4.7 Article

Shocks to Hospital Occupancy and Mortality: Evidence from the 2009 H1N1 Pandemic

期刊

MANAGEMENT SCIENCE
卷 67, 期 9, 页码 5943-5952

出版社

INFORMS
DOI: 10.1287/mnsc.2021.4010

关键词

Hospital occupancy; hospital mortality; health shocks; healthcare operations; tipping points

资金

  1. Asociacion Mexicana de Cultura

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This study examines the impact of hospital congestion on in-hospital mortality using data from a large public hospital system in Mexico, leveraged the shock in hospitalizations induced by the 2009 H1N1 pandemic, and found that congestion led to an increase in non-ARI in-hospital mortality. The effects were nonlinear in the size of the local outbreak, and supply-side policies such as improving patient assignment and strategically increasing hospital capacity could mitigate some of the negative impacts.
Existing literature suggests that hospital occupancy matters for quality of care, as measured by various patient outcomes. However, estimating the causal effect of increased hospital busyness on in-hospital mortality remains an elusive task due to statistical power challenges and the difficulty in separating shocks to occupancy from changes in patient composition. Using data from a large public hospital system in Mexico, we estimate the impact of congestion on in-hospital mortality by exploiting the shock in hospitalizations induced by the 2009 H1N1 pandemic, instrumenting hospital admissions due to acute respiratory infections (ARIs) with measures of ARI cases at nearby healthcare facilities as a proxy for the size of the local outbreak. Our instrumental-variables estimates show that a 1% increase in ARI admissions in 2009 led to a 0.25% increase in non-ARI in-hospital mortality. We show that these effects are nonlinear in the size of the local outbreak, consistent with the existence of tipping points. We further show that effects are concentrated at hospitals with limited infrastructure, suggesting that supply-side policies that improve patient assignment across hospitals and strategically increase hospital capacity could mitigate some of the negative impacts. We discuss managerial implications, suggesting that up to 25%-30% of our estimated deaths at small and non-intensive-care-unit hospitals could have been averted by reallocating patients to reduce congestion.

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