Evidence map›Paper›PMID 37312802›Full record

ArticleJournal of the Medical Library Association : JMLA2023

Searching for evidence in public health emergencies: a white paper of best practices.

Stacy Brody, Sara Loree, Margaret Sampson, Shaila Mensinkai, Jennifer Coffman, Mark Heinrich Mueller, Nicole Askin, Cheryl Hamill, Emma Wilson, Mary Beth McAteer and 2 more

Abstract readConsensus Statement
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

12 authors.

Stacy Brodysbrody98@gwu.edu, Reference & Instruction Librarian, Himmelfarb Health Sciences Library, George Washington University, School of Medicine and Health Sciences, Washington, DC, United States.ORCID https://orcid.org/0000-0002-2817-3849
Sara Loreelorees@slhs.org, Medical Library Manager, St. Luke's Health System, ID, United States.
Margaret Sampsonmjs.sampson@outlook.com Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-2550-9893
Shaila Mensinkaishailamensinkai@gmail.com, Librarian Reserve Corps, Canada.
Jennifer Coffmanjcoffman@virginia.edu, Science and Engineering Research Librarian, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-6349-0789
Mark Heinrich Muellermarkmueller07@yahoo.ca, Saskatchewan Health Authority, Health Sciences Library, Regina, SK, Canada.
Nicole AskinNicole.Askin@umanitoba.ca, WRHA Virtual Library, University of Manitoba, Winnipeg, MB, Canada.ORCID https://orcid.org/0000-0001-9211-4694
Cheryl Hamillcheryl.hamill@health.wa.gov.au, South and East Metropolitan Health Services, Perth, Australia.ORCID https://orcid.org/0000-0002-6069-1806
Emma Wilsonemma.wilson@ed.ac.uk, The University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, Scotland.ORCID https://orcid.org/0000-0002-8100-7508
Mary Beth McAteerMary.McAteer@virginiamason.org, Virginia Mason Medical Center, Jones Learning Center, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-8660-630X
Heather Stainesheather.staines@gmail.com, Delta Think, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0003-3876-1182
Best Practices for Searching During Public Health Emergencies Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Information professionals have supported medical providers, administrators and decision-makers, and guideline creators in the COVID-19 response. Searching COVID-19 literature presented new challenges, including the volume and heterogeneity of literature and the proliferation of new information sources, and exposed existing issues in metadata and publishing. An expert panel developed best practices, including recommendations, elaborations, and examples, for searching during public health emergencies. Methods: Project directors and advisors developed core elements from experience and literature. Experts, identified by affiliation with evidence synthesis groups, COVID-19 search experience, and nomination, responded to an online survey to reach consensus on core elements. Expert participants provided written responses to guiding questions. A synthesis of responses provided the foundation for focus group discussions. A writing group then drafted the best practices into a statement. Experts reviewed the statement prior to dissemination. Results: Twelve information professionals contributed to best practice recommendations on six elements: core resources, search strategies, publication types, transparency and reproducibility, collaboration, and conducting research. Underlying principles across recommendations include timeliness, openness, balance, preparedness, and responsiveness. Conclusions: The authors and experts anticipate the recommendations for searching for evidence during public health emergencies will help information specialists, librarians, evidence synthesis groups, researchers, and decision-makers respond to future public health emergencies, including but not limited to disease outbreaks. The recommendations complement existing guidance by addressing concerns specific to emergency response. The statement is intended as a living document. Future revisions should solicit input from a broader community and reflect conclusions of meta-research on COVID-19 and health emergencies.

Indexed as

COVID-19Public HealthDisease OutbreaksEmergenciesHumansReproducibility of ResultsCollaborationemergency responseinformation retrievalmethodsrapid reviewsystematic review

Identifiers

PMID37312802
PMCPMC10259619

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.