Evidence map›Paper›PMID 32664985›Full record

ArticleHealth research policy and systems2020

Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response.

D Kringos, F Carinci, E Barbazza, V Bos, K Gilmore, O Groene, L Gulácsi, D Ivankovic, T Jansen, S P Johnsen and 5 more

Open access · goldAbstract readLetter
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
16.5field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 101 citations in OpenAlex.

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  7. Health system performance assessment: embedding resilience through performance intelligence.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
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  16. Evolution of the Public-Health Response to COVID-19 Pandemic in Spain: A Descriptive Qualitative Study.International journal of environmental research and public health · 2022
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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

15 authors at 8 institutions in 5 countries.

D KringosDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. d.s.kringos@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-2711-4713
F CarinciDepartment of Statistical Sciences, University of Bologna, Via Belle Arti 41, 40126, Bologna, Italy.
E BarbazzaDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
V BosDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
K GilmoreManagement and Health Laboratory (MeS), Institute of Management and EMbeDS, Scuola Superiore Sant'Anna, piazza Martiri della Libertà, 33, Pisa, Italy.
O GroeneOptiMedis AG, Burchardstraße 17, 20095, Hamburg, Germany.
L GulácsiDepartment of Health Economics, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093, Hungary.
D IvankovicDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
T JansenDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
S P JohnsenDanish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University and Aalborg University Hospital, Fredrik Bajers Vej 5, 9100, Aalborg, Denmark.
S de LusignanNuffield Department of Primary Care and Health Sciences, University of Oxford, Woodstock Rd, OX2 6GG, Oxford, United Kingdom.
J MainzPsychiatry Management, Aalborg University Hospital, Mølleparkvej 10, 9000, Aalborg, Denmark.
S NutiManagement and Health Laboratory (MeS), Institute of Management and EMbeDS, Scuola Superiore Sant'Anna, piazza Martiri della Libertà, 33, Pisa, Italy.
N KlazingaDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
HealthPros Network
Amsterdam University Medical Centers · NLAalborg University Hospital · DKScuola Superiore Sant'Anna · ITCorvinus University of Budapest · HUPublic Health Service of Amsterdam · NLUniversity of Bologna · ITUniversity of London · GBUniversity of Oxford · GB

Funding

H2020 Marie Skłodowska-Curie Actions 765141
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives on health are needed in order to manage and monitor this crisis. Performance intelligence is an approach that emphasises the need for different research perspectives in supporting health systems' decision-makers to determine policies based on well-informed choices. In this paper, we present the viewpoint of the Innovative Training Network for Healthcare Performance Intelligence Professionals (HealthPros) on how performance intelligence can be used during and after the COVID-19 pandemic. DISCUSSION: A lack of standardised information, paired with limited discussion and alignment between countries contribute to uncertainty in decision-making in all countries. Consequently, a plethora of different non-data-driven and uncoordinated approaches to address the outbreak are noted worldwide. Comparative health system research is needed to help countries shape their response models in social care, public health, primary care, hospital care and long-term care through the different phases of the pandemic. There is a need in each phase to compare context-specific bundles of measures where the impact on health outcomes can be modelled using targeted data and advanced statistical methods. Performance intelligence can be pursued to compare data, construct indicators and identify optimal strategies. Embracing a system perspective will allow countries to take coordinated strategic decisions while mitigating the risk of system collapse.A framework for the development and implementation of performance intelligence has been outlined by the HealthPros Network and is of pertinence. Health systems need better and more timely data to govern through a pandemic-induced transition period where tensions between care needs, demand and capacity are exceptionally high worldwide. Health systems are challenged to ensure essential levels of healthcare towards all patients, including those who need routine assistance.

conclusionPerformance intelligence plays an essential role as part of a broader public health strategy in guiding the decisions of health system actors on the implementation of contextualised measures to tackle COVID-19 or any future epidemic as well as their effect on the health system at large. This should be based on commonly agreed-upon standardised data and fit-for-purpose indicators, making optimal use of existing health information infrastructures. The HealthPros Network can make a meaningful contribution.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19Delivery of Health CareGlobal HealthGovernment ProgramsHealth PlanningHealth PolicyHealth Services ResearchHumansInternational CooperationMedical InformaticsPandemicsPneumonia, ViralSARS-CoV-2COVID-19evidencehealth informationhealth serviceshealth systemsperformance measurementpolicy

Identifiers

PMID32664985
PMCPMC7358993
OpenAlexW3043408157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.