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台湾地区医疗专业人员的系统性疾病诊断模式:统计分析与数据挖掘。

Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining.

机构信息

Department of Public Health, China Medical University, Taichung 406040, Taiwan.

Department of Health Services Administration, China Medical University, Taichung 406040, Taiwan.

出版信息

Int J Environ Res Public Health. 2022 Oct 27;19(21):14017. doi: 10.3390/ijerph192114017.

Abstract

INTRODUCTION

Although high-risk work environments and heavy workload expose medical professionals to long-term risks of disease, no comprehensive analysis has been conducted on the corresponding risks of diseases to each type of medical professionals. This study pre-analyzed the risks of medical professionals in developing various systemic diseases in Taiwan to provide a comprehensive examination of the differences between each type of systemic disease.

METHODS

From the secondary databases of 2002-2013, 15,407 medical professionals were selected for analysis. A chi-squared test and logistic regression were performed to identify the relationship between types of medical professionals and systemic diseases. The life trajectories of diagnosis sequence of the medical professionals were illustrated accordingly.

RESULTS

The physicians were the most vulnerable to infectious, parasitic, and digestive diseases. This was possibly associated with their work characteristics and occupational risks.

CONCLUSION

According to the life trajectories, all types of the medical professionals exhibited a similar trend in the orders of risks to each type of systemic disease, which suggests that their work environment exposes them to real risks of health hazard.

摘要

简介

尽管高风险的工作环境和繁重的工作量使医务人员长期面临患病风险,但尚未对每种类型医务人员的相应疾病风险进行全面分析。本研究对台湾地区医务人员罹患各种系统性疾病的风险进行了预分析,为全面检查各种系统性疾病之间的差异提供了参考。

方法

从 2002 年至 2013 年的二级数据库中,选择了 15407 名医务人员进行分析。使用卡方检验和逻辑回归来确定医务人员类型与系统性疾病之间的关系。并据此说明了医务人员诊断序列的生活轨迹。

结果

医生最容易感染传染病、寄生虫病和消化系统疾病。这可能与他们的工作特点和职业风险有关。

结论

根据生活轨迹,所有类型的医务人员在每种系统性疾病风险的顺序上表现出相似的趋势,这表明他们的工作环境确实使他们面临健康危害的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f307/9657375/601e3267d704/ijerph-19-14017-g001.jpg

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