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Objective:To study the influences of patients′ online medical service from willingness to behavior based on Anderson′s health service utilization model, and to provide reference for improving the utilization rate of internet medical services.Methods:A total of 66 270 patient data were selected from a self built internet medical platform of a tertiary hospital in Zhejiang province in 2021. Indicators such as time of visit, location of visit, doctor′s online activity, doctor′s title, doctor′s age, doctor′s gender, and disease type were subjected to chi-square test and logistic regression analysis to clarify the impact of different indicators on online medical treatment from willingness to behavior.Results:Of the 66 270 people having a willingness to seek online medical treatment, 39 996 people, accounting for 60.35%, achieved online diagnosis and treatment. Online medical services could break through the constraints of time and space and to promote the patient′s seeking medical treatment online from willingness to behavior in a limited way; Doctor′s title had a non-linear effect on patients′ online medical treatment from willingness to behavior; Doctor′s online activeness significantly promoted online medical treatment from willingness to behavior; Female doctors and middle-aged and young doctors promoted online medical treatment from willingness to behavior; Different types of diseases affected online medical treatment in different ways.Conclusions:Among the factors that affect the patient′s transformation from online medical willingness to behavior, the patient′s enabling resources have a facilitative effect, and need factors have a direct impact.
RESUMO
Objective:To understand the preference of patients for online medical services, so as to improve the development of internet-based healthcare.Methods:The data came from the online medical cases and online medical orders of the Hao Daifu online platform from 2016 to 2020. The reasons for medical treatment, disease severity, consultation type, time of medical service, patient′s region, and the price of medical services were covered in such an analysis. Data were analyzed descriptively, and chi-square test or t-test was used for comparison between groups.Results:This study covered 41.228 6 million online medical cases and 26.683 2 million online medical orders. The diseases receiving online medical services were mainly common ones, and the distribution of disease severity in different years was statistically different( P<0.001); There was a significant difference in the distribution of inquiry forms of online medical orders in different years( P<0.001); Online medical service time was concentrated from 8: 00 to 22: 00 every day; The number of online medical visits per 10 000 population in the eastern region was significantly higher than that in the central and western regions( P<0.05); The price range of online medical treatment was concentrated in 1-100 yuan. Conclusions:In China, the types of online medical services were mainly common ones, and the medical service time and price range were relatively stable. The number of online medical services in the eastern region is higher than that in the central and western regions. In the future, the online medical platforms are expected to focus on online services for chronic diseases, improve the responsiveness of such services, establish a scientific doctor scheduling system, narrow the regional digital divide of such services, and optimize their rational pricing.