Evidence map›Paper›PMID 36918218›Full record

ArticleBMJ global health2023

Lessons learnt from the applying the Centers for Disease Control and Prevention (CDC) evaluation framework to the measles incident management system response, USA, 2020-2021.

Sara Jacenko, Sara Blough, Gavin Grant, Rania Tohme, Jeff McFarland, Cynthia Hatcher, James L Goodson, Mark Papania, Danielle Gilliard Pella, Xi Li and 1 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Sara JacenkoGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA soj0@cdc.gov.ORCID 0000-0002-5315-7939
Sara BloughGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Gavin GrantGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Rania TohmeGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Jeff McFarlandGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Cynthia HatcherGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
James L GoodsonGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mark PapaniaGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Danielle Gilliard PellaDivision of Global Migration and Quarantine, Office of Innovation, Development, Evaluation, and Analytics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Xi LiGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sue Lin YeeDivision of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functionality and performance of public health programmes at all levels of government play a critical role in preventing, detecting, mitigating and responding to public health threats, including infectious disease outbreaks. Multiple and concurrent outbreaks in recent years, such as COVID-19, Ebola and Zika, have highlighted the importance of documenting lessons learnt from public health responses of national and global agencies. In February 2020, the US Centers for Disease Control and Prevention (CDC) Center for Global Health (CGH) activated the Measles Incident Management System (MIMS) to accelerate the ability to detect, mitigate and respond to measles outbreaks globally and advance progress towards regional measles elimination goals. The activation was triggered by a global resurgence in reported measles cases during 2018-2019 and supported emergency response activities conducted by partner organisations and countries. MIMS leadership decided early in the response to form an evaluation team to design and implement an evaluation approach for producing real-time data to document progress of response activities and inform timely decision-making. In this manuscript, we describe how establishing an evaluation unit within MIMS, and engaging MIMS leadership and subject matter experts in the evaluation activities, was critical to monitor progress and document lessons learnt to inform decision making. We also explain the CDC's Framework for Evaluation in Public Health Practice applied to evaluate the dynamic events throughout the MIMS response. Evaluators supporting emergency response should use a flexible framework that can be adaptable in dynamic contexts and document response activities in real-time.

Indexed as

COVID-19Hemorrhagic Fever, EbolaMeaslesZika VirusZika Virus InfectionCenters for Disease Control and Prevention, U.S.Disease OutbreaksHumansUnited StatesHealth systems evaluationImmunisationMeasles

Identifiers

PMID36918218
PMCPMC10016298

What OpenQuestion holds

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LicenceCC BY-NC
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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.