Abstract
Resource-oriented patient classification systems are supposed to increase the efficiency of health care services by improving the information on the services provided — in economic terms, on the ’products’ — and therefore on the resources needed. Patient classification systems are thus not restricted to a specific field of health care. Rather, they may apply to different fields, such as:
-
Hospital care
-
Ambulatory (outpatient) care
-
Nursing home care
-
Rehabilitation facilities
This list displays a wide field of possible applications. It also indicates a possible restriction: Classification concepts designed to fit a specific sector of health care may be useful within this context, but may not be able to produce a comprehensive view on health care across sectors and institutions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Averill RF (1989) Evolution of DRGs and clinical information systems. Soz Praeventivmed 34 (4): 185–187
Barnes CA (1985) Staging: a clinically oriented dimension of case mix. J AMR A (January): 22–27
Brewster HC (1985) MEDISGRPS: a clinically based approach to classifying hospital patients at admission. Inquiry 22: 377–387
Carter GM, Ginsburg PB (1985) The medicare case mix index increase. Health Care Financing Administration, Santa Monica (Rand publ R3292 )
Farley DE (1988) Trends in hospital average length of stay, casemix, and discharge rates, 1980–85. National Center for Health Services Research and Health Care Technology Assessment, Hospitals Studies Program, Research Note 11. (DHHS publ no (PHS) 88–3420 )
Fetter RB, Freeman JL (1986) Diagnoses related groups: production line management within hospitals. Acad Management Rev 11 (1) [Suppl]
Fetter RB, Averill RF, Lichtenstein JL, Freeman JL (1984) Ambulatory visit groups: a framework for measuring productivity in ambulatory care. Health Sery Res 19 (4): 415–437
Fries BF, Cooney LM (1985) Resource utilization groups: a patient classification system for long-term care. Med Care 23 (2): 110–122
Fuhs PA, Martin JB, Hancock WM (1979) The use of length of stay distributions to predict hospital discharges. Med Care 17 (4): 355–368
Health Care Financing Administration (1983) Health care financing, grants and contracts report, the new ICD-9-CM diagnosis-related groups classification scheme. US Department of Health and Human Services, Baltimore
Hodgson TA, Meiners MR (1982) Cost-of-illness methodology: a guide to current practices and procedures. M M F Q 60: 429–462
Horn SD, Horn RA (1986) Reliability and validity of the severity of illness index. Med Care 24 (2): 159–178
Hombrook MC (1982) Hospital case mix: its definition, measurement and use: p 1. The conceptual framework. Med Care Rev 39 (1)
Hughes JS, Lichtenstein J, Magno L, Fetter RB (1989) Improving DRGs: use of procedure codes for assisted respiration to adjust for complexity of illness. Med Care 27 (7): 750–757
Katz S, Ford AB, Moscowitz RW, Jackson BA, Jaffe WM (1963) Studies of illness in the aged–the index of ADL: a standardized measure of biological and physiological function. J AMA 185 (1): 914–915
Kitagawa EM (1955) Components of difference between two rates. J AS A 50 (December): 1168–1194
Leidl R (1987) Die fallbezogene Spezifikation des Krankenhausprodukts. Ein methodischer und empirischer Beitrag. Springer, Berlin Heidelberg New York
Leidl R (1988) Ökonomische Aspekte. In: Jäger H (ed) AIDS und HIV-Infektionen. Diagnostik, Klinik, Behandlung. Handbuch und Atlas für Klinik und Praxis. Ecomed, Munich, pp 1–14 (Handbuch und Atlas für Klinik und Praxis, vol 11–3 )
Lloyd SS, Rissing P (1985) Physician and coding errors in patient records. J A M A 254 (10): 1330–1336
Patel M, Mottaz A, Blanc T, Schenker L (1988) Study of cost by type of diagnosis in Switzerland. Health Policy 9 (2): 167–175
Rodrigues JM (1988) Overview of European DRG development. 2nd International Conference on the Management and Financing of Hospital Services. Yale University, Sydney
Santos-Eggimann B, Paccaud F (1989) Minimal data requirements for a continuous monitoring of the quality of care using the DRG classification. Soz Praeventivmed 34 (4): 188–191
Simborg DW (1981) DRG creep, a new hospital acquired disease. N Engl J Med 304 (26): 1602–1604
Wagner DP, Draper EH (1984) Acute physiology and chronic health evaluation ( APACHE II) and medicine reimbursement. Health Care Financing Review [Suppl]: 91–105
Weiner SL, Maxwell JH, Sapolsky HM, Dunn DL, Hsiao WC (1987) Economic incentives and organizational realities: managing hospitals under DRGs. Med Q 65 (4): 463–487
Wiley MM, Leidl R (1989) Performance measurement in one health care sector: the application of diagnosis related groups in hospitals. Findings from a World Health Organization planning meeting, Cardiff, 23–25 November 1988. In: Leidl R, John J, Schwefel D (eds) Performance indicators in health care. Gesellschaft für Strahlen-und Umweltforschung, pp 17–24 (GSF-Bericht, vol 8 )
Young WW (1984) Incorporating severity of illness and comorbidity in case mix measurement. H C F R (Annu Suppl) November: 23–31
Young WW, Swinkola RB, Hutton MA (1980) Assessment of the AUTOGRP patient classification system. Med Care 18 (2): 228–244
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1990 ECSE-EEC-EAEC, Brussels-Luxembourg
About this chapter
Cite this chapter
Leidl, R., Rodrigues, J.M. (1990). Concepts to Classify Patients by Disease Severity and Resource Needs. In: Leidl, R., Potthoff, P., Schwefel, D. (eds) European Approaches to Patient Classification Systems. Health Systems Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75593-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-75593-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-52417-5
Online ISBN: 978-3-642-75593-4
eBook Packages: Springer Book Archive