Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection index. The weight of 12 indexes was completed by the analytic hierarchy process, and the consistency test was passed. The membership function, evaluation matrix and evaluation model were built by fuzzy mathematics. The introducted methods enhanced the scientificity of the evaluation system. Through the Kappa consistency test, McNemer statistical results (P = 0.995 > 0.05) and Kappa values (Kappa = 0.616, P < 0.001) suggest that the comprehensive evaluation results of model in this paper are relatively consistent with the clinical, which is of certain scientific significance for the early detection of cardiovascular diseases.
Objective To construct a quality evaluation index system for healthcare-associated infection (HAI) management, and conduct an empirical evaluation on the quality of HAI management in clinical departments. Methods The literature research method and panel discussion method were adopted to initially form the framework of HAI management quality evaluation index system, and the Delphi method and the analytic hierarchy process were used to establish the index system and determine the weights from January to December 2018. Eight comprehensive evaluation methods, such as osculating value method and technique for order preference by similarity to an ideal solution method, were used to evaluate the quality of HAI management in clinical departments of West China Hospital, Sichuan University in 2018. Kendall’s coefficient of concordance (W) was used to assess the consistency of the results. The clinical departments were ranked by the standardized total scores, which were the means of the normalized scores of the eight methods. Results A quality evaluation index system for HAI management with 3 first-level indicators and 15 second-level indicators was established finally. The results of the eight comprehensive evaluation methods for the quality evaluation of HAI management in 39 clinical departments of West China Hospital, Sichuan University were consistent (W=0.952, χ2=259.800, P<0.001). The standardized total score of Department 18 was 100, which ranked the first place. Conclusion The HAI management quality evaluation index system constructed in this study could be used in clinical departments to evaluate the quality of HAI management in combination with comprehensive evaluation methods.
Objective To establish an evaluation index system for the quality and safety of day surgery, and provide standard and professional quantitative bases for monitoring and management of day surgery quality. Methods From December 2021 to May 2022, based on the frame work of the three-dimensional “structure-process-outcome” quality model, two rounds of Delphi method interviews were conducted with 15 day surgery-related management experts, and analytic hierarchy process was used to calculate the weight of each index. Results The effective questionnaire recovery rates of the two rounds of surveys were both 100%; the expert authority coefficients were 0.94 and 0.98, respectively; the variation coefficients were 0.00-0.30 and 0.00-0.24, respectively; the Kendall coordination coefficients were 0.382 (P<0.05) and 0.266 (P<0.05), respectively; and the consistency ratios of all levels were less than 0.1. The final day surgery quality and safety evaluation index system included 3 first-level indicators, 10 second-level indicators, and 43 third-level indicators. Conclusions The quality and safety evaluation index system of day surgery is scientific, reasonable and comprehensive. It can provide a reference for the quality and safety evaluation of day surgery and solidly promote the high-quality development of public hospitals.