Evidence map›Paper›PMID 41719043›Full record

ArticleJAMA network open2026

Updated Core Competencies for Disaster Medicine and Public Health.

Rita V Burke, Janine Cadet, Norma A Quintanilla, Lauren Knieser, Thomas D Kirsch, Nikolas I Wada, Larissa Unruh, Kaitlin Rainwater-Lovett, Jeffrey D Freeman

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rita V BurkeDepartment of Population and Public Health Sciences Keck School of Medicine, University of Southern California, Los Angeles.
Janine CadetDepartment of Emergency Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Norma A QuintanillaNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Lauren KnieserPointClickCare, Baltimore, Maryland.
Thomas D KirschNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Nikolas I WadaNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Larissa UnruhNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Kaitlin Rainwater-LovettNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Jeffrey D FreemanNational Center for Disaster Medicine and Public Health, Uniformed Services University of the Health Sciences, Bethesda, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In 2012, the National Center for Disaster Medicine and Public Health (NCDMPH) created a set of core competencies for disaster medicine and public health through an expert stakeholder panel. The COVID-19 pandemic and other significant events have reshaped experts' understanding of which core competencies should be prioritized to ensure that health professionals are prepared for disasters and public health emergencies. Objective: To determine whether the original core competencies should be updated given the many advancements in the field over the last decade. Design, Setting, and Participants: For this mixed-methods qualitative study, in April 2024, the NCDMPH convened 20 subject matter experts in clinical medicine, emergency management, government, and academia to provide qualitative feedback surrounding the current set of 11 disaster health core competencies. Main Outcomes and Measures: A Delphi survey incorporating the potential changes or additions to the initial core competencies was distributed to 42 additional stakeholders between April and July 2024 to quantify the level of agreement. Gwet AC2, a measure of interrater agreement, was applied to evaluate the strength of agreement for the need to change each core competency. Competencies with substantial or near-perfect agreement were updated. Results: Twenty subject matter experts proposed 23 changes to the original core competencies in an initial focus group. Sixteen respondents who completed all items of the Delphi survey reached near-perfect agreement on updating 1 competency and associated subcompetency. The original competency required a demonstration of knowledge of personal safety measures that can be implemented in a disaster or public health emergency. This competency was refined as the identification of physical, psychological, and security hazards associated with the incident. A subcompetency was added that included explaining physical and psychological health, safety, and security risks associated with disasters and public health emergencies. Conclusions and Relevance: In this mixed-methods evaluation, subject matter experts agreed that 1 of 11 disaster health core competencies required modification. These changes included refined language on recognizing hazards and explaining safety and security risks, reflecting observations and experiences during the COVID-19 pandemic and recognition of diverse types of health. These changes ensure training and education of disaster health responders remains synchronized with developments in the preparedness and response communities.

Indexed as

Clinical CompetenceCOVID-19Disaster MedicineProfessional CompetencePublic HealthDelphi TechniqueDisaster PlanningHumansPandemicsQualitative ResearchSARS-CoV-2United States

Identifiers

PMID41719043
PMCPMC12924103

What OpenQuestion holds

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Registered trials

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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.