ABSTRACT
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 < 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 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.
ABSTRACT
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, co-morbidities, fall history, prescribed medications, hemi-neglect, cognition and functional independence (Barthel index). Falls were recorded with monthly diaries, and 6 and 12-month interviews. The association of pre-discharge factors with recurrent falls (>1 fall) was examined using univariable logistic regression. RESULTS: A total of 128 participants (mean age = 68.6, SD = 13.3) were recruited; 110 completed the 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.
