ABSTRACT
Objective To build the index about the training effect of oncology specialist nurse and test the reliability and validity.Methods By consulting literature and the methods of Delphi,which was consulted by the 9 experts and the two rounds of 35 experts,the original index was estabhshed.The correlation coefficient and validity of the index was evaluated.Results A total of the index was consist of 106 first-l,second-land third-llevel items.Questionnaire recovery rate was 100％ (35/35).The level of authority was 0.816.Expert opinion concentration in various purposes mean variation coefficient was less than 0.244 2.The coordination level of expertise was 0.302.The overall reliability Cronbach α was 0.963.Adopting the method of double variable Spearman calculated the correlation coefficient was above 0.428.Cronbach a of second-and third-level indexes were 0.512-0.895.The second-land third-level indexes correlation coefficient were 0.428-0.931.Conclusions The index about the training effect of oncology specialist nurse has the high authority and representative.The reliability and validity of the index are better,which can be used to evaluate the efficacy of the evaluation about the training of oncology specialist nurse.
ABSTRACT
A design of ECG monitor was presented in this paper. It is based on the latest MCU and BLE4.0 technologies and can interact with multi-platform smart devices with extra low power consumption. Besides, a clinical expansion part can realize functions including displaying the real-time ECG and heart rate curve, reading abnormal ECG signals stored in the monitor, and setting alarm threshold. These functions are suitable for follow-up use.
Subject(s)
Humans , Electrocardiography , Equipment Design , Heart Rate , Signal Processing, Computer-AssistedABSTRACT
Objective To evaluate the value of ultrasonic quantitative method in the diagnosis of liver fibrosis in chronic hepatitis B (CHB) patients. Methods Ultrasonography was performed in 186 CHB patients who underwent liver biopsies. Fifteen indices including liver capsule thickness and fourteen texture parameters of gray level co-occurrence matrix were extracted from standard sonograms and compared with fibrosis stages by histopathology. The status of liver fibrosis was divided into five stages from S0 to S4 by histopathology based on the disease severity. ANOVA and Spearman correlation analysis were applied to analyze the differences and relationships between these indices and pathological stage, respectively. Then discriminant analysis models were established based on the indices for quantitative diagnosis of liver fibrosis. Results Among the fifteen indices, including liver capsule thickness, only the variance (F=0. 55, r=0. 06; both P＞0. 05), sum average (F=0.61, both r=0.05 ; P＞0.05), sum entropy (F=1.68, r=0.09; both P≥0.05) and entropy (F=1.39,r=0.12; both P＞0.05) were not significantly associated with the stages and not manifested linear correlation. Using biopsy results as gold standard, the correct rank rate of discriminant analysis model analysis in the patients staged from S0 to S4 were 80. 0%, 64. 9%, 61.3%, 74. 1% and 80.6 %, respectively. There were 73.1% of cross-validated cases who were accurately classified by the model analysis. The sensitivity, specificity and accuracy in patients with stage ≥ 1 were 97. 6%,80.0% and 91.9%, respectively; those in patients with stage≥2 were 92.1%, 89.7% and 90.9%,respectively; those in patients with stage≥3 were 94.8%, 96.1% and 95.7%; and those in patients with stage 4 were 80. 6%, 97.4 % and 94.6%, respectively. When considered S0 as no fibrosis, S1 as mild fibrosis, S2 and S3 as moderate to severe fibrosis and S4 as early cirrhosis, the consistence rates between discriminant analysis model and biopsy result were 81.7%, 78. 4%, 56. 9% and 90.3%,respectively. There were 74.7% of cross-validated cases who were correctly classified. The sensitivity, specificity and accuracy of the models for determining the fibrosis severity in patients≥mild fibrosis were 97.6%, 81.7% and 92.5%, respectively; those in patients ≥ moderate to severe fibrosis were 83. 1%, 94.8% and 89.2%, respectively; those in patients with early cirrhosis were 90.3%, 93.5% and 93.0%, respectively. Conclusion As a novel and noninvasive method, ultrasonic texture analysis could quantitatively determine liver fibrosis in CHB patients and is worthy of further investigation.