2022
DOI: 10.3233/shti210952
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Inpatient Cost of Stroke Care in Greece: Preliminary Results of the Web-Based “SUN4P” Registry

Abstract: The aim of this study was to calculate the average operational cost per sub-type of stroke patient and to investigate cost drivers (e.g. ALoS, NIHSS score, age) correlated to cost. Methods: Direct medical costs (diagnostic imaging and clinical laboratory exams, overheads/bed cost, pharmaceuticals, ringers and other non-durables and inpatient rehabilitation) per patient were calculated from the providers’ (hospitals’) perspective. Resource use data derived from the “SUN4P” web-based registry and unit costs were… Show more

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Cited by 2 publications
(4 citation statements)
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“…Regarding non-healthcare costs, prior studies have extensively documented the impact of stroke on both patients and their relatives or informal caregivers’ productivity losses [ 8 , 12 , 19 ]. Our analysis corroborated these findings, revealing significant productivity loss within the first year following a stroke.…”
Section: Discussionmentioning
confidence: 99%
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“…Regarding non-healthcare costs, prior studies have extensively documented the impact of stroke on both patients and their relatives or informal caregivers’ productivity losses [ 8 , 12 , 19 ]. Our analysis corroborated these findings, revealing significant productivity loss within the first year following a stroke.…”
Section: Discussionmentioning
confidence: 99%
“…The major components that we took into consideration were: (i) Loss of patients’ productivity due to morbidity (absenteeism from work, early retirement, loss of work) (ii) Loss of patients’ productivity due to mortality (iii) Loss of family members’ productivity due to informal caregiving. To measure the loss of productivity due to morbidity and mortality, we employed the human capital approach [ 12 ].…”
Section: Methodsmentioning
confidence: 99%
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“…The cost of inpatient stroke care varies greatly depending on stroke type and diagnosis status. Linear regression analysis showed that the length of hospital stay was significantly correlated with cost (beta coefficient = 232, 95% CI = 220–243, p < 0.001) [ 14 ]. A comparative analysis of the outcomes of stroke patients in urban and rural hospitals in Australia found that patients admitted to rural hospitals were less likely to receive thrombolysis compared to urban hospitals (7.5% in rural hospitals vs. 12.7% in urban hospitals, p < 0.001), while it was also noted that fewer patients were discharged with a planned care appointment (61.3% in urban areas compared to 44.7% in rural areas, p < 0.001) [ 15 ].…”
Section: Introductionmentioning
confidence: 99%