Evidence map›Paper›PMID 40394880›Full record

ArticleThe International journal of health planning and management2025

Pandemic Performance Measures of Resilience for Healthcare and Education in the Netherlands.

Sophie Hadjisotiriou, Tom H Oreel, Vincent A W J Marchau, Hubert P L M Korzilius, Jannie Coenen, Vittorio Nespeca, Etiënne A J A Rouwette, Vítor V Vasconcelos, Rick Quax, Heiman F L Wertheim and 1 more

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Article in The International journal of health planning and management, 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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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

11 authors.

Sophie HadjisotiriouGeriatrics Department, Radboud University Medical Centre, Nijmegen, the Netherlands.ORCID https://orcid.org/0009-0001-1673-2340
Tom H OreelGeriatrics Department, Radboud University Medical Centre, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-5012-4878
Vincent A W J MarchauMethods, Radboud University, Institute of Management Research, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-8512-2386
Hubert P L M KorziliusMethods, Radboud University, Institute of Management Research, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0003-3728-6519
Jannie CoenenMethods, Radboud University, Institute of Management Research, Nijmegen, the Netherlands.
Vittorio NespecaComputational Science Lab, University of Amsterdam, Informatics Institute, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-1691-0143
Etiënne A J A RouwetteMethods, Radboud University, Institute of Management Research, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-7178-8219
Vítor V VasconcelosComputational Science Lab, University of Amsterdam, Informatics Institute, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-4621-5272
Rick QuaxComputational Science Lab, University of Amsterdam, Informatics Institute, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-0299-0074
Heiman F L WertheimDepartment of Medical Microbiology, Radboud University Medical Centre, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-5003-5565
Marcel G M Olde RikkertGeriatrics Department, Radboud University Medical Centre, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0003-1397-1677

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek
6 · The paper itself

Abstract

During the COVID-19 pandemic, policymakers focused on improving health outcomes and safeguarding healthcare availability, which have led to negative consequences for other societal systems that persist today. The impact of these policies on health and non-healthcare systems depends on the resilience of these systems, that is, the capability of a system to maintain functioning during crises by using its adaptive capacity and transformative response. Policymaking during the COVID-19 pandemic might have benefitted from considering the resilience of non-healthcare societal systems and the impact of policy choices on these systems. However, so far, the development of resilience indicators for complex systems and their application in a pandemic context remains undervalued. Therefore, in this paper, we developed performance measures for the resilience of healthcare and education as showcases for pandemic policymaking. We applied a disaster management model (COPEWELL) to both the healthcare and educational system in the Netherlands. An initial list of performance measures for each system was established based on their national quality registries. To safeguard face and content validity actors ranked these measures for each system, resulting in five performance measures for each. The healthcare resilience measures cover healthcare performance both inside and outside hospitals, and the education resilience measures apply to primary, secondary schools, and higher education. Assessing the added value of multisystem policymaking using such resilience measures is a next step to be taken.

Indexed as

COVID-19Delivery of Health CareEducationDisaster PlanningHumansNetherlandsPandemicsPolicy MakingSARS-CoV-2education managementhealth care managementpandemic resilienceperformance measurespolicymakingresiliencesystem resiliencesystem thinking

Identifiers

PMID40394880
PMCPMC12411683

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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.