posted on 2018-10-08, 10:30authored byMary E. Walsh, Jan Sorensen, Rose GalvinRose Galvin, David J.P. Williams, Joseph A. Harbison, Sean Murphy, Ronan Collins, Dominick J.H. McCabe, Morgan Crowe, Frances N. Horgan
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.
Funding
Using the Cloud to Streamline the Development of Mobile Phone Apps