Multi-criteria Decision Analysis for Readiness of COVID-19 Referral Hospital in Jakarta

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.

Assessing the Hospitals’ Preparedness Against COVID-19: A Hybrid Multi-Criteria Decision-Making Approach

“…(20,22,24) Communication flows in a hospital with its partners during a catastrophic event, which indicate how reliable and effective this information is. Emergency medical information system (C3) (8,19) The number of vehicles available to the hospital Number of vehicles (T1) Transportation (9,20) Availability of helipad space for receiving patients transported by helicopter Helipad space (T2) (8,9,19) Access and routes to the hospital Location access (T3) (8,23,25) The number of hospital personnel Number of personnel (P1) Personnel (7,20,24,25) Indicating the level of disaster preparedness regarding employees and their behavior and coordination with each other in the event of an accident Manpower preparedness (P2) (7,8,25) Education level and work experience certificates for hospital staff in terms of disaster preparedness and their behavior and reaction at the time of accident. -0.017 -0.003 -0.008 0.028 0.006 0.003 -0.012 -0.012 0.001 -0.012 -0.012 0.003 -0.008 0.005 -0.005 0.015 0.002 -0.017 -0.062 7 H2 0.012 -0.028 -0.004 -0.030 0.006 0.003 -0.014 -0.012 0.001 -0.012 -0.012 0.003 0.044 0.032 -0.007 0.015 0.002 0.012 -0.063 8 H3 0.012 0.023 0.001 0.028 0.036 0.032 0.034 0.041 0.001 0.041 0.040 0.003 0.044 0.005 0.057 0.015 0.002 0.012 -0.005 5 H4 -0.017 -0.003 0.001 0.028 -0.025 -0.026 0.006 0.041 0.001 -0.012 -0.012 0.003 -0.008 -0.022 -0.004 0.015 -0.028 -0.017 0.442 1 H5 0.012 0.023 0.015 -0.030 0.006 0.032 0.020 -0.012 0.001 -0.012 -0.012 0.003 -0.008 0.005 -0.004 0.015 0.032 0.012 -0.066 9 H6 0.041 0.023 0.005 0.028 0.036 0.032 0.020 -0.012 0.001 -0.012 0.040 0.041 -0.008 -0.022 -0.001 0.015 0.032 0.041 0.079 4 H7 0.041 0.023 0.033 0.028 0.006 0.003 -0.006 -0.012 -0.029 -0.012 -0.012 -0.015 -0.008 0.005 -0.002 0.015 0.002 0.041 0.285 2 H8 -0.017 -0.028 -0.013 -0.030 -0.025 0.003 -0.017 -0.012 0.001 0.041 -0.012 -0.015 -0.008 0.005 -0.007 -0.043 0.002 -0.017 0.087 3 H9 -0.017 -0.003 -0.018 -0.030 0.006 -0.026 -0.020 0.041 0.031 -0.012 0.040 -0.015 -0.008 0.032 -0.007 -0.043 0.002 -0.017 -0.179 10 H10 -0.017 -0.003 -0.008 0.028 0.006 0.003 -0.012 -0.012 0.001 -0.012 -0.012 0.003 -0.008 0.005 -0.005 0.015 0.002 -0.017 -0.050 6 indexes ranked first to third, respectively.…”