Risk Factors Associated with Falls in Older Adults with Dementia: A Systematic Review

Best practice in dementia health care: Key clinical practice pointers from a national conference and innovative opportunities for pharmacy practice

OBJECTIVE

Sub-optimal care of people living with dementia has serious consequences for older populations. The 2021 Australian Royal Commission noted that a large proportion of older adults in aged care live with dementia, yet there are limitations in the knowledge and understanding of staff who care for them. In the pursuit of educating pharmacists, physicians, allied health care professionals, researchers, academics, people living with dementia and their carers, and the public, who are facing the challenges of dementia management, the 'Best Practice in Dementia Health Care' conference was held on November 10, 2022 at Western Health (Sunshine Hospital, Melbourne, Australia).

METHODS

Sixteen experts presented on the current practice and challenges associated with delivering best practice dementia health care to older Australians, often highlighting how medication-related challenges impacted on their area of practice.

RESULTS

Presenters highlighted the importance of individualised medication management plans, considerations of culture and Indigenous communities, the role of technology, and the impact of exercise and the physical environment on care of people living with dementia. Key clinical practice messages from each expert presenter fit into four main topics: 'navigating complexities of medication management'; 'enhancing wellbeing'; 'supportive settings and environments'; and 'programs and services improving care'.

CONCLUSIONS

Pharmacists are crucial members of allied health care teams. They have the necessary medication and comorbidity expertise to review medication regimens, liaise with all health care providers, and provide holistic, pharmacological and non-pharmacological patient education. Towards providing best practice dementia health care, pharmacists can contribute in several ways, such as providing health practitioner education to increase understanding about medications and how they can impact on allied health practice, to ensure that medications are prescribed appropriately and safely. Further, pharmacists can make available resources to ensure people living with dementia receive culturally safe and appropriate care, while advocating for greater understanding of the history and experiences of people living with dementia to ensure care aligns with their day-to-day routines. Finally, pharmacists can provide peer-support to other health care professionals and care staff to ensure optimal management of behavioural and psychological symptoms of dementia. The information and insights shared at the conference can serve as a valuable resource for pharmacists and other health care professionals and researchers working to improve the lives of those living with dementia.

The Ability of Physical Performance Measures to Identify Fall Risk in Older Adults Living With Dementia: A Systematic Review and Meta-Analysis

OBJECTIVES

To determine whether physical performance measures commonly used in clinical settings can discriminate fallers from nonfallers and predict falls in older adults with dementia.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Older adults with dementia residing in the community, hospitals, and residential care facilities.

METHODS

MEDLINE, Embase, PsycINFO, CINAHL, SPORTDiscus, the Cochrane Library, and the PEDro databases were searched from inception until December 27, 2023 (PROSPERO registration number: CRD42022303670). Retrospective or prospective studies that evaluated the associations between physical performance measures and falls in older adults with dementia were included. A random effects model was used to calculate the standardized mean difference (SMD) and 95% CI for each physical performance measure between fallers and nonfallers. Sensitivity analyses were conducted on the longitudinal studies to determine the ability of physical performance measures to predict future falls.

RESULTS

Twenty-eight studies were included in this review (n = 3542). The 5-time chair stand test [SMD = 0.23 (0.01, 0.45)], the Berg Balance Scale [SMD = -0.52 (-0.87, -0.17)], postural sway when standing on the floor [SMD = 0.25 (0.07, 0.43)] and on a foam surface [SMD = 0.45 (0.25, 0.66)], and the Short Physical Performance Battery total score [SMD = -0.46 (-0.66, -0.27)] could discriminate fallers from nonfallers. Sensitivity analyses showed that gait speed could predict future falls in longitudinal cohort studies [SMD = -0.29 (-0.49, -0.08)]. Subgroup analyses showed that gait speed [SMD = -0.21 (-0.38, -0.05)] and the Timed Up and Go test [SMD = 0.54 (0.16, 0.92)] could identify fallers staying in residential care facilities or hospitals.

CONCLUSIONS AND IMPLICATIONS

The 5-time chair stand test, the Berg Balance Scale, postural sway when standing on the floor and a foam surface, and the Short Physical Performance Battery can be used to predict falls in older adults with dementia. Gait speed and the Timed Up and Go test can be used to predict falls in institutionalized older adults with dementia. Clinicians are recommended to use these physical performance measures to assess fall risk in older adults with dementia.

How do care partners overcome the challenges associated with falls of community-dwelling older people with dementia? A qualitative study

BACKGROUND AND OBJECTIVES

Previous studies have found that falls among community-dwelling older people with dementia negatively impact the health and well-being of their relative/friend care partners. Limited studies have explored the challenges care partners experience because of older people's falls (including fall incidents and fall risks). We sought to investigate care partners' experiences of these challenges and how care partners responded.

METHODS

We conducted an inductive thematic analysis of 48 dementia care partner interviews (age range: 33-86, mean: 61, 70.8% women; 58.3% adult children; 29.2% spouse; 62.5% completed college; 25% people of color), conducted after a health crisis of older people with dementia from three local university-affiliated hospitals in the United States.

FINDINGS

Care partners reported that falls in older people with dementia can intensify overall care demands and lead to self-sacrificing behaviors, dissatisfaction with healthcare providers, conflicts with care recipients, and intense emotions. Care partners described several adaptations to mitigate these impacts, including practicing acceptance, approaching falls as an opportunity for learning, facilitating collaborations within formal/informal care networks, collaborating with older people with dementia to balance autonomy and safety, and modifying the physical environment.

DISCUSSIONS AND IMPLICATIONS

Falls among older people with dementia are a significant stressor and an important activation stimulus for their care partners. Our findings suggest that care partners are "second clients" and "competent collaborators." As they provide important insights about fall prevention, care partners should be engaged to co-design new multi-level interventions to facilitate collaborations among care networks, older people with dementia, and service providers.

The effectiveness of a fall detection device in older nursing home residents: a pilot study

BACKGROUND

Real-world research to evaluate the effect of device technology in preventing fall-related morbidity is limited. This pilot study aims to investigate the effectiveness of a non-wearable fall detection device in older nursing home residents.

METHODS

The study was conducted in a nursing home with single-resident rooms. Fall detection devices were randomly set up in half of the rooms. Demographic data, comorbidities, lists of medications, and functional, nutritional, and frailty status were recorded. The residents were followed up for 3 months. The primary outcome was falls and the secondary outcome was all-cause mortality.

RESULTS

A total of 26 participants were enrolled in the study. The study group consisted of 13 residents who had a fall detection device in their rooms. The remaining 13 residents on the same floor formed the control group. Participants had a mean age of 82 ± 10 years and 89% of the residents were female. The most prevalent comorbidity was dementia. Two residents from the control group and one resident from the study group experienced a fall event during follow-up. The fall events in the control group were identified retrospectively by the nursing home staff, whereas the fall in the study group received a prompt response from the staff who were notified by the alarm. One resident was transferred to the hospital and died due to a non-fall related reason.

CONCLUSION

Device technology may provide an opportunity for timely intervention to prevent fall-related morbidity in institutionalized older adults.

Dual Sensory Impairment Predicts an Increased Risk of Postdischarge Falls in Older Patients

OBJECTIVES

The purpose of this study was to determine the associations of vision impairment, hearing impairment, and comorbid vision and hearing impairment [ie, dual sensory impairment (DSI)] on admission to hospital with falls within 3 months of discharge in older patients.

DESIGN

This prospective multicenter study included patients admitted to and discharged from geriatric wards at 3 university hospitals and 1 national medical center in Japan between October 2019 and July 2023.

SETTING AND PARTICIPANTS

Of 1848 individuals enrolled during the study period, 1141 were excluded, leaving 707 for inclusion in the analysis.

METHODS

Participants' background factors were compared in terms of whether they had a fall during the 3 months postdischarge. Logistic regression analysis was then performed using the presence or absence of falls after discharge as the objective variable. Three models were created using vision impairment, hearing impairment, and DSI as covariates. Other covariates included physical function, cognitive function, and depression. In addition, logistic regression analysis was performed with falls during hospitalization as the objective variable.

RESULTS

DSI was significantly more common in the falls group (P = .004). Logistic regression analysis showed that the risk of falls after discharge was higher in patients with DSI (odds ratio 3.432, P = .006) than in those with vision or hearing impairment alone. When adjusted for physical function, cognitive function, depression, and discharge location, DSI was significantly associated with an increased risk of falls after discharge (odds ratio 3.107, P = .021). The association between DSI and falls during hospitalization did not reach statistical significance, but a trend was observed.

CONCLUSIONS AND IMPLICATIONS

This study is the first to show an association between DSI and falls after discharge. Simple interventions for patients with DSI may be effective in preventing falls, and we suggest that they be actively implemented early during hospitalization.

Technology-based group exercise interventions for people living with dementia or mild cognitive impairment: A scoping review

Older people living with dementia or mild cognitive impairment (MCI) are more vulnerable to experiencing social isolation and loneliness due to their cognitive and physical impairments. Increasingly integrating technology into group exercises contributed to the improved resilience and well-being of older adults living with dementia and MCI. The purpose of this scoping review was to identify the various types, feasibility, outcome measures, and impacts of technology-based group exercise interventions for people with dementia or MCI. We utilized the Joanna Briggs Institute approach, a three-step process. A comprehensive literature search on five databases-CINAHL, MEDLINE, Embase, Web of Science, and PsycInfo-until January 2024 yielded 1,585 publications; the final review included 14 publications that recruited a total of 379 participants, with mean age of 69 (SD = 4.21) years to 87.07 (SD = 3.92) years. Analysis of data showed three types of technology-based group exercise interventions for people with dementia or MCI: (a) exergames, (b) virtual cycling or kayak paddling, and (c) video-conferencing platforms. In addition, we identified three key impacts: (a) feasibility and accessibility; (b) physical, psychosocial, and cognitive benefits; and (c) adaptations necessary for persons with dementia or MCI. Our study suggests that technology-based group exercise interventions are feasible and acceptable to persons with dementia or MCI. Future studies should involve individuals with dementia and their caregivers in the design and implementation of technology-based group exercise programs.

A Meta-Analysis of Fall Risk in Older Adults With Alzheimer's Disease

OBJECTIVES

Falls are the leading cause of injuries in older adults. Although it is well recognized that Alzheimer's disease (AD) increases the fall risk of older adults, the reported fall risk in people with AD varies drastically. The principal purpose of this study was to summarize and synthesize previous studies reporting fall risk-related metrics in people with AD.

DESIGN

This was a meta-analysis.

SETTING AND PARTICIPANTS

Thirty-one studies reporting relevant fall data among 4654 older adults with AD were included.

METHODS

The fall prevalence, average number of falls, rate of recurrent fallers, and rate of injured fallers of included studies were meta-analyzed using random-effects models with inverse variance weights.

RESULTS

The pooled annual fall prevalence in older people with AD is 44.27% with an average annual number of falls of 1.30/person and a yearly rate of recurrent fallers of 42.08%. The reported rate of injured fallers was 45.0%.

CONCLUSIONS AND IMPLICATIONS

Our results reinforce that people with AD experience a higher fall risk than their cognitively healthy counterparts. The pooled fall metrics in this meta-analysis extend our understanding of the fall risk in people with AD. In addition, standardized approaches are needed to report fall-related data for people with AD.

Gait Parameters Change can be an Early Marker of Cognitive Impairment

BACKGROUND AND OBJECTIVE

Gait impairment leads to increased dependence, morbidity, institutionalization, and mortality in older people. We intended to assess gait parameters with the continuum of cognitive impairment and observe variation with the severity of cognitive impairment.

MATERIALS AND METHODS

This cross-sectional, observational study was conducted at the memory clinic of a tertiary care center. One hundred and twelve subjects were recruited, and cognition was assessed by the Clinical Dementia Rating scale. Usual gait was assessed by a 6-m walk test, and the dynamic gait was assessed using Biodex Gait Trainer™. Apart from crude analysis, adjusted linear regression was used to find the association of spatiotemporal gait parameters with cognitive decline.

RESULTS

Subjects were divided into subjective cognitive decline (SCD; n = 38), mild cognitive impairment (MCI; n = 40), and major neurocognitive disorder (MNCD; n = 34) groups. History of falls (23.7% vs. 30.0% vs. 67.7%, P < 0.001) and impaired activities of daily living (ADLs) (5.3% vs. 15.0% vs. 100%, P < 0.001) were significantly higher with cognitive decline. Age- and gender-adjusted regression analysis revealed that usual gait speed (0.8 vs. 0.6 vs. 0.5, P < 0.001) (m/s), total time (3.9 vs. 2.9 vs. 2.6, P = 0.022) (min), total distance (65.6 vs. 55.8 vs. 46.6, P = 0.025) (m), step cycle time (0.6 vs. 0.8 vs. 0.8, P = 0.020) (cycles/s), and step lengths were significant.

CONCLUSION

Gait speed and other parameters worsened with increasing cognitive impairment. Changes in gait parameters might be a useful marker of declining cognition, though a long-term follow-up study is required to establish this association. Early intervention could be beneficial in preserving autonomy in patients with cognitive impairment.

An Assessment of Physical Activity and Risk Factors in People Living with Dementia: Findings from a Cross-Sectional Study in a Long-Term Care Facility in Vietnam

BACKGROUND

People living with dementia (PLWD) may experience substantial cognitive decline as the disease progresses, which interferes with their daily activities. This study aimed to assess physical activity (PA) performance and care dependency (CD) and identify factors related to PA among PLWD.

METHODS

We conducted a cross-sectional study in 63 PLWD from National Geriatrics Hospital, Vietnam, from 2021 to 2023. We used the Mini Nutritional Assessment (MNA), International Physical Activity Questionnaire (IPAQ), and Care Dependency Scale (CDS) to assess the nutritional status and the levels of PA and CD, respectively. We used the Mann-Whitney test to compare the differences in the PA types and CD levels between dementia levels and a multivariable logistics regression model to analyze factors related to PA.

RESULTS

More than half of the subjects had mild dementia. In total, 35% of the PLWD had a low level of PA, and 46.3% were completely independent of care. The mean score in each CDS aspect of the subjects with moderate/severe dementia was statistically significantly lower than that of those with mild dementia (p ≤ 0.05). Lower dependency (OR = 0.9; 95% CI = 0.88-0.99) and malnutrition (OR = 15.4; 95% CI = 1.18-20.21) were associated with insufficient PA in the PLWD.

CONCLUSION

Formal caregivers and healthcare workers should encourage PLWD to perform physical activities at any level and personalize the development of tailored and nutritional care strategies for each individual.

The relationship between participation in leisure activities and incidence of falls in residential aged care

BACKGROUND

Active engagement in leisure activities has positive effects on individuals' health outcomes and social functioning; however, there is limited understanding of the link between participation in leisure activities, particularly non-exercise activities, and falls in older adults. This study aimed to determine the relationship between participation in leisure activities and the incidence of falls, and the variation of this relationship by dementia status in residential aged care facilities (RACFs).

METHODS

A retrospective longitudinal cohort study utilising routinely collected data (January 2021-August 2022) from 25 RACFs in Sydney, Australia, was conducted. The cohort included 3,024 older permanent residents (1,493 with dementia and 1,531 without) aged ≥65 and with a stay of ≥1 week. The level of participation in leisure activities was measured using the number of leisure activities per 1,000 resident days and divided into quartiles. Outcome measures were the incidence rate of all falls and injurious falls (i.e., number of falls per 1,000 resident days). We used multilevel negative binary regression to examine the relationship between leisure participation and fall incidence.

RESULTS

For the whole sample, leisure participation was significantly inversely associated with the incidence rate of all falls and injurious falls. For example, residents in the high leisure participation group were 26% less likely to experience a fall compared to those in the low leisure participation group after controlling for confounders (incidence rate ratio = 0.74, 95% confidence interval = 0.60, 0.91). Such inverse relationship was observed in both exercise and non-exercise activities and was stronger among residents without dementia.

CONCLUSIONS

Leisure participation is associated with a lower rate of falls, a key quality indicator by which RACFs are benchmarked and funded in Australia and many other countries. More recognition and attention are needed for the currently underfunded leisure activities in RACFs in future funding arrangement.

Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach

OBJECTIVES

Falls pose a significant challenge in residential aged care facilities (RACFs). Existing falls prediction tools perform poorly and fail to capture evolving risk factors. We aimed to develop and internally validate dynamic fall risk prediction models and create point-based scoring systems for residents with and without dementia.

MATERIALS AND METHODS

A longitudinal cohort study using electronic data from 27 RACFs in Sydney, Australia. The study included 5492 permanent residents, with a 70%-30% split for training and validation. The outcome measure was the incidence of falls. We tracked residents for 60 months, using monthly landmarks with 1-month prediction windows. We employed landmarking dynamic prediction for model development, a time-dependent area under receiver operating characteristics curve (AUROCC) for model evaluations, and a regression coefficient approach to create point-based scoring systems.

RESULTS

The model identified 15 independent predictors of falls in dementia and 12 in nondementia cohorts. Falls history was the key predictor of subsequent falls in both dementia (HR 4.75, 95% CI, 4.45-5.06) and nondementia cohorts (HR 4.20, 95% CI, 3.87-4.57). The AUROCC across landmarks ranged from 0.67 to 0.87 for dementia and from 0.66 to 0.86 for nondementia cohorts but generally remained between 0.75 and 0.85 in both cohorts. The total point risk score ranged from -2 to 57 for dementia and 0 to 52 for nondementia cohorts.

DISCUSSION

Our novel risk prediction models and scoring systems provide timely person-centered information for continuous monitoring of fall risk in RACFs.

CONCLUSION

Embedding these tools within electronic health records could facilitate the implementation of targeted proactive interventions to prevent falls.

Evaluation of the accuracy of a UWB tracker for in-home positioning for older adults

The population of older adults is rapidly growing. In-home monitoring systems have been used to support aging-in-place. Ambient sensors or wearable localizers can be used but may be too low resolution, while camera systems are invasive to privacy. Ultra-wideband (UWB) localization offers precise positioning by placing anchors throughout the house and wearing a tag that is tracked by the anchors. In this study, the accuracy of UWB for indoor tracking was evaluated in a motion capture gait lab and in a mock condo in the Glenrose Rehabilitation Hospital. First, the configuration of UWB was tested, changing factors related to sampling time, anchor placement and line-of-sight. Comparing these factors to the configurations recommended by the manufacturer guidelines, accuracies remained within 14 cm. We then performed static and dynamic accuracy tests, with dynamic testing comprised of rolling and walking motions. In the motion capture lab, we found localization accuracies of 7.0 ± 11.1 cm while in the mock condo, we found accuracies of 27.3 ± 12.9 cm. Dynamic testing with rolling motions had an average of 19.1 ± 1.6 cm while walking was 20.5 ± 4.2 cm. The mean accuracy of UWB is within the 30 cm target for indoor localization.

Physical Fitness and Cognitive Function in Persons with Dementia and their Caregiver

A cross-sectional design investigated the physical attributes of 15 dyads of people with dementia and their caregivers. Physical and cognitive markers determined deviations from clinical thresholds for loss of functional independence, where 100% of participants performed below criterion-referenced threshold values for aerobic endurance. Walking distance for people with dementia was associated with bath/shower activity (p = .007), transfers (p < .001), and mobility (p = .013). Less distance walked was associated with more assistance with self-care tasks. Physical deficits associated with low aerobic endurance and lower body strength compromised independence, placing dyads at risk for falls and mobility-related health issues.

Pain, comorbidities, and clinical decision-making: conceptualization, development, and pilot testing of the Pain in Aging, Educational Assessment of Need instrument

Introduction

Pain is highly prevalent in older adults and often contextualized by multiple clinical conditions (pain comorbidities). Pain comorbidities increase with age and this makes clinical decisions more complex. To address gaps in clinical training and geriatric pain management, we established the Pain in Aging-Educational Assessment of Need (PAEAN) project to appraise the impacts of medical and mental health conditions on clinical decision-making regarding older adults with pain. We here report development and pilot testing of the PAEAN survey instrument to assess clinician perspectives.

Methods

Mixed-methods approaches were used. Scoping review methodology was applied to appraise both research literature and selected Medicare-based data. A geographically and professionally diverse interprofessional advisory panel of experts in pain research, medical education, and geriatrics was formed to advise development of the list of pain comorbidities potentially impacting healthcare professional clinical decision-making. A survey instrument was developed, and pilot tested by diverse licensed healthcare practitioners from 2 institutions. Respondents were asked to rate agreement regarding clinical decision-making impact using a 5-point Likert scale. Items were scored for percent agreement.

Results

Scoping reviews indicated that pain conditions and comorbidities are prevalent in older adults but not universally recognized. We found no research literature directly guiding pain educators in designing pain education modules that mirror older adult clinical complexity. The interprofessional advisory panel identified 26 common clinical conditions for inclusion in the pilot PAEAN instrument. Conditions fell into three main categories: "major medical", i.e., cardio-vascular-pulmonary; metabolic; and neuropsychiatric/age-related. The instrument was pilot tested by surveying clinically active healthcare providers, e.g., physicians, nurse practitioners, who all responded completely. Median survey completion time was less than 3 min.

Conclusion

This study, developing and pilot testing our "Pain in Aging-Educational Assessment of Need" (PAEAN) instrument, suggests that 1) many clinical conditions impact pain clinical decision-making, and 2) surveying healthcare practitioners about the impact of pain comorbidities on clinical decision-making for older adults is highly feasible. Given the challenges intrinsic to safe and effective clinical care of older adults with pain, and attendant risks, together with the paucity of existing relevant work, much more education and research are needed.

Falls and Alzheimer Disease

Falls are the leading cause of injury, disability, and injury-related mortality in the older adult population. Older adults with Alzheimer disease (AD) are over twice as likely to experience a fall compared to cognitively normal older adults. Intrinsic and extrinsic fall risk factors may influence falls during symptomatic AD; intrinsic factors include changes in cognition and impaired functional mobility, and extrinsic factors include polypharmacy and environmental fall hazards. Despite many known fall risk factors, the high prevalence of falls, and the presence of effective fall prevention interventions for older adults without cognitive impairment, effective fall prevention interventions for older adults with AD to date are limited and inconclusive. Falls may precede AD-related cognitive impairment during the preclinical phase of AD, though a narrow understanding of fall risk factors and fall prevention interventions for older adults with preclinical AD limits clinical treatment of falls among cognitively normal older adults with preclinical AD. This mini review explores fall risk factors in symptomatic AD, evidence for effective fall prevention interventions in symptomatic AD, and preclinical AD as an avenue for future falls research, including recommendations for future research directions to improve our understanding of falls and fall risk during preclinical AD. Early detection and tailored interventions to address these functional changes are needed to reduce the risk of falls for those at risk for developing AD. Concerted efforts should be dedicated to understanding falls to inform precision fall prevention strategies for this population.

Sarcopenia, but not malnutrition, is associated with fear of falling in older patients with dementia

OBJECTIVE

Fear of falling (FoF) is common in patients with cognitive impairment. However, the role of sarcopenia and malnutrition, which are two important factors that cause falls, on FoF is unknown. The aim of this study was to explore the association between FoF and malnutrition and sarcopenia in older patients with dementia.

METHODS

Two hundred and sixty-six dementia patients underwent comprehensive geriatric assessment. The Falls Efficacy Scale-International (FES-I) was applied to assign and classify FoF. Scores for the FES-I scale were categorized as ≥28, 20-27, or 16-19, representing high concern, moderate, and no or low concern about FoF, respectively. Mini Nutritional Assessment (MNA) scores <17, 17-23.5, or >23.5 were categorized as malnutrition, malnutrition risk, and well-nourished, respectively. Sarcopenia was defined using the SARC-F tool. SARC-F score ≥4 was categorized as sarcopenia. Serum folate, Vitamin B12, and Vitamin D deficiencies were also evaluated. The relationship between FoF groups and nutritional status, presence of sarcopenia, and micronutrient status was evaluated.

RESULTS

The mean age was 80.83±6.61 years. The prevalence of moderate and high FoF in dementia patients was 51%. There was a significant difference in terms of cerebrovascular events, the history of falling, instrumental and basic activities of daily living (IADL and BADL), MNA, and SARC-F scores between the FoF groups (p<0.05). The association between sarcopenia and FoF persisted in multivariable analysis adjusted for MNA scores, cerebrovascular events, falls history, BADL, and IADL (OR=2.67, 95% CI: 1.50-4.50), but there was no significant association between malnutrition/micronutrient deficiencies and FoF (p>0.05).

CONCLUSION

Sarcopenia is associated with the severity of FoF, but malnutrition or micronutrient deficiencies are not associated with the severity of FoF in older patients with dementia.

Digital technologies to prevent falls in people living with dementia or mild cognitive impairment: a rapid systematic overview of systematic reviews

OBJECTIVE

Falls are a common cause of potentially preventable death, disability and loss of independence with an annual estimated cost of £4.4bn. People living with dementia (PlwD) or mild cognitive impairment (MCI) have an increased fall risk. This overview evaluates evidence for technologies aiming to reduce falls and fall risk for PlwD or MCI.

METHODS

In October 2022, we searched five databases for evidence syntheses. We used standard methods to rapidly screen, extract data, assess risk of bias and overlap, and synthesise the evidence for each technology type.

RESULTS

We included seven systematic reviews, incorporating 22 relevant primary studies with 1,412 unique participants. All reviews had critical flaws on AMSTAR-2: constituent primary studies were small, heterogeneous, mostly non-randomised and assessed as low or moderate quality. Technologies assessed were: wearable sensors, environmental sensor-based systems, exergaming, virtual reality systems. We found no evidence relating to apps. Review evidence for the direct impact on falls was available only from environmental sensors, and this was inconclusive. For wearables and virtual reality technologies there was evidence that technologies may differentiate PlwD who fell from those who did not; and for exergaming that balance may be improved.

CONCLUSIONS

The evidence for technology to reduce falls and falls risk for PlwD and MCI is methodologically weak, based on small numbers of participants and often indirect. There is a need for higher-quality RCTs to provide robust evidence for effectiveness of fall prevention technologies. Such technologies should be designed with input from users and consideration of the wider implementation context.

Blind Spots in Hospital Fall Prevention: Falls in Stroke Patients Occurred Not Only in Those at a High Risk of Falling

OBJECTIVES

Although the standard falls prevention strategy is to identify and respond to patients with high-risk conditions, it remains unclear whether falls in patients with high fall risk account for most observed falls. In this study, fall risk and number of falls were calculated based on patients' motor and cognitive abilities, and the relationship between the two was examined.

DESIGN

We conducted a retrospective cohort study.

SETTING AND PARTICIPANTS

We included 2518 consecutive patients with stroke who were admitted to a rehabilitation hospital.

METHODS

Data on falls during hospitalization and biweekly assessed Functional Independence Measure scores were retrieved from the medical records. The average Functional Independence Measure scores for the motor and cognitive items were obtained and categorized as complete dependence, modified dependence, and independence. The fall rate (falls/1000 person-days) and number of observed falls in each combined condition were investigated.

RESULTS

Modified dependence on motor ability and complete dependence on cognitive ability had the highest risk of falls, with a fall rate of 10.8/1000 person-days and 51 fall observations, which accounted for 4.3% of all falls. Independent motor and cognitive ability had the lowest risk of falls, a fall rate of 2.6/1000 person-days and 146 observed falls, accounting for 12.4% of all falls, which was 2.8 times higher than the number of falls observed in the highest risk of falls condition.

CONCLUSIONS AND IMPLICATIONS

The combined motor-cognitive ability with the highest risk of falls in stroke inpatients did not have the highest number of observed falls. Rather, the combined motor-cognitive ability with the lowest risk of falls tended to have a high number of observed falls. A different strategy is needed to reduce the total number of falls.

Falls Risk in Long-Term Care Residents With Cognitive Impairment: Effects of COVID-19 Pandemic

OBJECTIVES

The aim of this study was to investigate the impact of the COVID-19 pandemic on falls rates in long-term care residents with cognitive impairment.

DESIGN

An observational study using routinely collected national interRAI data.

SETTING AND PARTICIPANTS

Participants were from long-term care residents (age ≥60 years) who received an interRAI Long Term Care Facility assessment anywhere in New Zealand between August 17, 2018, and August 16, 2022.

METHODS

The primary outcome was "At least 1 fall in the last 30 days." Based on the Cognitive Performance Scale (CPS), cognitive impairment was categorized into 3 levels: intact or borderline intact (0-1), mild to moderate impairment (2-3), and moderately to very severe impairment (4-6). The COVID-19 pandemic was divided into 3 periods (First wave: March 21, 2020, to June 8, 2020; Varying level of community outbreaks: June 9, 2020 to August 16, 2021; and Delta-Omicron wave: August 17, 2021, to August 16, 2021) and compared to a pre-COVID-19 period (August 17, 2018, to March 20, 2020). Cox regression modeling was used to study falls and interactions between CPS and COVID-19 pandemic periods, along with other established falls risk factors in the literature.

RESULTS

A total of 282,518 interRAI-LTCF assessments from 75,132 unique residents were included. Interactions between CPS and COVID-19 pandemic periods found that cognitive impairment was associated with a higher hazard ratio (ranged from 1.22 to 1.37) in each of the 3 COVID-19 pandemic periods. We also found unstable health, unsteady gait, wandering, and moderate to severe ADL dependency were the strongest risk factors for falls.

CONCLUSIONS AND IMPLICATIONS

Cognitively impaired long-term care residents had an increased risk for falls during the COVID-19 pandemic. This risk was influenced by several factors. In future pandemic or infection control related isolation, residents who are most at risk can be identified for targeted falls prevention programs.

Types, functions and mechanisms of robot-assisted intervention for fall prevention: A systematic scoping review

BACKGROUND

Any individual may experience accidental falls, particularly older adults. Although robots can prevent falls, knowledge of their fall-preventive use is limited.

OBJECTIVE

To explore the types, functions, and mechanisms of robot-assisted intervention for fall prevention.

METHODS

A systematic scoping review of global literature published from inception to January 2022 was conducted according to Arksey and O'Malley's five-step framework. Nine electronic databases, namely, PubMed, Embase, CINAHL, IEEE Xplore, the Cochrane Library, Scopus, Web of Science, PsycINFO, and ProQuest, were searched.

RESULTS

Seventy-one articles were found with developmental (n = 63), pilot (n = 4), survey (n = 3), and proof-of-concept (n = 1) designs across 14 countries. Six types of robot-assisted intervention were found, namely cane robots, walkers, wearables, prosthetics, exoskeletons, rollators, and other miscellaneous. Five main functions were observed including (i) detection of user fall, (ii) estimation of user state, (iii) estimation of user motion, (iv) estimation of user intentional direction, and (v) detection of user balance loss. Two categories of mechanisms of robots were found. The first category was executing initiation of incipient fall prevention such as modeling, measurement of user-robot distance, estimation of center of gravity, estimation and detection of user state, estimation of user intentional direction, and measurement of angle. The second category was achieving actualization of incipient fall prevention such as adjust optimal posture, automated braking, physical support, provision of assistive force, reposition, and control of bending angle.

CONCLUSIONS

Existing literature regarding robot-assisted intervention for fall prevention is in its infancy. Therefore, future research is required to assess its feasibility and effectiveness.

Examining gait aid use and user safety by older people with dementia: Perspectives of informal carers to inform practice

PURPOSE

To determine gait aid use and decision-making related to usage in people with dementia, and examine factors influencing (1) gait aid use or not; and (2) falls in past year.

MATERIALS AND METHODS

A survey of informal carers of older people with dementia in the community. Closed questions on gait aid use, falls, timing and sources of gait aid acquisition, and advice received to support use were used. Chi-squared tests (Fisher's Exact) compared: (1) gait aid users vs non-users and carers' report of (i) unsteadiness in walking/turning, (ii) dementia severity, (iii) falls in past year, and (2) fallers vs non-fallers and (i) timing of gait aid commencement relative to dementia diagnosis, (ii) whether health professional advice was received regarding use, and iii) regularity of use.

RESULTS

Forty-seven completed surveys, 63.8% of care recipients used a gait aid; 56.9% had ≥2 falls in past year; 66.7% commenced use after dementia diagnosis; 25% acquired their aids from non-health professionals; and 37% did not receive advice regarding use. Gait aid users and non-users differed on carer ratings of unsteadiness in walking/turning (p = 0.02).

CONCLUSION

Carers reported important aspects regarding gait aid acquisition, safe gait aid use and benefits which warrant further investigation.IMPLICATIONS FOR REHABILITATIONIn our small sample, use of gait aids by people with dementia was related to the level of unsteadiness in walking and/or turning, and not associated with falling in the past year.People with dementia do not routinely receive professional advice about how to use gait aids, highlighting the potential value of maximizing health professional involvement in gait aid prescription and training.Deterioration in the ability of gait aid use after the diagnosis of dementia indicates a need for re-assessment or re-training of gait aid use over time.Clinical guidelines to facilitate decision-making regarding under what conditions gait aids are beneficial, what duration and aspects require instruction to ensure effective use by people with dementia are needed.

HomeADScreen: Developing Alzheimer's disease and related dementia risk identification model in home healthcare

BACKGROUND

More than 50 % of patients with Alzheimer's disease and related dementia (ADRD) remain undiagnosed. This is specifically the case for home healthcare (HHC) patients.

OBJECTIVES

This study aimed at developing HomeADScreen, an ADRD risk screening model built on the combination of HHC patients' structured data and information extracted from HHC clinical notes.

METHODS

The study's sample included 15,973 HHC patients with no diagnosis of ADRD and 8,901 patients diagnosed with ADRD across four follow-up time windows. First, we applied two natural language processing methods, Word2Vec and topic modeling methods, to extract ADRD risk factors from clinical notes. Next, we built the risk identification model on the combination of the Outcome and Assessment Information Set (OASIS-structured data collected in the HHC setting) and clinical notes-risk factors across the four-time windows.

RESULTS

The top-performing machine learning algorithm attained an Area under the Curve = 0.76 for a four-year risk prediction time window. After optimizing the cut-off value for screening patients with ADRD (cut-off-value = 0.31), we achieved sensitivity = 0.75 and an F1-score = 0.63. For the first-year time window, adding clinical note-derived risk factors to OASIS data improved the overall performance of the risk identification model by 60 %. We observed a similar trend of increasing the model's overall performance across other time windows. Variables associated with increased risk of ADRD were "hearing impairment" and "impaired patient ability in the use of telephone." On the other hand, being "non-Hispanic White" and the "absence of impairment with prior daily functioning" were associated with a lower risk of ADRD.

CONCLUSION

HomeADScreen has a strong potential to be translated into clinical practice and assist HHC clinicians in assessing patients' cognitive function and referring them for further neurological assessment.

Fall Risk Screening and Assessment for People Living With Dementia: A Scoping Review

Falls are the leading cause of injury and hospitalization for older adults in Canada and the second leading cause of unintentional injury deaths worldwide. For people living with dementia (PLWD), falls have an even greater impact, but the standard testing methods for fall risk screening and assessment are often not practical for this population. The purpose of this scoping review is to identify and summarize recent research, practice guidelines and gray literature which have considered fall risk screening and assessment for PLWD. Database search results revealed a dearth in the literature that can support researchers and healthcare providers when considering which option/s are the most suitable for PLWD. Further primary studies into the validity of using the various tests with PLWD are needed if researchers and healthcare providers are to be empowered via the literature and clinical practice guidelines to provide the best possible fall risk care for PLWD.

Predictors of falls in older adults with and without dementia

INTRODUCTION

Persons living with, versus without, dementia (PLWD) have heightened fall-risk. Little is known about whether fall-risk factors differ by dementia status.

METHODS

Using the 2015 and 2016 National Health and Aging Trends Study, we prospectively identified fall-risk factors over a 12-month period among community-living older adults ≥65 years with and without dementia (n = 5581).

RESULTS

Fall rates were higher among PLWD compared to persons without dementia (45.5% vs. 30.9%). In a multivariable model including sociodemographic, health, function, and environmental characteristics as predictors, vision impairment (OR: 2.22, 95% CI: 1.12-4.40), and living with a spouse versus alone (OR: 2.43, 95% CI: 1.09-5.43) predicted falls among PLWD, but not among persons without dementia. History of previous falls predicted subsequent falls regardless of dementia status (OR: 6.20, 95% CI: 3.81-10.09, and OR: 2.92, 95% CI: 2.50-3.40, respectively).

DISCUSSION

Incorporating appropriate fall-risk factors could inform effective falls screening and prevention strategies for PLWD.

HIGHLIGHTS

46% of persons with dementia had ≥1 falls versus 31% of those without dementia in 2016. Vision impairment and living with a spouse predicted falls in persons with dementia. Study results support tailored fall prevention strategies for persons with dementia.

Risk factors associated with home care safety for older people with dementia: family caregivers' perspectives

BACKGROUND

Many older people with dementia currently prefer home care; however, homes are neither professionally designed nor regulated like health care facilities, and home care is more prone to safety incidents. Many studies have examined home care safety for older people with dementia. However, factors contributing to safety incidents in home care have not been adequately considered. This study explored the risk factors for home care safety for older people with dementia based on the perspective of family caregivers.

METHODS

This study used a qualitative research approach; a total of 24 family caregivers were interviewed face-to-face and semi-structured from February 2022 to May 2022, and the Colaizzi seven-step phenomenological research method was used to analyze the data and refine the themes.

RESULTS

Safety risks in home care for older people with dementia stem from five areas: poor health of older people with dementia, dementia symptoms, unsafe home environment, the insufficient caring ability of family caregivers, and lack of safety awareness of family caregivers.

CONCLUSION

The risk factors for home care safety for older people with dementia are complex. And as the primary caregivers of older people with dementia, the caregiving ability and safety awareness of family caregivers primarily determine the safety of home care for older people with dementia. Therefore, when addressing home care safety for older people with dementia, the focus should be on providing targeted education programs and support services for family caregivers of older people with dementia.

Order of Onset of Physical Frailty and Cognitive Impairment and Risk of Repeated Falls in Community-Dwelling Older Adults

OBJECTIVES

To examine whether physical frailty onset before, after, or in concert with cognitive impairment is differentially associated with fall incidence in community-dwelling older adults.

DESIGN

A longitudinal observational study.

SETTING AND PARTICIPANTS

Data from 1337 older adults age ≥65 years and free of physical frailty or cognitive impairment at baseline were obtained from the National Health Aging Trends Study (2011‒2017), a nationally representative cohort study of US older adult Medicare beneficiaries.

METHODS

Participants were assessed annually for frailty (physical frailty phenotype) and cognitive impairment (bottom quintile of clock drawing test or immediate and delayed recall; or proxy-report of diagnosis of dementia or AD8 score of ≥2). Incident falls were ascertained annually via self-report. Multinomial logistic regression was performed to estimate the association between order of first onset of cognitive impairment and/or frailty and incident single or repeated falls in the 1-year interval following their first onset.

RESULTS

Of the 1,337, 832 developed cognitive impairment first (termed "CI first"), 286 developed frailty first (termed "frailty first") and 219 had co-occurrence of cognitive impairment and frailty within one year (termed "CI-frailty co-occurrence") over 5 years. Overall, 491 (34.5%) had at least 1 fall during the 1-year interval following the onset of physical frailty and/or cognitive impairment. After adjustment, "CI-frailty co-occurrence" was associated with a more than 2-fold increased risk of repeated falls than "CI first" (odds ratio 2.35, 95% confidence interval 1.51‒3.67; P < .001). No significant difference was found between participants with "frailty first" and "CI first" (P = .07). In addition, the order of onset was not associated with risk of a single fall.

CONCLUSIONS AND IMPLICATIONS

Older adults experiencing "CI-frailty co-occurrence" had the greatest risk of repeated falls compared with those with "CI first" and "frailty first". Fall risk screening should consider the order and timing of onset of physical frailty and cognitive impairment.

Involvement of Informal Caregivers in Preventing Falls in Older Adults with Cognitive Impairment: A Rapid Review

BACKGROUND

The prevalence of falls and related injuries is double in older adults with cognitive impairment compared with cognitively healthy older adults. A growing body of literature shows that falls prevention interventions in the cognitively impaired are difficult to implement and that the feasibility and adherence to interventions depend on a number of factors including informal caregiver involvement. However, no systematic review exists on the topic.

OBJECTIVE

Our objective is to determine whether involvement of informal caregivers can reduce falls in older adults with cognitive impairment.

METHODS

Rapid review following Cochrane collaboration guidelines.

RESULTS

Seven randomized controlled trials were identified involving 2,202 participants. We identified the following areas where informal caregiving may have an important role in fall prevention in older adults with cognitive impairment: 1) enhancing adherence to the exercise program; 2) identifying and recording falls incidents and circumstances; 3) identifying and modifying possible environmental falls risk factors inside patient's home; and 4) playing an active role in modifying lifestyle in terms of diet/nutrition, limiting antipsychotics, and avoiding movements risking falls. However, informal caregiver involvement was identified as an incidental finding in these studies and the level of evidence ranged from low to moderate.

CONCLUSION

Informal caregiver involvement in planning and delivering interventions to reduce falls has been found to increase the adherence of individuals with cognitive impairment in falls prevention programs. Future research should address whether involvement of informal caregivers may improve efficacy of prevention programs by reducing the number of falls as a primary outcome.

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid their loss of autonomy. Once older people enter the prefrail stage, they are already likely to experience falls whose consequences may accelerate the deterioration of their quality of life (injuries, fear of falling, reduction of physical activity). In that context, detecting frailty and high risk of fall at an early stage is the first line of defense against the detrimental consequences of fall. The second line of defense would be to develop original protocols to detect future fallers before any fall occur. This paper briefly summarizes the current advancements and perspectives that may arise from the combination of affordable and easy-to-use non-wearable systems (force platforms, 3D tracking motion systems), wearable systems (accelerometers, gyroscopes, inertial measurement units-IMUs) with appropriate machine learning analytics, as well as the efforts to address these challenges.

Preventing falls in older people on mental health inpatient wards: a quality improvement project

Older people on mental health inpatient wards are at high risk of falls due to a combination of physiological, pathophysiological and pharmacological factors. Falls prevention should therefore be a priority for nursing staff caring for this patient group. This article describes a quality improvement project conducted on four older adult mental health inpatient wards in Scotland. The project aimed to reduce the number of falls, increase staff's adherence to person-centred falls prevention care planning, and ensure every fall would prompt a post-fall review. Nursing staff participated in a falls prevention training session and registered nurses received, in addition, one-to-one coaching sessions on person-centred care planning. Despite the challenges faced by mental healthcare professionals at the time of the project, staff responded positively and there was a decrease in the number of falls, including falls resulting in harm.

Risk Factors Associated with Falls in Older Adults with Dementia and Alzheimer's Diseases among Older Adults in the United States

Objective

This study aimed to examine the risk of fall, fall injury, and fall numbers among older adults with dementia and Alzheimer diseases. Additionally, this study explored the relationship of falls by medication use of neurodegenerative diseases.

Methods

The survey data from the years 2020 of Health and Retirement Study Consumption and Activities Mail Survey (HRS CAMS) was used. The HRS CAMS includes information of demographic characteristics, fall information, and medical background including dementia and Alzheimer diseases, and medication record. A regression model was used to test whether neurodegenerative diseases and medications was associated with fall risk factors.

Results

The sample (n = 8782) was predominately female (54.7%) and white (60.7%) with a mean age of 70.4 years. When controlled for covariates, the findings show 10 percent higher risk of fall for elderly people with dementia and Alzheimer. People with dementia were 9% more likely to have higher risk of injury by fall and those with dementia and Alzheimer's had more than 7 times of higher chance of a higher number of falls. Using Alzheimer's prescription was associated with lower 90% lower risk of fall than controls.

Conclusions

Dementia and Alzheimer diseases are significant risk factor for falls in older adults. This study suggests that older adults with neurodegenerative diseases have higher risk, and needs more regular medical checkups to decrease the risk of fall.

SHMAD: A Smart Health Care System to Monitor Alzheimer's Disease Patients

BACKGROUND

In the digital era monitoring the patient's health status is more effective and consistent with smart healthcare systems. Smart health care facilitates secure and reliable maintenance of patient data. Sensors, machine learning algorithms, Internet of things, and wireless technology has led to the development of Artificial Intelligence-driven Internet of Things models.

OBJECTIVE

This research study proposes an Artificial Intelligence driven Internet of Things model to monitor Alzheimer's disease patient condition. The proposed Smart health care system to monitor and alert caregivers of Alzheimer's disease patients includes different modules to monitor the health parameters of the patients. This study implements the detection of fall episodes using an artificial intelligence model in Python.

METHODS

The fall detection model is implemented with data acquired from the IMU open dataset. The ensemble machine learning algorithm AdaBoost performs classification of the fall episode and daily life activity using the feature set of each data sample. The common machine learning classification algorithms are compared for their performance on the IMU fall dataset.

RESULTS

AdaBoost ensemble classifier exhibits high performance compared to the other machine learning algorithms. The AdaBoost classifier shows 100% accuracy for the IMU dataset. This high accuracy is achieved as multiple weak learners in the ensemble model classify the data samples in the test data accurately.

CONCLUSIONS

This study proposes a smart healthcare system for monitoring Alzheimer's disease patients. The proposed model can alert the caregiver in case of fall detection via mobile applications installed in smart devices.

Cognitive Frailty as a Predictor of Future Falls in Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVES

To examine the association between cognitive frailty and the risk of future falls among older adults.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Older people aged ≥60 years with cognitive frailty from community, hospital, or both.

METHODS

PubMed, EMBASE, Web of Science, the Cochrane Library, Wanfang Database, China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Chinese Biomedical Database (CBM) were searched for relevant studies published from the inception of the database until June 14, 2022. Stata 16.0 software was used to perform the meta-analysis. A random effects model was used to pool the prevalence of falls in older adults over age 60 years with cognitive frailty and the strength of the association between cognitive frailty and falls [odds ratios (ORs) and 95% CIs]. Quality assessment, heterogeneity, and sensitivity analyses were also conducted. A study protocol was registered in PROSPERO (CRD42022331323).

RESULTS

The review included 18 studies in qualitative synthesis, 14 of which were in meta-analysis. Eleven sets of cross-sectional data involving 23,025 participants and 5 sets of longitudinal data involving 11,924 participants were used in the meta-analysis. The results showed that the overall prevalence of falls in 1742 people with cognitive frailty was 36.3% (95% CI 27.9-44.8, I² = 93.4%). Longitudinal study results showed that cognitively frail individuals had a higher risk of falls (OR 3.02, 95% CI 2.11-4.32, I² = 0.0%, P = .406), compared to robust participants without cognitive impairment; physically frail people (alone) had a moderate risk of falls (OR 2.16, 95% CI 1.42-3.30, I² = 9.7%, P = .351); cognitively impaired people (alone) had a lower risk of falls (OR 1.36, 95% CI 1.03-1.79, I² = 0.0%, P = .440). Among cross-sectional studies, cognitive frailty was associated with the risk of falls (OR 2.74, 95% CI 2.20-3.40, I² = 53.1%, P = .019). Although high heterogeneity was noted among 11 cross-sectional studies reporting ORs, the sensitivity analysis showed that no single study significantly affected the final pooled results.

CONCLUSIONS AND IMPLICATIONS

This systematic review and meta-analysis confirms the findings that cognitive frailty was demonstrated to be a significant predictor of future falls in older adults. However, further prospective investigations are warranted.

A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases

Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and social environments. One strategy to mitigate the pain of NDDs is to early identify and remotely monitor related motor impairments using wearable devices. Technological progress has contributed to reducing the hardware complexity of mobile devices while simultaneously improving their efficiency in terms of data collection and processing and energy consumption. However, perhaps the greatest challenges of current mobile devices are to successfully manage the security and privacy of patient medical data and maintain reasonable costs with respect to the traditional patient consultation scheme. In this work, we conclude: (1) Falls are most monitored for Parkinson's disease, while tremors predominate in epilepsy and Alzheimer's disease. These findings will provide guidance for wearable device manufacturers to strengthen areas of opportunity that need to be addressed, and (2) Of the total universe of commercial wearables devices that are available on the market, only a few have FDA approval, which means that there is a large number of devices that do not safeguard the integrity of the users who use them.

Post-evacuation return of psychiatric hospital inpatients evacuated to hospitals outside the Fukushima prefecture after the nuclear accident: A Retrospective Cohort Study

BACKGROUND

Post-evacuation return after mandatory hospital evacuation due to complicated disasters is often overlooked and not well-discussed.

AIMS

In this study, we explored the factors which are related to the ease or difficulty of the post-evacuation return to Fukushima prefecture of psychiatric inpatients who had been evacuated to hospitals outside the prefecture because of the Great East Japan Earthquake (GEJE) and subsequent Fukushima Daiichi Nuclear Power Plant (FDNPP) accident.

METHOD

This retrospective cohort study included evacuated psychiatric hospital inpatients who were registered in the Matching Project for Community Transition (MPCT) and had been traced until July 31, 2019. A total of 531 patients were included for the analyses. Univariable and multivariable analysis were conducted to detect the patients' traits including their psychiatric/physical backgrounds which were associated with their outcome - the time from GEJE to the date of return to Fukushima.

RESULTS

Over half of the patients returned to Fukushima. In the multivariable analysis, the patients' gender (male), age (older), and psychiatric diagnoses of schizophrenia, schizotypal and delusional disorders (ICD-10, F20-29) showed lower hazard ratio (HR) and statistically significant association with the difficulties of post-evacuation return. Meanwhile, disorders of psychological development (F80-89), diseases of the nervous (G00-99, except G40-41) and genitourinary (N00-99) systems showed higher HR and statistically significant association with the ease of return.

CONCLUSIONS

The specific characteristics of the psychiatric inpatients including their psychiatric and physical status are associated with their post-evacuation return to their hometown. These results indicated that the evacuated hospitals' practitioners and staffs from the MPCT understood the necessity of the earlier return of inpatients to their hometown. Moreover, clinicians should pay more attention to some symptoms unique to psychiatric patients which contributed to their difficulties in returning safely or expressing their hope to return.

Education and training interventions for physiotherapists working in dementia care: a scoping review

OBJECTIVES

Physiotherapy plays a key role in many aspects of dementia care, most notably in maintaining mobility. However, there is a lack of dementia care training at undergraduate and postgraduate level, and more importantly, a paucity of evidence as to what constitutes effective dementia education and training for physiotherapists. The aim of this scoping review was to explore and map the evidence, both quantitative and qualitative, relating to education and training for physiotherapists.

DESIGN

This scoping review followed the Joanna Briggs Institute methodology for scoping reviews. A chronological narrative synthesis of the data outlined how the results relate to the objectives of this study.

SETTING

All studies, both quantitative and qualitative on dementia education and training conducted in any setting, including acute, community care, residential or any educational setting in any geographical area were included.

PARTICIPANTS

Studies that included dementia education and training for both qualified and student physiotherapists were considered RESULTS: A total of 11 papers were included in this review. The principal learning outcomes evaluated were knowledge, confidence, and attitudes. Immediate post- intervention scores showed an improvement in all three outcomes. The Kirkpatrick four level model was used to evaluate the level of outcome achieved. Most educational interventions reached Kirkpatrick level 2, which evaluates learning. A multi-modal approach, with active participation and direct patient involvement seems to enhance learning.

CONCLUSIONS

Allowing for the heterogeneity of intervention design and evaluation, some common components of educational interventions were identified that led to positive outcomes. This review highlights the need for more robust studies in this area. Further research is needed to develop bespoke dementia curricula specific to physiotherapy. CONTRIBUTIONS OF THE PAPER.

Health promotion for older people with dementia living in the community

Dementia has physical, psychological, social and economic effects, not only on people with dementia but also on their families, carers and society as a whole. Health promotion interventions for older people with dementia living in the community can support their health and well-being, particularly early in the course of the condition. Nurses have an important role in working collaboratively with patients, family carers and the multidisciplinary team to develop health promotion activities that are tailored to the person and take into account the progressive nature of the condition. This article gives an overview of health promotion as an aspect of post-diagnosis dementia care and considers how nurses can work with older people with dementia living in the community to promote their health.

The Lived Experience of Healthcare Workers in Preventing Falls in Community Dwelling Individuals with Dementia

Older adults living with dementia have at least twice the risk of falling compared to their peers living without cognitive impairment. There is evidence for the effectiveness of standard interventions in falls prevention in community dwellings, but they may not translate to individuals with Mild Cognitive Impairment (MCI) or dementia. A qualitative enquiry, adopting an interpretive research design underpinned by a phenomenological approach using semi-structured interviews with four healthcare workers from the field was adopted. Data were analysed using Interpretive Phenomenological Analysis to identify themes. Four major themes were developed: on-going assessment is important in guiding interventions and influencing change, knowledge and experience informs practice, individuals living with dementia have complex physical and cognitive needs, and teamwork is essential in falls prevention strategies, which highlighted falls prevention in this context being multifactorial and complex. The findings found that combining physical and cognitive strategies as part of falls prevention has potential benefits for this population, including reducing falls risks and maintaining function. Targeted training and awareness raising within a supportive multi-disciplinary team structure is required, underpinned by on-going, person-centred assessments.

Feasible Intervention through Simple Exercise for Risk of Falls in Dementia Patients: A Pilot Study

Physical exercise can help older people maintain capacities such as muscle strength, balance, postural control, bone mass, and functionality in ADL that usually decline with age. Dementia patients can attend day care centers where they participate in activities such as cognitive training, music and art therapy, and physical exercise sessions. This research aimed to determine the effectiveness of simple lower limb strength and single leg stance training, feasible in the facilities of day care centers, to reduce the risk of falls in the elderly with dementia. Twenty patients with dementia were divided into intervention and control groups. They participated in mobility, strength, coordination, and balance exercise sessions for 45-50 min on weekdays for 5 weeks. In addition, the intervention group patients performed simple lower limb strength (sit-to-stands) and single leg stance exercises in every session. Risk of falls was assessed with the Tinetti test and the SPPB. Comparisons of post- and pre-intervention scores for the Tinetti test and SPPB were statistically increased (0.8 ± 0.7, p = 0.03; 1.5 ± 1.3 points, p = 0.02) in intervention patients. Simple lower limb strength and single leg stance exercises feasible to be done in day care facilities are effective tools for reducing the risk of falls in the elderly with dementia.

Assessing the relationship between hearing impairment and falls in older adults

Falls and fall-related injuries are the major sources of mortality, disability, and dysfunction among older people. The study aimed to examine the association between hearing impairment and falls in Chinese older adults, using data from the Chinese Longitudinal Healthy Longevity Survey. The outcome variable was experienced falls in the past year, and the exposure variable was hearing impairment. The odds ratio (OR) of falls was 1.51 and 1.47 for men and women with hearing impairment than those without hearing impairment after adjusting for covariates. For participants aged 60-69 years, 70-79 years, 80-89 years, and ≥ 90 years, the OR of risk of falls associated with hearing impairment was 2.80, 1.41, 1.50 and 1.44, respectively. These results suggested that there was an association between hearing impairment and falls. Older adults with hearing impairment had a higher risk of falls than those without hearing impairment in the Chinese older population.

The Effects on Gait of 4-Wheeled Walker Use in People with Alzheimer’s Disease Dementia and Gait Impairment: A Pilot Study

In people with dementia, provision of mobility aids is standard treatment for those with impaired gait. However, mobility aid use is independently associated with increased falls risk. In this short communication, gait velocity and stride time variability were recorded in eleven adults with Alzheimer’s disease dementia. Three conditions were tested: single-task (no aid), walking with a walker, and dual-task (walker use and counting backwards) under both a straight path and Figure-of-8 walking configuration. Gait velocity increased when using a walker compared to no aid in the Figure-of-8 walking configuration. Walker use improved gait in simple walking, but benefits diminished upon dual-task.

Repetitive Traumatic Brain Injury Among Older Adults

OBJECTIVE

To determine the incidence of and assess risk factors for repetitive traumatic brain injury (TBI) among older adults in the United States.

DESIGN

Retrospective cohort study.

SETTING

Administrative claims data obtained from the Centers for Medicare & Medicaid Services' Chronic Conditions Data Warehouse.

PARTICIPANTS

Individuals 65 years or older and diagnosed with TBI between July 2008 and September 2012 drawn from a 5% random sample of US Medicare beneficiaries.

MAIN MEASURES

Repetitive TBI was identified as a second TBI occurring at least 90 days after the first occurrence of TBI following an 18-month TBI-free period. We identified factors associated with repetitive TBI using a log-binomial model.

RESULTS

A total of 38 064 older Medicare beneficiaries experienced a TBI. Of these, 4562 (12%) beneficiaries sustained at least one subsequent TBI over up to 5 years of follow-up. The unadjusted incidence rate of repetitive TBI was 3022 (95% CI, 2935-3111) per 100 000 person-years. Epilepsy was the strongest predictor of repetitive TBI (relative risk [RR] = 1.44; 95% CI, 1.25-1.56), followed by Alzheimer disease and related dementias (RR = 1.32; 95% CI 1.20-1.45), and depression (RR = 1.30; 95% CI, 1.21-1.38).

CONCLUSIONS

Injury prevention and fall-reduction interventions could be targeted to identify groups of older adults at an increased risk of repetitive head injury. Future work should focus on injury-reduction initiatives to reduce the risk of repetitive TBI as well as assessment of outcomes related to repetitive TBI.

Risk factors for falls in community-dwelling older people with mild cognitive impairment: a prospective one-year study

Objective

Mild cognitive impairment (MCI) is considered an intermediate stage between normal cognitive function and dementia. Fall risk is increased in this group, but there is limited literature exploring specific fall risk factors that may be addressed in fall prevention strategies. The aim of this study was to examine risk factors for falls in older people with MCI, focusing on cognitive, psychological and physical factors.

Methods

Participants (n = 266, 45% women) were community-dwelling older people aged 70-90 years who met the criteria for MCI. Cognitive, psychological, sensorimotor and physical assessments, physical activity levels, medication use, general health and disability were ascertained at baseline. Falls were monitored prospectively for 12 months.

Results

During follow-up, 106 (40%) participants reported one or more falls. Poorer visual contrast sensitivity, increased postural sway, lower levels of weekly walking activity, higher levels of depressive symptoms and psychotropic medication use were significantly associated with faller status (≥1 falls) in univariable analyses. Of these factors, poor visual contrast sensitivity, increased postural sway and psychotropic medication use were found to be significant independent predictors of falls in multivariable analysis while controlling for age and sex. No measures of cognitive function were associated with falls.

Conclusions

Poor visual contrast sensitivity, impaired balance and psychotropic medication use predicted falls in community-dwelling people with MCI. These risk factors may be amenable to intervention, so these factors could be carefully considered in fall prevention programs for this population.

BASE: Pragmatic Injury Prevention for Practitioners

Unintentional injury remains a leading health problem in developed nations, making injury prevention imperative. Practitioners are primary stakeholders in the injury prevention process but rarely can devote significant time to complicated prevention efforts. Furthermore, theory-based approaches to support injury prevention are less common than atheoretical approaches. We propose a simple method for injury prevention grounded in concepts found in antecedent models. Barriers, attitudes, social context, and environmental factors (or BASE) are suggested as a simple injury prevention model practitioners can follow when working with patients. We present each component of BASE and offer examples of how the approach can be applied to risk factors associated with several types of injury risk behavior.

Quality of life and cognitive assessment in healthy older Asian people with early and moderate chronic kidney disease: The NAHSIT 2013–2016 and validation study

Background

Taiwan has the highest prevalence of chronic kidney disease (CKD). Impaired cognition and quality of life are significant phenomena in the late stages of CKD. We sought to obtain an overview and the attributable effect of impaired glomerular filtration on multiple domains in cognition and dimensions of quality of life for community-based healthy older adults in Taiwan.

Methods

The study was derived from the Nutrition and Health Survey in Taiwan (NAHSIT) 2013–2016, a nationwide cross-sectional study conducted to sample healthy, community-based older adults aged ≥65 years in Taiwan. Participants were categorized into four CKD groups: CKD stage 1, stage 2, stages 3a and 3b, and stages 4–5. The Mini-Mental State Examination (MMSE) and the QoL questionnaire derived from the 12-item Short Form Health Survey (SF-12) were measured. Generalized linear mixed models (GLMMs) and principal component regressions were employed for the analysis and validation, respectively.

Results

Participants with moderate CKD (stages 3a and 3b) showed deficits in global MMSE, domain orientation to time, calculation, complex commands, and role-physical and vitality in QoL questionnaires. In GLMMs, impaired eGFR per 30 mL/min/1.73 m² was associated with lower global MMSE scores (β = -0.807, standard error [SE] = 0.235, P = 0.0007), domain orientation to time (β = -0.155, SE = 0.047, P = 0.0011), calculation (β = -0.338, SE = 0.109, P = 0.0020), complex commands (β = -0.156, SE = 0.079, P = 0.0494), and role-physical (β = -2.219, SE = 0.779, P = 0.0046) dimensions of QoL.

Conclusions

Elderly Han Chinese adults with moderately impaired renal filtration could manifest cognitive deficits in orientation to time, calculation, and impaired quality of life in physical role functioning.

A survey of nurses, physiotherapists and occupational therapists in mobility care and gait aid use for hospital patients with dementia

This study described mobility care practice of nurses, physiotherapists and occupational therapists and gait aid use for hospital patients with dementia. Two surveys, tailored to staff mobility care roles were distributed in Australian hospitals. Physiotherapists and occupational therapists were asked additional questions regarding assessments and factors for prescribing gait aids to patients with dementia. Descriptive statistics for closed-ended and summative content analyses for open-ended questions were undertaken. Nurses (n=56), physiotherapists (n=11) and occupational therapists (n=23) used various practices to ensure ambulation safety for patients with dementia. Nurses and occupational therapists commonly referred patients with dementia to physiotherapists for mobility and gait aid assessments. Therapists predominantly considered the severity of dementia, the person's learning ability and mobility history in deciding about gait aid use. Exploring ways to strengthen nursing and health professional education, and inter-professional practice for safe mobility in patients with dementia, with and without gait aids, could be helpful.

Nurse-led home modification interventions for community-dwelling older adults with dementia and their impact on falls prevention

This quasi-experimental study aimed to investigate the effects of nurse-led home modification interventions on the family members of home-dwelling older adults with dementia. The sample consisted of 42 older adults diagnosed with dementia and their family members. A number of validated tools were used. Three home visits were undertaken, a training package with family members was instigated, and the patients were followed up for a 6-month period. It was determined that there was a decrease in falls in the first 3-month period (p=0.002). The number of falls in the second 3-month period was lower in the older adults who had their homes modified (p=0.000). Family-centred, nurse-led home-modification interventions can be effective in the prevention and reducing of falls in older adults with dementia.