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The Impact Of Movement Control Order During Covid-19 Pandemic On Healthcare Utilisation: How Does The Projected Patient Workload Compared To The Actual Number Of Patients In Care?

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dc.contributor.authorAmirah Azzerien_US
dc.contributor.authorNur Farhan Abdul Hakimen_US
dc.contributor.authorMohd Hafiz Jaafaren_US
dc.contributor.authorMaznah Dahluien_US
dc.contributor.authorSajaratulnisah Othmanen_US
dc.contributor.authorTunku Kamarul Zaman Tunku Zainol Abidinen_US
dc.date.accessioned2024-05-27T15:05:48Z
dc.date.available2024-05-27T15:05:48Z
dc.date.issued2021
dc.date.submitted2022-1-3
dc.description.abstractThe rising healthcare demand during COVID-19 outbreak may endanger patients and forces hospital to plan for future needs. Predictive analyses were conducted to monitor hospital resources at one of the gazetted COVID-19 hospitals in Malaysia. Simultaneously, a real-time observation on patient’s volume was conducted to understand the actual trend of healthcare resource utilisations. All the projections were directly compared to the actual number of patients in-care. This predictive study was done at University Malaya Medical Centre (UMMC) using various sources of data. The projections revealed a steady increase in the number of cumulative cases until April 2020 followed by an exponential increase in the number of cumulative positive cases in Malaysia. When a comparison between the projection and actual data was done, it was found that the initial projections estimated a range that is 50% to 70% higher during the first three phases of Movement Control Order (MCO) compared to the actual number of COVID-19 patients at UMMC. Subsequent projections were done by using recent estimations from the national database and it was estimated that the number of patients treated will be less than 10 each day up until the end of May 2020. The accuracy of this estimation is 95% when compared to the actual number of COVID-19 patients in care. In conclusion, the practice of continuous projections and real-time observation through predictive analysis using mathematical calculations and algorithms is one of the useful tools to facilitate hospital management to allocate adequate resource allocations.en_US
dc.identifier.doi10.22452/jummec.sp2021no1.4
dc.identifier.epage25
dc.identifier.issn1823-7339
dc.identifier.issueSpecial Issue Covid-19
dc.identifier.other2446-12
dc.identifier.spage22
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/4144
dc.identifier.volume1
dc.language.isoenen_US
dc.publisherFaculty of Medicine, Universiti Malayaen_US
dc.relation.ispartofJournal of Health and Translational Medicineen_US
dc.subjectCOVID-19, Predictive analysis, Healthcare utilisations, Malaysiaen_US
dc.titleThe Impact Of Movement Control Order During Covid-19 Pandemic On Healthcare Utilisation: How Does The Projected Patient Workload Compared To The Actual Number Of Patients In Care?en_US
dc.typeArticleen_US
dspace.entity.typePublication

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