Evidence map›Paper›PMID 39962521›Full record

Observational studyBMC health services research2025

Patient coordination during the COVID-19 pandemic in the Amsterdam region: effects on capacity utilization and patient flow.

E Berkeveld, M D F Rhebergen, F W Bloemers, H R Zandbergen, G G van Merode

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

E BerkeveldAmsterdam University Medical Center Location Vrije Universiteit Amsterdam, Department of Trauma Surgery, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands. e.berkeveld@amsterdamumc.nl.
M D F RhebergenNetwork for Acute Care Noord-Holland Flevoland, Meibergdreef 9, Amsterdam, the Netherlands.
F W BloemersAmsterdam University Medical Center Location Vrije Universiteit Amsterdam, Department of Trauma Surgery, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
H R ZandbergenAmsterdam University Medical Center Location University of Amsterdam, Department of Cardiothoracic Surgery, Meibergdreef 9, Amsterdam, the Netherlands.
G G van MerodeCare and Public Health Research Institute, Maastricht University, Maastricht, 6200 MD, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo manage COVID-19 surge demand, Dutch regional and national task forces were installed to coordinate a proportionate patient distribution. This study examined the effect of centralized COVID-19 patient coordination on hospital capacity utilization during the pandemic.

methodsA retrospective observational double cohort study compared intra- and interregional patient coordination by the regional task force ROAZ Noord-Holland Flevoland. Coordination was compared to a simulated scenario without coordination based on a queueing model during two time periods from January 1, 2021, until May 1, 2021 and from August 1, 2021, until December 1, 2021. Daily data on patient ICU and clinical COVID-19 patient transfers, number of admissions, and capacity were assessed. The primary outcome was hospital capacity utilization.

resultsOverall, 1,213 patients were transferred both within the eleven regional hospitals and outside the region during cohort I and 528 patients during cohort II. During the first cohort, eight hospitals (ICU patients) and two hospitals (clinical patients) showed a utilization factor exceeding 100% without coordination which reduced to below 100% with coordination. During the second cohort, utilization factors exceeding 100% varied between the scenarios with and without coordination. In both cohorts, the majority of hospitals that showed a utilization factor below 100% in the scenario without coordination, showed an increased utilization factor in the scenario with coordination.

conclusionThis retrospective double cohort analysis based on regional coordination of COVID-19 patients and a simulated scenario of absent regional coordination, identified that load-balancing of COVID-19 care demand generally resulted in an improved distribution of utilization among hospitals. In a crisis, we suggest a swift upscale from local, regional to national centralized coordination activity to enable inter and intra-regional patient coordination at an early stage. Future research is recommended to explore the applicability of coordination for other patient categories to benefit from regional centralization during a crises.

Indexed as

COVID-19Intensive Care UnitsPatient TransferSurge CapacityFemaleHumansMaleMiddle AgedNetherlandsPandemicsRetrospective StudiesSARS-CoV-2Capacity poolingCrisis managementDecision makingHealth care policySurge demand

Identifiers

PMID39962521
PMCPMC11834508

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.