Objective The present study aims to establish a professional knowledge structure for the family planning technical team at the current stage in Zhejiang Province so as to meet the needs of training and offer reference evidences for specific and effective training. Methods This study applied a stratified cluster sampling method to carry out a self-administered questionnaire which was anonymous and including general survey, the situation of training, as well as the professional skill structure. This questionnaire was designed through the method of literature review and based on the actual situation of the operation. It col-lected the information from 365 family planning technical staffs who were from different levels of plan family service agencies in four cities, which were Hangzhou, Jiaxing, Taizhou, Wenzhou, respectively, from April to June in 2016. Epidata 3.0 software was utilized to record the data and the data was analyzed using SPSS version 20.0. Subsequently, the relationship between the mastery of professional skill and demographic characteristics was researched by students' t test and one-way analysis of variance (ANOVA) test. Results The education background, major and the professional title structure of the family planning technical staffs varied among different areas. At present, it seems that most of the family planning technical staffs have an aspiration to attend training and 97.53% of them wanted to get professional knowledge through training. The result was not satisfactory when surveyed 298 staff for the mastery of knowledge and skills: 3.66% (9/246) for pelvic floor rehabilitation training, 7.42% (19/256) for genetic counseling, 4.9% (12/245) for prena-tal screening, 5.26% (13/247) for screening and prevention of common breast diseases and 6.22% (15/241) for infertility treatment. There was a significant difference (P=0.000) among the different levels of plan family service agency, education background, major, occupation type and professional title in the mastery of professional knowledge and skill. Conclusion It is necessary to improve the training plan and conduct clas-sification and layering training since the knowledge and skills of family planning technical personnel can not meet the needs of reproductive health services at the new period.

Purpose: This study aimed to identify the risk factors and sonographic variables that could be integrated into a predictive model for endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) in women with abnormal uterine bleeding (AUB). Materials and Methods: This retrospective study included 1837 patients who presented with AUB and underwent endometrial sampling. Multivariable logistic regression was developed based on clinical and sonographic covariates [endometrial thickness (ET), resistance index (RI) of the endometrial vasculature] assessed for their association with EC/AEH in the development group (n=1369), and a predictive nomogram was proposed. The model was validated in 468 patients. Results: Histological examination revealed 167 patients (12.2%) with EC or AEH in the development group. Using multivariable logistic regression, the following variables were incorporated in the prediction of endometrial malignancy: metabolic diseases [odds ratio (OR)=7.764, 95% confidence intervals (CI) 5.042–11.955], family history (OR=3.555, 95% CI 1.055–11.971), age ≥40 years (OR=3.195, 95% CI 1.878–5.435), RI ≤0.5 (OR=8.733, 95% CI 4.311–17.692), and ET ≥10 mm (OR=8.479, 95% CI 5.440–13.216). :A nomogram was created using these five variables with an area under the curve of 0.837 (95% CI 0.800–0.874). The calibration curve showed good agreement between the observed and predicted occurrences. For the validation group, the model provided acceptable discrimination and calibration. Conclusion The proposed nomogram model showed moderate prediction accuracy in the differentiation between benign and malignant endometrial lesions among women with AUB.