Resource burden at XXXX 's hospitals experiencing surge volumes during the spring 2009 H1N1 influenza pandemic.

@entity1 @entity101 @entity565 @entity341 @entity26144 @entity683
OBJECTIVES: The objective was to describe the @entity341 ( @entity341 ) resource burden of the spring 2009 H1N1 influenza pandemic at U.S. @entity1 's hospitals by quantifying observed-to-expected utilization. METHODS: The authors performed an ecologic analysis for April through July 2009 using data from 23 @entity26144 in the Pediatric Health Information System (PHIS), an administrative database of widely distributed U.S. @entity1 's hospitals. All @entity341 visits during the study period were included, and data from the 5 prior years were used for establishing expected values. Primary outcome measures included observed-to-expected ratios for @entity341 visits for all reasons and for @entity683 ( @entity683 ). RESULTS: Overall, 390,983 visits, and 88,885 visits for @entity683 , were included for Calendar Weeks 16 through 29, when 2009 H1N1 influenza was circulating. The subset of 106,330 visits and 31,703 @entity683 visits made to the 14 hospitals experiencing the authors' definition of @entity341 surge during Weeks 16 to 29 was also studied. During surge weeks, the 14 @entity26144 experienced 29% more total visits and 51% more @entity683 visits than expected (p < 0.01 for both comparisons). Of @entity683 during surge weeks, only 4.8% were admitted to non-intensive care beds (70% of expected, p < 0.01), 0.19% were admitted to intensive care units (44% of expected, p < 0.01), and 0.01% received mechanical ventilation (5.0% of expected, p < 0.01). Factors associated with more-than-expected visits included ages 2-17 years, payer type, and @entity565 . No factors were associated with more-than-expected hospitalizations from the @entity341 . CONCLUSIONS: During the spring 2009 H1N1 influenza pandemic, pediatric @entity26144 nationwide experienced a marked @entity101 , with far fewer than expected requiring nonintensive or intensive care hospitalization. The data in this study can be used for future pandemic planning.
