Diffusion of Innovative Behavior of the Public Toward Preparing FEMKs:From Innovative Characteristics to Personal Risk Perception and Behavioral Intention

Objective:The study aims to apply diffusion of innovation theory and structural equation modeling(SEM)to explore the current situation of personal risk perception and preparation of family emergency medicine kits(FEMKs)in Shanxi Province during the period of COVID-19.Moreover,the study intends to analyze the impact of innovation characteristics and risk perception to provide reference for the future popularization of FEMKs and the formulation of relevant policies.Methods:A total of 1,606 permanent residents in Shanxi Province were selected as respondents.SEM was used to analyze the relationship among innovation characteristics,personal risk perception,and behavioral intention.Results:The results demonstrate that only observability(λ=0.968)exerted a significant direct impact on the public's behavior of preparing FEMKs.Personal risk perception(λ=0.334)can have a significant direct impact on behavioral intention.Relative advantage,compatibility,and convenience of use exerted significant impacts on behavioral intention by influencing individual perceived risk(mediating effects=0.237,0.892,and 1.044,respectively).Conclusion:Residents are undergoing a period of change(i.e.,from the contemplation to the preparation stage).Thus,innovative characteristics can directly influence the behavior or behavioral intention of preparing FEMKs by influencing the public's risk perception.In the future,studies should focus on publicity and education of the behavior of preparing FEMKs to increase the awareness of residents and effectively improve the FEMKs level of importance given to this behavior.

Construction of an intelligent patient satisfaction assessment system and its application in emergency management

Hospital emergency management work is of great importance which not only related to the life and health of the people but also related to social stability.It is necessary to construct and improve the patient satisfaction assessment system so that doctors and patients can interact in a timely and effective manner,and the hospital can alert or respond promptly.This study constructs a closed-loop emergency management system consisting of patient-end,data center and decision-making-end,and apply the feedback information to hospital emergency management.In the preliminary applications,the system has a significant effect on the hospital emergency management mechanism.The researchers will improve the system in the follow-up study。

Going-out Behaviors of Patients with Chronic Diseases When Purchasing Drugs During Covid-19

Objective:This study sheds light on the going-out behaviors of patients with chronic diseases when purchasing drugs during COVID-19,explores what factors influence these behaviors,and makes recommendations to guarantee the pharmaceutical treatment of patients with chronic diseases.Methods:A questionnaire based on the health belief model(HBM)was designed and convenience sampling was employed to administer the online questionnaires.The influence of the respondents’demographic information on their going-out behaviors was analyzed by means of multiple linear regression.A structural equation model(SEM)was constructed to explore how health beliefs related to chronic diseases and COVID-19 influenced patients’going-out behaviors.Results:A total of 869 questionnaires were analyzed.The structural equation model revealed that while the severity of the chronic disease had a direct positive effect on going-out behaviors(l=0.106),chronic disease behavior barriers had a direct negative effect on their going-out behaviors(l=-0.204).Conclusion:Educational background,co-living situation,and income could influence patients’going-out behaviors.The severity of the chronic disease and chronic disease behavior barriers directly affected patients’going-out behaviors.Furthermore,patients’health beliefs about COVID-19 ultimately affected their going-out behaviors by influencing their health beliefs related to chronic disease.

MANAGING REDISTRIBUTION OF TOLL REVENUE WITH USER HETEROGENEITY

With the explicit consideration of user heterogeneity, i.e., each user has a different value of time （VOT）, this paper examines the system efficiency and social equity of toll revenue redistribution in a bi-mode transportation system. Three schemes of distributing the road toll revenue are proposed, which respectively consider efficiency, equity, as well as efficiency and equity together. With mild assumptions, we prove that the number of auto-motorists decreases and the total social cost increases with transit subsidy share when only marginal operating cost of the transit is covered by its fare. However, when average fixed cost of the transit is further covered, the total social cost is a ＂U＂ shape curve against the transit subsidy share. Numerical results show that the well designed toll revenue redistribution schemes can make the system more equitable while keeping high efficiency. With the increase of user heterogeneity, the Gini coefficient becomes larger while the total social cost goes down.