Analysis of Factors Affecting Attraction of Medical Teaching Content Based on WeChat Platform

Objectives: Taking the teaching in "Rehabilitation Nursing" carried out in our school as an example, the data research and qualitative analysis were performed to discuss the influence of the factors, such as push time, the number of title characters, media richness and subject content, on the effect of medical teaching based on WeChat platform. Methods: Choosing four variables: push time, title characters number, media richness and subject content, the concept model of influencing factors of attraction degree of medical teaching articles is constructed, and the correlation analysis is carried out by logging in to the background of WeChat management to obtain the relevant data. Results: The reading rate was 91.22% on the first day, 131.62% on the seventh day, and the simple correlation coefficient between the reading rate and the number of title characters was -0.234. When the topic content is a basic skill, the probability of correlation coefficient test between reading rate and media richness is 0.039, and the one-way ANOVA p value of subject content and reading rate is 0.026. Conclusions: The closer the class time is, the higher the reading rate of the article is. The reading rate of pushing articles in advance is greatly influenced by the content of the articles. There is a negative correlation between the number of characters in the title and the reading rate of the article, and it is a weak correlation, the influence of which is not significant. The media richness has a weak influence on the reading rate, and the content of the article has a greater influence on the reading rate. The students are more concerned about the content that may be discussed in the classroom and prefer to read enlightening original articles.