Evidence map›Paper›PMID 33482767›Full record

ArticleBMC public health2021

Prioritisation for future surveillance, prevention and control of 98 communicable diseases in Belgium: a 2018 multi-criteria decision analysis study.

Sofieke Klamer, Nina Van Goethem, Working group Disease and Criteria selection, Working group Epidemiologists, Daniel Thomas, Els Duysburgh, Toon Braeye, Sophie Quoilin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  5. Prioritisation of infectious diseases from a public health perspective: a multi-criteria decision analysis study, France, 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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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

8 authors at 3 institutions in 3 countries.

Sofieke Klamer *Epidemiology and public health, Epidemiology of infectious diseases, Sciensano, Brussels, Belgium. Sofieke.Klamer@sciensano.be.ORCID 0000-0001-6897-2613
Nina Van Goethem *Epidemiology and public health, Epidemiology of infectious diseases, Sciensano, Brussels, Belgium.
Working group Disease and Criteria selection
Working group Epidemiologists
Daniel ThomasEuropean Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Els DuysburghEpidemiology and public health, Healthcare-associated infections, Sciensano, Brussels, Belgium.
Toon BraeyeEpidemiology and public health, Epidemiology of infectious diseases, Sciensano, Brussels, Belgium.
Sophie QuoilinEpidemiology and public health, Epidemiology of infectious diseases, Sciensano, Brussels, Belgium.
Sciensano (Belgium) · BEEuropean Centre for Disease Prevention and Control · SEPublic Health Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational public health agencies are required to prioritise infectious diseases for prevention and control. We applied the prioritisation method recommended by the European Centre for Disease Prevention and Control to rank infectious diseases, according to their relative importance for surveillance and public health, to inform future public health action in Belgium.

methodsWe applied the multi-criteria-decision-analysis approach. A working group of epidemiologists and statisticians from Belgium (n = 6) designed a balanced set of prioritisation criteria. A panel of Belgian experts (n = 80) allocated in an online survey each criteria a weight, according to perceived relative importance. Next, experts (n = 37) scored each disease against each criteria in an online survey, guided by disease-specific factsheets referring the period 2010-2016 in Belgium. The weighted sum of the criteria's scores composed the final weighted score per disease, on which the ranking was based. Sensitivity analyses quantified the impact of eight alternative analysis scenarios on the top-20 ranked diseases. We identified criteria and diseases associated with data-gaps as those with the highest number of blank answers in the scoring survey. Principle components of the final weighted score were identified.

resultsWorking groups selected 98 diseases and 18 criteria, structured in five criteria groups. The diseases ranked highest were (in order) pertussis, human immunodeficiency virus infection, hepatitis C and hepatitis B. Among the five criteria groups, overall the highest weights were assigned to 'impact on the patient', followed by 'impact on public health', while different perceptions were identified between clinicians, microbiologists and epidemiologists. Among the 18 individual criteria, 'spreading potential' and 'events requiring public health action' were assigned the highest weights. Principle components clustered with thematic disease groups. Notable data gaps were found among hospital-related diseases.

conclusionsWe ranked infectious diseases using a standardised reproducible approach. The diseases ranked highest are included in current public health programs, but additional reflection for example about needs among risk groups is recommended. Cross-reference of the obtained ranking with current programs is needed to verify whether resources and activities map priority areas. We recommend to implement this method in a recurrent evaluation cycle of national public health priorities.

Indexed as

Communicable DiseasesBelgiumDecision Support TechniquesHealth PrioritiesHumansPublic HealthSurveys and QuestionnairesAllocation of resourcesBurden of diseaseExpert perspectivesHealth domainsInfectious diseasesMCDAPrioritisationPublic health actionRankingSurveillance priorities

Identifiers

PMID33482767
PMCPMC7820105
OpenAlexW3121898763

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.