Summary
Along with the development of society and the rapid economic growth in the past decades, hypertension and other chronic diseases have become important reasons for people’s poverty caused by illness in China. This study collected a total of 5857 people from 2010 to 2013 randomly from the database of the Medical Insurance Department (MID), including 3229 people in Hubei province and 2628 people in Guangdong province. One-way ANOVA was used to compare the total medical expense, out-of-pocket (OOP) expense and hospital stay between variables. A multiple linear regression analysis was done to identify possible risk factors of total medical expense. The results showed that the average total medical expense per capita was 5709.89 yuan, and the medical expense per capita was 7053.58 and 4555.97 yuan in Guangdong province and Hubei province, respectively. The medical expense of hypertensive inpatients decreased from 7222.32 yuan in 2012 to 4894.66 yuan in 2013. There were no significant differences in medical expenses between different genders of hypertensive patients (P>0.05). People of different ages, provinces, medical insurances and medical institution levels showed significant differences in medical expenses. The government should increase the investment in chronic disease management and treatment in the central and western regions to narrow the gap with the eastern region. Medical insurance fund payment should be improved to ensure the fairness of the use of medical services in different medical insurances. And measures should be taken to encourage chronic patients to visit primary medical institutions to effectively reduce medical expenses.
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The authors of the paper are grateful to the Guangdong MID and Hubei MID for their support in the data collection
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This project was supported by Key projects of National Natural Science Foundation of China (No. 71333005).
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Wang, H., Su, M., Fang, Pq. et al. Analysis on Medical Expenses of Hypertensive Inpatients in Urban Areas from 2010 to 2013—Evidence from Two Provinces in South of China. CURR MED SCI 38, 741–748 (2018). https://doi.org/10.1007/s11596-018-1939-5
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DOI: https://doi.org/10.1007/s11596-018-1939-5