A Study On The Prevalence And The Influencing Factors Of Sub-health Status Of Medical Staff

Objective:This paper is to study the prevalence of sub-health status of medical staff, to analyze the influencing factors, and to provide related evidences for developing the prevention and control measures for sub-health status of medical staff.Methods:The study used questionnaire to collect data. According to the selection criteria,4districts were selected, which were Luwan districts Huangpu district、Xuhui district and Pudong New district..15hospitals including5first-level hospital,5second-level hospital and7third-level hospital were selected as the investigation sites, randomized to select medical staff in these15investigation sites. The selected medical staff completed questionnaire after getting related guidance. The influencing factors for sub-health status of medical staff include personal information working status%behavior and habits in daily life%family and hospital information. The statistical analysis methods include Chi-square test for univariate analysis, binary logistic regression and two-level linear multilevel model for multivariate analysis.Results:The current prevalence of sub-health status of medical staff was40.4%. The prevalence of sub-health status of medical staff in the third-level hospital was higher than those in the first-level hospital. The prevalence of sub-health status of medical staff in emergency room was the highest among the five departments in hospitals. The results of two-level linear multilevel model showed that:six influencing factors at personal level including off-time numbers、out-patients numbers、talking cautiously with patients、the method to release pressure、sex、family and friends support, and one influencing factor at hospital level which is the use rate of bed have significant influence on sub-health status of medical staff.Conclusion:the prevalence of sub-health of medical staff was different according to different personal information、different levels of hospital、different working status、 different psychological factors and different family information. The two-level linear mul-tilevel model was better than binary logistic regression to analyze multilevel data to get more accurate and practical results.