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

Kai-Jie Ma, Jui-Lien Hung, Ming-Hsien Chou and Jong-Yi Wang ()
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Kai-Jie Ma: Department of Public Health, China Medical University, Taichung 406040, Taiwan
Jui-Lien Hung: Department of Health Services Administration, China Medical University, Taichung 406040, Taiwan
Ming-Hsien Chou: Department of Public Health, China Medical University, Taichung 406040, Taiwan
Jong-Yi Wang: Department of Health Services Administration, China Medical University, Taichung 406040, Taiwan

IJERPH, 2022, vol. 19, issue 21, 1-14

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.

Keywords: medical professional; risk of disease; systemic disease; diagnosis sequence; data mining (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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