Περίληψη:
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 retrieved from publically available sources and were assigned to resource use. Results: The sample comprised 6,282 inpatient days of 750 patients (mean age: 75.5±13.3 years) admitted from July 2019 to July 2021, in nine public hospitals. Mean length of stay was 8.4±7.6 days and mean total operational cost was calculated to €1,239.4 (from which 45% and 35% related to diagnostic exams and overheads/bed cost respectively). Mean cost related to hemorrhagic stroke patients that were discharged alive was calculated significantly higher compared to mean cost related to ischemic stroke patients who didn't undertake thrombolysis and were also discharged alive from the hospital (€2,155.2 vs. €945.2, p<0.001). Linear regression analysis revealed that length of stay was significantly correlated with cost (coefficient beta=232, 95% CI confidence interval = 220-243, p<0.001). Conclusions: These findings are in accordance with current evidence and should be thoroughly assessed to rationalize inpatient reimbursement rates in order to achieve improved value of care. © 2022 The authors and IOS Press.
Συγγραφείς:
Siskou, O.
Galanis, P.
Konstantakopoulou, O.
Karagkouni, I.
Tsampalas, E.
Garefou, D.
Alexopoulou, H.
Gamvroula, A.
Kalliontzakis, I.
Fragkoulaki, A.
Kouridaki, A.
Tountopoulou, A.
Kouzi, I.
Vassilopoulou, S.
Manios, E.
Mavraganis, G.
Ntaios, G.
Karagkiozi, E.
Louka, A.M.
Savopoulos, C.
Dimas, G.
Myrou, A.
Milionis, H.
Siopis, G.
Evaggelou, H.
Protogerou, A.
Samara, S.
Karapiperi, A.
Kakaletsis, N.
Gallos, P.
Papastefanatos, S.
Sourtzi, P.
Vemmos, K.
Korompoki, E.
Kaitelidou, D.
Λέξεις-κλειδιά:
Cost benefit analysis; Diagnosis; Medical imaging; Patient rehabilitation; Regression analysis; Websites, Cost drivers; Diagnostic imaging; Length of stay; Mean cost of hospitalization inpatient stroke care; Resource use; Stroke; Stroke care; Stroke patients; Unit cost; Web based, Hospitals, aged; cerebrovascular accident; Greece; hospital patient; hospitalization; human; Internet; length of stay; middle aged; register; very elderly, Aged; Aged, 80 and over; Greece; Hospitalization; Humans; Inpatients; Internet; Laboratories, Clinical; Length of Stay; Middle Aged; Registries; Stroke
