Reconversión hospitalaria ante la pandemia de COVID-19

Mendoza-Popoca, Cecilia Úrsula; Suárez-Morales, Mario

doi:10.35366/92875

Cited by 20 publications

(26 citation statements)

References 8 publications

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“…While state-managed hospitals and private sector showed lower risks, in contrast the IMSS seems to be the one with the highest risk (Figure 3). Although it is worth mentioning that following the national hospital transformation plan [13], IMSS alone has transformed about 260 medical units to treat Covid-19 patients [14]. Additionaly it has the largest number of affiliations and they are liklely to have higher risk exposure.…”

Section: Resultsmentioning

confidence: 99%

“…In this study we identified 6 different healthcare providers which were classified according to their sectors IMSS, ISSSTE, SEDENA/SEMAR/PEMEX, SSA, ESTATALES (healthcare provider within each state) these 5 are public care providers while the sixth sector is private hospitals. It is worth mentioning that following the national hospital transformation plan [13], IMSS alone has transformed about 260 medical units to treat COVID-19 patients [14].…”

Section: Methodsmentioning

confidence: 99%

“…Among all health care providers the IMSS is the one with the highest risk, however it is the largest healthcare provider across Mexico with hospitals from level 2-level 4 of which “Siglo XXI” is a country-leader in research and innovative treatments and procedures. In March, 2020 38 hospitals were “converted” [13] to exclusively treat COVID-19 among which 18 were IMSS hospitals only; after one year 960 hospitals across the country were converted to treat patients with COVID-19 of these 289 (30.10%) belong to IMSS [14].…”

Section: Disscusionmentioning

confidence: 99%

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Multi-level multi-state modelling applied to hospital admission in mexican patients with COVID-19

Díaz-Martínez

Orozco-Becerril²,

Gallegos-Herrada³

et al. 2021

Preprint

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Since the beginning of the SARS-CoV 2 pandemic, healthcare authorities have made clear that it is crucial to track and identify COVID-19 symptoms and seek medical attention in the presence of the first warning signs, as immediate medical attention can improve the patient's prognosis. Therefore the present work aims to analyze the risks associated with the time between the patient's first symptoms and hospitalization followed by death. A cross-sectional study was performed among Mexican population diagnosed with COVID-19 and hospitalized from March to January 2021. Four different Bayesian models were developed to asses the risk associated with different patient trajectories: symptoms-hospitalization and hospitalization-death. Comorbidities that could worsen the patient outcome were included as linear predictions; these analyses were further broken down to the different states of the Mexican Republic and the healthcare providers within. Model III was chosen as the best performance through a validation of leaving one out (LOO). Increased risk for hospitalization was observed at the global population level for chronic renal disease, whereas for death such was the case for COPD and the interaction of diabetes:hypertension:obesity. Our results show that there are differences in mortality between the states without accounting for institution and it is related to the prompt time of death or viceversa. Regarding the 6 healthcare providers included in the analysis differences were also found. While state-managed hospitals and private sector showed lower risks, in contrast the IMSS seems to be the one with the highest risk. The proposed modelling can be helpful to improve healthcare assistance at a regional level, additionally it could inform statistical parameter inference in epidemiological models.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Disscusionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-level multi-state modelling applied to hospital admission in mexican patients with COVID-19

Díaz-Martínez

Orozco-Becerril²,

Gallegos-Herrada³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Dear editor: During the Covid-19 pandemic, Mexico transformed hospitals that normally treated patients with chronic diseases into centers to treat Covid-19, 1 potentially displacing the care of patients with cancer. Mobile health (mHealth) could relieve health systems in low-and middle-income countries (LMIC) such as Mexico by offering an alternative to face-to-face contact at every stage of cancer care.…”

Section: Mhealth: Experiences and Opportunities For Cancer Research I...mentioning

confidence: 99%

mHealth: experiences and opportunities for cancer research in Mexico

2022

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“…Tomando en cuenta esos puntos, las zonas para la atención e ingreso de los pacientes sospechosos y confirmados de CO-VID-19, dentro de la organización se debe establecer una zona de triage para explorar y examinar pacientes, un laboratorio, una sala de observación y otra de reanimación, esto evitará que aumente la propagación y la contaminación del virus en otras áreas del hospital (Tabla 1) (1,11,14,(16)(17)(18)50) .…”

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