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Multi-criteria Decision Analysis for Readiness of COVID-19 Referral Hospital in Jakarta
IOP Conference Series. Earth and Environmental Science ; 1039(1):012022, 2022.
Article in English | ProQuest Central | ID: covidwho-2037322
ABSTRACT
In early March, Indonesia had reported the first two cases of COVID-19 and this was the beginning for the spread of the COVID-19 outbreak in Indonesia. The need for health services is increasing along with the increasing number of COVID-19 cases in Indonesia. DKI Jakarta is the capital city of Indonesia and is a city with a dense population, causing the transmission of the COVID-19 to be faster than other areas. An assessment of the capacity of health facilities which includes infrastructure and resources is very important to determine the ability of health facilities to manage the rate of spread of COVID-19. This study aims to evaluate the capability of health facilities using the COVID-19 referral hospital readiness index in DKI Jakarta. The data used is the availability of human resources and infrastructure for COVID-19 referral hospitals. Analysis of Geographic Information Systems and Multi-criteria was used to map the readiness index of COVID-19 referral hospitals. The results show that there are no referral hospitals with a high readiness index. There are only 10 referral hospitals with a medium and 92 referral hospitals with a low readiness index. The lack of referral hospitals with a medium readiness index in areas of high vulnerability can have serious consequences in handling COVID-19 cases. Most of the referral hospitals have a low readiness index. However, referral hospitals are capable to reach almost all areas of DKI Jakarta in an emergency condition. It can be concluded that most of the referral hospitals do not have adequate facilities for handling COVID-19 patients.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: IOP Conference Series. Earth and Environmental Science Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: IOP Conference Series. Earth and Environmental Science Year: 2022 Document Type: Article