Evidence map›Paper›PMID 41306331›Full record

ArticleMicrobial risk analysis2025

Improving a microbial risk assessment tool with direct feedback from school health staff.

Mehedi Hasan, Megan Peterson, Emily K Waldron, Nathan L Mottern, Nicole T Pargas, Lynn B Gerald, Ashley A Lowe, Amanda M Wilson

Abstract read
In one paragraph

Article in Microbial risk analysis, 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

8 authors.

Mehedi HasanDepartment of Community, Environment & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Megan PetersonAsthma & Airway Disease Research Center, University of Arizona Health Sciences, Tucson, AZ, USA.
Emily K WaldronAsthma & Airway Disease Research Center, University of Arizona Health Sciences, Tucson, AZ, USA.
Nathan L MotternAsthma & Airway Disease Research Center, University of Arizona Health Sciences, Tucson, AZ, USA.
Nicole T PargasMarana Unified School District, Marana, AZ, USA.
Lynn B GeraldOffice of Population Health Sciences, Office of the Vice Chancellor for Health Affairs, University of Illinois Chicago, Chicago, IL, USA.
Ashley A LoweAsthma & Airway Disease Research Center, University of Arizona Health Sciences, Tucson, AZ, USA.
Amanda M WilsonDepartment of Community, Environment & Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI George S Watts · 1994 to 2026
$36.7M
Work-related Asthma Risks for Nursing Staff Conducting Cleaning and Disinfection: Translation of Risk-risk Tradeoff MethodologyK01HL168014 · NHLBI · UNIVERSITY OF ARIZONA · PI Amanda Marie Wilson · 2024 to 2026
$435k
NHLBI NIH HHS K01 HL168014NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

Due to the impact of COVID-19, publicly available risk-based tools are becoming increasingly popular. However, subject experts develop most of these tools without consulting end users. Thus, this study aimed to explore user's perceptions, vision, and guidance for microbial risk assessment tool development through focus groups. This tool was intended to assist school health staff in decision-making regarding school respiratory viral outbreaks. Partnering with a school district in the Tucson metropolitan area, we conducted three focus groups with school health staff to gather feedback on a risk tool prototype. We discussed the staff's vision for the tool, their feedback on tool capabilities and design, and how they could leverage tool output for informing decisions, advocating with administration, or educating parents, students, or staff. Focus groups were conducted at the district health office, and the transcripts were analyzed by two researchers using inductively informed themes. Thematic analysis revealed that a comprehensive microbial risk assessment tool must have the potential to manage large amounts of data, scope for incorporation of existing data management systems, have real-time data processing, and produce context-specific recommendations for advocacy. Risk tools can expand personalized risk assessment and management strategies. Directly engaging users will advance microbial risk assessment impact and implementation. In the context of schools, a collaborative, comprehensive, digital and real time microbial risk assessment tool is a timely demand by the school health staff to manage microbial risks.

Indexed as

Decision-makingrespiratory virusschool health

Identifiers

PMID41306331
PMCPMC12646580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.