Evidence map›Paper›PMID 42382202›Full record

ArticleSafety and health at work2026

Development of a First-tier Risk Assessment Tool for Occupational Hazards Among Public Officials.

Sangjun Choi, Hayoung Lee, Juhyeon Jeong, Seonjin Lim, Soo-Young Lee, Jaehyun Park

Abstract read
In one paragraph

Article in Safety and health at work, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Sangjun ChoiGraduate School of Public Health and Healthcare Management, The Catholic University of Korea, Seoul, Republic of Korea.
Hayoung LeeDepartment of Public Administration, Yeungnam University, Gyeongsangbuk-do, Republic of Korea.
Juhyeon JeongGraduate School of Public Administration, Seoul National University, Seoul, Republic of Korea.
Seonjin LimGraduate School of Public Administration, Seoul National University, Seoul, Republic of Korea.
Soo-Young LeeGraduate School of Public Administration, Seoul National University, Seoul, Republic of Korea.
Jaehyun ParkCivil Service Health and Safety Policy Division, Ministry of Personnel Management, Sejong, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Public officials face diverse job-related hazards, yet systematic approaches to identify risk factors are limited in the Republic of Korea. This study developed a risk assessment tool to evaluate occupational risk factors among public officials and describes its development process and practical use. Methods: We conducted text analysis of injury/illness narratives from 25,317 approved compensation claims (2019-2023) to extract and classify key risk factors. The tool was designed as a first-tier self-assessment in which respondents rate the frequency and intensity of exposure to each risk factor on a 4-point Likert scale. The product of the two scores yields a four-level risk rating. The tool was developed in Microsoft Excel and consists of six worksheets. Results: Text analysis of the claim narratives identified 24 risk factors (psychological 5, organizational 2, ergonomic 5, physical 7, chemical 3, and biological 2); collision/fall risk was the most common (54.7%). In the Excel-based tool, users rate frequency and intensity for each item, which automatically generates a four-level risk rating. Items rated as high/very high prompt entry of detailed work situations. The tool also allows the addition of extra risk factors and provides guidance on second-tier in-depth assessments for high-risk results. Conclusion: This tool may help public officials across diverse job types easily screen job-related risk factors. Further studies should evaluate its usability and applicability across public service occupations.

Indexed as

ExposureFirst-tier assessmentHazardPublic serviceRisk assessment

Identifiers

PMID42382202
PMCPMC13316000

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.