Evidence map›Paper›PMID 38061776›Full record

ReviewJournal of public health (Oxford, England)2024

A competency framework on simulation modelling-supported decision-making for Master of Public Health graduates.

Rok Hrzic, Maria Vitoria Cade, Brian Li Han Wong, Nicky McCreesh, Judit Simon, Katarzyna Czabanowska

Abstract readReview
In one paragraph

Review in Journal of public health (Oxford, England), 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. Review
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

6 authors.

Rok HrzicDepartment of International Health, Care and Public Health Research Institute - CAPHRI, Maastricht University, Maastricht, 6200 MD, Netherlands.
Maria Vitoria CadeDepartment of International Health, Care and Public Health Research Institute - CAPHRI, Maastricht University, Maastricht, 6200 MD, Netherlands.
Brian Li Han WongDepartment of International Health, Care and Public Health Research Institute - CAPHRI, Maastricht University, Maastricht, 6200 MD, Netherlands.
Nicky McCreeshDepartment of Infectious Disease Epidemiology and Dynamics, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Judit SimonDepartment of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, 1090, Austria.
Katarzyna CzabanowskaDepartment of International Health, Care and Public Health Research Institute - CAPHRI, Maastricht University, Maastricht, 6200 MD, Netherlands.

Funding

Maastricht University
6 · The paper itself

Abstract

backgroundSimulation models are increasingly important for supporting decision-making in public health. However, due to lack of training, many public health professionals remain unfamiliar with constructing simulation models and using their outputs for decision-making. This study contributes to filling this gap by developing a competency framework on simulation model-supported decision-making targeting Master of Public Health education.

methodsThe study combined a literature review, a two-stage online Delphi survey and an online consensus workshop. A draft competency framework was developed based on 28 peer-reviewed publications. A two-stage online Delphi survey involving 15 experts was conducted to refine the framework. Finally, an online consensus workshop, including six experts, evaluated the competency framework and discussed its implementation.

resultsThe competency framework identified 20 competencies related to stakeholder engagement, problem definition, evidence identification, participatory system mapping, model creation and calibration and the interpretation and dissemination of model results. The expert evaluation recommended differentiating professional profiles and levels of expertise and synergizing with existing course contents to support its implementation.

conclusionsThe competency framework developed in this study is instrumental to including simulation model-supported decision-making in public health training. Future research is required to differentiate expertise levels and develop implementation strategies.

Indexed as

Professional CompetencePublic HealthEducational StatusHealth PersonnelHumanseducationemployment and skillshealth intelligencemodels

Identifiers

PMID38061776
PMCPMC10901273

What Socratic 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 Socratic graph.