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- Publisher Website: 10.1007/s10916-023-01964-x
- Scopus: eid_2-s2.0-85165280891
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Article: Evaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis
Title | Evaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis |
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Authors | |
Keywords | COVID-19 Electronic health records Operations management Patient boarding Time series analysis |
Issue Date | 18-Jul-2023 |
Publisher | Springer |
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 Identifier | http://hdl.handle.net/10722/337116 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.969 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wu, Qihao | - |
dc.contributor.author | Chan, Sunny Ching Long | - |
dc.contributor.author | Lee, Teddy Tai Loy | - |
dc.contributor.author | So, Kevin Wang Leong | - |
dc.contributor.author | Tsui, Omar Wai Kiu | - |
dc.contributor.author | Kuo, Yong Hong | - |
dc.contributor.author | Rainer, Timothy Hudson | - |
dc.contributor.author | Wai, Abraham Ka Chung | - |
dc.date.accessioned | 2024-03-11T10:18:13Z | - |
dc.date.available | 2024-03-11T10:18:13Z | - |
dc.date.issued | 2023-07-18 | - |
dc.identifier.citation | Journal of Medical Systems, 2023, v. 47, n. 1 | - |
dc.identifier.issn | 0148-5598 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.publisher | Springer | - |
dc.relation.ispartof | Journal of Medical Systems | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | COVID-19 | - |
dc.subject | Electronic health records | - |
dc.subject | Operations management | - |
dc.subject | Patient boarding | - |
dc.subject | Time series analysis | - |
dc.title | Evaluating the Patient Boarding during Omicron Surge in Hong Kong: Time Series Analysis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s10916-023-01964-x | - |
dc.identifier.scopus | eid_2-s2.0-85165280891 | - |
dc.identifier.volume | 47 | - |
dc.identifier.issue | 1 | - |
dc.identifier.eissn | 1573-689X | - |
dc.identifier.isi | WOS:001031906500002 | - |
dc.identifier.issnl | 0148-5598 | - |