Objective To identify the influencing factors for rural doctors′ training effect,and suggest on the improvement of such training.Methods On the basis of rural doctors′ survey,the theory of pre-intervention was used to probe into the influencing factors for such training in five dimensions of attention notice,mega-cognitive strategies,advance organizer,goal orientation,and preparatory information.Results 73.2% of the groups were found with satisfying effect.In the single factor analysis,comparison of training effect involving such factors as age,gender,length of work life and pre-intervention revealed statistical significance(P<0.05).As shown in the logistic regression analysis,High motivation in meta-cognitive strategies,Clear goals in goal orientation,Tiered and categorized training in advance organizers,and Practical learning in preparatory information,as well as variants like age would influence rural doctors′ training effect significantly.Conclusions The key to better training effect lies in better motivation of the trainee,setting correct training goals,emphasis on the practicability of training contents and,the pertinence of the training objects.

At present, the cultivation of exploratory thinking and the ability to use medical public big data is easy to be ignored, which leads to the obvious lack of the ability of graduate students in oncology to use public big data to discover and confirm new clinical phenomena and new laws in scientific research. This study introduces the access and download tools of common medical big databases such as TCGA, introduces the learning method of repeated classic analysis cases, and proposes research methods to verify clinical hypothesis using public big data. It is expected to provide useful enlightenment and reference for improving the research ability of graduate students in oncology specialty to find clinical problems and summarize scientific laws.

Utilizing of the WeChat Mini Programs (WMPs) in optimizing the paradigm of Continuing Medical Education (CME) is a promising avenue to improve training mode for physician. Here, we introduce the development status of WMP, and classify them into professional societies, hospital departments, academic institutions, pharmaceutical technology companies and individuals according to the operation subjects. This paper also analyzes the advantages and disadvantages of WMPs, and puts forward the establishment of authoritative and highly recognized mini programs that can be awarded CME credits. Through the "Internet plus medical care" strategy, we should integrate network resources to enhance the overall level of continuing medical education, so as to provide a good platform for related medical workers.

The tumor immune microenvironment (TIME) is broadly composed of various immune cells, and its heterogeneity is characterized by both immune cells and stromal cells. During the course of tumor formation and progression and anti-tumor treatment, the composition of the TIME becomes heterogeneous. Such immunological heterogeneity is not only present between populations but also exists on temporal and spatial scales. Owing to the existence of TIME, clinical outcomes can differ when a similar treatment strategy is provided to patients. Therefore, a comprehensive assessment of TIME heterogeneity is essential for developing precise and effective therapies. Facilitated by advanced technologies, it is possible to understand the complexity and diversity of the TIME and its influence on therapy responses. In this review, we discuss the potential reasons for TIME heterogeneity and the current approaches used to explore it. We also summarize clinical intervention strategies based on associated mechanisms or targets to control immunological heterogeneity.

Objective To make a comprehensive analysis of the satisfaction and preferences of rural doctors'incentive measures,and to identify the incentives that need to be optimized.Methods The method of multi-stage stratified random sampling was used to investigate the rural doctors in Shandong province in 2015.This survey called into play the sample mean and standard deviation for descriptive analysis.And according to Maslow's Hierarchy of Needs theory, the scoring and ranking of different levels and specific incentive measures were calculated.The important quadrant model which combined with motivational preference and satisfaction of incentive measures was used to analysis them.Results The top preference for rural doctors was survival demand,scoring 4 284.Among the specific incentives,the top wss lower medical practice risk,scoring 945.75.In combination with satisfaction analysis, 7 incentive measures, including improving welfare and policy assurance, were now in the state of low satisfaction and high preference. Conclusions In terms of demand level,the survival incentive factor tops the needs of rural doctors.In the specific incentive measures, the seven incentives, such as lower practice risk, deserve more attention. Relevant departments should actively improve and implement these seven measures in order to maximize their motivation for rural doctors.