Evidence map›Paper›PMID 34924210›Full record

ArticleHealth policy (Amsterdam, Netherlands)2022

A country-level analysis comparing hospital capacity and utilisation during the first COVID-19 wave across Europe.

Elke Berger, Juliane Winkelmann, Helene Eckhardt, Ulrike Nimptsch, Dimitra Panteli, Christoph Reichebner, Tanja Rombey, Reinhard Busse

Abstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Measuring hospital care resilience: a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Forecasting hospital bed occupancy: a time series approach with prophet.BMC medical informatics and decision making · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elke BergerTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: elke.berger@tu-berlin.de.
Juliane WinkelmannTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: juliane.winkelmann@tu-berlin.de.
Helene EckhardtTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: helene.eckhardt@tu-berlin.de.
Ulrike NimptschTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: ulrike.nimptsch@tu-berlin.de.
Dimitra PanteliEuropean Observatory on Health Systems and Policies WHO European Centre for Health Policy Eurostation, (Office 07C020) Place Victor Horta/Victor Hortaplein, 40/10 1060, Brussels, Belgium. Electronic address: pantelid@obs.who.int.
Christoph ReichebnerTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: reichebner@tu-berlin.de.
Tanja RombeyTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: tanja.rombey@tu-berlin.de.
Reinhard BusseTechnische Universität Berlin, Administrative office H80, Straße des 17. Juni 135, 10623 Berlin, Germany. Electronic address: rbusse@tu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe exponential increase in SARS-CoV-2 infections during the first wave of the pandemic created an extraordinary overload and demand on hospitals, especially intensive care units (ICUs), across Europe. European countries have implemented different measures to address the surge ICU capacity, but little is known about the extent. The aim of this paper is to compare the rates of hospitalised COVID-19 patients in acute and ICU care and the levels of national surge capacity for intensive care beds across 16 European countries and Lombardy region during the first wave of the pandemic (28 February to 31 July).

methodsFor this country level analysis, we used data on SARS-CoV-2 cases, current and/or cumulative hospitalised COVID-19 patients and current and/or cumulative COVID-19 patients in ICU care. To analyse whether capacities were exceeded, we also retrieved information on the numbers of hospital beds, and on (surge) capacity of ICU beds during the first wave of the COVID-19 pandemic from the COVID-19 Health System Response Monitor (HSRM). Treatment days and mean length of hospital stay were calculated to assess hospital utilisation.

resultsHospital and ICU capacity varied widely across countries. Our results show that utilisation of acute care bed capacity by patients with COVID-19 did not exceed 38.3% in any studied country. However, the Netherlands, Sweden, and Lombardy would not have been able to treat all patients with COVID-19 requiring intensive care during the first wave without an ICU surge capacity. Indicators of hospital utilisation were not consistently related to the number of SARS-CoV-2 infections. The mean number of hospital days associated with one SARS-CoV-2 case ranged from 1.3 (Norway) to 11.8 (France).

conclusionIn many countries, the increase in ICU capacity was important to accommodate the high demand for intensive care during the first COVID-19 wave.

Indexed as

COVID-19Critical CareEuropeHospital Bed CapacityHospitalsHumansIntensive Care UnitsPandemicsSARS-CoV-2COVID-19Hospital capacityHospital utilisationICU surge capacityIntensive care

Identifiers

PMID34924210
PMCPMC8632742

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.