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Objective To construct a scientific and rational post competency model of human organ donation coordinators. Methods Based on the onion model, the index pool was initially constructed by literature research and behavioral event interview. The index system was screened, modified and improved using Delphi method. The weight of indexes at all levels was determined by analytic hierarchy process. Results The effective response rates of two rounds of Delphi expert inquiries were both 100%, indicating that the expert opinions were highly dependable. The experts' judgment coefficient (Ca), familiarity (Cs) and authoritative coefficient (Cr) were all above 0.7, indicating that the experts' opinions were highly reliable. The expert coordination coefficients (W) were 0.294 and 0.342 (both P<0.001), indicating that experts delivered coordinated opinions and yielded slight difference in understanding the importance of indexes. Finally, according to the "onion model" theory and experts' opinions, a set of coordinator's post competency model including 6 first-level and 55 second-level indexes was established, which comprised an index surface layer, a middle layer and a core layer. Among them, the core layer represented core professional values, the middle layer was personal quality and professional ethics and quality, and the surface layer was interpersonal communication capability, organizational cooperation capability and professional knowledge and lifelong learning capability. Conclusions The post competency model of organ donation coordinators established in this study consists of 6 first-level and 55 second-level indexes, which is highly effective and reliable.
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OBJECTIVE To optimize the extraction process of Xuelian yishen formula. METHODS The contents of total flavone， echinacoside and acteoside， and extraction yield in Xuelian yishen formula were chosen as indexes， entropy weight method-analytic hierarchy process was adopted to determine the weight coefficient. Box-Behnken response surface methodology was used to optimize the extraction process of Xuelian yishen formula with extraction time， solid-liquid ratio and extraction times as factors， using comprehensive score of above indexes as index. RESULTS The optimal extraction process of Xuelian yishen formula was extraction time of 2 h， solid-liquid ratio of 1∶12， extracting for 3 times. Average comprehensive score of 3 validation tests was 96.40 points （RSD＝0.28%）， the deviation of which with predictive value was 0.98%. CONCLUSIONS The optimized extraction process is stable， feasible and reproducible， which can provide reference for the extraction process of Xuelian yishen formula.
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Objective::To establish the evaluation method of Pinelliae Rhizoma (PR) resources by the analytic hierarchy process (AHP) and grey correlation degree (GCD) method, so as to explore the differences in quality components, production efficiency and appearance traits of different germplasm resources cultivated in the same environment. Method::The quality component index, efficiency index, and appearance traits index of 15 germplasm resources were measured, including moisture, total ash, extractives, total acid content, harvest index, yield, drying rate, commodity rate, decay rate and deformability of tubers. Based on AHP and grey correlation method, each indicator data was processed in a comprehensive way, its comprehensive correlation value was calculated, and different PR germplasm resources were comprehensively evaluated. Result::Based on three factors-quality composition, production efficiency and appearance traits, the comprehensive correlation value of A6 was the highest, reaching 0.749 4, which was followed by A14, A15, A7, and their comprehensive correlation values were 0.736 6, 0.726 2, 0.718 2, respectively. Therefore, the source of A6 could be used as an excellent provenance introduced to the cultivation of PR, and the provenance of A14, A15, and A7 could be used as a useful supplement. Conclusion::The method of AHP and GCD-based multi-index comprehensive evaluation is simple and comprehensive to evaluate the diversity of different PR germplasm resources, and could provide a reference for the development and utilization of resources and the screening of high-quality provenances.
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Objective:To optimize the entropy TOPSIS model to evaluate the quality of Hemerocallis Flava from different regions,in order to provide a new evaluation method for the quality control of traditional Chinese medicine. Method:The entropy weight TOPSIS model optimized by analytic hierarchy process(AHP) method was used to analyze the quality of Hemerocallis Flava from 14 different regions, and a comprehensive evaluation index system for the quality of Hemerocallis Flava, which covered 3 layers (target layer,decision layer and index layer),and 10 indexes (corolla of Hemerocallis Flavathe's bud,pistils,stamens,peduncle length,extract,total ash,quercetin,β-rhamnocitrin,kaempferol,sitosterin) was established. Result:Qingyang showed the best quality of Hemerocallis Flava,which was followed by Weinan,and the lowest quality was found in Datong, Shanxi, and Xiaowan village, Sichuan. The results were consistent with the evaluation results of traditional empirical identification,suggesting the successful modeling. The contents of β-rhamnocitrin and kaempferol in Qingyang were 1.72 times and 2.74 times of those of Xiaowan village, Sichuan. There was no significant difference in other active ingredients from different regions. It was suggested that quercetin and kaempferol could be used as the identification and quality evaluation indexes of cauliflower. Conclusion:The entropy TOPSIS model based on the AHP method is clear,simple to use and easy to calculate, with distinct evaluation indexes. It is a practical,quick and effective comprehensive evaluation method for multi-objective decision analysis.
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Objective To construct the clinical core competence evaluation system of junior nurses by the Delphi method combined with Analytic Hierarchy Process method. Methods We consulted 20 nurse specialists by two-round Delphi method to find clinical core competence evaluation index of junior nurses. To determine the weight of each index by Analytic Hierarchy Process method. Results The expert′s judgment coefficient was 0.92, familiar coefficient was 0.96 and authority coefficient was 0.94. The coordination coefficients of one grade, two grade, three grade and all indexes were 0.42, 0.52, 0.54 and 0.51 respectively. There was statistical significance (P < 0.01). The variation coefficients of each indexes were less than 0.2 and the mean of important values were more than 3.5. The clinical core competence evaluation index system of junior nurses was established including 7 one grade indexes, 28 two grade indexes and 55 three grade indexes. Conclusions The clinical core competence evaluation system of junior nurses was scientific and reasonably. It can evaluate the clinical core competence of junior nurses effectively and can supply objective and quantitative standard for the assessment and appointment of junior nurses.