Research On Influencing Factors Of Diabetes Patients' Usage Intention Toward Mobile Health Services

ObjectBased on the relevant theoretical models of willingness to use in the field of information systems,and the characteristics of patients and mobile health,construct a theoretical model for mobile health service willingness to use and form a questionnaire to provide an effective tool for investigating mobile health service willingness to useAnalyze Diabetes Patients' Usage Intention Toward Mobile Health Services and the main influencing factors,verify the relationship between the influencing factors,and provide reference for the development of mobile health services for diabetes and other chronic diseasesMethodBy consulting relevant literature,using knowledge map to analyze domestic and foreign research status and related theoretical models.construct preliminary models,and form questionnaires.Then conduct expert consultations,user interviews,and group discussions to modify the questionnaire.The diabetic patients were surveyed by issuing paper questionnaires.using SPSS 22.0 and AMOS 24.0 software analyze the data to validate the hypotheses proposed.Result1.532 diabetic patients,the awareness rate of mobile health services was 38.3%,and the usage rate was 23.1%.Knowing channels are mainly online and advertising(94/46.1%),and doctors recommend(78/38.2%).The reason for knowing but not using it was mainly because it felt that it was of little practical use(81/44.4%).The channels chosen were mainly doctor recommendations(80/98.8).Most patients hope that mobile health services can provide functions such as learning about diabetes,consulting doctors,and making appointments for registration.Among the 8 latent variables using the willingness model,the health belief score was the highest,and the electronic health literacy score was the lowest.The total Cronbach's ? coefficient of the willingness scale is 0.926.The Cronbach's a coefficient of each latent variable is between 0.833-0.957,all greater than 0.8,the CR value is between 0.834-0.950,all greater than 0.7,and the AVE value is between 0.567-0.887.Time,both are greater than 0.52.Multiple linear regression analysis showed that there were significant differences in the perceived usefulness of diabetic patients with different ages,education levels,occupations,complications,and duration of disease(P<0.05).Diabetic patients with different ages,education levels,monthly income,occupations,complications,and duration of disease had significant differences in perceived ease of use(P<0.05).Diabetes patients with different ages,education levels,and monthly incomes have significant social impacts(P<0.05).Diabetes patients with different monthly incomes have significant differences in health beliefs(P<0.05).Diabetic patients with different ages,education levels,monthly income,occupation,and course of disease have significant differences in individual innovation(P<0.05)There are significant differences in electronic health literacy among diabetic patients of different ages,education levels,complications,and duration of disease(P<0.05)There is a significant difference in the willingness to use among patients with diabetes at different ages,monthly incomes,occupations,and durations of disease(P<0.05).3.Structural equation model analysis found that:social impact,individual innovation positively affects perceived usefulness,path coefficients are 0.507,0.198(P<0.05);social impact,individual innovation,electronic health literacy,and perceived usefulness are positive Affecting the willingness to use,the path coefficients were 0.299,0.431,0.171,and 0.126,respectively(P<0.05).Perceived ease of use and electronic health literacy failed to verify the usefulness of perception(P>0.05).Perceived ease of use,health beliefs,perceived risk,and willingness to use did not pass verification(P>0.05).ConclusionAs a chronic disease management model that has emerged in recent years,mobile health services have not been widely understood and accepted by diabetics.The survey found that patients are more able to accept and use patients through doctor recommendation channels,and many medical staff are not willing to recommend mobile health services to patients,so patients' awareness and use of mobile health services are low.Patients with different demographic characteristics have different willingness to use and the degree of influence of various variables.The structural equation model shows that perceived usefulness,social impact,individual innovation,and electronic health literacy are the main factors that affect the willingness of diabetic patients to use mobile health services.Social impact and individual innovation positively affect perceived usefulness,while perception is easy to use Sex,perceived risk,and health beliefs have not been tested for their willingness to use,perceived ease of use,and e-health literacy for perceived usefulness.Based on the above research results,this study proposes countermeasures from the government level,service provider level and patient level.