Abstract
Objectives: To assess predictive value of patient characteristics and severity of aneurysmal subarachnoid haemorrhage (SAH) patients for clinical outcomes, and thereby estimate risk-adjusted clinical outcomes and compare the outcomes across hospitals. Methods: We selected 256 aneurysmal SAH patients from eight teaching hospitals in Japan. The clinical outcomes of patients at the time of discharge were assessed by the Glasgow Outcome Scale (GOS). A multiple logistic regression analysis was performed to identify predictors for the GOS status at the time of discharge. The risk-adjusted proportion of patients with a favourable GOS outcome was then estimated for each facility and compared across hospitals. Results: The logistic regression analysis revealed that younger age (P < 0.001), patients with good World Federations of Neurological Surgeons grade at admission (P < 0.001) and absence of chronic renal failure or ischaemic heart disease as a comorbid condition (P < 0.001) were identified as significant predictors for favourable GOS outcome at the time of discharge among aneurysmal SAH patients (C statistic = 0.88). We found that one hospital had significantly better outcomes than the others. Conclusion: After comparison of risk-adjusted values across hospitals, the clinical management methods of the hospital that showed the best performance were examined and shared among providers.
| Original language | English |
|---|---|
| Pages (from-to) | 416-421 |
| Number of pages | 6 |
| Journal | Journal of Evaluation in Clinical Practice |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2008 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Health Policy
- Public Health, Environmental and Occupational Health
Fingerprint
Dive into the research topics of 'Comparisons of risk-adjusted clinical outcomes for patients with aneurysmal subarachnoid haemorrhage across eight teaching hospitals in Japan'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS