[Analysis on the effect of occupational health management assistance to employers in small and micro enterprises in Suzhou City].

<b>Objective:</b> To analyze the impact of occupational health management assistance for small and micro enterprises in Suzhou on employers, exploring the assistance model for occupational health management in small and micro enterprises. <b>Methods:</b> From 2020 to 2022, a total of 318 small and micro enterprises with serious occupational disease hazards, weak occupational health management, and strong subjective improvement were selected as assistance objects annually by means of territorial recommendation and active registration of employers. The basic information of the enterprise and the status of occupational health management were obtained by means of questionnaire survey, archives review, workplace field investigation and occupational disease hazard factors detection. Pearson <i>χ</i>(2) test was used to analyze the changes of occupational health management before and after helping enterprises. <b>Results:</b> The small and micro enterprises receiving assistance were mainly private enterprises (51.26%, 163/318) and limited liability companies (27.99%, 89/318). The occupational health training rates for enterprise leaders, management personnel, and workers increased from 77.36% (246/318), 82.08% (261/318) and 72.44% (4554/6287) before assistance to 90.57% (288/318), 95.28% (303/318) and 94.40% (5905/6255), the differences were statistically significant (<i>χ</i>(2)=20.60, 27.63, 1092.67, all <i>P</i><0.001). After the assistance, the distribution and wearing of personal protective equipment for workers, the detection of occupational hazard factors in the workplace and occupational health examination by enterprises increased by 3.34%, 18.39%, 13.21% and 15.10%, respectively. In terms of occupational health management, the comprehensive establishment rate of occupational health management system increased from 21.70% (69/318) before assistance to 64.47% (205/318). Compared with before assistance, the comprehensive notification rate/setting rate of warning signs and notification cards, labor contracts for occupational disease hazard positions, occupational health bulletin boards, and occupational health examination results were significantly increased after assistance (<i>χ</i>(2)=120.08, 77.40, 149.18, 86.76, all <i>P</i><0.001) . <b>Conclusion:</b> Suzhou adopts a model led by the health administrative department and supported by technical support from service institutions to assist small and micro enterprises, resulting in a significant improvement in the occupational health management level of small and micro enterprises.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-03-20
DOI
https://doi.org/10.3760/cma.j.cn121094-20231229-00037
Primary Topic
Healthcare Systems and Public Health
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Analysis on the effect of occupational health management assistance to employers in small and micro enterprises in Suzhou City].

Xuejun Zeng, Yong Li, Hongyang Pan, Heng Zhang et al.
PubMed
Healthcare Systems and Public Health
article

[Analysis on the effect of occupational health management assistance to employers in small and micro enterprises in Suzhou City].

Xuejun Zeng, Yong Li, Hongyang Pan, Heng Zhang, Xiaojing Xie
article en

Abstract

<b>Objective:</b> To analyze the impact of occupational health management assistance for small and micro enterprises in Suzhou on employers, exploring the assistance model for occupational health management in small and micro enterprises. <b>Methods:</b> From 2020 to 2022, a total of 318 small and micro enterprises with serious occupational disease hazards, weak occupational health management, and strong subjective improvement were selected as assistance objects annually by means of territorial recommendation and active registration of employers. The basic information of the enterprise and the status of occupational health management were obtained by means of questionnaire survey, archives review, workplace field investigation and occupational disease hazard factors detection. Pearson <i>χ</i>(2) test was used to analyze the changes of occupational health management before and after helping enterprises. <b>Results:</b> The small and micro enterprises receiving assistance were mainly private enterprises (51.26%, 163/318) and limited liability companies (27.99%, 89/318). The occupational health training rates for enterprise leaders, management personnel, and workers increased from 77.36% (246/318), 82.08% (261/318) and 72.44% (4554/6287) before assistance to 90.57% (288/318), 95.28% (303/318) and 94.40% (5905/6255), the differences were statistically significant (<i>χ</i>(2)=20.60, 27.63, 1092.67, all <i>P</i><0.001). After the assistance, the distribution and wearing of personal protective equipment for workers, the detection of occupational hazard factors in the workplace and occupational health examination by enterprises increased by 3.34%, 18.39%, 13.21% and 15.10%, respectively. In terms of occupational health management, the comprehensive establishment rate of occupational health management system increased from 21.70% (69/318) before assistance to 64.47% (205/318). Compared with before assistance, the comprehensive notification rate/setting rate of warning signs and notification cards, labor contracts for occupational disease hazard positions, occupational health bulletin boards, and occupational health examination results were significantly increased after assistance (<i>χ</i>(2)=120.08, 77.40, 149.18, 86.76, all <i>P</i><0.001) . <b>Conclusion:</b> Suzhou adopts a model led by the health administrative department and supported by technical support from service institutions to assist small and micro enterprises, resulting in a significant improvement in the occupational health management level of small and micro enterprises.

PubMedVol. 43(3)
Jiangsu Provincial Center for Disease Control and Prevention (CN), Suzhou Vocational Health College (CN)
Healthcare Systems and Public Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.