Evidence map›Paper›PMID 42032675›Full record

Observational studyBMC health services research2026

Costs of hospital stays in Switzerland during the COVID-19 pandemic: a comparative analysis between cancer and non-cancer patients.

Loïc Brunner, Anna Nicolet, Marie-Annick Le Pogam, Isabelle Peytremann-Bridevaux, Jean-Luc Bulliard, Joachim Marti, Karine Moschetti

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Loïc BrunnerDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland. loic.brunner@unisante.ch.
Anna NicoletDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Marie-Annick Le PogamDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Isabelle Peytremann-BridevauxDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Jean-Luc BulliardDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Joachim MartiDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.
Karine MoschettiDepartment of Epidemiology and Health Systems, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland. karine.moschetti@chuv.ch.

Funding

Swiss Cancer Research Foundation HSR-5225-11-2020
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic severely disrupted usual hospital care, leading to widespread cancellations of elective procedures and sharp declines in admissions. Cancer patients, whose treatment depends on timely and coordinated interventions, were particularly vulnerable to pandemic-related disruptions. This study analyzes Swiss hospital cost trends across pre-lockdown, lockdown, and post-lockdown phases to examine differential resource allocation patterns between cancer and non-cancer patients.

methodA retrospective observational study was conducted using administrative data from 3.9 million inpatient stays among adults. Monthly trends in total hospital stay costs and key cost components, including emergency services, intensive care, operating room, physician, nursing, and imaging services, were analyzed. A difference-in-differences model was employed to assess cost differentials between patient groups across the pandemic periods, adjusting for patient and hospital characteristics.

resultsDuring the lockdown, the average cost per hospital stay increased by CHF 2,049 (+ 15.7%) and remained CHF 1,654 (+ 12.7%) higher than pre-lockdown levels in the post-lockdown period. Cost increases were especially notable in intensive care unit (CHF + 283) and nursing services (CHF + 759) during the lockdown, with sustained but smaller increases post-lockdown. Once adjusted for patient and hospital characteristics, cancer patients incurred higher hospital costs than non-cancer patients, with the cost differential increasing from 10.0% pre-lockdown to 14.8% during the lockdown and slightly decreasing to 13.8% post-lockdown. This disparity was primarily driven by higher costs of physician services, nursing services, and operating room services. However, ICU costs increased significantly less for cancer patients than for non-cancer patients during lockdown, suggesting differential resource utilization between patient groups.

conclusionThe COVID-19 pandemic significantly increased average hospital costs in Switzerland, with distinct patterns by patient type and cost category. Despite overall cost pressures, continued attention was maintained for cancer patients, showing resilience in service delivery. Findings underscore the need for cost-informed policy responses to maintain care quality and financial sustainability during health system crises.

Indexed as

COVID-19Hospital CostsHospitalizationLength of StayNeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesSwitzerlandAdministrative dataCancerComparative time seriesCostsCovid-19Difference-in-differences analysisHospitalICD-10ICULockdownSwitzerland

Identifiers

PMID42032675
PMCPMC13343702

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Registered trials

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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.