Falls related EvEnts in the first year after StrokE in Ireland: results of the multi-centre prospective FREESE cohort study

Introduction: Falls are common post-stroke adverse events. This study aimed to describe the first-year falls incidence, circumstances and consequences among persons discharged home after stroke in Ireland, and to examine the association between potential risk factors and recurrent falls. Patients and Methods: Patients with acute stroke and planned home-discharge were recruited consecutively from five hospitals. Variables recorded pre-discharge included: age, stroke severity, comorbidities, fall history, prescribed medications, hemi-neglect, cognition, and functional independence (Barthel Index). Falls were recorded with monthly diaries, and six and 12-month interviews. The association of pre-discharge factors with recurrent falls (>1 fall) was examined using univariable logistic regression. Results: 128 participants (mean age=68.6, SD=13.3) were recruited. 110 completed 12-month follow-up. The first-year falls-incidence was 44.5% (95%CI=35.1-53.6) with 25.6% falling repeatedly (95%CI=18.5- 34.4). Fallers experienced 1-18 falls (median=2) and five reported fractures. 47% of fallers experienced at least one fall outdoors. Only 10% of recurrent fallers had bone health medication prescribed at discharge. Lower Barthel Index scores (<75/100, RR=4.38, 1.64-11.72) and psychotropic medication prescription (RR=2.10, 1.13-3.91) were associated with recurrent falls. Discussion: This study presents prospectively collected information about falls circumstances. It was not powered for multivariable analysis of risk factors. Conclusion: One quarter of stroke survivors discharged to the community fall repeatedly and mostly indoors in the first year. Specific attention may be required for individuals with poor functional independence or those on psychotropic medication. Future falls-management research in this population should explore falls in younger individuals, outdoor as well as indoor falls and post-stroke bone health status

First year post-stroke healthcare costs and fall-status among those discharged to the community

  Introduction: Falls are common post-stroke events but their relationship with healthcare costs is unclear. The aim of this study was to examine the relationship between healthcare costs in the first year after stroke and falls among survivors discharged to the community. Patients and methods: Survivors of acute stroke with planned home discharges from five large hospitals in Ireland were recruited. Falls and healthcare utilisation data were recorded using inpatient records, monthly calendars and post-discharge interviews. Cost of stroke was estimated for each participant from hospital admission for one year. The association of fall-status with overall cost was tested with multivariable linear regression analysis adjusting for pre-stroke function, stroke severity, age and living situation. Results: A total of 109 stroke survivors with complete follow-up data (mean age = 68.5 years (SD = 13.5 years)) were included. Fifty-three participants (49%) fell following stroke, of whom 28 (26%) had recurrent falls. Estimated mean total healthcare cost was €20,244 (SD=€23,456). The experience of one fall and recurrent falls was independently associated with higher costs of care (p = 0.02 and p Discussion: The observed relationship between falls and cost is likely to be underestimated as aids and adaptions, productivity losses, and nursing home care were not included. Conclusion: This study points at differences across fall-status in several healthcare costs categories, namely the index admission, secondary/tertiary care (including inpatient re-admissions) and allied healthcare. Future research could compare the cost-effectiveness of inpatient versus community-based fall-prevention after stroke. Further studies are also required to inform post-stroke bone-health management and fracture-risk reduction.</p

First year post-stroke healthcare costs and fall-status among those discharged in the community

Introduction: Falls are common post-stroke events but their relationship with healthcare costs is unclear. The aim of this study was to examine the relationship between healthcare costs in the first year after stroke and falls among survivors discharged to the community. Patients and Methods: Survivors of acute stroke with planned home-discharges from five large hospitals in Ireland were recruited. Falls and healthcare utilisation data were recorded using inpatient records, monthly calendars and post-discharge interviews. Cost of stroke was estimated for each participant from hospital admission for one year. The association of fall-status with overall cost was tested with multivariable linear regression analysis adjusting for pre-stroke function, stroke severity, age and living situation. Results: 109 stroke survivors with complete follow-up data (mean age=68.5 years (SD=13.5 years)) were included. 53 participants (49%) fell following stroke, of whom 28 (26%) had recurrent falls. Estimated mean total healthcare cost was €20,244 (SD=€23,456). The experience of one fall and recurrent falls was independently associated with higher costs of care (p=0.02 and p<0.01, respectively). Discussion: The observed relationship between falls and cost is likely to be underestimated as aids and adaptions, productivity losses, and nursing home care were not included. Conclusion: This study points at differences across fall-status in several healthcare costs categories, namely the index admission, secondary/ tertiary care (including inpatient re-admissions) and allied health care. Future research could compare the cost-effectiveness of inpatient versus communitybased fall-prevention after stroke. Further studies are also required to inform post-stroke bone-health management and fracture-risk reduction

Validation of two risk-prediction models for recurrent falls in the first year after stroke: a prospective cohort study

Background: Several multivariable models have been derived to predict post-stroke falls. These require validation before integration into clinical practice. The aim of this study was to externally validate two prediction models for recurrent falls in the first year post-stroke using an Irish prospective cohort study. Methodology: Stroke patients with planned home-discharges from five hospitals were recruited. Falls were recorded with monthly diaries and interviews six and 12 months post-discharge. Predictors for falls included in two risk-prediction models were assessed at discharge. Participants were classified into risk-groups using these models. Model 1, incorporating inpatient falls-history and balance, had a six-month outcome. Model 2, incorporating inpatient near-falls history and upper limb function, had a twelve-month outcome. Measures of calibration, discrimination (area under the curve (AUC)) and clinical utility (sensitivity/ specificity) were calculated. Results: 128 participants (mean age=68.6 years, SD=13.3) were recruited. The fall status of 117 and 110 participants was available at six and 12 months respectively. Seventeen and 28 participants experienced recurrent falls by these respective timepoints. Model 1 achieved an AUC=0.56 (95% CI 0.46–0.67), sensitivity=18.8% and specificity=93.6%. Model 2 achieved AUC=0.55 (95% CI 0.44–0.66), sensitivity=51.9% and specificity=58.7%. Model 1 showed no significant difference between predicted and observed events (Risk Ratio (RR)=0.87, 95% CI 0.16–4.62). In contrast, model 2 significantly over-predicted fall events in the validation cohort (RR=1.61, 95% CI 1.04–2.48). Conclusions: Both models showed poor discrimination for predicting recurrent falls. A further large prospective cohort study would be required to derive a clinicallyuseful falls-risk prediction model for a similar population