Insurance and racial differences in long-term acute care utilization after critical illness
ABSTRACT To determine whether insurance coverage and race are associated with long-term acute care hospital utilization in critically ill patients requiring mechanical ventilation.
Retrospective cohort study.
Nonfederal Pennsylvania hospital discharges from 2004 to 2006.
Eligible patients were aged 18 yrs or older, of white or black race, and underwent mechanical ventilation in an intensive care unit during their hospital stay.
We used multivariable logistic regression with hospital-level random effects to determine the independent association between discharge to long-term acute care hospital, insurance status, and race after appropriate controls, including a chart-based measure of severity of illness. The primary outcome measure was discharge to long-term acute care hospital. Of 66,233 eligible patients, 84.7% were white and 15.3% were black. More white patients than black patients had commercial insurance (23.4% vs. 14.9%) compared to Medicaid (10.6% vs. 29.7%) or no insurance (1.3% vs. 2.2%). Long-term acute care hospital transfer occurred in 5.0% of patients. On multivariable analysis in patients aged younger than 65 yrs, black patients were significantly less likely to undergo long-term acute care hospital transfer (odds ratio, 0.71; p = .003), as were patients with Medicaid vs. commercial insurance (odds ratio, 0.17; p < .001). Analyzing race and insurance together and accounting for hospital-level effects, patients with Medicaid were still less likely to undergo long-term acute care hospital transfer (odds ratio, 0.18; p < .001), but race effects were no longer present (odds ratio, 1.06; p = .615). No significant race effects were seen in the Medicare-eligible population aged 65 yrs or older (odds ratio for transfer to long-term acute care hospital, 0.93; p = .359).
Differences in long-term acute care hospital utilization after critical illness appear driven by insurance status and hospital-level effects. Racial variation in long-term acute care hospital use is not seen after controlling for insurance status and is not seen in a group with uniform insurance coverage. Differential access to postacute care may be minimized by expanding commercial or Medicare insurance availability and standardizing long-term acute care admission criteria across hospitals.
Critical care medicine 05/2014; 42(5):1285-6. DOI:10.1097/CCM.0000000000000193 · 6.15 Impact Factor
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ABSTRACT: Background Long-term acute care hospitals are an option for patients in intensive care units who require prolonged care after an acute illness. Predicting use of these facilities may help hospitals improve resource management, expenditures, and quality of care delivered in intensive care. Objective To develop a predictive tool for early identification of intensive care patients with increased probability of transfer to such a hospital. Methods Data on 1967 adults admitted to intensive care at a tertiary care hospital between January 2009 and June 2009 were retrospectively reviewed. The prediction model was developed by using multiple ordinal logistic regression. The model was internally validated via the bootstrapping technique and externally validated with a control cohort of 950 intensive care patients. Results Among the study group, 146 patients (7.4%) were discharged to long-term acute care hospitals and 1582 (80.4%) to home or other care facilities; 239 (12.2%) died in the intensive care unit. The final prediction algorithm showed good accuracy (bias-corrected concordance index, 0.825; 95% CI, 0.803-0.845), excellent calibration, and external validation (concordance index, 0.789; 95% CI, 0.754-0.824). Hypoalbuminemia was the greatest potential driver of increased likelihood of discharge to a long-term acute care hospital. Other important predictors were intensive care unit category, older age, extended hospital stay before admission to intensive care, severe pressure ulcers, admission source, and dependency on mechanical ventilation. Conclusions This new predictive tool can help estimate on the first day of admission to intensive care the likelihood of a patient's discharge to a long-term acute care hospital.American Journal of Critical Care 07/2014; 23(4):e46-53. DOI:10.4037/ajcc2014985 · 1.60 Impact Factor
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ABSTRACT: Advances in critical care practice have led to a substantial decline in the incidence of ARDS over the past several years. Low tidal volume ventilation, timely resuscitation and antimicrobial administration, restrictive transfusion practices, and primary prevention of aspiration and nosocomial pneumonia have likely contributed to this reduction. Despite decades of research, there is no proven pharmacologic treatment of ARDS, and mortality from ARDS remains high. Consequently, recent initiatives have broadened the scope of lung injury research to include targeted prevention of ARDS. Prediction scores have been developed to identify patients at risk for ARDS, and clinical trials testing aspirin and inhaled budesonide/formoterol for ARDS prevention are ongoing. Future trials aimed at preventing ARDS face several key challenges. ARDS has not been validated as an end point for pivotal clinical trials, and caution is needed when testing toxic therapies that may prevent ARDS yet potentially increase mortality.Chest 10/2014; 146(4):1102-13. DOI:10.1378/chest.14-0555 · 7.13 Impact Factor