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Research On Factors Of Behavioral Intentions To Chronic Disease Management Information Systems

Posted on:2021-08-30Degree:MasterType:Thesis
Country:ChinaCandidate:C C DongFull Text:PDF
GTID:2494306107954719Subject:Books intelligence
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[Purpose]As the prevalence and mortality of chronic diseases increase year by year,the information management of chronic disease prevention and treatment seems to be important.But the efficiency of China’s chronic disease information system is not high.In order to improve the efficiency of chronic disease information systems,this paper analyzes the influencing factors of information system behavior by the staff of the management department of chronic disease prevention and treatment.By studying the internal factors that affect user behavior,we put forward relevant suggestions for the improvement of the chronic disease information system.[Methods]1.Literature research: Through the search engines,domestic and foreign literature databases,we read literature,academic reports on Technology Acceptance Model(TAM),and Task-Technology Fit(TTF).Combined with the actual situation of China’s chronic disease information system,the data,related integrated models,as well as the research variables and measurement dimensions were analyzed and summarized,and hypotheses were proposed.2.In-depth interviews: Through the semi-structured interview,we interviewed the leaders and supervisors of chronic disease management in the Center for Disease Control and Prevention and primary health institutions of Wuhan Huangpi District,to understand the experience of using chronic disease information management system,and the impact of information system characteristics on the use of information system.3.Empirical research: Using a stratified random sampling method to conduct an empirical study on Wuhan Huangpi District.A questionnaire survey was conducted to investigate the medical personnel who uses the chronic disease management information system in the Huangpi District Community Health Service Center or township health centers,and 114 valid questionnaires were received.4.Statistical method: SPSS 18.0 and AMOS 26.0 data analysis software are used for statistical analysis of the data collected.By analyzing the relationships between the variables,the influencing factors of the use of chronic disease management information systems are discussed.[Results]The research variables are set as task technology fit,perceived usefulness,perceived ease of use,and behavioral intention.The task-technology fit includes three dimensions of information quality,availability,and support.According to ANOVA,it was found that there had no significant difference on users’ adoption intentions and other influencing factors in different sexes and educational background behavioral intention and,but there were significant differences among medical staff who use the system for less than 7 hours and more than 21 hours per week.According to the structural equation model(SEM),the standardized path coefficient of the “task technology fit→perceived usefulness” and “task technology fit→perceived ease of use” are 0.66(P<0.001)、0.45(P<0.001)respectively;the standardized path coefficient of “ → perceived usefulness → usage intention” and “perceived ease of use → usage intention” are 0.47(P<0.05)、 0.42(P<0.05)respectively;the standardized path coefficient of the “task technology fit→usage intention” is 0.85(P<0.001),so the three hypotheses are confirmed.[Conclusions]1.Medical staff’s perceived usefulness and perceived ease of use for chronic disease information systems have a positive impact on behavioral intention,where perceived usefulness has a greater impact on behavioral intention than perceived ease of use.2.The task technology fit of the chronic disease management information system not only directly affects the behavioral intention but also indirectly affects the behavioral intention by influencing perceived ease of use and perceived usefulness.
Keywords/Search Tags:Chronic disease management, Information system, Behavioral intention, Influencing factors, Task-Technology Fit (TTF), Technology Acceptance Model(TAM)
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