Practical and validated tool to assess falls risk in the primary care setting: a systematic review

Interventions to Prevent Falls in Older Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

Importance

Falls are the most common cause of injury-related morbidity and mortality in older adults.

Objective

To systematically review evidence on the effectiveness and harms of fall prevention interventions in community-dwelling older adults.

Data Sources

MEDLINE, Cumulative Index for Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Clinical Trials for relevant English-language literature published between January 1, 2016, and May 8, 2023, with ongoing surveillance through March 22, 2024.

Study Selection

Randomized clinical trials of interventions to prevent falls in community-dwelling adults 65 years or older.

Data Extraction and Synthesis

Critical appraisal and data abstraction by 2 independent reviewers. Random-effects meta-analyses with Knapp-Hartung adjustment.

Main Outcomes and Measures

Falls, injurious falls, fall-related fractures, hospitalizations or emergency department visits, people with 1 or more falls, people with injurious falls, people with fall-related fractures, and harms.

Results

Eighty-three fair- to good-quality randomized clinical trials (n = 48 839) examined the effectiveness of 6 fall prevention interventions in older adults. This article focuses on the 2 most studied intervention types: multifactorial (28 studies; n = 27 784) and exercise (37 studies; n = 16 117) interventions. Multifactorial interventions were associated with a statistically significant reduction in falls (incidence rate ratio [IRR], 0.84 [95% CI, 0.74-0.95]) but not a statistically significant reduction in individual risk of 1 or more falls (relative risk [RR], 0.96 [95% CI, 0.91-1.02]), injurious falls (IRR, 0.92 [95% CI, 0.84-1.01]), fall-related fractures (IRR, 1.01 [95% CI, 0.81-1.26]), individual risk of injurious falls (RR, 0.92 [95% CI, 0.83-1.02]), or individual risk of fall-related fractures (RR, 0.86 [95% CI, 0.60-1.24]). Exercise interventions were associated with statistically significant reductions in falls (IRR, 0.85 [95% CI, 0.75-0.96]), individual risk of 1 or more falls (RR, 0.92 [95% CI, 0.87-0.98]), and injurious falls (IRR, 0.84 [95% CI, 0.74-0.95]) but not individual risk of injurious falls (RR, 0.90 [95% CI, 0.79-1.02]). Harms associated with multifactorial and exercise interventions were not well reported and were generally rare, minor musculoskeletal symptoms associated with exercise.

Conclusions and Relevance

Multifactorial and exercise interventions were associated with reduced falls in multiple good-quality trials. Exercise demonstrated the most consistent statistically significant benefit across multiple fall-related outcomes.

Scoping Review of Fall Risk Assessment Tools for Women Who Receive Maternity Care

OBJECTIVE

To identify and describe fall risk assessment tools used for women who receive maternity care.

DATA SOURCES

PubMed, CINAHL Complete, MEDLINE Complete, Cochrane Library, Scopus, SciELO, and Repositórios Científicos de Acesso Aberto de Portugal (RCAAP).

STUDY SELECTION

We considered reports published until November 28, 2022, that included women during pregnancy, childbirth, or the postpartum period; involved the use of fall risk assessment tools, regardless of context; and were published in English, French, Portuguese, or Spanish.

DATA EXTRACTION

We extracted the following data from the included reports: author(s)/year/country, aim/sample, research design/type of report, tool (i.e., the fall risk assessment tool used), findings, reliability, and validity.

DATA SYNTHESIS

We found 13 reports in which the authors addressed nine fall risk assessment tools. Seven of these tools were applied during pregnancy (Kyle's tool, Pregnant Women Information Form and Assessment Scale for Risk of Falling in Pregnant Women, Obstetric Fall Risk Assessment System), labor (Obstetric Fall Risk Assessment System), the postpartum period (Cooksey-Post Obstetric Delivery Fall Risk Assessment, Kyle's tool, Risk of Falling in Post-partum Women (SLOPE), Obstetric Fall Risk Assessment System, Post-epidural Fall Risk Assessment Score, and Maternal Fall Risk Assessment Scale). The Dionne's Egress Test and the Motor Strength Scale do not address the characteristics of the women who receive maternity care. Psychometric characteristics were available for the Pregnant Women Information Form and Assessment Scale for Risk of Falling in Pregnant Women, Post-epidural Fall Risk Assessment Score, Maternal Fall Risk Assessment Scale, and Risk of Falling in Post-partum Women.

CONCLUSION

Some fall risk assessment tools are used to assess women who receive maternity care without proper validation in this specific population. The use of fall risk assessment tools that are validated for women who receive maternity care may help nurses make clinical judgments when assessing fall risk and implement measures for fall prevention.

Reducing falls among residents of retirement homes: A DNP project

ABSTRACT

Falls among older adults (OAs) living in retirement homes (RHs) in Canada are a major public health concern due to high morbidity and mortality as well as significant healthcare expenditures. This quality improvement (QI) initiative, conducted for the author's Doctor of Nursing Practice (DNP) project, aimed to decrease fall rates and ED transfers related to falls among OAs in six RHs across the Greater Toronto Area in Ontario, Canada through a multipart intervention with two primary goals. First, the project aimed to facilitate RH NPs' implementation of a comprehensive fall risk assessment and fall prevention strategy in their practice by incorporating the Stopping Elderly Accidents, Deaths & Injuries (STEADI) toolkit into their armamentarium. Second, it sought to enhance the knowledge of the RHs' registered practical nurses (RPNs), personal support workers (PSWs), and unregulated care providers (UCPs) in assessing fall risk and incorporating fall prevention strategies in their daily practice. By improving NP, RPN, PSW, and UCP knowledge and increasing (by 20%) RPN, PSW, and UCP use of fall prevention strategies, this QI initiative successfully reduced fall rates in the RHs by 40.4%, with no falls requiring transfer to the ED, in the postintervention period. The results of this project highlight the need for an interdisciplinary approach to fall risk reduction in RHs that includes implementation of multifactorial intervention strategies as well as effective organizational policies and procedures for maximum impact.

Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test

The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations.

The enhanced paper grip test can substantially improve community screening for the risk of falling

BACKGROUND

Lower-limb strength measures can enhance falls risk assessment but due to the lack of clinically applicable methods, such measures are not included in current screening. The enhanced paper grip test (EPGT) is a simple-to-use and cost-effective test that could fill this gap. However, its outcome measure (EPGT force) has not yet been directly linked to the risk of falling.

RESEARCH QUESTION

Is the EPGT a good candidate for falls risk screening in older people in the community?

METHODS

Seventy-one older people living independently in the community were recruited for this prospective observational study (median age 69 y, range 65y-79y). Lower-limb and whole-body strength were assessed at baseline using the EPGT and a standardised hand-grip method respectively. Incident falls were recorded monthly for a year through follow-up telephone conversations. The capacity of individual strength measures to predict falls and to enhance an established falls risk assessment tool (FRAT) commonly used by UK's national health service (NHS) was assessed using binomial logistic regression. The analysis was repeated for the subset of participants without history of falling at baseline (prediction of first-ever falls).

RESULTS

Increased EPGT force and increased symmetry in strength between limbs were significantly associated with reduced risk of falling. Compared to the NHS-FRAT, the EPGT correctly classified more people (73% vs 69%), it achieved higher sensitivity (56% vs 26%) and higher negative predictive value (76% vs 68%). Complementing the NHS-FRAT with the EPGT produced a more comprehensive model that correctly classified 91% of participants and achieved 98% specificity, 81% sensitivity, 89% negative and 96% positive predictive value. Replacing the EPGT with hand-grip strength consistently undermined prediction accuracy. The EPGT remained highly accurate when focused on the prediction of first-ever falls.

SIGNIFICANCE

The EPGT can substantially enhance falls screening in the community. These results can also inform effective personalised strength exercise interventions.

Valid Indicators for Predicting Falls in Community-Dwelling Older Adults Under Ongoing Exercise Intervention to Prevent Care Requirement

Physical exercise interventions to prevent falls for older adults at risk of falling are widespread in many countries; however, there is insufficient knowledge of the impact of long-term exercise on the fall discriminating ability of existing fall-prediction indicators. This study measured physical and cognitive indicators of the fall risk, including the timed up and go (TUG), walking speed (WS), and plantar tactile threshold (PTT), in 124 community-dwelling older adults with care needs who were continuing an exercise program. Logistic regression analyses were used to determine factors associated with falls in the 87 participants who could adhere to the exercise continuously for 12 months. The PTT was significantly higher in fallers, while the TUG and WS did not differ significantly between fallers and non-fallers. The only index significantly associated with falls was the PTT (OR = 1.20). The fall identification ability was better for PTT (AUC = 0.63), whereas TUG (AUC = 0.57) and WS (AUC = 0.52) were lower than previously reported scores. In conclusion, long-term exercise was found to improve scores on the fallprediction indicators by physical performance, but to decrease their ability to identify future falls. PTT may complement the ability to identify falls in such elderly populations.

Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

BACKGROUND

Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwelling older adults, incorporating various medication factors.

METHODS

Utilizing annual national patient sample data, we segmented outpatient older adults without FRIs in the preceding three months into development and validation cohorts based on data from 2018 and 2019, respectively. The outcome of interest was serious FRIs, which we defined operationally as incidents necessitating an emergency department visit or hospital admission, identified by the diagnostic codes of injuries that are likely associated with falls. We developed four machine-learning models (light gradient boosting machine, Catboost, eXtreme Gradient Boosting, and Random forest), along with a logistic regression model as a reference.

RESULTS

In both cohorts, FRIs leading to hospitalization/emergency department visits occurred in approximately 2% of patients. After selecting features from initial set of 187, we retained 26, with 15 of them being medication-related. Catboost emerged as the top model, with area under the receiver operating characteristic of 0.700, along with sensitivity and specificity rates around 65%. The high-risk group showed more than threefold greater risk of FRIs than the low-risk group, and model interpretations aligned with clinical intuition.

CONCLUSION

We developed and validated an explainable machine-learning model for predicting serious FRIs in community-dwelling older adults. With prospective validation, this model could facilitate targeted fall prevention strategies in primary care or community-pharmacy settings.

Validation of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Geriatric Outpatients

OBJECTIVES

Before being used in clinical practice, a prediction model should be tested in patients whose data were not used in model development. Previously, we developed the ADFICE_IT models for predicting any fall and recurrent falls, referred as Any_fall and Recur_fall. In this study, we externally validated the models and compared their clinical value to a practical screening strategy where patients are screened for falls history alone.

DESIGN

Retrospective, combined analysis of 2 prospective cohorts.

SETTING AND PARTICIPANTS

Data were included of 1125 patients (aged ≥65 years) who visited the geriatrics department or the emergency department.

METHODS

We evaluated the models' discrimination using the C-statistic. Models were updated using logistic regression if calibration intercept or slope values deviated significantly from their ideal values. Decision curve analysis was applied to compare the models' clinical value (ie, net benefit) against that of falls history for different decision thresholds.

RESULTS

During the 1-year follow-up, 428 participants (42.7%) endured 1 or more falls, and 224 participants (23.1%) endured a recurrent fall (≥2 falls). C-statistic values were 0.66 (95% CI 0.63-0.69) and 0.69 (95% CI 0.65-0.72) for the Any_fall and Recur_fall models, respectively. Any_fall overestimated the fall risk and we therefore updated only its intercept whereas Recur_fall showed good calibration and required no update. Compared with falls history, Any_fall and Recur_fall showed greater net benefit for decision thresholds of 35% to 60% and 15% to 45%, respectively.

CONCLUSIONS AND IMPLICATIONS

The models performed similarly in this data set of geriatric outpatients as in the development sample. This suggests that fall-risk assessment tools that were developed in community-dwelling older adults may perform well in geriatric outpatients. We found that in geriatric outpatients the models have greater clinical value across a wide range of decision thresholds compared with screening for falls history alone.

An exploration of the mechanistic link between the enhanced paper grip test and the risk of falling

The enhanced paper grip test (EPGT) offers an easy-to-use measure of hallux plantar-flexion strength that does not need expensive specialised equipment. Literature suggests that it could be a useful screening tool to assess the risk of falling in older people. However, research on a specific mechanistic link to the risk of falling is lacking. It is hypothesised here that muscle weakening (assessed by the EPGT) is indicative of impaired ability to recover balance after a slip or a trip. To get an initial assessment of validity of the above hypothesis, the EPGT is compared against an established lab-based measure of lower-limb strength that is capable of assessing a person's ability to recover balance after a slip or a trip: maximum isometric leg press push-off force (leg press force). A gender-balanced sample of twenty people (median age=34 y) was recruited. Two different but equaly valid techniques of administering the EPGT were included regarding whether the participants' ankle was supported by the examiner or not. Results for the two EPGT techniques differed susbtantialy but they were both significantly associated with leg press force and therefore linked to better ability to maintain balance after a slip or a trip. The "ankle not held" EPGT technique was more strongly correlated to leg press force (r(18) = 0.652, p = 0.002) than the "ankle held" (r(18) = 0.623, p = 0.003) and appears to be the more favourable technique to administer the EPGT. These findings offer new insight on a potential mechanistic link between the EPGT and the risk of falling and support its optimal use in future research involving older people.

Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management

The Task Force on Global Guidelines for Falls in Older Adults has put forward a fall risk stratification tool for community-dwelling older adults. This tool takes the form of a flowchart and is based on expert opinion and evidence. It divides the population into three risk categories and recommends specific preventive interventions or treatments for each category. In this commentary, we share our insights on the design, validation, usability and potential impact of this fall risk stratification tool with the aim of guiding future research.

Reliability and validity of the Tinetti performance oriented mobility assessment in Chinese community-dwelling older adults

OBJECTIVE

The Tinetti Performance Oriented Mobility Assessment (POMA) has been used for assessing mobility limitations and predicting falling risk among older adults. This study aimed to evaluate the reliability and validity of the POMA in Chinese community-dwelling older adults.

METHODS

We used data from a cross-sectional study in which a sample of 627 older adults completed the POMA. Reliability was tested using internal consistencies and test-retest reliability analyses, while validity was assessed using confirmatory factor analysis and known-group approach. Floor and ceiling effects were also tested.

RESULTS

The POMA and its two subscales had good internal consistency reliability and interrater reliability. Confirmatory factor analysis indicated the POMA had a two-factor structure. The POMA and its subscales exhibited moderate-to-good discriminant validity. A high ceiling effect was detected.

CONCLUSIONS

The POMA had satisfactory reliability and validity among Chinese older adults. Nevertheless, a high ceiling effect may limit its use in community settings.

Exercise for fall prevention in community-dwelling people aged 60+: more effective in trials with higher fall rates in control groups

BACKGROUND AND OBJECTIVES

Exercise is beneficial for fall prevention. Targeting interventions to people who fall more may lead to greater population impacts. As trials have used varying methods to assess participant risk level, prospectively-measured control group fall rates may provide a more accurate and poolable way to understand intervention effects in different subpopulations. We aimed to explore differences in effectiveness of fall prevention exercise according to prospectively-measured fall rate.

METHODS

Secondary analysis of a Cochrane review investigating exercise for fall prevention in peopled aged ≥60 years. Meta-analysis assessed the impact of exercise on fall rate. Studies were dichotomized according to the median control group fall rate (0.87, IQR 0.54-1.37 falls/person-year). Meta-regression explored the effects on falls in trials with higher and lower control group fall rates.

RESULTS

Exercise reduced the rate of falls in trials with higher (rate ratio 0.68, 95% CI 0.61-0.76, 31 studies) and lower control group fall rates (rate ratio 0.88, 95% CI 0.79-0.97, 31 studies, P = 0.006 for difference in effects).

CONCLUSION

Exercise prevents falls, moreso in trials with higher control group fall rates. As past falls strongly predict future falls, targeting interventions to those with more past falls may be more efficient than other falls risk screening methods.

The use of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA)

BACKGROUND

the aim of this study was to retrospectively operationalise the World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy the algorithm was to operationalise in TILDA and determined its utility in predicting falls in this population.

METHODS

participants aged ≥50 years were stratified as 'low risk', 'intermediate' or 'high risk' as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).

RESULTS

5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.

CONCLUSION

the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.

Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor

Falls are one of the main concerns in the elderly population due to their high prevalence and associated consequences. Guidelines for the management of the elder with falls are comprised of multidimensional assessments, especially gait and balance. Daily clinical practice needs for timely, effortless, and precise tools to assess gait. This work presents the clinical validation of the G-STRIDE system, a 6-axis inertial measurement unit (IMU) with onboard processing algorithms, that allows the calculation of walking-related metrics correlated with clinical markers of fall risk. A cross-sectional case-control study was conducted with 163 participants (falls and non-falls groups). All volunteers were assessed with clinical scales and conducted a 15-min walking test at a self-selected pace while wearing the G-STRIDE. G-STRIDE is a low-cost solution to facilitate the transfer to society and clinical evaluations. It is open hardware and flexible and, thus, has the advantage of providing runtime data processing. Walking descriptors were derived from the device, and a correlation analysis was conducted between walking and clinical variables. G-STRIDE allowed measuring walking parameters in non-restricted walking conditions (e.g. hallway). Walking parameters statistically discriminate between falls and non-falls groups. We found good/excellent estimation accuracy (ICC = 0.885; [Formula: see text]) for walking speed, showing good/excellent correlation between gait speed and several clinical variables. G-STRIDE can calculate walking-related metrics that allow for discrimination between falls and non-falls groups, which correlates with clinical indicators of fall risk. A preliminary fall-risk assessment based on the walking parameters was found to improve the Timed Up and Go test in the identification of fallers.

Comparison of three fall risk assessment tools in older hospitalized patients in Turkey: analysis of sensitivity and specificity

BACKGROUND

As a result of falls, older patients experience injury and loss of function, and their length of hospital stay and care costs increase.

AIM

This study was conducted to determine fall risks and compare the sensitivity and specificity of three fall risk assessment tools.

METHODS

Older patients' fall risk levels were determined according to the Itaki, Hendrich-II, and Morse tools within 2 h following their admission to the wards. A methodological design was used in the study, which included 388 hospitalized elderly patients. The mean age of the patients was 72.29 ± 5.6 years, and 57.7% were female.

RESULTS

According to the ROC curve values of Sensitivity and 1-Specificity, the cut-off points for the Hendrich-II, Itaki, and Morse fall tools were accepted as 27.5, 8.5, and 6.5, respectively. According to the analysis results, the ratios of the areas under the ROC curve for the Itaki, Morse, and Hendrich-II fall tools were 0.794, 0.773, and 0.724, respectively, which were found to be statistically significant for all three tools (p ≤ 0.001).

CONCLUSIONS

The Itaki Fall Risk Tool was found to be the most sensitive one among the three instruments in assessing the fall risk of older hospitalized patients. The Itaki Fall Risk Tool was followed by the Morse and Hendrich-II tools, respectively, in terms of sensitivity.

Patients' experience with a community pharmacy fall prevention service

Background

Pharmacists can contribute to fall prevention, by offering services such as fall risk screenings, counselling, and medication reviews. Patient acceptance of the role of pharmacists in fall prevention is crucial.

Objectives

The aim of this study was to explore patients' experience with a community pharmacy fall prevention service.

Methods

Interviews were conducted with patients one month after they participated in a pharmacy fall prevention service, in the Netherlands. Patient inclusion criteria for the service were: age ≥ 70 years, use of ≥5 drugs including ≥1 fall risk-increasing drug. The service included a fall risk screening followed by counselling and a medication review. The semi-structured interview guide was based on the consolidated framework for implementation research and included the following topics: outcomes, patient's motivation, and contact with the pharmacy technician.

Results

Of the 91 participants of the fall prevention service, 87 patients were interviewed with a median age of 78.0 years (first quartile [Q1] - third quartile [Q3]: 74.0-84.75) and 46.3% were female. Many patients expressed positive feedback about receiving a medication review. Most patients whose medication was deprescribed expressed to be positive about this. Others were reassured about the appropriateness of their medication use. Patients reported that the service enhanced their awareness about fall prevention. Only a few patients were motivated to adapt their lifestyle. Patients appreciated the attention and contact.

Conclusions

Patients see a potential benefit for a community pharmacy falls prevention service, including a medication review. Patient education appeared to enhance their fall risk awareness.

Geriatric Services Hub - A Collaborative Frailty Management Model between The Hospital and Community Providers

BACKGROUND

Frailty is an important geriatric syndrome especially with ageing populations. Frailty can be managed or even reversed with community-based interventions delivered by a multi-disciplinary team. Innovation is required to find community frailty models that can deliver cost-effective and feasible care to each local context.

OBJECTIVES

We share pilot data from our Geriatric Service Hub (GSH) which is a novel frailty care model in Singapore that identifies and manages frailty in the community, supported by a hospital-based multi-disciplinary team.

METHODS

We describe in detail our GSH model and its implementation. We performed a retrospective data analysis on patient characteristics, uptake, prevalence of frailty and sarcopenia and referral rates for multi-component interventions.

RESULTS

A total of 152 persons attended between January 2020 to May 2021. Majority (59.9%) were female and mean age was 81.0 ± 7.1 years old. One-fifth (21.1%) of persons live alone. Mean Charlson Co-morbidity Index was 5.2 ± 1.8. Based on the clinical frailty risk scale (CFS), 31.6% were vulnerable, 51.3% were mildly frail and 12.5% were moderately frail. Based on SARC-F screening, 45.3% were identified to be sarcopenic whilst 56.9% had a high concern about falling using the Falls-Efficacy Scale-International. BMD scans were done for 41.4% of participants, of which 58.7% were started on osteoporosis treatment. In terms of referrals to allied health professionals, 87.5% were referred for physiotherapy, 71.1% for occupational therapy and 50.7% to dieticians.

CONCLUSION

The GSH programme demonstrates a new local model of partnering with community service providers to bring comprehensive population level frailty screening and interventions to pre-frail and frail older adults. Our study found high rates of frailty, sarcopenia and fear of falling in community-dwelling older adults who were not presently known to geriatric care services.

Association of motor index scores with fall incidence among community-dwelling older people

BACKGROUND

Several kinds of motor dysfunction have been studied for predicting future fall risk in community-dwelling older individuals. However, no study has tested the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of falling, as well as the specific fall type.

OBJECTIVE

We investigated the associations of FINEA/GROSSA scores with fall risk, explained falls, and unexplained falls.

METHODS

A total of 6267 community-dwelling adults aged ≥ 50 years from the Irish Longitudinal Study on Aging (TILDA) cohort were included. First, the associations of FINEA and GROSSA scores with the history of total falls, explained falls and unexplained falls were assessed in a cross-sectional study and further verified in a prospective cohort after 2 years of follow-up by Poisson regression analysis.

RESULTS

We found that high FINEA and GROSSA scores were positively associated with almost all fall histories (FINEA scores: total falls: adjusted prevalence ratio [aPR] = 1.28, P = 0.009; explained falls: aPR = 1.15, P = 0.231; unexplained falls: aPR = 1.88, P < 0.001; GROSSA scores: total falls: aPR = 1.39, P < 0.001; explained falls: aPR = 1.28, P = 0.012; unexplained falls: aPR = 2.18, P < 0.001) in a cross-sectional study. After 2 years of follow-up, high FINEA scores were associated with an increased incidence of total falls (adjusted rate ratio [aRR] = 1.42, P = 0.016) and explained falls (aRR = 1.51, P = 0.020) but not with unexplained falls (aRR = 1.41, P = 0.209). High GROSSA scores were associated with an increased incidence of unexplained falls (aRR = 1.57, P = 0.041) and were not associated with either total falls (aRR = 1.21, P = 0.129) or explained falls (aRR = 1.07, P = 0.656). Compared with individuals without limitations in either the FINEA or GROSSA, individuals with limitations in both indices had a higher risk of falls, including total falls (aRR = 1.35, P = 0.002), explained falls (aRR = 1.31, P = 0.033) and unexplained falls (aRR = 1.62, P = 0.004).

CONCLUSION

FINEA scores were positively associated with accidental falls, while GROSSA scores were positively associated with unexplained falls. The group for whom both measures were impaired showed a significantly higher risk of both explained and unexplained falls. FINEA or GROSSA scores should be investigated further as possible tools to screen for and identify community-dwelling adults at high risk of falling.

Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise

Gait quality characteristics obtained from daily-life accelerometry are clinically relevant for fall risk in older adults but it is unknown whether these characteristics are responsive to changes in gait quality. We aimed to test whether accelerometry-based daily-life gait quality characteristics are reliable and responsive to changes over one year in older adults who experienced a fall or an exercise intervention. One-week trunk acceleration data were collected from 522 participants (65-97 years), at baseline and after one year. We calculated median values of walking speed, regularity (sample entropy), stability (logarithmic rate of divergence per stride), and a gait quality composite score, across all 10-s gait epochs derived from one-week gait episodes. Intraclass correlation coefficients (ICC) and limits of agreement (LOA) were determined for 198 participants who did not fall nor participated in an exercise intervention during follow-up. For responsiveness to change, we determined the number of participants who fell (n = 209) or participated in an exercise intervention (n = 115) that showed a change beyond the LOA. ICCs for agreement between baseline and follow-up exceeded 0.70 for all gait quality characteristics except for vertical gait stability (ICC = 0.69, 95% CI [0.62, 0.75]) and walking speed (ICC = 0.68, 95% CI [0.62, 0.74]). Only walking speed, vertical and mediolateral gait stability changed significantly in the exercisers over one year but effect sizes were below 0.2. The characteristic associated with most fallers beyond the LOA was mediolateral sample entropy (4.8% of fallers). For the exercisers, this was gait stability in three directions and the gait quality composite score (2.6% of exercisers). The gait quality characteristics obtained by median values over one week of trunk accelerometry were not responsive to presumed changes in gait quality after a fall or an exercise intervention in older people. This is likely due to large (within subjects) differences in gait behaviour that participants show in daily life.

World guidelines for falls prevention and management for older adults: a global initiative

BACKGROUND

falls and fall-related injuries are common in older adults, have negative effects on functional independence and quality of life and are associated with increased morbidity, mortality and health related costs. Current guidelines are inconsistent, with no up-to-date, globally applicable ones present.

OBJECTIVES

to create a set of evidence- and expert consensus-based falls prevention and management recommendations applicable to older adults for use by healthcare and other professionals that consider: (i) a person-centred approach that includes the perspectives of older adults with lived experience, caregivers and other stakeholders; (ii) gaps in previous guidelines; (iii) recent developments in e-health and (iv) implementation across locations with limited access to resources such as low- and middle-income countries.

METHODS

a steering committee and a worldwide multidisciplinary group of experts and stakeholders, including older adults, were assembled. Geriatrics and gerontological societies were represented. Using a modified Delphi process, recommendations from 11 topic-specific working groups (WGs), 10 ad-hoc WGs and a WG dealing with the perspectives of older adults were reviewed and refined. The final recommendations were determined by voting.

RECOMMENDATIONS

all older adults should be advised on falls prevention and physical activity. Opportunistic case finding for falls risk is recommended for community-dwelling older adults. Those considered at high risk should be offered a comprehensive multifactorial falls risk assessment with a view to co-design and implement personalised multidomain interventions. Other recommendations cover details of assessment and intervention components and combinations, and recommendations for specific settings and populations.

CONCLUSIONS

the core set of recommendations provided will require flexible implementation strategies that consider both local context and resources.

Establishing a community pharmacy-based fall prevention service - An implementation study

BACKGROUND

Community pharmacists are in the position to contribute to fall prevention, but this is not yet common practice.

OBJECTIVE

The aim of this study was to evaluate the implementation of a community pharmacy-based fall prevention service.

METHODS

A fall prevention service, consisting of a fall risk screening and assessment including a medication review, was implemented in pharmacies during three months. A preparative online training was provided to the pharmacy team to enhance adoption of the service. Included patients were aged ≥70 years, using ≥5 drugs of which ≥1 fall risk-increasing drug. The implementation process was quantitively assessed by registering medication adaptations, recommendations, and referrals. Changes in patient scores on the Short Fall Efficacy Scale-International (FES-I) and a fall prevention knowledge test were documented at one month follow-up. Implementation was qualitatively evaluated by conducting semi-structured interviews with pharmacists before and after the project, based on the consolidated framework of implementation research.

RESULTS

The service was implemented in nine pharmacies and 91 consultations were performed. Medication was adapted of 32 patients. Patients' short FES-I scores were significantly higher at follow-up (p = 0.047) and patients' knowledge test scores did not differ (p = 0.86). Pharmacists experienced the following barriers: lack of time, absence of staff, and limited multidisciplinary collaboration. Facilitators were training, motivated staff, patient engagement, and project scheduling.

CONCLUSION

The service resulted in a substantial number of medication adaptations and lifestyle recommendations, but many barriers were identified that hamper the sustained implementation of the service.

Validation and comparison of fall screening tools for predicting future falls among older adults

BACKGROUND

Falls are the leading cause of injuries among older adults in the United States (US). Falls are preventable and clinicians are advised to screen for fall risk yearly. There are many falls screening tools and not all have been validated for their ability to predict future falls.

METHODS

We enrolled 1905 community-dwelling older adults into a 13-month study using a probability-based representative panel of the US population recruited from NORC at the University of Chicago's National Frame. Respondents completed a baseline survey, 11 monthly fall calendars, and a final survey. The baseline survey included six falls screening tools (the Stay Independent, Three Key Questions (3KQ), a modified American Geriatric/British Geriatric tool, the short Falls Efficacy-1[FES-I]) and two single screening questions ("I have fallen in the past year" and "How many times did you fall in the past 12 months?"). The baseline and final survey collected demographic and health information, including falls. Sensitivity, specificity, positive and negative likelihood ratios, and corresponding 95% confidence intervals were calculated in SAS using weighted proportions.

RESULTS

There were 1563 respondents who completed the final survey (completion rate 82%). Sensitivity estimates ranged from 22.5% for the short FES-I to 68.7% for the 3KQ. Specificity estimates ranged from 57.9% for the 3KQ to 89.4% for the short FES-I.

CONCLUSIONS

Falls screening tools have varying sensitivity and specificity for predicting the occurrence of a fall in the following 12 months.