Stroke unit care in a real-life setting: Can results from randomized controlled trials be translated into every-day clinical practice? an observational study of hospital data in a large australian population

Stroke

Volumn 40, Issue 1, 2009, Pages 10-17

  Gattellari, Melina ^a   Worthington, John ^b   Jalaludin, Bin ^b   Mohsin, Mohammed ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Liverpool Health Service   (Australia)

Author keywords

Health services; Mortality; Stroke

Indexed keywords

AGED; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL PRACTICE; COMORBIDITY; CONTROLLED STUDY; DEMOGRAPHY; FEMALE; GROUPS BY AGE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; LENGTH OF STAY; MALE; MEDICAL RECORD REVIEW; MORTALITY; NURSING CARE; POPULATION RESEARCH; PRIORITY JOURNAL; PROGNOSIS; STROKE UNIT; TREATMENT OUTCOME; AUSTRALIA; BRAIN ISCHEMIA; CLINICAL TRIAL; COHORT ANALYSIS; EMERGENCY HEALTH SERVICE; HOME CARE; INTENSIVE CARE UNIT; MIDDLE AGED; MULTICENTER STUDY; NURSING; NURSING HOME; OUTCOME ASSESSMENT; RANDOMIZED CONTROLLED TRIAL; STANDARD; STATISTICS; STROKE;

AGED; AGED, 80 AND OVER; AUSTRALIA; BRAIN ISCHEMIA; COHORT STUDIES; EMERGENCY MEDICAL SERVICES; FEMALE; HOME CARE SERVICES; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; MALE; MIDDLE AGED; MORTALITY; NURSING HOMES; OUTCOME ASSESSMENT (HEALTH CARE); RANDOMIZED CONTROLLED TRIALS AS TOPIC; STROKE; TREATMENT OUTCOME;

EID: 60549110069     PISSN: 00392499     EISSN: None     Source Type: Journal    
DOI: 10.1161/STROKEAHA.108.523548     Document Type: Article

References (24)

1. Stroke Unit Trialists' Collaboration. Organised inpatient (stroke unit) care for stroke. Cochrane Library. 2007:Issue 1.
2. AHA. Guidelines for the early management of adults with ischemic stroke. Stroke. 2007;38:1655.
3. Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change inpatients' care. Lancet. 2003;362:1225-1230.
4. Seenan P, Long M, Langhorne P. Stroke units in their natural habitat. Stroke. 2007;38:1886-1982.
5. Braithwaite J. Goulston K Turning the health system 90 degrees down under. Lancet. 2004;364:397-399.
6. Stroke services now. Available at: http://www.health.nsw.gov.au/gmct/ stroke/index.html. Accessed February 2, 2008.
7. Australian Bureau of Statistics Census Data. Available at: http://www. censusdata.abs.gov.au/ABSNavigation/prenav/ViewData?subaction = -producttype = Community%20Profiles&areacode = 1&action = 401& collection = Census&textversion = false&breadcrumb = PL&period = 2006&javascript=true&navmapdisplayed=true&. Accessed February 2, 2008.
8. New South Wales Health. Admitted Patient Data Collection 2000-2006. Centre for Epidemiology and Research of the NSW Department of Health. North Sydney, NSW, Australia.
9. th Revision, Australian Modification. Commonwealth of Australia 2000, Ed. II. National Centre for Classification in Health (Sydney).
10. Brameld KJ, Thomas MAB, Holman CDJ, Bass AJ, Rouse IL. Validation of linked administrative data on end-stage renal failure: application of record linkage to a clinical based population. Aust N Z J Public Health. 1999;23:464-467.
11. Henderson T, Shepheard J, Sundararajan V. Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006;44: 1011-1019.
12. Australian Institute of Health and Welfare (AIHW) 2006. Minimum dataset for Admitted Patient Care. Compliance evaluation 2001-2002 to 2003-2004. AIHW cat no. HSW 44. Health Services Series no. 28; 2006.
13. Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004;57:1288 -1294.
14. Hosmer DW, Lemeshow S. Applied logistic regression. Brisbane, Australia: John Wiley and Sons; 2001.
15. Liang KY, Zeger SL. Longitudinal data analysis using general linear models. Biometrika. 1986;73:13-22.
16. SPSS for Windows, Rel. 15.0.1.1. Chicago, IL: SPSS Inc; 2007.
17. SAS Institute Inc. SAS software, Version 9.1.3 of the SAS system for Windows. Copyright 2007. SAS institute Inc. SAS and all other SAS institute Inc. Product of services names are registered trademarks or trademarks of SAS Institute Inc. Cary, NC: SAS Institute Inc; 2007.
18. Australian Bureau of Statistics. 20680-Age by Sex-Time Series Statistics (1996, 2001, 2006 Census Years), New South Wales. Available at: www.abs.gov.au. Accessed April 16, 2008.
19. Australian Institute of Health and Welfare. Australian Hospital Statistics. Hospitals at a glance. Available at: http://www.aihw.gov.au/ hospitals/ ataglance/2004/index.cfm#s01. Accessed April 16, 2008.
20. Australian Bureau of Statistics. 2068.0-Age by Sex-Time Series Statistics (1996, 2001, 2006 Census Years), New South Wales. Available at: www.abs.gov.au. Accessed May 13, 2008.
21. Australian Institute of Health and Welfare (AIHW) 2006. Australian hospital statistics 2004-2005. AIHW cat. no. HSE 41. Canberra: AIHW Health Series no. 26. Available at: http://www.aihw.gov.au/hospitals. Accessed October 13, 2008.
22. Stegmayr B, AsplundK, Hulter-Asberg K, Norrving B, Peltonen M, Terent A, Wester PO. Stroke units in their natural habitat: can results of randomized trials be reproduced in routine clinical practice? Stroke. 1999;30:709-714.
23. Preen DB, Holman CDJ, Lawrence DM, Baynham NJ, Semmens JB. Hospital chart review provided more accurate comorbidity information than data from a general practitioner survey or an administrative database. J Clin Epidemiol. 2004;57:1295-1304.
24. Powell H, Lim LL, Heller RF. Accuracy of administrative data to assess comorbidity in patients with heart disease: an Australian perspective. J Clin Epidemiol. 2001;54:687-693.