Estimating the impact of stroke unit care in a whole population: an epidemiological study using routine data

Langhorne, P. et al. (2010) Estimating the impact of stroke unit care in a whole population: an epidemiological study using routine data. Journal of Neurology, Neurosurgery and Psychiatry, 81(2), pp. 1301-1305. (doi:10.1136/jnnp.2009.195131)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1136/jnnp.2009.195131

Abstract

Background and purpose Randomised trials indicate that organised inpatient (stroke unit) care has an important impact on patient outcomes with an absolute risk difference (ARD) of 3% for survival and 5% for returning home. However, it is unclear what impact this complex intervention actually has in routine practice. A comprehensive national dataset was used to study the impact of stroke unit implementation. Methods The Scottish linked discharge database was used to identify all patients admitted to hospital with an incident stroke. Analyses compared case fatality and discharge home (adjusted for age, sex, deprivation and comorbidity) for hospitals with or without a stroke unit during four consecutive study periods: 1986–1990, 1991–1995, 1996–2000 and 2001–2005. Results During the study period, the percentage of admissions to hospitals that had a stroke unit increased from 0% to 87%, the 6 month case fatality decreased from 45% to 29% and discharges home increased from 46% to 59%. Adjusted ORs (95% CI) for case fatality (stroke unit versus no unit) in each study period were as follows: not calculable (no units before 1991), 0.83 (0.78–0.89), 0.90 (0.86–0.94) and 0.87 (0.82–0.91). These equate to an ARD of 3.0% over the whole study period. Equivalent data for discharge home indicated an increased odds of discharge home: not calculable, 1.23 (1.15–1.31), 1.15 (1.10–1.21) and 1.17 (1.11–1.23) with an overall ARD of 5%. Conclusions These results indicate a positive impact of a policy of stroke unit care on case fatality and discharge home. The estimated impact, after adjusting for case mix, appears very similar to that calculated using clinical trial data.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:MacIntyre, Dr Kate and Jhund, Dr Pardeep and Langhorne, Professor Peter and Briggs, Professor Andrew and Gillies, Dr Michelle and Lewsey, Professor James and Capewell, Dr Simon and McMurray, Professor John and Walters, Professor Matthew
Authors: Langhorne, P., Lewsey, J. D., Jhund, P. S., Gillies, M., Chalmers, J. W. T., Redpath, A., Briggs, A., Walters, M., Capewell, S., McMurray, J. J. V., and MacIntyre, K.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Public Health
College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Health Economics and Health Technology Assessment
College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Centre for Population and Health Sciences
Journal Name:Journal of Neurology, Neurosurgery and Psychiatry
ISSN:0022-3050
Published Online:02 July 2010

University Staff: Request a correction | Enlighten Editors: Update this record