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Objective:To explore the mediating role of negative cognitive processing bias between pathological narcissism and interpersonal conflict of college students.Methods:The pathological narcissism, negative cognitive processing bias and interpersonal conflict of 540 college students were investigated by the super brief-PNI, negative cognitive processing bias questionnaire and NRI-relationship quality version.Descriptive analysis, correlation analysis and reliability test of the questionnaires were conducted by SPSS 27.0 software.Amos 23.0 software was used for structural equation modeling, and the nonparametric percentile Bootstrap method based on deviation correction was used for intermediary effect test.Results:The scores of pathological narcissism, negative cognitive processing bias and interpersonal conflict were (3.33±0.86), (2.41±0.60) and (2.34±0.77), respectively.Pathological narcissism, negative cognitive processing bias and interpersonal conflict were significantly positively correlated ( r=0.38-0.94, all P<0.01). Negative cognitive processing bias played full mediating role in the relationship between pathological narcissism and interpersonal conflict. The model was well fitted ( χ2/ df=2.63, CFI =0.99, NFI=0.98, IFI=0.99, TLI=0.98, RMSEA=0.05). Path analysis and mediation test showed that pathological narcissism had a significant predictive effect on the total effect of interpersonal conflict among college students ( β=0.52, P<0.001). Pathological narcissism had a significant predictive effect on negative cognitive processing bias ( β=0.64, P<0.001). Negative cognitive processing bias had a significant predictive effect on interpersonal conflict ( β=0.76, P<0.001). Pathological narcissism didn’t predict the direct effect of interpersonal conflict significantly ( β=0.03, P>0.05). Conclusion:Pathological narcissism has a positive predictive effect on interpersonal conflict among college students.Negative cognitive processing bias plays a complete intermediary role between pathological narcissism and interpersonal conflict.
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The policy implementation model of G. C. Edwards was used to analyze the public policy health impact assessment in Zhejiang province, and summarize its practice and existing problems in four aspects of policy implementation standards, policy resources, policy executors′ intention and management organization structure, so as to provide reference for promoting the national health impact assessment pilot work. The analysis results showed that Zhejiang province has initially established the public policy health impact assessment mechanism and achieved phased results, but there were still some problems, including the imperfection of policy content and implementation strategy, the inadequacy of leadership decision-making and top-level design, the difference in attitude, understanding and implementation preference of policy implementation subjects, and the ambiguity of the authority and responsibility system of each department in cooperation. In order to further promote the smooth development of public policy health impact assessment, Zhejiang province should actively promote the top-level design to strengthen policy support, integrate and optimize policy resources, gradually establish and improve the health governance mechanism of multiple and overall coordination, and promote the high-quality development of public policy health impact assessment by taking cross departmental cooperation as the path of health co-construction.
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Objective:To analyze the satisfaction of referral patients for the medical services provided by the countywide medical community, for reference in further improving its quality and continuity of medical services.Methods:From April to July 2021, a systematic sampling method was adopted to selected the survey subjects from the outpatients from the leading hospitals and three affiliated units of two medical communities, as well as those from two county-level hospitals of non medical communities and five grass-roots medical and health institutions. A total of 660 patients were included in the questionnaire survey. The questionnaire covered key demographic information and 15 satisfaction questions under 4 dimensions. The propensity score matching method was used to reduce confounding factors, factor analysis was used to calculate the satisfaction of referral patients in the medical community group and the non-medical community group, and the systematic dynamics approach was used to analyze the effect of patient satisfaction on referral intention.Results:A total of 641 valid questionnaires were collected. Based on a 1∶2 propensity score matching, 591 patients were finally enrolled, consisting of 102 up-referral cases from the non-community group and 273 such cases from the community group, as well as 76 down-referral cases from the non-community group and 140 such cases from the community group. The overall satisfaction scores by both up and down referral patients were 4.26(1.01)and 4.29(1.14)respectively.The overall satisfaction, medical service satisfaction, technical service quality satisfaction and non-technical service quality satisfaction of up-referral patients, as well as the overall satisfaction, non-technical service quality satisfaction of down-referral patients of the community group were higher than those from the non-community group, with differences statistically significant( P<0.05). The higher satisfaction of patients with their referral in the community, the stronger their referral willingness. Conclusions:The overall satisfaction of refrerral patients in the medical community group is higher than that of the non medical community group. The construction of county medical community has promoted the improvement of satisfaction of referral patients. However, it is still imperative to encourage high-quality medical resources to support primary institutions, to enhance the service level of primary medical and health institutions, to implement differentiated medical insurance reimbursement policies, and to improve the continuity of medical services within the community.
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Objective:To build a performance evaluation index system of health project supervision for higher level of project supervision.Methods:The performance evaluation index system of project supervision was established by means of literature analysis, AHP method, and two rounds of expert consultation. In April 2019, data of health projects of both provincial and city level were collected through field investigation, and project supervision institutions were evaluated by means of weighted comprehensive scoring method, TOPSIS method and rank sum ratio.Results:The system was established with 7 level-1 indexes, 17 level-2 indexes and 42 level-3 indexes. Empirical results showed that the performance of health project supervision in Hebei province was generally stable at a high level from 2014 to 2018, yet with rooms of improvement in supervision technology and policy translation.Conclusions:Health project supervision in Hebei province should keep up with the forefront of performance management policy to explore new horizons, and establish the project fund management system study based on fiscal authorization and expenditure liability, and to enhance technical means in supervision, so as to improve supervision efficiency in the meantime of " burden alleviation" .