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Studying premature mortality from in-hospital mortality can help guide hospital initiatives and resource allocation.
Mapping of the variation in infant mortality can help in improving programs in terms of the allocation of limited resources to those regions with high unmet needs of healthcare.
Analysis of hospital mortality can help to assess the standards of health care delivery.
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While crude mortality data may offer some global guidance as to ICU performance, adjusting mortality rates according to disease severity, by using outcome prediction scores to calculate the standardized mortality ratio, can help improve quality assessment.
The magnitude of the mortality rate can help us in 2 distinct ways: (i) To quantify the extent to which excess mortality is occurring, by comparing the observed mortality rate with the best available estimate of the baseline mortality rate in the pre-war period, either by subtraction or by modelling a relative risk of dying in the post-versus pre-war period, if the recall period spans both.
National-level mortality effect estimates can help resolve inconsistencies in regional findings for different PM constituents.
Although further analysis would be needed to determine which factors causally influence the relationship between PM 10) and mortality, these findings can help guide future epidemiologic investigations and policy decisions.
Understanding of the risk factors responsible for morbidity and mortality in these patients can help in a better management of this disorder.
Yet African Americans and other communities of color disproportionately face specific health problems and higher infant mortality rates that breastfeeding can help reduce.
In particular two outcome measures – mortality and organized care – can help to investigate the new hypothesis which is to understand how clinical pathways can work.
This is particularly true for the current lack of urban tree mortality data, where remote sensing can help to detect potential risks and stresses and reveal irregular or chaotic spatiotemporal patterns of disturbances.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com