valid and reliable telehealth-based assessments. The purpose of this study was to evaluate the validity and reliability of the telehealth-based timed up and go (TUG) test, 30-second chair stand test (30s-CST), and four-stage (4-stage) balance test as functional components of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall risk assessment.

METHODS

This cross-sectional study was conducted using a convenience sample of community-dwelling older adults. The TUG, 30s-CST, and 4-stage balance test were administered in random order in 1 session in the participant's own environment. Performance was scored concurrently by an in-person and synchronous telehealth rater. The video recordings of the performances were scored by an asynchronous telehealth rater on days 1 and 30 for inter- and intra-rater reliability. Additionally, participants performed the TUG test twice, using the distance measured by the participant and the distance measured by the in-person rater. To establish the validity of telehealth-based STEADI fall risk assessments, the Intraclass Correlation Coefficient (ICC), Pearson correlation coefficient, and 95% limits of agreement were derived. Inter- and intra-rater reliability were established by calculating ICC using a 2-way mixed model. Bland-Altman plots were created for nonsignificant proportional bias tests.

RESULTS AND DISCUSSION

Thirty community-dwelling older adults participated. Based on the STEADI algorithm, 13 participants were classified as having a moderate fall risk. A comparison of in-person and synchronous telehealth ratings showed excellent ICCs (0.97-0.99) and relationships (r = 0.94-0.98). Bland-Altman plots were created for all tests except for the 30s-CST (t = -2.168, P = .04). All tests had good to excellent inter-rater reliability (ICC = 0.84-1.00) and intra-rater reliability (0.77-1.00). No adverse events were reported.

CONCLUSION

This study suggests that telehealth-administered functional tests in the STEADI fall risk assessment are valid and reliable when technology, environment, camera view, and angle are optimally managed.

Risk Factors for Falls in Community-Dwelling Older Adults During the Novel Coronavirus Pandemic in Japan: A Prospective Cohort Study

This study aimed to test the hypothesis that knowledge derived from indirect assessments can be used to identify fall risk factors during a period of social distancing. A baseline survey of 1953 community-dwelling older adults was conducted in May 2020, with a follow-up survey performed in May 2023 to assess the situation 3 years later. In total, 339 individuals were followed from baseline to follow-up. Baseline age, sex, Questionnaire for Change of Life, Frailty Screening Index, and Questionnaire for Medical Checkup of Old-Old (QMCOO) scores and subscales were used to determine fall predictors. In addition, history of falls in the past year was assessed at follow-up (outcome). The participants were categorized into fall (n = 78) and non-fall (n = 261) groups. Using binary logistic regression analysis, items that showed significant differences in a between-group comparison were analyzed, and age and history of falls, which were sub-items of the QMCOO, were identified as predictors of falls. Although special assessments may be required during periods of social distancing, we believe that it is important for these assessments to continue being performed as they are performed during normal times.

Construction of an instrument to enable the assessment of the risk of falls in older outpatients: A quantitative methodological study

OBJECTIVES

To develop an instrument to facilitate the risk assessment of falls in older outpatients.

DESIGN

A quantitative methodological study using the cross-sectional data.

METHODS

This study enrolled 1988 older participants who underwent comprehensive geriatric assessment (CGA) in an outpatient clinic from May 2020 to November 2022. The history of any falls (≥1 falls in a year) and recurrent falls (≥2 falls in a year) were investigated. Potential risk factors of falls were selected by stepwise logistic regression, and a screening tool was constructed based on nomogram. The tool performance was compared with two reference tools (Fried Frailty Phenotype; CGA with 10 items, CGA-10) by using receiver operating curves, sensitivity (Sen), specificity (Spe), and area under the curve (AUC).

RESULTS

Age, unintentional weight loss, depression measured by the Patient Health Questionnaire-2, muscle strength measured by the five times sit-to-stand test, and stand balance measured by semi- and full-tandem standing were the most important risk factors for falls. A fall risk screening tool was constructed with the six measurements (FRST-6). FRST-6 showed the best AUC (Sen, Spe) of 0.75 (Sen = 0.72, Spe = 0.69) for recurrent falls and 0.65 (Sen = 0.74, Spe = 0.48) for any falls. FRST-6 was comparable to CGA-10 and outperformed FFP in performance.

CONCLUSIONS

Age, depression, weight loss, gait, and balance were important risk factors of falls. The FRST-6 tool based on these factors showed acceptable performance in risk stratification.

IMPACT

Performing a multifactorial assessment in primary care clinics is urgent for falls prevention. The FRST-6 provides a simple and practical way for falls risk screening. With this tool, healthcare professionals can efficiently identify patients at risk of falling and make appropriate recommendations in resource-limited settings.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution was received, due to our study design.