ABSTRACT
Objective:This paper aim to analyze the influencing factors of individual academic performance based on the construction of a research-oriented hospital, to provide possible reference for improving the service of science and technology management.Methods:Selecting 45 experts determine the constituent index and assign value of the academic performance evaluation system by using Delphi method. The index setting emphasized clinical application orientation, and weighted total score was used as the academic performance evaluation standard. Conduct a-350-person anonymous questionnaire survey and use descriptive analysis and multiple logistic regression methods to analyze the influencing factors.Results:The system includes a total number of 6 first-level indicators and 43 second-level indicators. The authoritative coefficients of the consulting experts are 8.5±0.6, and the Kendall of the two rounds of consultation are 0.78 and 0.83( P<0.05). The questionnaire results show that respondents with Ph. D degree, senior professional titles, mentor qualification, from large team and higher scientific research service support have better academic performance. personal background, team support and scientific research services have significant impact on academic performance. Conclusions:In order to improve the scientific research strength of the hospital, it is significant to focus on systematic scientific research training, strengthening discipline teams and research platforms, and improving the professional level of scientific research management.
ABSTRACT
Objective:Based on the analysis of case report and case series studies involving COVID-19 pregnant women in China, we aimed to discuss the updated management requirements for publication of scientific papers at hospitals in the new circumstances and context.Methods:The case report and case series studies published by domestic scholars in the early stage of COVID-19 outbreak were retrieved. Bibliometrics were used to analyze the research time, research content and research objects of the included literatures.Results:Nearly 200 cases (55%) of the 360 cases of COVID-19 pregnant women could not be clearly excluded from the possibility of repeated reporting. However, all these cases were not disclosed in the paper for possible repeated report.Conclusions:Potential repeated report problem may cause trouble for later meta-analysis, which also may have negative impact for the development of clinical guidelines. The departments of scientific research management at hospital should pay more attention to the management of patient′s data in scientific papers, so that it can better serve the accurate assessment of disease characteristics and epidemic situation, as well as the scientific formulation of clinical guidelines and control strategies.