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

Kai-Jie Ma; Jui-Lien Hung; Ming-Hsien Chou; Jong-Yi Wang

doi:10.3390/ijerph192114017

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

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

Authors

Kai-Jie Ma¹, Jui-Lien Hung², Ming-Hsien Chou^{1

3

4

5}, Jong-Yi Wang²

Affiliations

¹ Department of Public Health, China Medical University, Taichung 406040, Taiwan.
² Department of Health Services Administration, China Medical University, Taichung 406040, Taiwan.
³ Department of Physical Medicine and Rehabilitation, Taichung Armed Forces General Hospital, Taichung 411228, Taiwan.
⁴ Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, Taipei 114202, Taiwan.
⁵ Section of Physical Medicine and Rehabilitation, School of Medicine, National Defense Medical Center, Taipei 114201, Taiwan.

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: data mining; diagnosis sequence; medical professional; risk of disease; systemic disease.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Mining
Humans
Physicians*
Taiwan / epidemiology
Workload*
Workplace

Grants and funding

This research was funded by Taiwan Ministry of Science and Technology [grant number: MOST110-2410-H-039-001 and MOST111-2410-H-039-001-MY2] and China Medical University [grant number: CMU110-MF-123 and CMU111-MF-90].