The mediating effect of literacy of LMS between self-evaluation online teaching effectiveness and self-directed learning readiness.

The aim of this study was to analyze whether the self-evaluation online teaching effectiveness (SEOTE) and literacy of learning manage system (LLMS) did significantly have effect on the level of self-directed learning readiness (SDLR). Furthermore, it was another purpose to examine whether the LLMS was a significant mediating effect between SEOTE and SDLR. Pearson correlation, multiple linear regression, and mediated regression analysis were conducted for this study. This study included 210 online college students in Korea who responded to three web-survey questionnaires (SEOTE, LLMS, and SDLR). The bivariate (Pearson) correlation analysis showed that SEOTE significantly influenced on SDLR (r=524, p<.01) and LLMS was positively associated with SDLR (r=487, p<.01). The multiple linear regression revealed that SEOTE and LLMS significantly predicted SDLR and explained 31.4% of variance in SDLR. The results of mediated regression analysis revealed that LLMS did have a significant indirect or mediating effect with SEOTE in predicting SDLR.

[Value of sepsis single-disease manage system in predicting mortality in patients with sepsis].

Objective: To observe the effect of sepsis single-disease manage system on the improvement of sepsis treatment and the value in predicting mortality in patients with sepsis. Methods: A retrospective study was conducted. Patients with sepsis admitted to the Department of Surgical Intensive Care Unit of Sun Yat-Sen University First Affiliated Hospital from September 22, 2013 to May 5, 2015 were enrolled in this study. Sepsis single-disease manage system (Rui Xin clinical data manage system, China data, China) was used to monitor 25 clinical quality parameters, consisting of timeliness, normalization and outcome parameters. Based on whether these quality parameters could be completed or not, the clinical practice was evaluated by the system. The unachieved quality parameter was defined as suspicious parameters, and these suspicious parameters were used to predict mortality of patients with receiver operating characteristic curve (ROC). Results: A total of 1 220 patients with sepsis were enrolled, included 805 males and 415 females. The mean age was (59±17) years, and acute physiology and chronic health evaluation (APACHE Ⅱ) scores was 19±8. The area under ROC curve of total suspicious numbers for predicting 28-day mortality was 0.70; when the suspicious parameters number was more than 6, the sensitivity was 68.0% and the specificity was 61.0% for predicting 28-day mortality. In addition, the area under ROC curve of outcome suspicious number for predicting 28-day mortality was 0.89; when the suspicious outcome parameters numbers was more than 1, the sensitivity was 88.0% and the specificity was 78.0% for predicting 28-day mortality. Moreover, the area under ROC curve of total suspicious number for predicting 90-day mortality was 0.73; when the total suspicious parameters number was more than 7, the sensitivity was 60.0% and the specificity was 74.0% for predicting 90-day mortality. Finally, the area under ROC curve of outcome suspicious numbers for predicting 90-day mortality was 0.92; when suspicious outcome parameters numbers was more than 1, the sensitivity was 88.0% and the specificity was 81.0% for predicting 90-day mortality. Conclusion: The single center study suggests that this sepsis single-disease manage system could be used to monitor the completion of clinical practice for intensivist in managing sepsis, and the number of quality parameters failed to complete could be used to predict the mortality of the patients.