Morag E. Taylor

Gait parameter risk factors for falls under simple and dual task conditions in cognitively impaired older people

Impaired gait may contribute to the increased rate of falls in cognitively impaired older people. We investigated whether gait under simple and dual task conditions could predict falls in this group. The study sample consisted of 64 community dwelling older people with mild to moderate cognitive impairment. Participants walked at their preferred speed under three conditions: (a) simple walking, (b) walking while carrying a glass of water and (c) walking while counting backwards from 30. Spatiotemporal gait parameters were measured using the GAITRite(®) mat. Falls were recorded prospectively for 12months with the assistance of carers. Twenty-two (35%) people fell two or more times in the 12month follow-up period. There was a significant main effect of gait condition and a significant main effect of faller status for mean value measures (velocity, stride length, double support time and stride width) and for variability measures (swing time variability and stride length variability). Examination of individual gait parameters indicated that the multiple fallers walked more slowly, had shorter stride length, spent longer time in double support, had a wider support width and showed more variability in stride length and swing time (p<0.05). There was no significant interaction between gait condition and faller status for any of the gait variables. In conclusion, dual task activities adversely affect gait in cognitively impaired older people. Multiple fallers performed worse in each gait condition but the addition of a functional or cognitive secondary task provided no added benefit in discriminating fallers from non-fallers with cognitive impairment.

Older people presenting to the emergency department after a fall: a population with substantial recurrent healthcare use

Objectives To document patient characteristics, care pathways, healthcare use and costs of fall-related emergency department (ED) presentations by older adults. Participants and methods All fallers aged ≥70 years, presenting to the ED of a 450-bed metropolitan university hospital in Sydney, Australia (1 April 2007 through 31 March 2009) were studied. Data were collected from the ED electronic information system, ED clinical records and the hospital electronic information system database. Population estimates for 2008 for the local areas served by the hospital were used to estimate ED presentation rates. Results Of 18 902 all-cause ED presentations, 3220 (17.0%) were due to a fall. Among fallers, 35.4% had one or more ED presentations and 20.3% had had one or more hospital admissions in the preceding 12 months. Fall-related ED presentation led directly to hospital admission in 42.7% of the cases, the majority of which (78.0%) received acute care only (length of stay—14.4 days for men and 13.7 days for women) and the remaining cases underwent further inpatient rehabilitation (length of stay 35.6 days for men and 30.1 days for women). After hospitalisation, 9.5% of patients became first-time residents of long-term care facilities. All fall-related ED presentations and hospitalisations cost a total of A

DEVELOPMENT OF A TOOL FOR PREDICTION OF FALLS IN REHABILITATION SETTINGS (PREDICT_FIRST): A PROSPECTIVE COHORT STUDY

11 241 387 over the study period. Conclusions Older fallers presenting to the ED consume significant healthcare resources and are an easily identifiable high-risk population. They may benefit from systematic fall-risk assessment and tailored fall-prevention interventions.

Neuropsychological, Physical, and Functional Mobility Measures Associated With Falls in Cognitively Impaired Older Adults

OBJECTIVE To develop and internally validate a simple falls prediction tool for rehabilitation settings. DESIGN Prospective cohort study. PARTICIPANTS A total of 533 inpatients. METHODS Possible predictors of falls were collected from medical records, interview and physical assessment. Falls during inpatient stays were monitored. RESULTS Fourteen percent of participants fell. A multivariate model to predict falls included: male gender (odds ratio (OR) 2.70, 95% confidence interval (CI) 1.57-4.64), central nervous system medications (OR 2.50, 95% CI 1.47-4.25), a fall in the previous 12 months (OR 2.21, 95% CI 1.07-4.56), frequent toileting (OR 2.14, 95% CI 1.27-3.62) and tandem stance inability (OR 2.00, 95% CI 1.11-3.59). The area under the curve for this model was 0.74 (95% CI 0.68-0.80). The Predict_FIRST tool is a unit weighted adaptation of this model (i.e. 1 point allocated for each predictor) and its area under the curve was 0.73 (95% CI 0.68-0.79). Predicted and actual falls risks corresponded closely. CONCLUSION This tool provides a simple way to quantify the probability with which an individual patient will fall during a rehabilitation stay.

Gait impairment and falls in cognitively impaired older adults: an explanatory model of sensorimotor and neuropsychological mediators

BACKGROUND Older people with cognitive impairment have an elevated fall risk, with 60% falling annually. There is a lack of evidence for fall prevention in this population, in part due to limited understanding of risk factors. This study examined fall risk in older people with cognitive impairment with an emphasis on identifying explanatory and modifiable risk factors. METHODS One hundred and seventy-seven community-dwelling older people with mild-moderate cognitive impairment (Mini-Mental State Examination 11-23/Addenbrookes Cognitive Examination-Revised <83) underwent neuropsychological, physical, and functional assessments. Falls were recorded prospectively for 12 months with the assistance of carers. RESULTS Of the 174 participants available to follow-up, 111 (64%) fell at least once and 71 (41%) at least twice. Higher fall rates were associated with slower reaction time, impaired balance (sway on floor and foam, semitandem, near-tandem, tandem stance), and reduced functional mobility (co-ordinated stability, timed up-and-go, steps needed to turn 180°, sit-to-stand, gait velocity). Higher fall rates were also associated with increased medication use (central nervous system, total number) and poorer performances in cognitive (Addenbrookes Cognitive Examination-Revised: visuospatial domain, cube drawing; Trail-Making Test) and psychological (Geriatric Depression Scale, Goldberg Anxiety Scale, Falls Efficacy Scale-International) tests. Multivariate analysis identified increased sway on foam, co-ordinated stability score, and depressive symptoms to be significantly and independently associated with falls while controlling for age, years of education, and Addenbrookes Cognitive Examination-Revised score. CONCLUSIONS This study identified several risk factors of falls in older people with cognitive impairment, a number of which are potentially modifiable. Future research involving targeted interventions addressing medication use, balance, mood, and functional performance may prove useful for fall prevention in this population.

Physiological fall risk factors in cognitively impaired older people: a one-year prospective study.

OBJECTIVES to explore the associations between spatiotemporal gait parameters and falls in cognitively impaired older people and to investigate whether sensorimotor and neuropsychological factors mediate the association between gait performance and falls. DESIGN prospective cohort study with a 1 year follow-up. SETTING community-dwelling sample. PARTICIPANTS sixty-four participants (62-96 years of age) with cognitive impairment. MEASUREMENTS gait analysis and sensorimotor and neuropsychological functions were assessed in all participants. Falls were identified prospectively for 1 year. RESULTS multiple fallers (≥2 falls) had significantly slower gait velocity, shorter stride length, greater double support time and increased step length variability in univariate analyses. Multivariate logistic regression indicated that the relationship between gait and falls was mediated primarily by sensorimotor function and to a lesser extent by neuropsychological performance. CONCLUSION the findings indicate that slow and variable gait patterns increase the risk of falls in cognitively impaired older adults. Further, the association between gait and falls seems to be mediated in large by reduced sensorimotor functioning. Further research is needed to investigate whether interventions aimed at improving gait and/or sensorimotor fall risk factors, such as strength and balance, can prevent falls in cognitively impaired older adults.

A simple tool predicted probability of falling after aged care inpatient rehabilitation

Background/Aims: Cognitively impaired older people are at twice the risk of falls compared to cognitively intact, with approximately 60% falling once or more per year. This study aimed to investigate sensorimotor and balance risk factors for falls in cognitively impaired older people. Methods: 177 community-dwelling older people with mild to moderate cognitive impairment (Mini-Mental State Examination < 24, Addenbrooke’s Cognitive Examination-Revised < 83) were assessed using the Physiological Profile Assessment (PPA). Falls were recorded prospectively for 12 months using monthly calendars with the assistance of carers. Results: Seventy-one participants (43%) fell ≥2 times in the follow-up period. Impaired simple reaction time, postural sway, leaning balance and increased PPA fall risk score were significantly associated with multiple falls. The area under the receiver-operating characteristic curve for the PPA model including tests of vision, proprioception, knee extension strength, reaction time, postural sway and leaning balance was 0.75 (95% confidence interval: 0.68–0.83). Conclusion: These findings indicate poor performance on physiological fall risk factors, particularly balance, increases the risk of falls in older cognitively impaired people.

Self-reported chronic pain is associated with physical performance in older people leaving aged care rehabilitation.

OBJECTIVE To develop and internally validate a falls prediction tool for people being discharged from inpatient aged care rehabilitation. STUDY DESIGN AND SETTING Prospective cohort study. Possible predictors of falls were collected for 442 aged care rehabilitation inpatients at two hospitals. RESULTS One hundred fifty participants fell in the 3 months after discharge from rehabilitation (34% of 438 with follow-up data). Predictors of falls were male gender (odds ratio [OR] 2.32, 95% confidence interval [CI]=1.00-4.03), central nervous system medication prescription (OR 2.04, 95% CI=1.00-3.30), and increased postural sway (OR 1.93, 95% CI=1.00-3.26). This three-variable model was adapted for clinical use by unit weighting (i.e., a score of 1 for each predictor present). The area under the receiver operating characteristic curve (AUC) for this tool was 0.69 (95% CI=0.64-0.74, bootstrap-corrected AUC=0.69). There was no evidence of lack of fit between prediction and observation (Hosmer-Lemeshow P=0.158). CONCLUSION After external validation, this simple tool could be used to quantify the probability with which an individual will fall in the 3 months after an aged care rehabilitation stay. It may assist in the discharge process by identifying high-risk individuals who may benefit from ongoing assistance or intervention.

Mobility-related disability three months after aged care rehabilitation can be predicted with a simple tool: an observational study

Background/objectives The impact of pain on the physical performance of patients in aged care rehabilitation is not known. The study sought to assess 1) the prevalence of pain in older people being discharged from inpatient rehabilitation; 2) the association between self-reported pain and physical performance in people being discharged from inpatient rehabilitation; and 3) the association between self-reported pain and physical performance in this population, after adjusting for potential confounding factors. Methods This was an observational cross-sectional study of 420 older people at two inpatient aged care rehabilitation units. Physical performance was assessed using the Lower Limb Summary Performance Score. Pain was assessed with questions about the extent to which participants were troubled by pain, the duration of symptoms, and the impact of chronic pain on everyday activity. Depression and the number of comorbidities were assessed by questionnaire and medical file audit. Cognition was assessed with the Mini-Mental State Examination. Results Thirty percent of participants reported chronic pain (pain lasting more than 3 months), and 17% reported that this pain interfered with daily activities to a moderate or greater extent. Chronic pain (P=0.013) and chronic pain affecting daily activities (P<0.001) were associated with a poorer Lower Limb Summary Performance Score. The relationship between chronic pain affecting daily activities and Lower Limb Summary Performance Score remained significant (P=0.001) after adjusting for depression, age, comorbidities, and Mini-Mental State Examination score. This model explained 10% of the variability in physical performance. Conclusion One-third of participants reported chronic pain, and close to one-fifth reported that this pain interfered with daily activities. Chronic pain was associated with impaired physical performance, and this relationship persisted after adjusting for likely confounding factors.

Validation of the Iconographical Falls Efficacy Scale in Cognitively Impaired Older People

QUESTIONS What is the prevalence of mobility-related disability 3 months after discharge from inpatient aged care rehabilitation? Can a clinical tool predict which individuals will experience mobility-related disability 3 months after discharge? DESIGN Prospective cohort study. PARTICIPANTS 442 patients newly admitted to two large inpatient rehabilitation units. OUTCOME MEASURES Predictors were co-morbidities; pre-admission mobility; and discharge cognition, pain, vision, muscle strength, and mobility. The outcome of interest was inability to climb a flight of stairs and walk 800 m without assistance. RESULTS 157 participants (36%) were unable to climb a flight of stairs and walk 800 m without assistance prior to hospital admission. Three months after discharge, 254 participants (59%) were unable to complete both tasks. A simple clinical prediction tool based on pre-admission ability to complete the two tasks, co-morbidity on admission, and pre-discharge measurement of: leaning while standing (Maximal Balance Range test), low-contrast visual acuity, and knee extension strength, had good discrimination (area under the receiver-operating characteristic curve [AUC] = 0.77, 95% CI 0.72 to 0.81, bootstrap adjusted AUC = 0.77) and was well calibrated. This tool provided substantially better (p < 0-001) discrimination than pre-admission ability alone (AUC = 0.64, 95% CI 0.60 to 0.68, bootstrap adjusted AUC = 0.64). The observed risk of persisting disability ranged from 13% in those with no predictors to 93% in those with 5 predictors. CONCLUSION Mobility-related disability 3 months after discharge from inpatient rehabilitation is common and can be predicted easily with a clinical tool.