Evidence map›Paper›PMID 37681806›Full record

ReviewInternational journal of environmental research and public health2023

Health System Performance and Resilience in Times of Crisis: An Adapted Conceptual Framework.

Camille Poroes, Laurence Seematter-Bagnoud, Kaspar Wyss, Isabelle Peytremann-Bridevaux

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Review
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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

4 authors.

Camille PoroesCentre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, 1010 Lausanne, Switzerland.
Laurence Seematter-BagnoudCentre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, 1010 Lausanne, Switzerland.
Kaspar WyssSwiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland.ORCID 0000-0003-0156-5989
Isabelle Peytremann-BridevauxCentre for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, 1010 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the COVID-19 pandemic, the notion of health system (HS) performance has been discussed, and the notion of resilience has become increasingly important. Lacking a recognised framework that measures the performance of HSs throughout a crisis, i.e., one that explicitly includes time as a key aspect, we examined the literature about conceptual frameworks for measuring the performance and the resilience of HSs. This review highlighted a significant diversity among 18 distinct HS performance frameworks and 13 distinct HS resilience frameworks. On this basis, we developed a model that integrates the WHO's widely recognised six building block framework in a novel approach derived from the European Observatory on HSs and Policies. The resulting framework adapts the building blocks to the different stages of a crisis, thereby allowing for a comprehensive assessment of an entire health system's performance throughout the crisis's duration, while also considering the key aspect of resilience. For a more pragmatic use of this framework in the future, indicators will be developed as a next step.

Indexed as

COVID-19Government ProgramsHumansMedical AssistancePandemicsPolicycrisisframeworkshealth systemsperformanceresilience

Identifiers

PMID37681806
PMCPMC10487449

What OpenQuestion holds

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LicenceCC BY
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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.