Evidence map›Paper›PMID 33164105›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Information needs and priority use cases of population health researchers to improve preparedness for future hurricanes and floods.

Jimmy Phuong, Christina J Bandaragoda, Shefali Haldar, Kari A Stephens, Patricia Ordonez, Sean D Mooney, Andrea L Hartzler

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change.Journal of the American Medical Informatics Association : JAMIA · 2022
    Review
  2. Article
  3. Planning a Regional Data Ecosystem for Public Health Preparedness and Response.Journal of public health management and practice : JPHMP
    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

7 authors.

Jimmy PhuongDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.
Christina J BandaragodaDepartment of Civil and Environmental Engineering, College of Engineering, University of Washington, Seattle, Washington, USA.
Shefali HaldarDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.
Kari A StephensDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.
Patricia OrdonezDepartment of Computer Science, University of Puerto Rico Recinto de Río Piedras, San Juan, Puerto Rico, USA.
Sean D MooneyDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.
Andrea L HartzlerDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR002319
6 · The paper itself

Abstract

objectiveInformation gaps that accompany hurricanes and floods limit researchers' ability to determine the impact of disasters on population health. Defining key use cases for sharing complex disaster data with research communities and facilitators, and barriers to doing so are key to promoting population health research for disaster recovery. MATERIALS AND

methodsWe conducted a mixed-methods needs assessment with 15 population health researchers using interviews and card sorting. Interviews examined researchers' information needs by soliciting barriers and facilitators in the context of their expertise and research practices. Card sorting ranked priority use cases for disaster preparedness.

resultsSeven barriers and 6 facilitators emerged from interviews. Barriers to collaborative research included process limitations, collaboration dynamics, and perception of research importance. Barriers to data and technology adoption included data gaps, limitations in information quality, transparency issues, and difficulty to learn. Facilitators to collaborative research included collaborative engagement and human resource processes. Facilitators to data and technology adoption included situation awareness, data quality considerations, adopting community standards, and attractive to learn. Card sorting prioritized 15 use cases and identified 30 additional information needs for population health research in disaster preparedness.

conclusionsPopulation health researchers experience barriers to collaboration and adoption of data and technology that contribute to information gaps and limit disaster preparedness. The priority use cases we identified can help address information gaps by informing the design of supportive research tools and practices for disaster preparedness. Supportive tools should include information on data collection practices, quality assurance, and education resources usable during failures in electric or telecommunications systems.

Indexed as

Cyclonic StormsDisaster PlanningFloodsData AnalysisHealth Services ResearchHumansPopulation HealthResearch Personneldisaster preparednessfloodshurricanesinformation needspopulation healthuse cases

Identifiers

PMID33164105
PMCPMC8480186

What OpenQuestion holds

Textmetadata
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.