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Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru

COVID-19 has disrupted the treatment of non-communicable diseases (NCDs). This study conducted a multimorbidity analysis and evaluated hospital admissions and death rates among diabetic patients before and after the implementation of lockdown due to the COVID-19 pandemic in Peru. Data from the Minis...

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Autores principales: Hernández-Vásquez, Akram, Barrenechea-Pulache, Antonio, Portocarrero-Bonifaz, Andres, Rojas-Roque, Carlos, Gamboa-Unsihuay, Jesús Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251897/
https://www.ncbi.nlm.nih.gov/pubmed/35813397
http://dx.doi.org/10.1016/j.pmedr.2022.101884
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author Hernández-Vásquez, Akram
Barrenechea-Pulache, Antonio
Portocarrero-Bonifaz, Andres
Rojas-Roque, Carlos
Gamboa-Unsihuay, Jesús Eduardo
author_facet Hernández-Vásquez, Akram
Barrenechea-Pulache, Antonio
Portocarrero-Bonifaz, Andres
Rojas-Roque, Carlos
Gamboa-Unsihuay, Jesús Eduardo
author_sort Hernández-Vásquez, Akram
collection PubMed
description COVID-19 has disrupted the treatment of non-communicable diseases (NCDs). This study conducted a multimorbidity analysis and evaluated hospital admissions and death rates among diabetic patients before and after the implementation of lockdown due to the COVID-19 pandemic in Peru. Data from the Ministry of Health (MINSA) of Peru from January 2017 to December 2020 was used. Hospital death, discharge and the percentage of death/hospital admissions were defined as outcomes of interest. We performed an interrupted time series analysis to assess the aggregate change in the outcomes of interest before and after mandatory lockdown in response to the COVID-19 pandemic in Peru (n = 65,935). Additionally, a network analysis was performed to evaluate the frequency of occurrence of hospital admissions before and after the mandatory lockdown according to demographic characteristics. The average monthly hospital admissions among diabetic patients in Peru decreased by 29% after the implementation of the lockdown. The largest reduction was observed in women (−41%) and for patients 60 years or older (−35%). Furthermore, there was a 92% increase in the average number of monthly deaths. The largest percentage change occurred in men (+113%) and in the group of 40–59 years (+144%). After the implementation of lockdown in Peru, hospital admissions among diabetic patients significantly decreased while in-hospital mortality slightly increased. Our findings shed light on the limitations of the Peruvian health system and the importance of ensuring continued care of NCDs as part of the response strategy during times of crisis.
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spelling pubmed-92518972022-07-05 Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru Hernández-Vásquez, Akram Barrenechea-Pulache, Antonio Portocarrero-Bonifaz, Andres Rojas-Roque, Carlos Gamboa-Unsihuay, Jesús Eduardo Prev Med Rep Regular Article COVID-19 has disrupted the treatment of non-communicable diseases (NCDs). This study conducted a multimorbidity analysis and evaluated hospital admissions and death rates among diabetic patients before and after the implementation of lockdown due to the COVID-19 pandemic in Peru. Data from the Ministry of Health (MINSA) of Peru from January 2017 to December 2020 was used. Hospital death, discharge and the percentage of death/hospital admissions were defined as outcomes of interest. We performed an interrupted time series analysis to assess the aggregate change in the outcomes of interest before and after mandatory lockdown in response to the COVID-19 pandemic in Peru (n = 65,935). Additionally, a network analysis was performed to evaluate the frequency of occurrence of hospital admissions before and after the mandatory lockdown according to demographic characteristics. The average monthly hospital admissions among diabetic patients in Peru decreased by 29% after the implementation of the lockdown. The largest reduction was observed in women (−41%) and for patients 60 years or older (−35%). Furthermore, there was a 92% increase in the average number of monthly deaths. The largest percentage change occurred in men (+113%) and in the group of 40–59 years (+144%). After the implementation of lockdown in Peru, hospital admissions among diabetic patients significantly decreased while in-hospital mortality slightly increased. Our findings shed light on the limitations of the Peruvian health system and the importance of ensuring continued care of NCDs as part of the response strategy during times of crisis. 2022-07-04 /pmc/articles/PMC9251897/ /pubmed/35813397 http://dx.doi.org/10.1016/j.pmedr.2022.101884 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Hernández-Vásquez, Akram
Barrenechea-Pulache, Antonio
Portocarrero-Bonifaz, Andres
Rojas-Roque, Carlos
Gamboa-Unsihuay, Jesús Eduardo
Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title_full Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title_fullStr Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title_full_unstemmed Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title_short Multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the COVID-19 pandemic in Peru
title_sort multimorbidity analysis and hospitalizations for diabetes before and after lockdown due to the covid-19 pandemic in peru
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251897/
https://www.ncbi.nlm.nih.gov/pubmed/35813397
http://dx.doi.org/10.1016/j.pmedr.2022.101884
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