Researchers: Zhenjie Wang, Xinming Song; Hanmo Yang; Shuai Guo; Ruoxi Ding
Description of work
Health can be defined as “a state of physical, mental, and social well-being and not merely the absence of disease or infirmity” (1). Good health is a prereq¬uisite for participation in a wide range of activities including education and employment. A wide range of factors determine health status, including individual factors, living and working conditions, general socioeconomic, cultural and environmental conditions, and access to health care services (2, 3). According to the WHO report, many people with disabilities experience worse socioeco¬nomic outcomes than people without disabilities: they experience higher rates of poverty, lower employment rates, and have less education (4). Population with disability also have unequal access to health care services and therefore have unmet health care needs compared with the general population (5–8).
Disability is part of the human condition. Almost everyone will be temporarily or permanently impaired at some point in life, and those who survive to old age will experience increasing difficulties in functioning. Most extended families have a disabled member, and many non-disabled people take responsibility for supporting and caring for their relatives and friends with disabilities (9-11). An estimated 650 million people worldwide live with some form of disability (4). The way that disability is conceived has changed substantially in recent years, the current focus being on three areas of impairment: bodily functions and structures, activities and participation (4).
In China, the estimated number of disabled people in China in 1987 and 2006 was 52.7 and 84.6 million, respectively, corresponding to a weighted prevalence of 4.9% and 6.5%. Very limited researches addressed the population healthcare, especially for population with disability. Therefore, we try to fill the gap between population with disability and healthcare by using big data driven.
Aims and research questions
The aims and research questions in this project as following:
- To explore the pattern, characteristics of disabled population’s healthcare in China.
- Basing on the pattern, characteristics of disabled population’s healthcare, we analyse the associations between socioeconomic factors and disabled population’s healthcare. Moreover, build an early warning model of disabled population’s healthcare by using data mining or machine learning.
- On the basis of the first two steps, this paper puts forward the strategies of disabled population’s healthcare in China in the new period, to strengthen the health management of the disabled.