Evidence map›Paper›PMID 41198413›Full record

ArticleGlobal health, science and practice2025

Progressive Development of a New Tool for Rapid Thematic Analysis of Community Perceptions and Concerns During Health Emergencies.

Giulia Earle-Richardson, Ciara Nestor, Christine E Prue

Abstract read
In one paragraph

Article in Global health, science and practice, 2025. 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

3 authors.

Giulia Earle-RichardsonU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA. GEarle-Richardson@cdc.gov.
Ciara NestorU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Christine E PrueU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid analysis of community needs, perspectives, and concerns during global health emergencies is essential but technically challenging. In the past, emergency responders have struggled to listen to and engage affected communities because of perceptions about anticipated costs and time delays in receiving actionable results. TOOL DEVELOPMENT: The U.S. Centers for Disease Control and Prevention Excel Tool for Thematic Analysis was developed over 5 years of assisting with emergency responses for Ebola, COVID-19, Sudan Ebolavirus, mpox, and the Ukraine crisis. Beginning with a simple Excel spreadsheet for coding Ebola-related community feedback, we continued to add new features as needs arose, such as preloaded epidemic and health emergency coding schemes, preprogrammed results tables, step-by-step thematic analysis instruction, YouTube training videos, and planning and communication tools for effective use of the results. IMPLEMENTATION: The tool is a customized Excel workbook for qualitative text coding and thematic analysis that enables the user to code and derive key themes from texts, such as interview and focus group transcripts, notes, surveys with open-ended questions, and social media comments. We review the 10 programmed worksheets for planning, cataloguing, coding, and thematically analyzing any kind of text data.

conclusionThe strategies for rapid community feedback analysis during health emergencies are a special application of qualitative analysis methodology to the health emergency setting, enabling a deep reading and transparent and defensible interpretation of the text. Skills learned while using the tool are easily transferable to analyses using licensed software or fully manual methods. The tool offers a step-by-step guide for anyone to analyze text data to answer a relevant question in or outside the context of emergencies.

Indexed as

EmergenciesCOVID-19Global HealthHemorrhagic Fever, EbolaHumansSARS-CoV-2United States

Identifiers

PMID41198413
PMCPMC12838757

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.