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[Interinstitutional Command Mexico: organizational decision-making in the face of COVID-19]. | LitMetric

AI Article Synopsis

Article Abstract

Background: The third wave of COVID-19 in Mexico produced a high demand for hospital care, which is why it was created a multidisciplinary group to optimize decision-making: the Interinstitutional Command for the Health Sector (COISS, according to its initials in Spanish). So far, there is no scientific evidence of the COISS processes or their effect on the behavior of epidemiological indicators and the hospital care needs of the population in the context of COVID-19 in the entities involved.

Objectives: To analyze the trend on epidemic risk indicators throughout the COISS group's management in the third wave of COVID-19 in Mexico.

Material And Methods: Mixed study: 1) non-systematic review of information from technical documents issued by COISS, 2) secondary analysis of open-access institutional databases through the description of healthcare needs of cases notified with COVID-19 symptoms, and an ecological analysis by each Mexican state on the behavior of hospital occupancy, RT-PCR positivity, and COVID-19 mortality in two-time points.

Results: The COISS activity in identifying states with epidemic risk generated actions aimed at a reduction in hospital occupancy of beds, positivity by RT-PCR, and mortality from COVID-19. Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need.

Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627498PMC

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