Research On Information Sharing Behavior Of Medical Association Doctors Based On Task-technology Fit Theory

ObjectiveThis paper constructs the research model of information sharing behavior of medical association doctors,analyzes the matching degree between the task characteristics of chronic disease management and the technical characteristics of information system and its influence on information sharing behavior,then analyze the key factors influencing the doctors' chronic disease information sharing behavior,so as to provide empirical evidence for improving medical association information sharing.Contents1.Application field and variable analysis of task-technology fit theory.2.Establishment of information sharing behavior model of medical association doctors and definition of variable contents.3.Analysis of the effect of task characteristics and technical characteristics on task-technology fit and the effect of task-technology fit on information sharing behavior in the background of medical association chronic diseases information sharing.4.Cognitive differences between different doctors on information sharing behavior and its influencing factors.5.Suggestions on improving information sharing of medical association.MethodsThis study uses qualitative research and quantitative research methods.First of all,we review and collect the literatures on the research of task-technology fit theory,information system use and information sharing behavior at home and abroad,sort out and summarize the research variables and measurement dimensions of the task-technology fit theory model at home and abroad,and build the information sharing behavior research model of medical association doctors,combined with in-depth interviews to understand the status of chronic diseases information sharing of medical association and modify the questionnaire.Based on the data collected from the questionnaire survey,the basic structure and distribution characteristics of the recovered samples were analyzed by descriptive statistical method.The reliability and validity of the samples were analyzed by reliability analysis,exploratory factor analysis and confirmatory factor analysis.The analysis of variance was used to test whether the cognition of the chronic diseases information sharing behavior and its influencing factors in the medical association was different due to the difference of sex,age,educational background and chronic disease management system using time weekly.Using SEM(Structural Equation Modeling),quantitatively analyze the impact path and effect size between task characteristics,technical characteristics,task-technology fit and information sharing behavior.Results1.Application field and variable analysis of task-technology fit theory.On the basis of understanding the proposition and evolution of task-technology fit theory,combing the main variables and measurement dimensions of task-technology fit theory in the field of work,non-work and health information,the research variables are selected as task characteristics,technical characteristics,task-technology fit and information sharing behavior.2.Establishment of information sharing behavior model of medical association doctors and definition of variable contents.Construct the theoretical model,define the research variables in the model and propose the three hypotheses of this study.3.Questionnaire design and data acquisition.Through the results of pre-survey(small-scale interviews and small-scale sample pre-test),the task characteristics,technical characteristics and information sharing behaviors are measured by two dimensions and six items,task-technology fit is measured by five dimensions and 15 items,and a formal questionnaire is formed and is distributed large-scale.4.Data analysis and hypothesis testing.There were significant differences in the cognitive of chronic diseases information sharing behavior and its influencing factors of medical association doctors with different age,educational background and chronic disease management system using time.According to the SEM,the standardized path coefficient of the "task characteristic?task-technology fit "is 0.487,the t test value is 6.306,and the level of 0.001 is significant,assuming that 1 is established;the standardized path coefficient of "technical characteristic?task-technology fit "is 0.711,the t test value is 3.460 and is significant at the level of 0.001,assuming that 2 is established;the standardized path coefficient of the" task-technology fit?information sharing behavior" is 0.614,the t test is 4.547,and is significant at the level of 0.001,assuming that 3 is established.Conclusions1.Through the exploratory factor analysis and confirmatory factor analysis,the measurement dimension of task characteristics,technical characteristics,task-technology fit and information sharing behavior are obtained.2.There is a certain difference in the cognition of information sharing behavior and its influencing factors between different doctors,which is manifested in three aspects:age,educational background and chronic disease management system using time weekly.3.In the context of medical association,the task characteristics of chronic disease management and the technical characteristics of chronic disease management system have significant positive effects on task-technology fit.The influence of technical characteristics on task-technology fit is greater than the influence of task characteristics.4.Doctors' perception of task-technology fit of the chronic disease management system positively affects the information sharing behavior.Suggestions1.Being user-centric and demand-oriented,improve the level of task-technology fit constantly.2.Improve the construction of information security system.3.Develop information standards to achieve medical data integration and sharing.4.Strengthen the construction of doctors.