High Fall Risk Research Articles

Fall risk-increasing drugs and associated health outcomes among community-dwelling older patients: A cross-sectional study in Croatian cohort of the EuroAgeism H2020 project.

Our study aimed to assess the prevalence of fall risk-increasing drugs (FRIDs) in a sample of community-residing older patients in Croatia and its association with negative health outcomes. An observational, cross-sectional study was conducted on older patients (65+) visiting community pharmacies in three regionally different study sites in Croatia. Data were collected using a questionnaire developed for that purpose and included components of comprehensive geriatric assessment. Prevalence of FRIDs was identified using the "Screening Tool of Older Persons Prescriptions in older adults with high fall risk" (STOPPFall). In the sample of 407 participants (median age 73 (IQR 69-70) years; 63.9 % females), 79.1 % used at least one FRID. The most common drug classes were diuretics, benzodiazepines, and opioids (in 51.1 %, 38.1 %, and 17.2 % participants, respectively). More FRIDs were prescribed to the oldest old patients (85+) and participants from poorer regions of Croatia (Slavonia) (p < 0.05). Exposition to FRIDs was identified as the significant risk factor associated with falls (OR = 1.24 (1.04-1.50); p = 0.020) and higher health-care utilization (OR = 1.29 (1.10-1.51); p = 0.001). Our study highlights the need for rationalization of FRID use. To reduce the unnecessary exposure to FRIDs in older adults, health-care professionals must consider high individualization of medication schemes regarding selection, dosing, and combinations of only necessary FRIDs.

Combined Assessment of Cognitive and Balance Abilities to Predict Falls in Patients in the Convalescent Rehabilitation Ward.

This study aimed to investigate the relationship between falls and cognitive and balance problems in patients. This retrospective observational study analyzed the medical records of 1010 older patients admitted to a convalescent rehabilitation ward. The primary endpoint was fall occurrence during ward stays. The main outcomes were the Mini-Mental State Examination (MMSE) and Standing Test for Imbalance and Disequilibrium (SIDE), with patients divided into groups of MMSE ≥28 and <28 and SIDE ≥2b and <2b. During ward stays, 220 patients (22%) fell. Estimating the fall risk of the MMSE ≥28 + SIDE ≥2b group compared to that of other groups revealed that only the MMSE <28 + SIDE <2b group had a significantly higher fall risk, with a hazard ratio [95% confidence interval] of 3.13 [1.51-6.46]. Combined MMSE and SIDE assessment at ward admission facilitated the easy identification of individuals at high fall risk.

Dynamic neuromuscular stabilization and its efficiency on sports performance

Neuromuscular stability is necessary for optimal sport performance. Stability is not achieved only by abdominal muscles, spine extensors and gluteals, but it is accomplished by precise coordination of these muscles and intra-abdominal pressure by the central nervous system. A primary role of the core muscles stability is to raise the intra-abdominal pressure and to increase the tension in the thoracolumbar fascia. Postural core instability is associated with poor dynamic balance control and with a high risk of injury or fall. Dynamic neuromuscular stabilization (DNS) is a rehabilitative approach to optimize the movement system based upon the scientific principles of developmental kinesiology and provides an effective tool in rehabilitation of sport injuries.

Association of Questionnaire-Assessed Fall Risk With Uncontrolled Blood Pressure and Therapeutic Inertia Among Older Adults.

Therapeutic inertia (TI), or failure to escalate or initiate BP lowering medications when BP is uncontrolled, increases with advancing age and may in part be due to perceived fall risk. This study examined the association of a fall risk assessment, based on patient response to three questions administered by trained staff, with uncontrolled BP (≥140/90mmHg) during a clinic visit and with TI during clinic visits with uncontrolled BP among 13893 patients age ≥65 years corresponding to 41122 primary care visits. Separate generalized linear mixed effects models were used to examine the association of fall risk (low, moderate, and high) with uncontrolled BP and with TI at a clinic visit after adjustment for demographics, comorbidities, and total number of visits. Baseline mean age was 73.0 years (standard deviation [SD] 5.6), 43.3% were men and questionnaire-assessed fall risk severity was low in 73.6%, moderate in 14.3%, and high in 12.2%. Compared to low fall risk, the adjusted odds of uncontrolled BP during a clinic visit were 0.97 (95% CI: 0.89, 1.06) and 0.90 (95% CI: 0.82, 0.98) with moderate and high fall risk, respectively. In contrast, adjusted odds of TI during a clinic visit with BP ≥140/90mmHg was 1.16 (95% CI: 1.01, 1.34) and 1.30 (95% CI: 1.11, 1.52) with moderate and high fall risk, respectively, compared to low fall risk. These findings suggest that perceived fall risk severity may be one of several factors that influence hypertension management in older adults.

Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults.

Accurate identification of community-dwelling older adults at high fall risk can facilitate timely intervention and significantly reduce fall incidents. Analyzing gait and balance capabilities via feature extraction and modeling through sensor-based motion data has emerged as a viable approach for fall risk assessment. However, the existing approaches for extracting key features related to fall risk lack inclusiveness, with limited consideration of the non-linear characteristics of sensor signals, such as signal complexity, self-similarity, and local stability. In this study, we developed a multifaceted feature extraction scheme employing diverse feature types, including demographic, descriptive statistical, non-linear, spatiotemporal and spectral features, derived from three-axis accelerometers and gyroscope data. This study is the first attempt to investigate non-linear features related to fall risk in multi-task scenarios from a dynamic system perspective. Based on the extracted multifaceted features, we propose an ensemble elastic net (E-E-N) approach for handling imbalanced data and offering high model interpretability. The E-E-N utilizes bootstrap sampling to construct base classifiers and employs a weighting mechanism to aggregate the base classifiers. We conducted a set of validation experiments using real-world data for comprehensive comparative analysis. The results demonstrate that the E-E-N approach exhibits superior predictive performance on fall risk classification. Our proposed approach offers a cost-effective tool for accurately assessing fall risk and alleviating the burden of continuous health monitoring in the long term.

Falls and fall-related injuries: prevalence, characteristics, and treatment among participants of the Geelong Osteoporosis Study.

Falls are a significant public health challenge, especially among older adults. In Australia, falls and related injuries incur an annual cost of $2.3 billion. However, there is a scarcity of prevalence data on falls among population-based groups. This study aimed to report the characteristics, circumstances, and treatment for falls and fall-related injuries in a population-based sample of Australian men and women. Participants from the Geelong Osteoporosis Study provided cross-sectional data: baseline for men (2001-2006) and 10-year follow-up for women (2004-2008). Falls over the previous 12 months were self-reported by 2,631 participants aged 20-97 years (1,533 men and 1,098 women). The study described the timing, location, cause, and treatment of falls. Fall prevalence was standardized to the 2006 Australian population. Data collection included self-reported prior fractures, medication, disease conditions, anthropometry, and biochemical tests. Binary logistic regression identified factors linked to fall-related injuries. Fall rates by age group: 20-29 (24.4%), 30-39 (21.5%), 40-49 (18.7%), 50-59 (24.9%), 60-69 (25.0%), 70-79 (34.6%), 80+ (40.5%). The age-standardized prevalence of falls was 25.0% (95% CI: 23.4-26.7%). In adults ≥65 years, the age-standardized prevalence of falls was 32.4% (95% CI: 29.3-35.5%). Fallers were typically older, less mobile, had higher BMI and cholesterol levels, and were more likely to have musculoskeletal conditions, cancer, and polypharmacy. Men had a higher fall risk, but fewer fall-related fractures compared to women. Most falls occurred outdoors (62.1%), were due to extrinsic cause (58.5%), and were on the same level (78.5%). Factors associated with fall-related injuries included being female, elevated falls and falls outside the home. Nearly half (45.7%) of those injured sought medical attention, primarily from general practitioners (25.7%) and emergency departments (12.6%). Falls are common, occurring in approximately one quarter of adults in this study, with a greater prevalence among those ≥65 years. Women experienced fewer multiple falls than men. Many participants sought medical attention, primarily from general practitioners. This research identifies fall characteristics and circumstances, informing targeted prevention strategies to reduce occurrences and alleviate burdens on healthcare systems and individuals.

Risk Factors Associated with Unplanned Hospitalization Among Long-Term Care Facility Residents: A Retrospective Study in Central Taiwan.

Most residents of long-term care facilities (LTCFs) are patients with chronic diseases requiring long-term care. Unplanned hospitalization of older and frailer residents from LTCFs reduces their mobility and increases the number of infections, complications, and falls that might lead to severe disability or death. This study aimed to identify the critical risk factors associated with unplanned hospitalization among LTCF residents in Taiwan, providing insights that could inform better care practices in similar settings globally. A retrospective study was conducted using inpatient data from a medical center in central Taiwan, covering the period from 2011 to 2019. A total of 1220 LTCF residents were matched with general patients using propensity score matching. Multiple logistic regression analyses were performed to identify factors associated with unplanned hospitalization, controlling for relevant variables. LTCF residents had a significantly higher risk of unplanned hospitalization compared to general patients (OR = 1.44, 95% CI = 1.21-1.73). Key risk factors included advanced age (≥85 years, OR = 1.25, 95% CI = 1.02-1.54), the presence of comorbidities such as diabetes (OR = 1.17, 95% CI = 1.03-1.33) and renal failure (OR = 1.63, 95% CI = 1.42-1.86), high fall risk (OR = 2.67, 95% CI = 2.30-3.10), and being bedridden (OR = 6.55, 95% CI = 5.48-7.85). The presence of a tracheostomy tube also significantly increased hospitalization risk (OR = 1.73, 95% CI = 1.15-2.59). LTCF residents are at a higher risk of unplanned hospitalization, particularly those with specific comorbidities, physical limitations, and indwelling medical devices. These findings underscore the need for targeted interventions to manage these risks, potentially improving care outcomes for LTCF residents globally.

Mobility Loss in Hospitalized Adults Predicts Poor Clinical Outcomes.

The Johns Hopkins Activity and Mobility Program is a systematic approach to measure and improve patient mobility. The purpose of this study was to evaluate the relationship between mobility loss and quality outcomes. A retrospective cohort study design was used. Patients were categorized into 3 groups (gain, loss, no change in mobility) using the Johns Hopkins Highest Level of Mobility (JH-HLM) scores. The association between mobility loss and falls risk, in-hospital mortality, delirium, discharge to a facility, length of stay, and 30 day readmissions were assessed. Those who lost mobility were more at risk of being a high fall risk, in-hospital mortality, delirium, discharging to a facility, and had 48% longer lengths of stay. There was no association between mobility loss and 30-day readmissions. Loss of mobility assessed using JH-HLM scores is associated with worse patient outcomes.

A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults.

Fall is a common adverse event among older adults. This study aimed to identify essential fall factors and develop a machine learning-based prediction model to predict the fall risk category among community-dwelling older adults, leading to earlier intervention and better outcomes. Three prediction models (logistic regression, random forest, and naive Bayes) were constructed and evaluated. A total of 459 people were involved, including 156 participants (34.0%) with high fall risk. Seven independent predictors (frail status, age, smoking, heart attack, cerebrovascular disease, arthritis, and osteoporosis) were selected to develop the models. Among the three machine learning models, the logistic regression model had the best model fit, with the highest area under the curve (0.856) and accuracy (0.797) and sensitivity (0.735) in the test set. The logistic regression model had excellent discrimination, calibration, and clinical decision-making ability, which could aid in accurately identifying the high-risk groups and taking early intervention with the model.

Comprehensive Geriatric Assessment of Rural Elderly of Odisha – Results from a Community-based Survey

Abstract Background: India is progressing toward an increasing trend in of the geriatric population. By 2050, it is expected to double from 10.8% to 20%. A decrease in functional and locomotor activity among the geriatric population impairs the process of healthy aging. Methodology: The study assessed the fall risk, frailty, and limitation in the activity of daily living among the individuals aged 60 years or more in rural area of Khordha district in Odisha. The cross-sectional study with 188 participants in a rural area assessed the functional ability of the elderly with Fall Risk Assessment Test Scale, Clinical Frailty Scale, and Katz Index. Results: The study reported that 11.7% (confidence interval [CI] = 7%–17%) were medium to high risk of fall, 24% (CI = 18%–30%) were mildly frail, 29% (CI = 22%–36%) were vulnerable, and 10.6% (CI = 6%–15%) had limitation in the activity of daily living. Age, difficulty in vision, decreased sleep duration, and chronic disease were significant determinants of the limitation in the functional ability of the elderly. Conclusion: Elderly population are at higher risk of fall, increased frailty, and limitation in activity of daily living. Comprehensive geriatric assessment, including the physical, psychological, and nutritional assessment, needs to be integrated to meet the health-care needs of the elderly in primary health care.

A threshold model to determine the association between race rides and fall risk for early career (apprentice) jockeys

ObjectivesTo identify descriptors associated with success in apprentice jockeys and to determine optimum numbers of jockeys for safer race riding. DesignRetrospective cohort study. MethodsIncidence-rates for jockey falls and success (wins per 1,000 race-starts), time and number of races spent at different apprentice levels were calculated for 807 apprentice and professional jockeys over 19 years of Thoroughbred flat racing in New Zealand (n = 524,551 race-starts). Survival analysis was used to compare career progression for jockeys that fell and those that did not, and individual seasonal fall incidence-rates were modelled. ResultsApprentices had the highest fall incidence-rate in their first year of race riding (2.4, interquartile range 1.7–3.2 vs 1.1, interquartile range 1.0–1.2, p < 0.05) and a lower success incidence-rate compared to non-apprentice jockeys (71, interquartile range 67–75 vs 97 interquartile range 96–98, p < 0.05). Jockeys who fell during their apprenticeship rode in more race rides to progress towards professional status than those who did not. There was an inverse power relationship between fall incidence-rate and race rides per season for jockeys, with the inflection point at 33 rides per season. Half (48 %) of the jockeys rode fewer than 33 rides per season. ConclusionsThere is a surplus number of jockeys, riding at high fall risk, produced than is required by the number of race riding opportunities. Greater investment into the fitness, education and selection of a smaller cohort of dedicated apprentices, may be beneficial to reduce the risk of early career fall or injury in jockeys and requires further investigation.

Two simple modifications to the World Falls Guidelines algorithm improves its ability to stratify older people into low, intermediate and high fall risk groups.

We conducted a secondary analysis of a cohort study to examine the World Falls Guidelines algorithm's ability to stratify older people into sizable fall risk groups or whether minor modifications were necessary to achieve this. Six hundred and ninety-three community-living people aged 70-90years (52.4% women) were stratified into low, intermediate and high fall risk groups using the original algorithm and a modified algorithm applying broader Timed Up and Go test screening with a >10-s cut point (originally >15s). Prospective fall rates and physical and neuropsychological performance among the three groups were compared. The original algorithm was not able to identify three sizable groups, i.e. only five participants (0.7%) were classified as intermediate risk. The modified algorithm classified 349 participants (50.3%) as low risk, 127 participants (18.3%) as intermediate risk and 217 participants (31.3%) as high risk. The sizable intermediate-risk group had physical and neuropsychological characteristics similar to the high-risk group, but a fall rate similar to the low-risk group. The high-risk group had a significantly higher rate of falls than both the low- [incidence rate ratio (IRR) = 2.52, 95% confidence interval (CI) = 1.99-3.20] and intermediate-risk groups (IRR = 2.19, 95% CI = 1.58-3.03). A modified algorithm stratified older people into three sizable fall risk groups including an intermediate group who may be at risk of transitioning to high fall rates in the medium to long term. These simple modifications may assist in better triaging older people to appropriate and tailored fall prevention interventions.

Antipsychotic Prescribing and Falls Risk in Nursing Home Residents with Dementia

Abstract Background Falls are a common syndrome in older adults leading to adverse outcomes including functional decline, activity restriction, injury and death. They can still occur in residential care. We examined prescribing of medications included in STOPPFall (Screening Tool of Older Persons Prescriptions in older adults with high fall risk) (1) in nursing home residents with dementia. Methods A point prevalence audit was conducted in a dementia-specific nursing home. Data were collected from the electronic healthcare record on demographics, dementia severity, and number of falls in the preceding 12 months. The number and class of regular medications were recorded. Non-cognitive symptoms of dementia were quantified using the Cohen Mansfield Agitation Inventory (CMAI). Results Seventy-four residents were included with mean age 82 years, 59(70%) female. The average Mini Mental State Examination (MMSE) was 5/30 and 80% had severe dementia. The average CMAI score was 50. The mean number of falls was 3 (range 0-14). Regular prescribing of specific STOPPFall medications was as follows: antipsychotics 42/74 (57%), benzodiazepines 8/74 (11%), opioids 13/74 (18%), antidepressants 44/74 (59%), antiepileptics 11.74 (15%), diuretics 12/74 (16%). Prescription of a regular antipsychotic was associated with one or more falls (OR 3.19, p = 0.029). There was no significant difference in falls with the other medications studied. The number of falls increased with higher agitation scores. Conclusion Antipsychotics increased the risk of falls in a nursing home setting. Fallers had higher rates of agitation, perhaps explaining the increased usage of antipsychotics. Medications should be reviewed on a regular basis and deprescribing considered where appropriate. Reference 1. Seppala LJ, Petrovic M, Ryg J, Bahat G, Topinkova E, Szczerbińska K, et al. STOPPFall (Screening Tool of Older Persons Prescriptions in older adults with high fall risk): a Delphi study by the EuGMS Task and Finish Group on Fall-Risk-Increasing Drgs. Age and Ageing. 2020;50(4):1189-99.

Older adults’ experiences of being screened for fall risk in a clinical setting: a focus group study

Abstract Purpose There is a need for further research on older adults’ experiences of fall risk screening to improve health communication strategies. The purpose of this study was to describe and explore older adults’ experiences of being screened for risk of an injurious fall, using the first-time injurious falls (FIF) screening tool. Methods A qualitative study with five focus group interviews was carried out including 17 older adults (11 women and six men, with a mean age of 77.4 years) who were recruited from two primary healthcare rehabilitation clinics in Sweden. Data were analyzed using reflexive thematic analysis. Results The analysis generated one overarching theme, “Screening for fall risk promotes engagement by raising older adults’ awareness of their own abilities”, and four categories; “Screening may motivate to take action but can also create a false sense of security”, “Self-sufficiency is affected by the screening result and level of control over the environment”, “Easy-to-perform and helps to facilitate a discussion with the healthcare professional” and “Ideas of how FIF tool could be used in healthcare”. Conclusion Older adults considered screening for fall risk to be meaningful insofar as it raises awareness of their own abilities and motivates them to prevent falls. On the other hand, a low fall risk could create a false sense of security, and lack of control over environmental factors related to fall risk could negatively impact their sense of self-sufficiency. They emphasized the need to receive support from healthcare providers and to be involved in care decisions if the screening indicates a high fall risk.

Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at a high risk of fall. We aimed to determine the most accurate clinical machine learning (ML) algorithm for predicting fall-related balance factors and identifying RAGT attributes. We applied five ML algorithms- logistic regression, random forest, decision tree, support vector machine (SVM), and extreme gradient boosting (XGboost)- to a dataset of 105 post-stroke patients undergoing RAGT. The variables included the Berg Balance Scale score, walking speed, steps, hip and knee active torques, functional ambulation categories, Fugl- Meyer assessment (FMA), the Korean version of the Modified Barthel Index, and fall history. The random forest algorithm excelled (receiver operating characteristic area under the curve; AUC = 0.91) in predicting balance improvement, outperforming the SVM (AUC = 0.76) and XGboost (AUC = 0.71). Key determinants identified were knee active torque, age, step count, number of RAGT sessions, FMA, and hip torque. The random forest algorithm was the best prediction model for identifying fall-related balance and RAGT determinants, highlighting the importance of key factors for successful RAGT outcome performance in fall-related balance improvement.

Fall Trajectories in Older Men: Trajectories of Change by Age and Predictors for Future Fall Risk.

Very little is known about specific trajectories or patterns of falls over time. Using the well-characterized cohort of the Osteoporotic Fractures in Men Study (MrOS), we classified individuals by fall trajectories across age and identified predictors of group assignment based on characteristics at baseline. Using an analysis sample of 5 976 MrOS participants and 15 years of follow-up data on incident falls, we used group-based trajectory models (PROC TRAJ in SAS) to identify trajectories of change. We assessed the association of baseline characteristics with group assignment using 1-way analysis of variance and chi-square tests. Multivariable logistic regression was used to analyze the outcome of the high-risk fall trajectory groups compared to the low-risk groups. Changes in rates of falls were relatively constant or increasing with 5 distinct groups identified. Mean posterior probabilities for all 5 trajectories were similar and consistently above 0.8 indicating a reasonable model fit. Among the 5 fall trajectory groups, 2 were deemed high risk, those with steeply increasing fall risk and persistently high fall risk. Factors associated with fall risk included body mass index, use of central nervous agents, prior history of diabetes and Parkinson's disease, back pain, grip strength, and physical and mental health scores. Two distinct groups of high fall risk individuals were identified among 5 trajectory groups, those with steeply increasing fall risk and persistently high fall risk. Statistically significant characteristics for group assignment suggest that future fall risk of older men may be predictable at baseline.

Pulmonary rehabilitation with balance training for fall reduction in chronic obstructive pulmonary disease: a randomized controlled trial

Background and objectivesAvailable evidence suggests that adults with chronic obstructive pulmonary disease (COPD) performed substantially worse than healthy controls on many balance measures and balance training can improve the balance measures in this population. We conducted this study to determine the effects of incorporating balance training into pulmonary rehabilitation (PR) on the incidence of falls at 12 months follow-up in high fall risk adults with COPD.MethodsWe conducted a prospective international multi-center randomized controlled trial. Eligible participants were adults with COPD at a high risk of future falls and were randomly assigned (1:1) to the intervention or control group. The intervention included personalized balance training for a targeted total of 90 min per week. Both the intervention and control groups received usual PR (2–3 times per week for 8–12 weeks). The primary outcome was the incidence of falls at 12-month follow-up using monthly fall diary calendars. Negative binomial regression or recurrent events models were used to examine the effects of the intervention on fall events. Multiple imputations were performed to deal with missing values.ResultsOf 258 participants who were enrolled in the trial, 178 provided falls information (intervention group = 91, control group = 87) and were included in the main analysis. Forty-one participants (45%) experienced at least one fall event in the intervention group and 33 (38%) in the control group (p = 0.34). The mean incidence of falls at 12 months was similar between the two groups (128 versus 128 per 100 person-years; mean difference: 0.30, 95% CI: -0.76 to 1.36 per 100 person-years). The results are robust after multiple imputations for missing data (n = 67).ConclusionsPR incorporating balance training compared to PR alone did not reduce the incidence of falls over the 12-month period in high fall risk adults with COPD.Trial registrationThe study was registered with ClinicalTrials.gov (NCT02995681) on 14/12/2016.

Administrative Analysis of the Home-Based Older Persons Upstreaming Prevention Physical Therapy Program: A Pilot Observational Study.

Introduction Traditionally, physical therapist (PT) services do not commence until an injury, fall, or health issue has already occurred although there is increasing evidence that preventative programs administered by PTs may decrease the fall risk among elderly individuals.The purpose of this study was to examine billing, reimbursement, and administrative outcomes of the previously established and investigated prevention-based screening and intervention HOP-UP-PT (Home-based Older Persons Upstreaming Prevention-Physical Therapy) program delivered by a physical therapist in the home of older adults after being referred by a community partner. A randomized controlled trial of the HOP-UP-PT program demonstrated an 8-fold reduction in falls for participants at moderate and high fall risk compared to those who did not participate in the program. Methods Aprospective observational study was performed to examine administrative and payment outcomes of HOP-UP-PT participation. Participants were referred into the HOP-UP-PT program via a local community center. Physician authorization for physical therapy participation was obtained for each participant as required for payment under United States' Center for Medicare and Medicaid Services (CMS)guidelines. The HOP-UP-PT program is preventative physical therapy delivered in the person's home with five in person visits (approximately one per month) followed by a monthly telehealth visit and a final in-person visit.Interventions included a balance program, home safety recommendations, health coaching, and addressing individual risks of falling or becoming homebound. A retrospective analysis was performed on the administrative andinsurance payment data from this study which was then analyzed descriptively. Results Six participants with four different insurances completed the 7-month program (mean age=77 years) in 2021. The physical therapy visits were submitted to the participants' Medicare Part B plan. One participant's physical therapy visits were not submitted for payment as the health system did not have an active agreement with that health insurer. Due to the unclear status of telehealth visits in 2021, these services were not submitted to the insurance company for payment.All other PT visits were paid by the insurance companies. The mean amount paid for the initial evaluation code was $102.83 and the mean payment for the ~15 minute treatment codes was $25.90 per unit. Initial pilot data demonstrated a potential for a4.2% positive operating margin when considering salary costs and travel.The mean delay from the initial referral into the HOP-UP-PT program until the physician provided written authorization for physical therapy was 69.7 days. Conclusion This study demonstrated initial evidence that payment for prevention-focused outpatient physical therapist services delivered in the home was feasible, however delays and costsin procuring physician authorization was a substantial barrier to prevention-focused physical therapy. A 4.2% operating margin demonstrated that, when efficiently operated, similar programs are likely to be viable. Furthermore, if telehealth services would have been paid, the operating margin was estimated to increase to 32%. Physical therapists are highly qualified to deliver efficient, effective preventative services which has the potential to reduce falls and institutionalization and subsequent healthcare cost savings.

The Impact of Misaligned Perceived and Objective Fall Risk in Cognitively Impaired Older People.

Cognitive impairment (CI) may impair the ability to accurately perceive physical capacity and fall risk. We investigated perceived (measured as concern about falls) and physiological fall risk in community-dwelling older people with CI, the characteristics of the aligned and misaligned groups and the impact of misaligned perceptions on falls. Participants (n= 293) with mild-moderate CI were classified into four groups based on validated physiological and perceived fall risk assessments: 1) vigorous: low perceived and physiological fall risk; 2) anxious: high perceived and low physiological fall risk; 3) unaware: low perceived and high physiological fall risk; and 4) aware: high perceived and physiological fall risk. Groups were compared with respect to neuropsychological and physical function, activity and quality of life measures, and prospective falls (12-months). The anxious (IRR = 1.70, 95% CI = 1.02-2.84), unaware (IRR = 2.00, 95% CI = 1.22-3.26), and aware (IRR = 2.53, 95% CI = 1.67-3.84) groups had significantly higher fall rates than the vigorous group but fall rates did not significantly differ among these groups. Compared with the vigorous group: the anxious group had higher depression scores and reduced mobility and quality of life; the unaware group had poorer global cognition, executive function and mobility and lower physical activity levels; and the aware group had an increased prevalence of multiple physical and cognitive fall risk factors. Fall rates were increased in participants who had increased perceived and/or physiological fall risk. Contrasting fall risk patterns were evident in those who under- and over-estimated their fall risk. Understanding these characteristics will help guide fall risk assessment and prevention strategies in community-dwelling older people with CI.

2326 Improving recording and documentation of lying standing blood pressure In patients &amp;gt; 65 admitted with/At high risk of fall(s)

Abstract Introduction The World Falls Guideline 2022 recommends that measurement of lying-standing blood pressure (LSBP) is an integral part of the multifactorial falls assessment (1). Pre-intervention less than half of eligible patients had a LSBP recorded and documented. The aim was to improve the recording and documentation of LSBP for adults aged 65 and over admitted with a fall or at high risk for falls. Method All patients aged 65 and over admitted with fall or identified as at high risk for falls to a care of the elderly ward were included over the period of 15th September 2023-15th November 2023. Royal College of Physicians (RCP) guidance (2017) for standard measurement of LSBP was used2. Data was collected on electronic spreadsheets from electronic observation charts. Two plan do study act (PDSA) cycles were conducted. Firstly, ward posters demonstrated how to record and document LSBP. Secondly ward-based one-to-one teaching interventions using RCP LSBP lanyard flashcards (2) were conducted. Results Following cycle one, 50% of eligible patients had LSBP documented. Following cycle two, 80% of eligible patients had LSBP documented. Following two PDSA cycles, there was a 37.1% increase in the average number of eligible patients who had LSBP correctly recorded and documented. Conclusion(s) Interventions of aide memoirs and education for nursing and medical staff improved the recording and documentation of LSBP. Indications and correct measurement guidance for LSBP should be included in future ward staff induction information and departmental teaching sessions. References 1) Montero-Odasso, M, Van der Velde N, Martin FC et al. The Task Force on Global Guidelines for Falls in Older Adults, World guidelines for falls prevention and management for older adults: a global initiative, Age and Ageing, Volume 51, Issue 9, September 2022. 2) Measurement of lying and standing blood pressure: A brief guide for clinical staff. 2017. https://www.rcplondon.ac.uk/projects/outputs/measurement-lying-and-standing-blood-pressure-brief-guide-clinical-staff.