Evidence map›Paper›PMID 36796096›Full record

ArticleRevista medica del Instituto Mexicano del Seguro Social2022

[Systematization of a comprehensive intervention for strengthening the COVID-19 medical care].

Célida Duque-Molina, Ernesto Romero-Hernández, Dulce Alejandra Balandrán-Duarte, Juan Carlos Sánchez-Echeverría, Luis Johann Rodríguez-Soria, Iván de Jesús Ascencio-Montiel, Fabiana Maribel Zepeda-Arias, Guadalupe Núñez-Sánchez, Enrique Villarreal-Ríos, Ricardo Avilés-Hernández

Open access · greenAbstract readEnglish Abstract
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Célida Duque-MolinaInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas. Ciudad de México, México.ORCID 0000-0002-8252-3205
Ernesto Romero-HernándezInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Unidad de Planeación e Innovación en Salud. Ciudad de México, México.ORCID 0000-0003-2037-9663
Dulce Alejandra Balandrán-DuarteConferencia Interamericana de Seguridad Social, Dirección de Evaluación e Investigación en Sistemas de Salud. Ciudad de México, México.ORCID 0000-0001-9056-1351
Juan Carlos Sánchez-EcheverríaOrganización Panamericana de la Salud, Oficina del Asesor Regional para Emergencias en Salud. Consultoría Internacional del Departamento de Emergencias en Salud y Desastres. Washington, Distrito de Columbia, Estados Unidos de América.ORCID 0000-0002-1105-7032
Luis Johann Rodríguez-SoriaInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Unidad de Planeación e Innovación en Salud. Ciudad de México, México.ORCID 0000-0003-1176-9387
Iván de Jesús Ascencio-MontielInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Coordinación de Vigilancia Epidemiológica. Ciudad de México, México.ORCID 0000-0001-7034-0586
Fabiana Maribel Zepeda-AriasInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Coordinación Técnica de Enfermería. Ciudad de México, México.ORCID 0000-0002-2565-7506
Guadalupe Núñez-SánchezInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Unidad de Planeación e Innovación en Salud. Ciudad de México, México.ORCID 0000-0003-1583-3489
Enrique Villarreal-RíosInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Coordinación de Investigación en Salud, Unidad de Investigación Epidemiológica y en Servicios de Salud. Querétaro, Querétaro, México.ORCID 0000-0002-5455-2383
Ricardo Avilés-HernándezInstituto Mexicano del Seguro Social, Dirección de Prestaciones Médicas, Unidad de Planeación e Innovación en Salud. Ciudad de México, México.ORCID 0000-0001-8280-4931
Mexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19PandemicsHospitalsHumansMexicoPatient Care TeamSocial SecurityCOVID-19Health Services AccessibilityMedical CareSARS-CoV-2

Identifiers

PMID36796096
PMCPMC10627499
OpenAlexW4321168004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.