# Table 5 Binary logistic regression analyses on RTMSs’ intentions to remain after the contract expires (N = 230)

Explanatory variables Binary logistic regression (Base outcome: 0 = No; 1 = Yes/Unsure)
Model 1 Model 2 Model 3
B (Std. Error) Odds Ratio P-value B (Std. Error) Odds Ratio P-value B (Std. Error) Odds Ratio P-value
Intercept 1.094 (1.167)    5.981 (2.141)    3.233 (2.340)
Gender (Male) - 0.824 (0.373) 0.439 0.027 - 1.201 (0.412) 0.301 0.004 - 1.210 (0.443) 0.298 0.006
location of hometown (Rural area) 1.354 (0.705) 3.873 0.055 1.545 (0.762) 4.687 0.043 1.285 (0.819) 3.615 0.117
Family monthly income (reference value: no regular income)
≤ 3000 Yuan - 0.835 (0.422) 0.434 0.048 - 0.937 (0.482) 0.392 0.052 - 0.794 (0.529) 0.452 0.133
Father’s occupation (reference value: farmer)
Worker - 2.615 (1.254) 0.073 0.037 - 3.259 (1.496) 0.038 0.029 - 2.858 (1.435) 0.057 0.046
Mother’s education (reference value: postsecondary or above)
Junior high school - 2.824 (1.314) 0.059 0.032 - 3.272 (1.519) 0.038 0.031 - 3.279 (1.644) 0.038 0.046
Primary school or below - 2.959 (1.307) 0.052 0.024 - 3.281 (1.523) 0.038 0.031 - 3.069 (1.647) 0.046 0.062
Understanding the conditions of policy before enrolling (Reference value: very or relatively well)
Don’t understand     - 2.828 (1.333) 0.059 0.034 - 1.740 (1.382) 0.176 0.208
Final arbiter of policy choice (reference value: myself)
Parents     - 1.420 (0.418) 0.242 0.001 - 1.444 (0.435) 0.236 0.001
Cognition of value of rural medical work (reference value: very or relatively valuable)
Generally valuable     - 1.123 (0.423) 0.325 0.008 - 1.069 (0.461) 0.343 0.020
Satisfaction with educational scheme       0.444 (0.202) 1.559 0.028
1. Method = Enter