Evidence map›Paper›PMID 37143571›Full record

ArticleHealth behavior and policy review2023

Formative Evaluation of a Student Symptom Decision Tree for COVID-19.

Maritza Salazar Campo, Nicole Miovsky, Margaret Schneider, Amanda Woodworth, Michelle DeHaven, Pamela Kahn, Michael Weiss, Dan M Cooper

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health behavior and policy review, 2023. 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

8 authors.

Maritza Salazar CampoPaul Merage School of Business, University of California at Irvine, Irvine, California.
Nicole MiovskyInstitute for Clinical and Translational Science, University of California at Irvine, Irvine, California.
Margaret SchneiderInstitute for Clinical and Translational Science, University of California at Irvine, Irvine, California.
Amanda WoodworthInstitute for Clinical and Translational Science, University of California at Irvine, Irvine, California.
Michelle DeHavenPlacentia Yorba Linda Unified School District.
Pamela KahnHealth and Wellness Student Achievement and Wellness Unit Educational Services Division, Orange County Department of Education.
Michael WeissChildren's Hospital of Orange County; University of California at Irvine, Irvine, California.
Dan M CooperInstitute for Clinical and Translational Science, University of California at Irvine, Irvine, California.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
NCATS NIH HHS UL1 TR001414
6 · The paper itself

Abstract

Objectives: In support of schools restarting during the COVID-19 pandemic, some schools partnered with local experts in academia, education, community, and public health to provide decision-support tools for determining what actions to take when presented with students at risk for spreading infection at school. Methods: The Student Symptom Decision Tree, developed in Orange County, California, is a flow chart consisting of branching logic and definitions to assist school personnel in making decisions regarding possible COVID-19 cases in schools which was repeatedly updated to reflect evolving evidence-based guidelines. A survey of 56 school personnel evaluated the frequency of use, acceptability, feasibility, appropriateness, usability, and helpfulness of the Decision Tree. Results: The tool was used at least 6 times a week by 66% of respondents. The Decision Tree was generally perceived as acceptable (91%), feasible (70%), appropriate (89%), usable (71%) and helpful (95%). Suggestions for improvement included reducing the complexity in content and formatting of the tool. Conclusions: The data suggest that school personnel found value in the Decision Tree, which was intended to assist them with making decisions in a challenging and rapidly evolving pandemic.

Indexed as

COVID-19formative evaluationhealth communicationpublic health guidanceschool healthsymptom decision tree

Identifiers

PMID37143571
PMCPMC10156065

What OpenQuestion holds

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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.