The effect of managed care on ICU length of stay: implications for medicare
D. C. Angus, W. T. Linde-Zwirble, C. A. Sirio, A. J. Rotondi, L. Chelluri, R. C. Newbold 3rd, J. R. Lave and M. R. Pinsky
Health Delivery and Systems Evaluation Team, Department of Anesthesiology and Critical Care Medicine, University of Pittsburgh, PA 15213-2582, USA.
OBJECTIVE: To determine whether insurance status (managed care vs
traditional commercial and Medicare) influences resource consumption (as
measured by length of stay [LOS]) in the intensive care unit (ICU). DESIGN:
Retrospective analysis of the 1992 Massachusetts state hospital discharge
database, using prospectively developed and validated risk-stratification
models. SETTING: All nonfederal hospitals in Massachusetts. SUBJECTS: Of
all adult hospitalizations where an ICU stay was incurred (n=104270), we
selected those covered by 1 of 4 payer groups (n=88050): (1) commercial
fee-for-service (patients aged <65 years); (2) commercial managed care
(patients aged <65 years); (3) traditional Medicare (patients aged
>/=65 years); and (4) Medicare-sponsored managed care (patients aged
>/=65 years). MAIN OUTCOME MEASURE: Mean ICU LOS. ANALYSIS: The ICU LOS
regression models were constructed using split-halves validation to adjust
for differences in age, sex, severity of illness, diagnosis, discharge
status, and payer. Separate models were constructed for those younger than
65 years and those aged 65 years or older. Robustness of the models was
explored using goodness of fit and correlation. The effect of payer on
hospital mortality was also explored using logistic regression. Observed
minus predicted mean ICU LOS and mortality rates were correlated with
managed care penetration at the hospital level. RESULTS: The ICU LOS models
performed well (R2=0.84 and R2L [likelihood ratio statistic]=0.92 for the
development set, and R2=0.83 and R2L=0.89 for the validation set).
Significant covariables affecting LOS included age, severity of principal
illness, comorbidity, reason for admission, and discharge status (P<.001
for each). Among the cohort younger than 65 years (n=27805), although
unadjusted mean ICU LOS was shorter (2.9 vs 3.43 days; P<.05) for those
covered by managed care organizations, payer status had no independent
effect on ICU LOS (P=.48). Among those older than 65 years, there was
neither a difference in unadjusted ICU LOS (3.94 vs 3.88 days; P>/=.05)
nor an independent effect of payer on ICU LOS (P=.35). Unadjusted mortality
was lower among managed care patients (3.9% vs 5.1% in patients aged <65
years [P<.05] and 8.7% vs 12.1% in patients aged > or = 65 years
[P<.05]). Age, severity of principal diagnosis, comorbidity, and reason
for admission significantly influenced mortality (P<.001). After
controlling for these factors with the mortality model (R2L=0.92 and 0.89,
C statistic [12 df]=8.45 and 17.58, and P=.75 and .13 [where a large P
reflects good agreement] for the development and validation sets,
respectively), payer continued to have a small but significant effect on
mortality (odds ratios ranging from 1.67 at 0.1% probability of death to
1.11 at 30% probability of death.) Managed care penetration among the
commercially insured varied across hospitals (n=82) from 0% to 68%. There
was no correlation between managed care penetration and either ICU LOS
(R2=0.04; P=.09) or mortality (R2=0.0; P=.88). CONCLUSIONS: Though patients
covered under managed care consume fewer ICU resources, this appears to be
primarily attributable to a difference in patient-related factors. Thus, as
managed care case mix changes in the future to include sicker and older
patients, the initial advantages of reduced resource consumption may
diminish.
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