Zhongguo quanke yixue (Nov 2024)
Demand Analysis of Diabetes Primary Healthcare and Prevention Integration Services in the Context of Digital Health
Abstract
Background With the acceleration of the aging process of the population and the change of the disease spectrum of residents, the prevalence of chronic diseases such as diabetes is increasing year by year. It is urgent to establish a wide coverage and efficient medical prevention integration mode. Most of the existing studies have focused on the demand for health management services and the influencing factors of service adoption, and few have identified and analyzed the demand for chronic disease healthcare and prevention integration services under digital technology. Objective To explore the demand of residents for medical and preventive integration services for diabetes in the context of digital health, and the impact of different service contents on the acceptance and satisfaction of service objects, so as to provide a theoretical basis for the public to improve the whole process and all-round medical and preventive integration services. Methods Combined with relevant research and practical work, 20 survey items on demand for diabetes medical and prevention integration services were established. From January to June 2023, convenient sampling method was used to survey diabetes patients and risk groups in Fujian Province, Guangdong Province and Yunnan Province, and 410 respondents' data were obtained. According to five demographic characteristics of gender, age, education level, residence type and medical insurance type, attribute classification analysis was carried out according to Kano model analysis method, to investigate the relationship between service demand of different attributes and residents' satisfaction, and then put forward the supply strategy of diabetes medical and prevention integration services. Results Residents with different demographic characteristics show common and individual differences in the demand for medical and preventive integration services for diabetes. Among them, the demand for services among people of different ages and educational levels is quite different. The demand for medical prevention integration services of diabetes prevention and treatment groups focuses on screening, prevention and treatment, but the relevant convenient services provided by the Internet and social media have nothing to do with user satisfaction. Conclusion The level of personalization of diabetes primary health care and prevention services should be improved to fully satisfy the needs of the service population for essential attributes such as "initial screening for diabetes and complications", improve the services for desired attributes such as "establishment of a full-cycle personal electronic health record", and enhance the services for charismatic attributes such as "risk prediction" and "remote health monitoring". It will also improve services with desired attributes such as the establishment of a full-cycle personal electronic health record, and enhance services with attractive attributes such as "risk prediction" and "remote health monitoring".
Keywords
