Hospitalization Resource Use and Costs Before and After TIA and Stroke- Results from a Population-Based Cohort Study (OXVASC)

Mar 1, 2013, 00:00 AM
10.1016/j.jval.2012.10.013
https://www.valueinhealthjournal.com/article/S1098-3015(12)04166-6/fulltext
Section Title : Economic Evaluation
Section Order : 5
First Page : 280

Objectives

High hospitalization rates, prolonged length of stay, and increased risks of subsequent events mean a steep increase in health care usage after stroke. No study, however, has examined to what extent increased costs after transient ischemic attack (TIA) or stroke are due to hospitalizations for the initial event, recurrent events, and/or nonvascular hospitalizations, and how costs compare with the year prior to the event.

Methods

We studied patients in a population-based cohort study (Oxford Vascular Study) in the United Kingdom from 2003 to 2007. Hospitalization and cost details were obtained from patients’ individualized Hospital Episode Statistics records.

Results

A total of 295 incident TIA and 439 incident stroke patients were included. For patients with stroke, average costs increased from £1437 in the year pre-event to £6629 in the year post-event (P0.0001). Patients with TIA incurred nonsignificantly higher costs due to hospitalizations linked to subsequent vascular events (£774) than for hospitalizations linked to the index TIA (£720).

Conclusions

Hospital costs increased after TIA or stroke, primarily because of increased initial cerebrovascular hospitalizations. The finding that costs due to nonvascular diagnoses also increased after TIA or stroke appears, in part, to be explained by the miscoding of TIA/stroke-related hospitalizations in electronic information systems.

https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(12)04166-6&doi=10.1016/j.jval.2012.10.013
HEOR Topics :
  • Cost/Cost of Illness/Resource Use Studies
  • Economic Evaluation
  • Sensory System Disorders
  • Specific Diseases & Conditions
Tags :
  • cost analysis
  • health care utilization
  • regression modeling
  • stroke
Regions :
  • Africa
  • Eastern and Central Europe