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Article: Evaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis

TitleEvaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis
Authors
KeywordsCOVID-19
Electronic health records
Operations management
Patient boarding
Time series analysis
Issue Date18-Jul-2023
PublisherSpringer
Citation
Journal of Medical Systems, 2023, v. 47, n. 1 How to Cite?
Abstract

The fifth wave of COVID-19 outbreaks in Hong Kong (HK) from January to March 2022 has the highest confirmed cases and deaths compared with previous waves. Severe hospital boarding (to inpatient wards) was noted in various Emergency Departments (EDs). Our objective is to identify factors associated with hospital boarding during Omicron surge in HK. We conducted a retrospective cohort study including all ED visits and inpatient (IP) ward admissions from January 1st to March 31st, 2022. Vector Autoregression model evaluated the effects of a single variable on the targeted hospital boarding variables. Admissions from elderly homes with 6 lag days held the highest positive value of statistical significance (t-stat = 2.827, P < .05) caused prolonged admission waiting time, while medical patients with 4 lag days had the highest statistical significance (t-stat = 2.530, P < .05) caused an increased number of boarding patients. Within one week after impulses, medical occupancy's influence on the waiting time varied from 0.289 on the 1st day to -0.315 on the 7th day. While occupancy of medical wards always positively affected blocked number of patients, and its response was maximized at 0.309 on the 2nd day. Number of confirmed COVID-19 cases was not the sole significant contributor, while occupancy of medical wards was still a critical factor associated with patient boarding. Increasing ward capacity and controlling occupancy were suggested during the outbreak. Moreover, streamlining elderly patients in ED could be an approach to relieve pressure on the healthcare system.


Persistent Identifierhttp://hdl.handle.net/10722/337116
ISSN
2021 Impact Factor: 4.920
2020 SCImago Journal Rankings: 0.685

 

DC FieldValueLanguage
dc.contributor.authorWu, Qihao-
dc.contributor.authorChan, Sunny Ching Long-
dc.contributor.authorLee, Teddy Tai Loy-
dc.contributor.authorSo, Kevin Wang Leong-
dc.contributor.authorTsui, Omar Wai Kiu-
dc.contributor.authorKuo, Yong Hong-
dc.contributor.authorRainer, Timothy Hudson-
dc.contributor.authorWai, Abraham Ka Chung-
dc.date.accessioned2024-03-11T10:18:13Z-
dc.date.available2024-03-11T10:18:13Z-
dc.date.issued2023-07-18-
dc.identifier.citationJournal of Medical Systems, 2023, v. 47, n. 1-
dc.identifier.issn0148-5598-
dc.identifier.urihttp://hdl.handle.net/10722/337116-
dc.description.abstract<p>The fifth wave of COVID-19 outbreaks in Hong Kong (HK) from January to March 2022 has the highest confirmed cases and deaths compared with previous waves. Severe hospital boarding (to inpatient wards) was noted in various Emergency Departments (EDs). Our objective is to identify factors associated with hospital boarding during Omicron surge in HK. We conducted a retrospective cohort study including all ED visits and inpatient (IP) ward admissions from January 1st to March 31st, 2022. Vector Autoregression model evaluated the effects of a single variable on the targeted hospital boarding variables. Admissions from elderly homes with 6 lag days held the highest positive value of statistical significance (t-stat = 2.827, P < .05) caused prolonged admission waiting time, while medical patients with 4 lag days had the highest statistical significance (t-stat = 2.530, P < .05) caused an increased number of boarding patients. Within one week after impulses, medical occupancy's influence on the waiting time varied from 0.289 on the 1st day to -0.315 on the 7th day. While occupancy of medical wards always positively affected blocked number of patients, and its response was maximized at 0.309 on the 2nd day. Number of confirmed COVID-19 cases was not the sole significant contributor, while occupancy of medical wards was still a critical factor associated with patient boarding. Increasing ward capacity and controlling occupancy were suggested during the outbreak. Moreover, streamlining elderly patients in ED could be an approach to relieve pressure on the healthcare system.<br></p>-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofJournal of Medical Systems-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCOVID-19-
dc.subjectElectronic health records-
dc.subjectOperations management-
dc.subjectPatient boarding-
dc.subjectTime series analysis-
dc.titleEvaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis-
dc.typeArticle-
dc.identifier.doi10.1007/s10916-023-01964-x-
dc.identifier.scopuseid_2-s2.0-85165280891-
dc.identifier.volume47-
dc.identifier.issue1-
dc.identifier.eissn1573-689X-
dc.identifier.issnl0148-5598-

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