Falls experienced by adult cancer survivors: a scoping review.

PURPOSE: Accidental falls among adult cancer survivors are a health concern. Falls impose economic burdens and detrimental consequences to cancer survivors. This review aimed to synthesize findings from published research to explore the relationship between falls and cancer diagnosis and treatment among cancer survivors. MATERIALS AND METHODS: A scoping review was conducted using four databases (Medline, EMBASE, CINAHL, and Scopus) for the years 2001-2021. A total of 425 abstracts were identified after removing duplicates. A second search for the years 2022-2023 was completed where 80 abstracts were identified. Abstract screening, full-text review, and data extraction were conducted. Study characteristics and key findings were extracted from full texts. Descriptive numerical summaries were presented, and narrative analyses were performed. RESULTS AND CONCLUSIONS: A total of 42 articles were included in the scoping review which demonstrated (1) an increased prevalence of falls among cancer survivors, (2) the presence of cancer-specific fall risk factors, (3) a lack of cancer-specific fall prediction tools, and (4) few fall prevention interventions as part of usual care among cancer survivors. Younger cancer survivors were underrepresented. Cancer survivors should be aware of their risk of falls, and health professionals should ensure that fall prevention is part of usual care.

Falls are associated with cancer survivorship and as there are more people living with and beyond cancer, falls are becoming more significant.There are cancer-specific fall risk factors relevant to cancer survivors which can contribute to increased fall risk.However, fall prevention may not be addressed in standard care for cancer survivors.This review suggests cancer-specific fall risk tools are needed, and that fall prevention should be part of oncologic care.

Root cause analysis and strategies for reducing falls among inpatients in healthcare facilities: A narrative review.

Background and Aims: Root Cause Analysis (RCA) is a systematic process which can be applied to analyze fall incidences in reactive manner to identify contributing factors and propose actions for preventing future falls. To better understand cause of falls and effective interventions for their reduction we conducted a narrative review of RCA and Strategies for Reducing Falls among Inpatients in Healthcare Facilities. Methods: In this narrative review, databases including Scopus, ISI Web of Science, Cochrane, and PubMed were searched to obtain the related literature published. Databases were searched from January 2005 until the end of March 2023. The Joanna Briggs Institute (JBI) tool was used for quality assessment of articles. To analyze the data, a five-stage framework analysis method was utilized. Results: Seven articles that fulfilled the inclusion criteria were identified for this study. All of the selected studies were interventional in nature and employed the RCA method to ascertain the underlying causes of inpatient falls. The root causes discovered for falls involved patient-related factors (37.5%), environmental factors (25%), organizational and process factors (19.6%), staff and communication factors (17.9%). Strategies to reduce falls involved environmental measures and physical protection (29.4%), identifying, and displaying the causes of risk (23.5%), education and culturalization (21.6%), standard fall risk assessment tool (13.7%), and supervision and monitoring (11.8%). Conclusion: the findings identify the root causes of falls in inpatient units and provide guidance for successful action plan execution. Additionally, it emphasizes the importance of considering the unique characteristics of healthcare organizations and adapting interventions accordingly for effectiveness in different settings.

Risk factors for falls among hospitalized medical patients - A systematic review and meta-analysis.

OBJECTIVE: To identify and quantify risk factors for in-hospital falls in medical patients. DATA SOURCES: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles. STUDY SELECTION: All titles and abstracts of the retrieved articles were independently screened by two researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded. DATA EXTRACTION: Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool. PRISMA and MOOSE guidelines were followed for reporting. DATA SYNTHESIS: The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in five or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5,067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (OR 2.54; 95% CI 1.63- 3.96; I2 91%), antidepressants (pooled OR 2.25; 95% confidence interval [95% CI] 1.92-2.65; I2 0%), benzodiazepines (OR 1.97; 95% CI 1.68-2.31; I2 0%), hypnotics-sedatives (OR 1.90; 95% CI 1.53-2.36; I2 46%), and antipsychotics (OR 1.61; 95% CI 1.33-1.95; I2 0%). Furthermore, evidence of associations with male sex (OR 1.22, 95% CI 0.99-1.50, I2 65%) and age (OR 1.17, 95% CI 1.02-1.35, I2 72%) were found, but effect sizes were small. CONCLUSIONS: The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions.

Identifying determinants for falls among Iranian older adults: insights from the Bushehr Elderly Health Program.

BACKGROUND: Falls are a common cause of fractures in older adults. This study aimed to investigate the factors associated with spontaneous falls among people aged ≥ 60 years in southern Iran. METHODS: The baseline data of 2,426 samples from the second stage of the first phase of a prospective cohort, the Bushehr Elderly Health (BEH) program, were included in the analysis. A history of spontaneous falls in the year before recruitment was measured by self-report using a standardized questionnaire. Demographic characteristics, as well as a history of osteoarthritis, rheumatoid arthritis, low back pain, Alzheimer's disease, epilepsy, depression, and cancer, were measured using standardized questionnaires. A tandem gait (heel-to-toe) exam, as well as laboratory tests, were performed under standard conditions. A multiple logistic regression model was used in the analysis and fitted backwardly using the Hosmer and Lemeshow approach. RESULTS: The mean (standard deviation) age of the participants was 69.34 (6.4) years, and 51.9% of the participants were women. A total of 260 (10.7%, 95% CI (9.5-12.0)%) participants reported a spontaneous fall in the year before recruitment. Adjusted for potential confounders, epilepsy (OR = 4.31), cancer (OR = 2.73), depression (OR = 1.81), low back pain (OR = 1.79), and osteoarthritis (OR = 1.49) increased the risk of falls in older adults, while the ability to stand ≥ 10 s in the tandem gait exam (OR = 0.49), being male (OR = 0.60), engaging in physical activity (OR = 0.69), and having high serum triglyceride levels (OR = 0.72) reduced the risk of falls. CONCLUSION: The presence of underlying diseases, combined with other risk factors, is significantly associated with an increased risk of falls among older adults. Given the relatively high prevalence of falls in this population, it is crucial to pay special attention to identifying and addressing these risk factors.

Relationship between social participation, children's support, and social frailty with falls among older adults in Colombia.

Background: There is limited research on social factors related to falls among older adults. This study assessed the association between falls during the past year with social participation, children's support, relationship with children, and social frailty. Methods: Participants were 17,687 community-dwelling older adults from the SABE (Health, Well-being, and Aging, 2015) Colombia survey. Covariates included sociodemographic characteristics, environmental barriers, psychotropic intake, vision problems, memory loss, multimorbidity, and fear of falling. Results: In multivariate logistic regression analyses, being socially frail (vs. no-frail) was associated with higher odds of falls (OR=1.20; 95% confidence interval [CI], 1.10-1.32). Participating in groups (OR=1.07; 95% CI, 1.03-1.11), helping others (OR=1.04; 95% CI, 1.02-1.06), or volunteering (OR=1.09; 95% CI, 1.01-1.17) were also associated with higher odds of falls. These findings were partly explained because most group participants reside in cities where they are more exposed to environmental barriers. In contrast, receiving help, affection, and company from children (OR=0.95; 95% CI, 0.93-0.97) was associated with lower fall odds than not receiving it. Moreover, having a good relationship with children was associated with lower odds of falls (OR=0.75; 95% CI, 0.66-0.85) compared to an unsatisfactory relationship. Conclusion: Support from children and having a good relationship with them were associated with fewer falls; however, social frailty and participation in social groups were associated with more falls.

A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.

BACKGROUND: Prediction models can identify fall-prone individuals. Prediction models can be based on either data from research cohorts (cohort-based) or routinely collected data (RCD-based). We review and compare cohort-based and RCD-based studies describing the development and/or validation of fall prediction models for community-dwelling older adults. METHODS: Medline and Embase were searched via Ovid until January 2023. We included studies describing the development or validation of multivariable prediction models of falls in older adults (60+). Both risk of bias and reporting quality were assessed using the PROBAST and TRIPOD, respectively. RESULTS: We included and reviewed 28 relevant studies, describing 30 prediction models (23 cohort-based and 7 RCD-based), and external validation of two existing models (one cohort-based and one RCD-based). The median sample sizes for cohort-based and RCD-based studies were 1365 [interquartile range (IQR) 426-2766] versus 90 441 (IQR 56 442-128 157), and the ranges of fall rates were 5.4% to 60.4% versus 1.6% to 13.1%, respectively. Discrimination performance was comparable between cohort-based and RCD-based models, with the respective area under the receiver operating characteristic curves ranging from 0.65 to 0.88 versus 0.71 to 0.81. The median number of predictors in cohort-based final models was 6 (IQR 5-11); for RCD-based models, it was 16 (IQR 11-26). All but one cohort-based model had high bias risks, primarily due to deficiencies in statistical analysis and outcome determination. CONCLUSIONS: Cohort-based models to predict falls in older adults in the community are plentiful. RCD-based models are yet in their infancy but provide comparable predictive performance with no additional data collection efforts. Future studies should focus on methodological and reporting quality.

Evaluating fall event definitions relative to lower limb prosthesis users' lived experiences.

PURPOSE: Evaluate specific elements of previously proposed fall and near-fall definitions to determine whether they fully capture lower limb prosthesis (LLP) users' lived experiences. METHODS: Semi-structured interviews were conducted with 24 LLP users. Interview transcripts were reviewed, coded, and analyzed using deductive thematic analysis to identify shared experiences and inform revisions to previously reported definitions. RESULTS: Four major themes emerged: a fall can be initiated by more than just a loss of balance, loss of balance and losing balance are considered similar, falls are not limited to landing on the ground or floor, and catching yourself and recovering your balance are distinct responses to a loss of balance. CONCLUSIONS: Two revisions were made to previous definitions to better align with LLP users' experiences and historically overlooked fall circumstances. A fall is defined as a loss of balance or sudden loss of support where your body lands on the ground, floor, or another object. A near-fall was defined as a loss of balance where you caught yourself or recovered your balance without landing on the ground, floor, or another object. Implementation of these new definitions will aid the collection of accurate, consistent, and meaningful fall data, enhancing aggregation and comparison across studies.

Falls are a top health concern for lower limb prosthesis users.Understanding how lower limb prosthesis users experience falls helps build meaningful fall definitions.Standardized definitions allow clinicians to document fall events with greater consistency and justify fall prevention interventions.

A novel multistep approach to standardize the reported risk factors for in-hospital falls: a proof-of-concept study.

Background: Uncertainty and inconsistency in terminology regarding the risk factors (RFs) for in-hospital falls are present in the literature. Objective: (1) To perform a literature review to identify the fall RFs among hospitalized adults; (2) to link the found RFs to the corresponding categories of international health classifications to reduce the heterogeneity of their definitions; (3) to perform a meta-analysis on the risk categories to identify the significant RFs; (4) to refine the final list of significant categories to avoid redundancies. Methods: Four databases were investigated. We included observational studies assessing patients who had experienced in-hospital falls. Two independent reviewers performed the inclusion and extrapolation process and evaluated the methodological quality of the included studies. RFs were grouped into categories according to three health classifications (ICF, ICD-10, and ATC). Meta-analyses were performed to obtain an overall pooled odds ratio for each RF. Finally, protective RFs or redundant RFs across different classifications were excluded. Results: Thirty-six articles were included in the meta-analysis. One thousand one hundred and eleven RFs were identified; 616 were linked to ICF classification, 450 to ICD-10, and 260 to ATC. The meta-analyses and subsequent refinement of the categories yielded 53 significant RFs. Overall, the initial number of RFs was reduced by about 21 times. Conclusion: We identified 53 significant RF categories for in-hospital falls. These results provide proof of concept of the feasibility and validity of the proposed methodology. The list of significant RFs can be used as a template to build more accurate measurement instruments to predict in-hospital falls.

Factors associated with fear of falling and fall-related injuries among people who use wheelchairs and motorized mobility scooters: a cross-sectional study.

PURPOSE: To identify the factors associated with the fear of falling (FOF) and fall-related injuries (FRI) among full-time wheelchair and motorized mobility scooter (WC/S) users with various health conditions. METHODS: This cross-sectional study included participants (≥18 years old) who used WC/S for at least one year for ≥ 75% of mobility and had a history of ≥ 1 fall in the past three years. Logistic regression models identified factors associated with FOF (yes/no) and FRI (yes/no) during the past year. Data on demographics, prior falls, mental health, environmental accessibility, and WC/S usage were used as independent variables. RESULTS: Among 156 participants, 96% reported at least one fall within the past year, among whom 94.6% reported FOF, and 74% reported FRI within the same period. FOF was associated with fall incidence in the past year (OR = 17.75, p = 0.001). FRI was associated with higher levels of anxiety (OR = 1.15, p = 0.003) and fewer hours of WC/S use per week (OR = 0.98, p = 0.012). CONCLUSION: This study highlights the high prevalence of FOF and FRI among WC/S users who had falls. The findings emphasized the relation between prior fall experiences and FOF and underscored the significance of addressing anxiety symptoms and WC/S usage in relation to FRI.

Among individuals with a variety of health conditions who use wheelchairs and motorized mobility scooters full-time for most of their mobility and have experienced at least one fall incident within the past year, the prevalence of psychosocial and physical consequences of falls (fear of falling and fall-related injuries) is relatively high.Given the significant association between an individual's previous fall experiences and the likelihood of fear of falling, continuous screening for falls is a crucial step toward fall prevention for people who use wheelchairs and motorized mobility scooters full-time.Recognizing the importance of the unique needs of individuals who use wheelchairs and motorized mobility scooters and tailoring interventions like wheelchair skills and anxiety management education may enhance overall rehabilitation outcomes.

Changes in Nursing Staff Levels and Injury-Related Emergency Department Visits among Assisted Living Residents with Alzheimers Disease and Related Dementias.

OBJECTIVES: To examine the relationship between changes in nursing staff-hours per resident-day and injury-related emergency department (ED) visits among assisted living (AL) residents with Alzheimer disease and related dementias (ADRD). DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: We leveraged a data set of AL community characteristics in Ohio linked to Medicare claims data from 2007 to 2015. METHODS: We estimated Poisson models examining the relationships of personal care aide, registered nurse (RN), licensed practical nurse (LPN), and total nursing hours with injury-related ED visits. Models were adjusted for resident characteristics (ie, age, race, sex, dual eligibility, presence and number of chronic conditions), AL community characteristics (percentage of residents on Medicaid, average resident acuity), year fixed effects, and assisted living fixed effects. We examined all injury-related ED visits and injury-related ED visits resulting in hospital admission as separate outcomes. RESULTS: The sample included 122,700 person-months, representing 12,144 fee-for-service Medicare beneficiaries with ADRD within 455 different AL communities in Ohio between 2007 and 2015. Median total nursing hours increased from 1.34 in 2007 to 1.69 in 2015. In the fully adjusted model, an increase in 1 RN-hour per resident-day was associated with a decrease in the risk of any injury-related ED visit (incidence rate ratio 0.59, 95% CI 0.36-0.96), representing a 53% decrease. Changes in RN-hours were not associated with injury-related inpatient hospitalizations. Changes in total nursing, LPN, and personal care aide hours were not associated with changes in the risk of injury-related ED visits or inpatient hospitalizations. CONCLUSIONS AND IMPLICATIONS: Increases in RN staffing hours were associated with reduced injury-related ED use among AL residents with ADRD. RNs provide surveillance and care oversight that may help mitigate injury risk, and they are able to physically assess residents at the time of a fall and/or injury, which can preempt unnecessary ED transfers.

Do serial troponins predict the need for cardiac evaluation in trauma patients after ground-level fall?

Purpose: Troponin T levels are routinely checked in trauma patients after experiencing a ground-level fall to identify potential cardiac causes of syncope. An elevated initial troponin prompts serial testing until the level peaks. However, the high sensitivity of the test may lead to repeat testing that is of little clinical value. Here, we examine the role of serial troponins in predicting the need for further cardiac workup in trauma patients after sustaining a fall. Methods: Retrospective review of all adult trauma activations for ground-level fall from January 1, 2021 to December 31, 2021 in patients who were hemodynamically and neurologically normal at presentation. Outcomes evaluated included need for cardiology consult, admission to cardiology service, outpatient cardiology follow-up, cardiology intervention and in-hospital mortality. Results: There were 1555 trauma activations for ground-level fall in the study period. The cohort included 560 patients evaluated for a possible syncopal fall, hemodynamically stable, Glasgow Coma Scale score of 15, and with a troponin drawn at presentation. The initial median troponin was 20 ng/L (13-37). Second troponin values were drawn on 58% (median 33 ng/L (22-52)), with 42% of patients having an increase from first to second test. 29% of patients had a third troponin drawn (median 42 ng/L (26-67)). The initial troponin value was significantly associated with undergoing a subsequent echo (p=0.01), cardiology consult (p<0.01), admission for cardiac evaluation (p<0.01), cardiology follow-up (p<0.01), and in-hospital mortality (p=0.01); the initial troponin was not associated with cardiac intervention (p=0.91). An increase from the first to second troponin was not associated with any of outcomes of interest. Analysis was done with cut-off values of 30 ng/L, 50 ng/L, 70 ng/L, and 90 ng/L; a troponin T threshold of 19 ng/L was significant for cardiology consult (p=0.01) and cardiology follow-up (p=0.04). When the threshold was increased to 50 ng/L, it was also significant for admission for cardiac issue (p<0.01). When the threshold was increased to 90 ng/L, it was significant for the same three outcomes and in-hospital mortality (p=0.04). Conclusion: The initial serum troponin has clinical value in identifying underlying cardiac disease in patients who present after ground-level fall; however, that serial testing is likely of little value. Further, using a cut-off of >50 ng/L as a threshold for further clinical evaluation would improve the utility of the test and likely reduce unnecessary hospital stays and costs for otherwise healthy patients. Level of evidence: Level III.

A novel score for predicting falls in community-dwelling older people: a derivation and validation study.

BACKGROUND: Early detection of patients at risk of falling is crucial. This study was designed to develop and internally validate a novel risk score to classify patients at risk of falls. METHODS: A total of 334 older people from a fall clinic in a medical center were selected. Least absolute shrinkage and selection operator (LASSO) regression was used to minimize the potential concatenation of variables measured from the same patient and the overfitting of variables. A logistic regression model for 1-year fall prediction was developed for the entire dataset using newly identified relevant variables. Model performance was evaluated using the bootstrap method, which included measures of overall predictive performance, discrimination, and calibration. To streamline the assessment process, a scoring system for predicting 1-year fall risk was created. RESULTS: We developed a new model for predicting 1-year falls, which included the FRQ-Q1, FRQ-Q3, and single-leg standing time (left foot). After internal validation, the model showed good discrimination (C statistic, 0.803 [95% CI 0.749-0.857]) and overall accuracy (Brier score, 0.146). Compared to another model that used the total FRQ score instead, the new model showed better continuous net reclassification improvement (NRI) [0.468 (0.314-0.622), P < 0.01], categorical NRI [0.507 (0.291-0.724), P < 0.01; cutoff: 0.200-0.800], and integrated discrimination [0.205 (0.147-0.262), P < 0.01]. The variables in the new model were subsequently incorporated into a risk score. The discriminatory ability of the scoring system was similar (C statistic, 0.809; 95% CI, 0.756-0.861; optimism-corrected C statistic, 0.808) to that of the logistic regression model at internal bootstrap validation. CONCLUSIONS: This study resulted in the development and internal verification of a scoring system to classify 334 patients at risk for falls. The newly developed score demonstrated greater accuracy in predicting falls in elderly people than did the Timed Up and Go test and the 30-Second Chair Sit-Stand test. Additionally, the scale demonstrated superior clinical validity for identifying fall risk.

Effects of community-based fall prevention interventions for older adults using information and communication technology: A systematic review and meta-analysis.

Objectives: This systematic review and meta-analysis aimed to investigate the effect of fall prevention interventions using information and communication technology (ICT). Methods: A comprehensive search across four databases was performed. The inclusion criteria were fall prevention interventions including telehealth, computerized balance training, exergaming, mobile application education, virtual reality exercise, and cognitive-behavioral training for community-dwelling adults aged ≥60 years. Results: Thirty-four studies were selected. Telehealth, smart home systems, and exergames reduced the risk of falls (RR = 0.63, 95% CI [0.54, 0.75]). Telehealth and exergame improved balance (MD = 3.30, 95% CI [1.91, 4.68]; MD = 4.40, 95% CI [3.09, 5.71]). Telehealth improved physical function (SMD = 0.69, 95% CI [0.23, 1.16]). Overall, ICT fall interventions improved fall efficacy but not cognitive function. For quality of life (QOL), mixed results were found depending on the assessment tools. Conclusion: Future investigations on telehealth, smart home systems, or exergames are needed to motivate older adults to exercise and prevent falls.

Validation of the Saga Fall Injury Risk Model.

Background: Predicting fall injuries can mitigate the sequelae of falls and potentially utilize medical resources effectively. This study aimed to externally validate the accuracy of the Saga Fall Injury Risk Model (SFIRM), consisting of six factors including age, sex, emergency transport, medical referral letter, Bedriddenness Rank, and history of falls, assessed upon admission. Methods: This was a two-center, prospective, observational study. We included inpatients aged 20 years or older in two hospitals, an acute and a chronic care hospital, from October 2018 to September 2019. The predictive performance of the model was evaluated by calculating the area under the curve (AUC), 95% confidence interval (CI), and shrinkage coefficient of the entire study population. The minimum sample size of this study was 2,235 cases. Results: A total of 3,549 patients, with a median age of 78 years, were included in the analysis, and men accounted for 47.9% of all the patients. Among these, 35 (0.99%) had fall injuries. The performance of the SFIRM, as measured by the AUC, was 0.721 (95% CI: 0.662-0.781). The observed fall incidence closely aligned with the predicted incidence calculated using the SFIRM, with a shrinkage coefficient of 0.867. Conclusions: The external validation of the SFIRM in this two-center, prospective study showed good discrimination and calibration. This model can be easily applied upon admission and is valuable for fall injury prediction.

Predictive value of the World falls guidelines algorithm within the AGELESS-MELoR cohort.

AIM: The World Falls Guidelines (WFG) Task Force published a falls risk stratification algorithm in 2022. However, its adaptability is uncertain in low- and middle-income settings such as Malaysia due to different risk factors and limited resources. We evaluated the effectiveness of the WFG risk stratification algorithm in predicting falls among community-dwelling older adults in Malaysia. METHODS: Data from the Malaysian Elders Longitudinal Research subset of the Transforming Cognitive Frailty into Later-Life Self-Sufficiency cohort study was utilized. From 2013-2015, participants aged ≥55 years were selected from the electoral rolls of three parliamentary constituencies in Klang Valley. Risk categorisation was performed using baseline data. Falls prediction values were determined using follow-up data from wave 2 (2015-2016), wave 3 (2019) and wave 4 (2020-2022). RESULTS: Of 1,548 individuals recruited, 737 were interviewed at wave 2, 858 at wave 3, and 742 at wave 4. Falls were reported by 13.4 %, 29.8 % and 42.9 % of the low-, intermediate- and high-risk groups at wave 2, 19.4 %, 25.5 % and 32.8 % at wave 3, and 25.8 %, 27.7 % and 27.0 % at wave 4, respectively. At wave 2, the algorithm generated a sensitivity of 51.3 % (95 %CI, 43.1-59.2) and specificity of 80.1 % (95 %CI, 76.6-83.2). At wave 3, sensitivity was 29.4 % (95 %CI, 23.1-36.6) and specificity was 81.6 % (95 %CI, 78.5-84.5). At wave 4, sensitivity was 26.0 % (95 %CI, 20.2-32.8) and specificity was 78.4 % (95 %CI, 74.7-81.8). CONCLUSION: The algorithm has high specificity and low sensitivity in predicting falls, with decreasing sensitivity over time. Therefore, regular reassessments should be made to identify individuals at risk of falling.

Managing falls onsite in residential aged care homes reduced hospitalisation: Mixed methods results from the Falls Outreach and Residential Mobile Assessment Team (FORMAT) pilot study.

OBJECTIVE: Falls are the leading cause of hospital transfer from residential aged care homes (RACHs). However, many falls do not result in significant injury, and ageing patients are exposed to complications while hospitalised. Inreach services are designed to reduce hospital transfer by providing care, support and assessment to residents at the RACH. This study evaluated a pilot inreach program targeting ageing patients following a fall. METHODS: We conducted a prospective, mixed methods evaluation of a 5-month (May-September 2022) pilot implementation across 108 government-funded RACHs within a single health-care network in Melbourne, Australia. RESULTS: A total of 123 residents (median [interquartile range] age: 88 [82, 94] years, female: 49%) were included in the intervention. The majority (n = 116, 94%) of residents were managed onsite and required no further investigation (n = 80, 69%) or treatment (n = 63, 54%). Among the seven residents referred to the emergency department (ED), two received hospital admission and five were transferred back to residential care. In the 7 days following referral to the intervention, four additional residents were referred to the ED and one received hospital admission. Qualitative feedback (n = 40) included specific comments relating to themes of general satisfaction (n = 20, 50%), compliments for staff (n = 16, 40%) and acknowledgement of comprehensiveness (n = 9, 23%). CONCLUSIONS: Implementation of a specialised fall assessment team to complement an existing geriatric-led RACH assessment service meant that a high rate of eligible residents were managed onsite, with very low need for subsequent hospitalisation. Residents, family members and caregivers expressed high rates of satisfaction with the service.

Psychometric Properties of the Fall Risk Perception Questionnaire-Short Version for Inpatients in Acute Care Hospitals.

PURPOSE: Patients' perception of fall risk is a promising new indicator for fall prevention. Therefore, a fall risk perception questionnaire that can be used rapidly and repeatedly in acute care settings is required. This study aimed to develop a short version of the fall risk perception questionnaire (Short-FRPQ) for inpatients. METHODS: For the psychometric measurements, 246 inpatients were recruited from an acute care hospital. The construct (using confirmatory factor analysis and discriminant validity of each item), convergent, and known-group validities were tested to determine the validity of the Short-FRPQ. McDonald's omega coefficient was used to examine the internal consistency of reliability. RESULTS: In the confirmatory factor analysis, the fit indices of the Short-FRPQ, comprising 14 items and three factors, appeared to be satisfactory. The Short-FRPQ had a significantly positive correlation with the original scale, the Korean Falls Efficacy Scale-International, and the Morse Fall Scale. The risk of falls group, assessed using the Morse Fall Scale, had a higher score on the Short-FRPQ. McDonald's omega coefficient was .90. CONCLUSION: The Short-FRPQ presents good reliability and validity. As patient participation is essential in fall interventions, evaluating the fall risk perception of inpatients quickly and repeatedly using scales of acceptable validity and reliability is necessary.

External Validation and Further Exploration of Fall Prediction Models Based on Questionnaires and Daily-Life Trunk Accelerometry.

Ambulatory measurements of trunk accelerations can provide valuable insight into the amount and quality of daily life activities. Such information has been used to create models to identify individuals at high risk of falls. However, external validation of such prediction models is lacking, yet crucial for clinical implementation. We externally validated 3 previously described fall prediction models. Complete questionnaires and 1-week trunk acceleration data were obtained from 263 community-dwelling people (mean age 71.8 years, 68.1% female). To validate models, we first used the coefficients and optimal cutoffs from the original cohort, then recalibrated the original models, as well as optimized parameters based on our new cohort. Among all participants, 39.9% experienced falls during a 6-month follow-up. All models showed poor precision (0.20-0.49), poor sensitivity (0.32-0.58), and good specificity (0.45-0.89). Calibration of the original models had limited effect on model performance. Using coefficients and cutoffs optimized on the external cohort also had limited benefits. Lastly, the odds ratios in our cohort were different from those in the original cohort, which indicated that gait characteristics, except for the index of harmonicity ML (medial-lateral direction), were not statistically associated with falls. Fall risk prediction in our cohort was not as effective as in the original cohort. Recalibration as well as optimized model parameters resulted in a limited increase in accuracy. Fall prediction models are highly specific to the cohort studied. This highlights the need for large representative cohorts, preferably with an external validation cohort.

The decline in postural balance has a negative impact on the performance of functional tasks in individuals with Parkinson's Disease.

INTRODUCTION: An accurate assessment of balance problems is critical for decreasing the risk of falling in patients with Parkinson's Disease (PD). Reliable diagnostic tools such as Computerized Dynamic Posturography (CDP) are not feasible for the clinical setting. Therefore, the present study's aim was to assess the correlation between the clinical Balance Evaluation Systems Test (BESTest) and CDP. METHODS: 20 male older adults with Parkinson's Disease (PD) were included in this study. Participants first executed the Sit-To-Stand (STS), Step/Quick turn (SQT), and Step Up and Over (SUO) tests on a Balance Master® force platform, followed by a clinical balance evaluation using the BESTest. RESULTS: Four outcomes of the CDP were negatively correlated with one or more BESTest domains or total BESTest score: STS sway velocity was negatively correlated with the anticipatory postural adjustment (p = 0.02) and sensory orientation (p = 0.01) domains. SQT turn time was negatively correlated with biomechanical restriction (for turns to the left, p = 0.01, and right, p = 0.03, respectively), postural response (p = 0.01, p = 0.01), dynamic balance during gait (p = 0.007, p = 0.001), and total score (p = 0.02, p = 0.01). Step over time to the right in SUP was negatively correlated with the limits of the stability domain (p = 0.002) and total BESTest score (p = 0.020). SUO impact index was negatively correlated with the anticipatory postural adjustment domain (p = 0.01). CONCLUSION: This study shows that several BESTest domains are significantly correlated with CDP outcomes, demonstrating that the BESTest can be used as a more clinically feasible alternative for computerized posturography, without loss of information.

[Effect of training with immersive virtual reality on the risk of falling in the elderly: a systematic review]. / Efecto del entrenamiento con realidad virtual inmersiva en el riesgo de caída de personas mayores: una revisión sistemática.

Aging entails changes in the human body, generating a decrease in physical capabilities, including the risk of falls. New therapies are currently emerging for the risk of falls and immersive virtual reality is one of them, giving the user a realistic feeling of a virtual environment. This systematic review aims to investigate the effects of immersive virtual reality on the risk of falling in older people. Randomized controlled clinical trials were included, with at least one intervention group that used immersive virtual reality, age >60 years and without multiple serious pathologies. Articles published until November 2023 were included, in accordance with the PRISMA guideline and including the PICO strategy, in the electronic databases PubMed, Scielo, Scopus, Semantic Scholar and Science Direct. From a total of 413 articles, 7 studies were selected, which met the pre-established inclusion and exclusion criteria. Of the studies reviewed, the majority found significant improvements in tests that measure risk of falls, only one study did not find improvements in this variable but did find improvements for walking speed and functional reach test. Despite the limited literature, it seems that these interventions can have a positive effect, becoming a good tool to reduce the risk of falling in older people.