Objective:To investigate the turnover intention and its influencing factors in rural general practitioners in southwest Shandong province.Methods:In May 2020, a survey with self-designed questionnaire was conducted among 2 805 rural general practitioners in southwest Shandong province selected by multi-stage sampling method. Pearson chi square test (χ2) and binary logistic regression were used to analyze the factors influencing the turnover intention of rural general practitioners.Results:A total of 2 805 questionnaires were sent out, 2 693 were collected and 2 272 were valid, with an effective rate of 84.4%. Among 2 272 participants, 1 076 (47.4%) had medium to high level turnover intention. Binary logistic regression showed that part-time job ( OR=1.443, 95% CI: 1.105-1.884, P<0.01), average monthly night shifts ≥20 times ( OR=1.340, 95% CI: 1.106-1.623, P<0.01), daily working time ≥13 hours ( OR=1.358, 95% CI: 1.107-1.666, P<0.01), insomnia ( OR=2.075, 95% CI: 1.755-2.454, P<0.01), feeling depressed at work ( OR=2.987, 95% CI: 2.516-3.546, P<0.01), degree of emotional exhaustion ( OR=3.801, 95% CI: 3.188-4.533, P<0.01) and degree of de-personalization tendencies ( OR=2.493, 95% CI: 2.086-2.981, P<0.01) were the significant factors influencing the turnover intention of rural general practitioners. Conclusions:Rural general practitioners in southwest Shandong have a high-level turnover intention, part-time jobs, average number of night shift per month, working time, insomnia, depression and job burnout are the main factors affecting the turnover intention. Necessary measures should be taken by relevant departments to enhance the stability of rural general practitioners.

Objective:To investigate the utilization of health management services and its influencing factors among new urban population.Methods:It is a cross-sectional study. From July 2020 to March 2021, a stratified random sampling method was used to extract 1978 new urban population in Jining city, and an anonymous self-administered questionnaire survey was conducted using a self-made questionnaire ′Residents Health Questionnaire′. The survey included general demographic characteristics, personal behavior lifestyle and medical care status. The χ2 test and binary logistic regression were used to analyze the factors influencing the utilization of health management services by new urban population. Results:The overall utilization of health management services in the new urban population was 47.22%. There were significant differences in utilization of health management services among new urban population with different gender, age, education level, occupation and monthly income. Binary logistic regression analysis showed that female ( OR=1.354, 95% CI: 1.094-1.676), people aged over 60 years ( OR=1.873, 95% CI: 1.413-2.483), people with a mean monthly income over 3 000 yuan ( OR=1.498, 95% CI: 1.123-1.997), people engaged in light manual labor ( OR=1.596, 95% CI: 1.003-2.539), people who exercise regularly( OR=2.400, 95% CI: 2.028-2.841) and people having social basic medical insurance ( OR=2.633, 95% CI: 2.042-3.394) had better utilization of health management projects. People who sat more than 3 hours a day ( OR=0.630, 95% CI: 0.532-0.745) had lower utilization of health management care. Conclusion:The utilization of health management projects in the new urban population is low. Gender, age, monthly income, physical exercise, sedentary time, daily labor intensity and social basic medical insurance status are the main influencing factors.