MersV1, PubMed, Checkpoint, bibRecord, 000D27

Effects of operational decisions on the diffusion of epidemic disease: A system dynamics modeling of the MERS-CoV outbreak in South Korea.

Identifieur interne : 000D27 ( PubMed/Checkpoint ); précédent : 000D26; suivant : 000D28

Effects of operational decisions on the diffusion of epidemic disease: A system dynamics modeling of the MERS-CoV outbreak in South Korea.

Auteurs : Nina Shin [Corée du Sud] ; Taewoo Kwag [Corée du Sud] ; Sangwook Park [Corée du Sud] ; Yon Hui Kim [Corée du Sud]

Source :

Journal of theoretical biology [ 1095-8541 ] ; 2017.

RBID : pubmed:28351702

Descripteurs français

English descriptors

KwdEn :
- Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Delivery of Health Care, Disease Outbreaks (prevention & control), Health Facility Administrators (psychology), Hospital Design and Construction, Humans, Middle East Respiratory Syndrome Coronavirus, Models, Theoretical, Republic of Korea (epidemiology), Systems Analysis.
MESH :
- epidemiology : Coronavirus Infections, Republic of Korea.
- prevention & control : Disease Outbreaks.
- psychology : Health Facility Administrators.
- transmission : Coronavirus Infections.
- Delivery of Health Care, Hospital Design and Construction, Humans, Middle East Respiratory Syndrome Coronavirus, Models, Theoretical, Systems Analysis.

Abstract

We evaluated the nosocomial outbreak of Middle East Respiratory Syndrome (MERS) Coronavirus (CoV) in the Republic of Korea, 2015, from a healthcare operations management perspective. Establishment of healthcare policy in South Korea provides patients' freedom to select and visit multiple hospitals. Current policy enforces hospitals preference for multi-patient rooms to single-patient rooms, to lower financial burden. Existing healthcare systems tragically contributed to 186 MERS outbreak cases, starting from single "index patient" into three generations of secondary infections. By developing a macro-level health system dynamics model, we provide empirical knowledge to examining the case from both operational and financial perspectives. In our simulation, under base infectivity scenario, high emergency room occupancy circumstance contributed to an estimated average of 101 (917%) more infected patients, compared to when in low occupancy circumstance. Economic patient room design showed an estimated 702% increase in the number of infected patients, despite the overall 98% savings in total expected costs compared to optimal room design. This study provides first time, system dynamics model, performance measurements from an operational perspective. Importantly, the intent of this study was to provide evidence to motivate public, private, and government healthcare administrators' recognition of current shortcomings, to optimize performance as a whole system, rather than mere individual aspects.

DOI: 10.1016/j.jtbi.2017.03.020
PubMed: 28351702

Affiliations:

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Le document en format XML

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<front><div type="abstract" xml:lang="en">We evaluated the nosocomial outbreak of Middle East Respiratory Syndrome (MERS) Coronavirus (CoV) in the Republic of Korea, 2015, from a healthcare operations management perspective. Establishment of healthcare policy in South Korea provides patients' freedom to select and visit multiple hospitals. Current policy enforces hospitals preference for multi-patient rooms to single-patient rooms, to lower financial burden. Existing healthcare systems tragically contributed to 186 MERS outbreak cases, starting from single "index patient" into three generations of secondary infections. By developing a macro-level health system dynamics model, we provide empirical knowledge to examining the case from both operational and financial perspectives. In our simulation, under base infectivity scenario, high emergency room occupancy circumstance contributed to an estimated average of 101 (917%) more infected patients, compared to when in low occupancy circumstance. Economic patient room design showed an estimated 702% increase in the number of infected patients, despite the overall 98% savings in total expected costs compared to optimal room design. This study provides first time, system dynamics model, performance measurements from an operational perspective. Importantly, the intent of this study was to provide evidence to motivate public, private, and government healthcare administrators' recognition of current shortcomings, to optimize performance as a whole system, rather than mere individual aspects.</div>
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<affiliations><list><country><li>Corée du Sud</li>
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<name sortKey="Kim, Yon Hui" sort="Kim, Yon Hui" uniqKey="Kim Y" first="Yon Hui" last="Kim">Yon Hui Kim</name>
<name sortKey="Kwag, Taewoo" sort="Kwag, Taewoo" uniqKey="Kwag T" first="Taewoo" last="Kwag">Taewoo Kwag</name>
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Effects of operational decisions on the diffusion of epidemic disease: A system dynamics modeling of the MERS-CoV outbreak in South Korea.

Effects of operational decisions on the diffusion of epidemic disease: A system dynamics modeling of the MERS-CoV outbreak in South Korea.

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