ArticleRevista medica del Instituto Mexicano del Seguro Social2022
[Systematization of a comprehensive intervention for strengthening the COVID-19 medical care].
Article in Revista medica del Instituto Mexicano del Seguro Social, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors at 1 institution in 1 country.
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Abstract
The COVID-19 pandemic established a new challenge for health services in Mexico, which is why these services faced the challenge of responding to the affected people, by providing them services with opportunity, efficiency, effectiveness and safety. The Instituto Mexicano del Seguro Social (IMSS, Mexican Institute for Social Security) gave medical attention to the larger number of affected people: towards the end of September, 2022, 3,335,552 patients were registered, who represented 47% of the total (7,089,209) of confirmed COVID-19 cases since the beginning of the pandemic in 2020. Of all the cases treated, 295,065 (8.8%) required hospitalization. In addition of new scientific evidence and the implementation of best practices in medical care and directive management (with the general objective of improvement of the processes in hospital attention, even without an effective treatment at the time), we presented an evaluation, supervision method with a comprehensive (involving the three levels of health services) and analytic (structure, process, result and directive management components) approach. The achievement of specific goals and lines of action was established in a technical guideline with health policies for the COVID-19 medical care. These guidelines were instrumented with a standardized evaluation tool, a result dashboard and a risk assessment calculator, improving the quality of medical care and directive management by the multidisciplinary health team.
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Identifiers
36796096PMC10627499W4321168004What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.