The task of clearly demonstrating that the type of care delivered in an intensive care unit (ICU) ultimately affects patient outcomes is a challenge. It rarely is feasible to manipulate already-established ICU characteristics. Randomly assigning patients to ICUs that do or do not have certain organizational features, such as ICU subspecialists performing daily patient rounds or nurse-to-patient ratios of less than 1:2, is logistically complex. Therefore, investigators who wish to explore the relationship between patient outcome and the structure and function of ICUs need to extract data from large databases that contain a representative sample of ICUs, identify their organizational characteristics, and use risk adjustment methods1 to evaluate the association of these characteristics with the health outcomes of interest. Risk adjustment ideally takes into account underlying differences in the pre-ICU care patient population among ICUs, the individual performance of each ICU, and differences in post-ICU care for outcomes measured beyond the ICU stay.
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Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature
Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal
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