Evidence map›Paper›PMID 39675819›Full record

ArticleBMJ open2024

Identifying essential resource parameters for pandemic preparedness and response: an international Delphi study within the EU PANDEM-2 project.

Berend H H Beishuizen, Mart L Stein, Joeri S Buis, Alma Tostmann, Caroline Green, James Duggan, Máire A Connolly, Chantal P Rovers, Aura Timen

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Berend H H BeishuizenCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands berend.beishuizen@rivm.nl.ORCID 0000-0001-5500-9078
Mart L SteinCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Joeri S BuisCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Alma TostmannDepartment of Medical Microbiology, Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Gelderland, The Netherlands.
Caroline GreenSchool of Computer Science and Data Science Institute, University of Galway, Galway, Ireland.
James DugganSchool of Computer Science and Data Science Institute, University of Galway, Galway, Ireland.
Máire A ConnollySchool of Health Sciences, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
Chantal P RoversDepartment of Internal Medicine, Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Gelderland, The Netherlands.
Aura TimenCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic highlighted the crucial role of healthcare and public health resource management, where scarcity impairs pandemic response resulting in increased disease transmission, delayed patient care and poorer health outcomes. In the EU PANDEM-2 project, we aimed to identify essential resource parameters for pandemic preparedness and response in the context of an emerging viral respiratory illness.

designAfter performing a systematic literature review, we conducted a Delphi study consisting of a structured questionnaire and consensus round with two separate panels of European public health experts (PHEs) and clinicians, respectively. Resources were categorised as material (n=23), human (n=18) or pharmaceutical (n=12). Data were analysed descriptively for both panels.

resultsParticipants were 17 PHEs and 16 clinicians from nine countries. Consensus between the two panels was found on 40 resource parameters (17 material, 14 human, 9 pharmaceutical; 33 accepted and 7 rejected). Notably, clinicians selected three home care resources while PHEs did not, and PHEs selected two pharmaceutical resources which clinicians did not. No consensus was observed on 13 resources. Eleven additional resources were suggested and included (five for PHE and six for clinicians) among which were personal protective equipment for mobile teams, resources for primary care and resources related to mechanical ventilation.

conclusionsThe high level of consensus between the two expert panels indicates common goals in pandemic resource planning. The disagreement on 13 resource parameters reflects the different priorities between PHEs and clinicians in pandemic planning. This study has demonstrated the core components of resource modelling required for pandemic preparedness planning and shows the importance of consulting experts with both public health and clinical backgrounds. Including our proposed resources in pandemic models allows for more enhanced planning and training activities for future pandemics.

Indexed as

COVID-19Delphi TechniqueHealth ResourcesSARS-CoV-2ConsensusEuropeHumansPandemic PreparednessPandemicsPublic HealthSurveys and QuestionnairesCOVID-19Public healthPUBLIC HEALTH

Identifiers

PMID39675819
PMCPMC11647290

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.