Recorded categories of non-principal diagnoses in Victorian public hospital transient ischaemic attack and stroke admissions

Health Information Management Journal

Volumn 37, Issue 3, 2008, Pages 33-44

  Nadathur, Shyamala G ^a  

^a MONASH MEDICAL CENTRE   (Australia)

Author keywords

Cerebral infarction; Cerebrovascular disorders; Coding; Comorbidity; Computerised; Data collection; Medical records systems; Risk factors; Stroke; Transient ischemic attack

Indexed keywords

AGE DISTRIBUTION; AGED; AUSTRALIA; CLASSIFICATION; COMORBIDITY; COMPARATIVE STUDY; ELECTRONIC MEDICAL RECORD; EPIDEMIOLOGY; FEMALE; HOSPITALIZATION; HUMAN; ISCHEMIC ATTACK, TRANSIENT; LENGTH OF STAY; MALE; MIDDLE AGED; MORTALITY; PUBLIC HOSPITAL; SEX RATIO; STATISTICS AND NUMERICAL DATA; STROKE;

AGE DISTRIBUTION; AGED; COMORBIDITY; FEMALE; HOSPITAL MORTALITY; HOSPITALIZATION; HOSPITALS, PUBLIC; HUMANS; ISCHEMIC ATTACK, TRANSIENT; LENGTH OF STAY; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MIDDLE AGED; SEX DISTRIBUTION; STROKE; VICTORIA;

EID: 55349124976     PISSN: 18333583     EISSN: 18333575     Source Type: Journal    
DOI: 10.1177/183335830803700305     Document Type: Review

References (34)

1. Anderson, C. S., Jamrozik, K. D. Burvill, P. W. Chakera, T. M. Johnson G. A. and Stewart-Wynne E. G. (1993). Ascertaining the true incidence of stroke: experience from the Perth Community Stroke Study, 1989-1990. Medical Journal of Australia 158(2): 80-84.
2. Australian Institute of Health and Welfare (AIHW) (2000). AIHW: National Health Data Dictionary, Version 9.0. Canberra, AIHW.
3. Bennett, S. A. and Magnus, P. (1994). Trends in cardiovascular risk factors in Australia. Results from the National Heart Foundation's Risk Factor Prevalence Study, 1980-1989. Medical Journal of Australia 161(9): 519-527.
4. Boruk, M., Chernobilsky, B., Rosenfeld, R.M. and Har-El, G. (2005). Age as a prognostic factor for complications of major head and neck surgery. Archives of Otolaryngology - Head and Neck Surgery 131(7): 605-609.
5. Braithwaite, J. and Westbrook J.I. (1996). Future health services managers' and health information managers' views on information technology: a pilot survey. Health Information Management 26(2): 82-87.
6. Chen, A.Y., Matson, L.K., Roberts, D. and Goepfert, H. (2001). The significance of comorbidity in advanced laryngeal cancer. Head and Neck 23(7): 566-572.
7. Collins, D., McConaghy D., McMahon, A., Howard, D., O'Neill, D. and McCormack, P.M. (2000). An acute stroke service: potential to improve patient outcome without increasing length of stay. Irish Medical Journal 93(3): 84-86.
8. Collins, T.C., Petersen, N.J., Menke, T.J. Souchek, J., Foster. W. and Ashton, C.M. (2003). Short-term, intermediate-term, and long-term mortality in patients hospitalized for stroke. Journal of Clinical Epidemiology 56(1): 81-87.
9. Davenport, R. J., Dennis, M.S. and Warlow, C.P. (1996). Effect of correcting outcome data for casemix: an example from stroke medicine. British Medical Journal 312(7045): 1503-1505.
10. DHS (2000). Victorian Additions to Australian Coding Standards - Effective 1 July 2000. Victorian Department of Human Services (VDHS). Available at: http://www.dhs.vic.gov.au/ahs/archive/hdss/vicadd20.htm (accessed 6 September 2008).
11. DHS (2001). Victorian Additions to Australian Coding Standards - Effective 1 July 2001. Victorian Department of Human Services (VDHS). Available at: http://www.dhs.vic.gov.au/ahs/archive/hdss/vicadd01.htm (accessed 6 September 2008).
12. Dunbabin, D. (1992). Cost-effective intervention in stroke. Pharmacoeconomics 2(6): 468-499.
13. Evers, S., Voss, G., Nieman, F., Ament, A., Groot, T., Lodder, J., Boreas, A. and Blaauw, G. (2002). Predicting the cost of hospital stay for stroke patients: the use of diagnosis related groups. Health Policy 61(1): 21-42.
14. Fischer, U., Arnold, M., Nedeltchev, K., Schoenenberger, R.A., Kappeler, L., Hollinger, P, Schroth, G., Ballinari, P. and Mattle, H.P. (2006). Impact of comorbidity on ischemic stroke outcome. Acta Neurologica Scandinavica 113(2): 108-113.
15. Johansen, H. L., Wielgosz, A.T., Nguyen, K. and Fry, R.N. (2006). Incidence, comorbidity, case fatality and readmission of hospitalized stroke patients in Canada. Canadian Journal of Cardiology 22(1): 65-71.
16. Johnston, S.C., Nguyen-Huynh, M.N., Schwarz, M.E., Fuller, K., Williams, C.E., Josephson, S.A., Hankey, G.J., Hart, R.G., Levine, S.R., Biller, J., Brown, R.D. Jr., Sacco, R.L., Kappelle, L.J., Koudstaal, P.J., Bogousslavsky, J., Caplan, L.R., van Gijn, J., Algra, A., Rothwell, P.M., Adams, H.P. and Albers, G.W. (2006). National Stroke Association guidelines for the management of transient ischemic attacks. Annals of Neurology 60(3): 301-313.
17. Kazmierski, R. (2006). Predictors of early mortality in patients with ischemic stroke. Expert Review of Neurotherapeutics 6(9): 1349-1362.
18. Kolominsky-Rabas, P. L., Weber, M., Gefeller, O., Neundoerfer, B. and Heuschmann, P.U. (2001). Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study. Stroke 32(12): 2735-2740.
19. Lee, A. H., Somerford, P.J. and Yau, K.K. (2003). Factors influencing survival after stroke in Western Australia. Medical Journal of Australia 179(6): 289-293.
20. Lee, P. R., Soffel, D. and Luft, H.S. (1992). Costs and coverage. Pressures toward health care reform. Western Journal of Medicine 157(5): 576-583.
21. Lefkovits, J., Davis, S.M., Rossiter, S.C., Kilpatrick, C.J., Hopper, J.L., Green, R. and Tress, B.M. (1992). Acute stroke outcome: effects of stroke type and risk factors. Australian and New Zealand Journal of Medicine 22(1): 30-35.
22. Mitka, M. (2007). Rapid diagnosis and treatment of TIAs help reduce recurrent stroke risk. The Journal of the American Medical Association 298(20): 2358-2359.
23. Monane, M., Kanter, D.S., Glynn, R.J. and Avorn, J. (1996). Variability in length of hospitalization for stroke. The role of managed care in an elderly population. Archives of Neurology 53(9): 875-880.
24. Nadathur, S.G. and Groom, A. (2006). Coding and DRG relationships in stroke and Transient Ischaemic Attack (TIA). Health Information Management Journal 35(1): 38-44.
25. Naessens, J. M., Leibson, C.L., Krishan, I. and Ballard, D.J. (1992). Contribution of a measure of disease complexity (COMPLEX) to prediction of outcome and charges among hospitalized patient. Mayo Clinic Proceedings 67(12): 1140-1149.
26. Norcini, J. J. (2005). Current perspectives in assessment: the assessment of performance at work. Medical Education 39(9): 880-889.
27. Piccirillo, J. F. (2000). Importance of comorbidity in head and neck cancer. Laryngoscope 110(4): 593-602.
28. Roe, C. J., Kulinskaya, E., Brisbane, M., Brown, R. and Barter, C. (1996). A methodology for measuring clinical outcomes in an acute care teaching hospital. Journal of Quality in Clinical Practice 16(4): 203-214.
29. Royle, M., Callen, J. and Craig, M. (2004). Should there be an age split for stroke DRGs? Analysing a large clinical data set of a principal teaching hospital over a five-year period. Health Information Management 32(1): 5-12.
30. Sacco, R.L. (2004). Risk factors for TIA and TIA as a risk factor for stroke. Neurology 62 (8 Suppl 6): S7-11.
31. Sacco, R.L., Adams, R., Albers, G., Alberts, M.J., Benavente, O., Furie, K., Goldstein, L.B., Gorelick, P., Halperin, J., Harbaugh, R., Johnston, S.C., Katzan, I., Kelly-Hayes, M., Kenton, E.J., Marks, M., Schwamm, L.H. and Tomsick, T. (2006). Guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack: a statement for healthcare professionals from the American Heart Association/ American Stroke Association Council on Stroke: co-sponsored by the Council on Cardiovascular Radiology and Intervention: the American Academy of Neurology affirms the value of this guideline. Stroke 37(2): 577-617.
32. Schulz, U.G. and Rothwell, P.M. (2003). Differences in vascular risk factors between etiological subtypes of ischemic stroke: importance of population-based studies. Stroke 34(8): 2050-2059.
33. Taheri, P.A., Butz, D.A. and Greenfield, L.J. (1999). Paying a premium: How patient complexity affects costs and profit margins. Annals of Surgery 229(6): 807-811; discussion 811-814.
34. Wee, J.Y. and W. M. Hopman (2005). Stroke impairment predictors of discharge function, length of stay, and discharge destination in stroke rehabilitation. American Journal of Physical Medicine and Rehabilitation 84(8): 604-612.