• Jeremy M Kahn, Billie S Davis, Tri Q Le, Jonathan G Yabes, Chang Chung-Chou H CH Center for Research on Health Care, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States; Department of Biostatistics, Univers, and Derek C Angus.
• CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States; Department of Health Policy & Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States. Electronic address: kahnjm@upmc.edu.
• J Crit Care. 2018 Aug 1; 46: 6-12.

PurposeWe sought to examine variation in long-term acute care hospital (LTACH) quality based on 90-day in-hospital mortality for patients admitted for weaning from mechanical ventilation.MethodsWe developed an administrative risk-adjustment model using data from Medicare claims. We validated the administrative model against a clinical model using data from LTACHs participating in a 2002 to 2003 clinical registry. We then used our validated administrative model to assess national variation in 90-day in-hospital mortality rates in LTACHs from 2013.ResultsThe administrative risk-adjustment model was derived using data from 9447 patients admitted to 221 LTACHs in 2003. The model had good discrimination (C statistic=0.72) and calibration. Compared to a clinically derived model using data from 1163 patients admitted to 14 LTACHs, the administrative model generated similar performance estimates. National variation in risk-adjusted mortality was assessed using data from 20,453 patients admitted to 380 LTACHs in 2013. LTACH-specific risk-adjusted mortality rates varied from 8.4% to 48.1% (median: 24.2%, interquartile range: 19.7%-30.7%).ConclusionsLTACHs vary widely in mortality rates, underscoring the need to better understand the sources of this variation and improve the quality of care for patients requiring long-term ventilator weaning.Copyright © 2018 Elsevier Inc. All rights reserved.

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