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Disaster Preparedness and Hospital Safety in State Hospitals in Lima (Peru)

Author(s)
Roxana Obando Zegarra
Janet Mercedes Arévalo-Ipanaqué  
Ruth América Aliaga Sánchez
José Antonio Cernuda Martínez
Juan Carlos Delgado Echevarría
Pedro Arcos González
Date Issued
10 de agosto de 2023
Type
Article
Volume
38
Issue
5
Start Page
601
End Page
605
DOI
10.1017/s1049023x23006179
Abstract
INTRODUCTION: Peru's health infrastructures, particularly hospitals, are exposed to disaster threats of different natures. Traditionally, earthquakes have been the main disaster in terms of physical and structural vulnerability, but the coronavirus disease 2019 (COVID-19) pandemic has also shown their functional vulnerability. Public hospitals in Lima are very different in terms of year constructed, type of construction, and number of floors, making them highly vulnerable to earthquakes. In addition, they are subject to a high demand for care daily. Therefore, if a major earthquake were to occur in Lima, the hospitals would not have the capacity to respond to the high demand. OBJECTIVE: The aim of this study was to analyze the Hospital Safety Index (HSI) in hospitals in Lima (Peru). MATERIALS AND METHODS: This was a cross-sectional observational study of 18 state-run hospitals that met the inclusion criteria; open access data were collected for the indicators proposed by the Pan American Health Organization (PAHO) Version 1. Associations between variables were calculated using the chi-square test, considering a confidence level of 95%. A P value less than .05 was considered to determine statistical significance. RESULTS: The average bed occupancy rate was 90%, the average age was 70 years, on average had one bed per 25,126 inhabitants, and HSI average score was 0.36 with a vulnerability of 0.63. No association was found between HSI and hospital characteristics. CONCLUSION: Most of the hospitals were considered Category C in earthquake and disaster safety, and only one hospital was Category A. The hospital situation needs to be clarified, and the specific deficiencies of each institution need to be identified and addressed according to their own characteristics and context.
Keywords

Observational study

Vulnerability (comput...

Preparedness

Occupational safety a...

Environmental health

Confidence interval

Geography

Public health

Medicine

Medical emergency

Nursing

Computer security

Political science

Internal medicine

Pathology

Computer science

Law

Observational study

Vulnerability (comput...

Preparedness

Occupational safety a...

Environmental health

Confidence interval

Geography

Public health

Medicine

Medical emergency

Nursing

Computer security

Political science

COVID-19 epidemiology...

COVID-19 epidemiology...

COVID-19 epidemiology...

Aged

Aged

Aged

Cross-Sectional Studi...

Cross-Sectional Studi...

Cross-Sectional Studi...

Disaster Planning

Disaster Planning

Disaster Planning

Disasters

Disasters

Disasters

Hospitals

Hospitals

Hospitals

Hospitals, State

Hospitals, State

Hospitals, State

Humans

Humans

Humans

Peru epidemiology

Peru epidemiology

Peru epidemiology

Health Sciences Healt...

Social Sciences Socia...

Social Sciences Busin...

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