UNASSIGNED: 118 Background: Providing safe and nurturing end-of-life (EOL) care to @entity5 @entity1 is a challenge in any setting, but particularly so in the intensive care unit (ICU). In a unique collaboration between a comprehensive @entity5 center and a payer, we sought to identify @entity5 @entity1 who died in the ICU and conducted a chart review-based qualitative analysis to better understand their location of @entity204 . METHODS: We completed an exploratory, qualitative analysis based on a cohort of 264 active Dana-Farber @entity5 Institute (DFCI) @entity1 who died during 2012 and had claims data from Blue Cross Blue Shield of Massachusetts. Of the 160 @entity1 admitted to the hospital in the last 30 days of life, 28 (17.5%) expired in an ICU. For the 22 @entity1 who died in the ICU of a DFCI-associated hospital, vignettes were created from a chart abstraction. Using an inductive qualitative analysis approach, we explored each vignette using rounds of open, axial, and selective coding and identified common themes that described the @entity1 ' ICU @entity204 incidents. RESULTS: For the 22 cases, the most salient themes are reflected in the Table below. CONCLUSIONS: Using a qualitative research approach, we identified relevant factors to help understand why @entity5 @entity1 die in the ICU. Most families requested aggressive therapy and, even though goals of care may have been modified, @entity1 remained in the ICU. In addition, a substantial proportion of @entity1 were transferred from a community hospital to an academic, tertiary hospital presumably to receive more aggressive treatment. In the future, the relationships among the themes identified from this research should be tested by a quantitative approach. [Table: see text].

Who dies in the ICU? A qualitative analysis of XXXX deaths.

@entity5 :: ('MESH:D009369', 'Disease') :: ['Cancer', 'cancer'] @entity1 :: ('9606', 'Species') :: ['patients'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity5 :: (MESH:D009369,Disease) :: ['cancer']
