ABSTRACT
Objective:To explore the current situation of evidence-based practice competence of masters of nursing specialist at Class Ⅲ hospitals and its influencing factors so as to provide decision-making basis for optimizing the construction and educational management of clinical teaching base for masters of nursing specialist.Methods:From July to October 2021, 141 masters of nursing specialist of Class Ⅲ hospitals in Tianjin were selected as subjects by purposive sampling. All students were investigated with the Chinese version of Evidence Based Practice Evaluation Competence Questionnaire (EBP-COQ) and the Barriers to Research Utilization Scale. Multiple linear regression was used to analyze the influencing factors.Results:Among 141 masters of nursing specialist, the total scores of the EBP-COQ and the Barriers to Research Utilization Scale were 95.35 ± 11.90 and 72.52 ± 26.28 respectively. Multiple linear regression analysis showed that the influencing factors of evidence based practice competence of masters of nursing specialist included the results of availability and the awareness of evidence-based nursing ( r = -2.85, -2.41, both P<0.05). Conclusions:Masters of nursing specialist have the intermediate level of evidence-based practice competence and positive attitudes to evidence based practice, but their evidence-based knowledge and skills need to be improved. Clinical teaching base managers should pay attention to the training of evidence-based nursing practice ability of professional nursing master students, provide more supportive resources and environment, and promote the development of specialty nursing practice.
ABSTRACT
To evaluate the feasibility of real-time myocardial contrast echocardiography (RTMCE) by quantitative analysis of myocardial perfusion in rabbits, transthoracic RTMCE was performed in 10 healthy rabbits by using continuous infusion of SonoVue into the auricular vein. The short axis view at the papillary muscle level was obtained. The duration of the time that the contrast took to appear in right heart, left heart and myocardium was recorded. The regional myocardial signal intensity (SI) versus refilling time plots were fitted to an exponential function: y(t) =A(1-e(-beta(t-t0))) + C, where y is SI at any given time, A is the SI plateau that reflects myocardial blood volume, and beta is the slope of the refilling curve that reflects myocardial microbubble velocity. The A, beta and Axbeta values at different infusion rate of SonoVue were analyzed and the A, beta and Axbeta values in each segment in the short axis view at the papillary muscle level were compared. All the animal experiments were successful and high-quality images were obtained. The best intravenous infusion rate for SonoVue was 30 mL/h. The contrast appeared in right heart, left heart and myocardium at 7.5+/-2.2 s, 9.1+/-2.4 s and 12.2+/-1.6 s respectively. After 16.6+/-2.3s, myocardial opacification reached a steady state. The mean A, beta and Axbeta value in the short axis view at the papillary muscle level were 9.8+/-3.0 dB, 1.4+/-0.5 s(-1) and 13.5+/-3.6 dBxs(-1) respectively. A, beta and Axbeta values showed no significant differences among 6 segments. It was suggested that RTMCE was feasible for quantitative analysis of myocardial perfusion in rabbits. It provides a non-invasive method to evaluate the myocardial perfusion in rabbit disease models.