Evidence map›Paper›PMID 40632353›Full record

SynthesisThe European journal of health economics : HEPAC : health economics in prevention and care2026

Measuring hospital care resilience: a systematic literature review.

Marina Cavalieri, Stefania Fontana, Calogero Guccio, Domenico Lisi, Marco Ferdinando Martorana, Giacomo Pignataro, Domenica Romeo

Abstract readSystematic Review
In one paragraph

Synthesis in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

7 authors.

Marina CavalieriDepartment of Economics and Business, University of Catania, Catania, Italy.
Stefania FontanaDepartment of Economics and Business, University of Catania, Catania, Italy.
Calogero GuccioDepartment of Economics and Business, University of Catania, Catania, Italy.
Domenico LisiDepartment of Economics and Business, University of Catania, Catania, Italy.
Marco Ferdinando MartoranaDepartment of Economics and Business, University of Catania, Catania, Italy.
Giacomo PignataroDepartment of Economics and Business, University of Catania, Catania, Italy.
Domenica RomeoDepartment of Economics and Business, University of Catania, Catania, Italy. domenica.romeo@unict.it.ORCID http://orcid.org/0000-0002-4932-7835

Funding

GRINS E63C22002120006HORIZON EUROPE Health 101095424
6 · The paper itself

Abstract

The recent Covid-19 pandemic has shown how even high-performing healthcare systems are often unprepared to cope with sudden and unforeseen surges in demand for healthcare services, drawing further attention on crucial factors ensuring their resilience in the face of extreme disruptive events. Despite extensive efforts to define health system resilience, a lack of consensus persists, making it difficult to operationalize the existing conceptual frameworks and to guide policy makers in developing adequate response strategies. Grounded on this, the present paper aims to systematically review how hospital resilience has been measured in high-income countries. Particularly, we intend to map out the different indicators and metrics used to quantitatively assess the hospitals' capacity to proactively face sudden health shocks, which can put clinical activity under pressure and at risk of disruption. Adhering to PRISMA guidelines, a systematic literature search was conducted until March 2023, by combining three databases. The review identified 1,261 studies of which 45 studies met the eligibility criteria. We found a wide range of methodological approaches that shared a narrow focus on single aspects of hospital resilience, without being able to measure it comprehensively and systematically and without accounting for its dynamic and feedback loop nature. Specifically, most of the studies looked at how to measure hospitals' capacity to absorb the shock and adapt to it, while almost neglecting their transformative capacity as well as the legacy or enduring impact of shocks.

Indexed as

COVID-19Delivery of Health CareHospitalsHumansPandemicsSARS-CoV-2Health shockHospitalsIndicatorMetricResilience

Identifiers

PMID40632353
PMCPMC13046575

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.