Diagnostic model for preschool workers' unwillingness to continue working: Developed using machine-learning techniques

被引：0

作者：

Matsuo, Moemi ^{[1
]}

Matsumoto, Koutarou ^{[2
,7
]}

Higashijima, Misako ^{[1
]}

Shirabe, Susumu ^{[3
]}

Tanaka, Goro ^{[4
,5
]}

Yoshida, Yuri ^{[5
,6
]}

Higashi, Toshio ^{[4
]}

Miyabara, Hiroya ^{[1
]}

Komatsu, Youhei ^{[1
]}

Iwanaga, Ryoichiro ^{[4
,5
]}

机构：

[1] Nishi Kyushu Univ, Fac Rehabil Sci, Kanzaki, Saga, Japan

[2] Kurume Univ, Biostat Ctr, Kurume, Fukuoka, Japan

[3] Nagasaki Univ, Natl Res Ctr Control & Prevent Infect Dis, Nagasaki, Japan

[4] Nagasaki Univ, Grad Sch Biomed Sci, Unit Med Sci, Nagasaki, Japan

[5] Nagasaki Univ, Ctr Child Mental Hlth Care & Educ, Nagasaki, Japan

[6] Nagasaki Univ, Fac Educ, Nagasaki, Japan

[7] Kurume Univ, Biostat Ctr, 67 Asahimachi, Kurume, Fukuoka 8300011, Japan

来源：

MEDICINE | 2023年 / 102卷 / 02期

关键词：

diagnostic model; machine-learning (ML); mental health; turnover; work environment; KINDERGARTEN TEACHERS; TURNOVER INTENTION; JOB-SATISFACTION; SCHOOL; ENGAGEMENT; LEAVE;

D O I：

10.1097/MD.0000000000032630

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The turnover of kindergarten teachers has drastically increased in the past 10 years. Reducing the turnover rates among preschool workers has become an important issue worldwide. Parents have avoided enrolling children in preschools due to insufficient care, which affects their ability to work. Therefore, this study developed a diagnostic model to understand preschool workers' unwillingness to continue working. A total of 1002 full-time preschool workers were divided into 2 groups. Predictors were drawn from general questionnaires, including those for mental health. We compared 3 algorithms: the least absolute shrinkage and selection operator, eXtreme Gradient Boosting, and logistic regression. Additionally, the SHapley Additive exPlanation was used to visualize the relationship between years of work experience and intention to continue working. The logistic regression model was adopted as the diagnostic model, and the predictors were "not living with children," "human relation problems with boss," "high risk of mental distress," and "work experience." The developed risk score and the optimal cutoff value were 14 points. By using the diagnostic model to determine workers' unwillingness to continue working, supervisors can intervene with workers who are experiencing difficulties at work and can help resolve their problems.

引用

页数：8