Daily classification of the level of care. A method to describe clinical course of illness, use of resources and quality of intensive care assistance

Citation
G. Iapichino et al., Daily classification of the level of care. A method to describe clinical course of illness, use of resources and quality of intensive care assistance, INTEN CAR M, 27(1), 2001, pp. 131-136
Citations number
11
Categorie Soggetti
Aneshtesia & Intensive Care
Journal title
INTENSIVE CARE MEDICINE
ISSN journal
03424642 → ACNP
Volume
27
Issue
1
Year of publication
2001
Pages
131 - 136
Database
ISI
SICI code
0342-4642(200101)27:1<131:DCOTLO>2.0.ZU;2-O
Abstract
Objective: To develop a simple and comparable clinical method able to disti nguish between higher and lower complexities of care in the ICU. Design: Retrospective analysis. Setting: Database of European ICUs Study I (Euricus-I: including 12,615 pat ients and 55,464 patient/ days), prospectively collected in 89 ICUs of 12 E uropean countries. Methods and results: A panel of experts developed the classification of the complexity of care. Six tin addition to monitoring, two levels of respirat ory support - R and r - two levels of circulatory support - C and c - and d ialysis) out of the nine items of Nine Equivalents of Nursing Manpower use Score (NEMS), a therapeutic index, were utilised. Two levels of care (LOCs) were defined according to a more (HT) and a less complex (LT) combination of common activities of care. The two LOCs were significantly related to mo rtality: higher in HT and they rose with increasing cumulative number of HT days. HT accounted for 31,976 NEMS days (57.7%) while 23,488 (42.3%) were LT. Major respiratory and cardiovascular support accounted for about 80% of the HT days. Respiratory assistance and monitoring were responsible for an equivalent percentage of LT days. The distribution of the clinical classif ication of LOCs coincided with that of the managerial scores of LOCs in the literature. Conclusions: The managerial instrument described uses simple and reliable c linical data. It is able to distinguish between patients with different sev erity and outcome, and shows that every additional consecutive day spent in ICU as HT increases the probability of death. Moreover, (1) it suggests th e possibility of describing the clinical course of illness by relating the complexity/level of medical care to the available technology and staff; (2) using relevant markers of clinical activity, it might be useful to include in quality control programmes.