Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure - Implications for critical care delivery from Cleveland Health Quality Choice
Ca. Sirio et al., Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure - Implications for critical care delivery from Cleveland Health Quality Choice, CHEST, 115(3), 1999, pp. 793-801
Citations number
53
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Study objectives: To examine the applicability of a previously developed in
tensive care prognostic measure to a community-based sample of hospitals, a
nd assess Variations in severity-adjusted mortality across a major metropol
itan region.
Design: Retrospective cohort study.
Setting: Twenty-eight hospitals with 38 ICUs participating in a community-w
ide initiative to measure performance supported by the business community,
hospitals, and physicians.
Patients: Included in the study were 116,340 consecutive eligible patients
admitted to medical, surgical, neurologic, and mixed medical/surgical ICUs
between March 1, 1991, and March 31, 1995.
Main outcome measures: The risk of hospital mortality was assessed using a
previous risk prediction equation that was developed in a national sample,
and a reestimated logistic regression model fit to the current sample. The
standardized mortality ratio (SMR) (actual/predicted mortality) was used to
describe hospital performance.
Results: Although discrimination of the previous national risk equation in
the current sample was high (receiver operating characteristic [ROC] curve
area 0.90), the equation systematically overestimated the risk of death and
was not as well calibrated (Hosmer-Lemeshow statistic, 2407.6, 8 df, p < 0
.001). The locally derived equation had similar discrimination (ROC curve a
rea = 0.91), but had improved calibration across all ranges of severity (Ho
smer-Lemeshow statistic = 13.5, 8 df,p = 0.10), Hospital SMRs ranged from 0
.85 to 1.21, and four hospitals had SMRs that were higher or lower (p < 0.0
1) than 1.0. Variation in SMRs tended to be greatest during the first year
of data collection. SMRs also tended to decline over the 4 years (1.06, 1.0
2, 0.98, and 0.94 in years 1 to 4, respectively), as did mean hospital leng
th of stay (13.0, 12.4, 11.6, and 11.1 days in years 1 to 4; p < 0.001). Ho
wever, excluding the increasing (p < 0.001) number of patients discharged t
o skilled nursing facilities attenuated much of the decline in standardized
mortality over time.
Conclusions: A previously validated physiologically based prognostic measur
e successfully stratified patients in a large community-based sample by the
ir risk of death. However, such methods may require recalibration when appl
ied to new samples and to reflect changes in practice over time. Moreover,
although significant variations in hospital standardized mortality were obs
erved, changing hospital discharge practices suggest that in-hospital morta
lity may no longer be an adequate measure of ICU performance. Community-wid
e efforts with broad-based support from business, hospitals, and physicians
can be sustained over time to assess outcomes associated with ICU care. Su
ch efforts may provide important information about variations in patient ou
tcomes and changes in practice patterns over time. Future efforts should as
sess the impact of such community-wide initiatives on health-care purchasin
g and institutional quality improvement programs.