Evidence map›Paper›PMID 25233015›Full record

ArticleInternational journal of environmental research and public health2014

A conceptual framework to measure systems' performance during emergency preparedness exercises.

Elena Savoia, Foluso Agboola, Paul D Biddinger

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Scientometric Analysis of Public Health Emergencies: 1994-2020.International journal of environmental research and public health · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Elena SavoiaDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. esavoia@hsph.harvard.edu.
Foluso AgboolaDivision of Policy Translation and Leadership Development, Harvard School of Public Health, Boston, MA 02115, USA. fagboola@hsph.harvard.edu.
Paul D BiddingerDivision of Policy Translation and Leadership Development, Harvard School of Public Health, Boston, MA 02115, USA. pbiddinger@partners.org.

Funding

OPHPR CDC HHS 5P01TP000307-05OPHPR CDC HHS P01 TP000307
6 · The paper itself

Abstract

Large-scale public health emergencies require a sophisticated, coordinated response involving multiple entities to protect health and minimize suffering. However, the rarity of such emergencies presents a barrier to gathering observational data about the effectiveness of the public health response before such events occur. For this reason, public health practitioners increasingly have relied on simulated emergencies, known as "exercises" as proxies to test their emergency capabilities. However, the formal evaluation of performance in these exercises, historically has been inconsistent, and there is little research to describe how data acquired from simulated emergencies actually support conclusions about the quality of the public health emergency response system. Over the past six years, we have designed and evaluated more than seventy public health emergency exercises, collaborating with public health agencies, hospitals and others to test a wide variety of systems and their capabilities. Using the data and experience that we gathered, we have developed a conceptual framework that describes the essential elements necessary to consider when applying performance measurement science to public health emergency exercises. We suggest that this framework may assist practitioners and researchers who wish to better measure performance in exercises and to improve public health emergency preparedness.

Indexed as

Civil DefenseDisaster PlanningEmergenciesPublic HealthModels, TheoreticalProgram Evaluation

Identifiers

PMID25233015
PMCPMC4199045

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.