Wu Junhong, Peng Yi
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.
Public Health. 2023 Oct;223:202-208. doi: 10.1016/j.puhe.2023.07.030. Epub 2023 Sep 5.
Online medical crowdfunding has gained popularity in recent years in China. The objective of this study was to identify unmet medical needs in the public healthcare system through analysis of Chinese medical crowdfunding data.
Text information extraction and statistical analysis based on large-scale data.
From 19 June 2011 to 15 March 2020, data from 30,704 medical crowdfunding projects were collected from Tencent GongYi, which is one of the largest Chinese medical crowdfunding platforms. Text mining methods were used to extract data on the medical conditions and locations of the applicants of medical crowdfunding. In addition, 125 medical crowdfunding projects initiated by leukaemia patients in Chongqing and Nanyang were further investigated through manual data extraction, and the factors impacting the fundraising goals were explored using a generalised linear model.
The most common conditions using medical crowdfunding to raise funds were as follows: cancer (31.87%), chronic conditions (18.14%), accidental injury (7.80%) and blood system-related conditions (7.75%). Treatments for cancer and blood system-related conditions are expensive and have serious long-term impacts on the lives of patients. Results showed that the cities of Nanyang and Chongqing had the largest number of crowdfunding projects.
This study found that the medical conditions that prompted individuals to apply for crowdfunding were those with long treatment cycles, complexities and expensive medical or non-medical costs. Furthermore, discrepancies in health insurance policies between different regions and residents seeking treatments outside their insurance locations were also important factors that triggered medical crowdfunding applications. Adjusting health insurance policies accordingly may improve the efficiency of utilising health insurance resources and reduce the financial burden on patients.
近年来,在线医疗众筹在中国日益流行。本研究的目的是通过分析中国医疗众筹数据,确定公共医疗系统中未满足的医疗需求。
基于大规模数据的文本信息提取和统计分析。
从2011年6月19日至2020年3月15日,从中国最大的医疗众筹平台之一腾讯公益收集了30704个医疗众筹项目的数据。采用文本挖掘方法提取医疗众筹申请人的病情和地点数据。此外,通过人工数据提取对重庆和南阳白血病患者发起的125个医疗众筹项目进行了进一步调查,并使用广义线性模型探索了影响筹款目标的因素。
使用医疗众筹筹集资金的最常见疾病如下:癌症(31.87%)、慢性病(18.14%)、意外伤害(7.80%)和血液系统相关疾病(7.75%)。癌症和血液系统相关疾病的治疗费用高昂,对患者生活有严重的长期影响。结果显示,南阳和重庆的众筹项目数量最多。
本研究发现,促使个人申请众筹的医疗状况是那些治疗周期长、复杂且医疗或非医疗成本高昂的疾病。此外,不同地区之间医疗保险政策的差异以及居民在保险所在地以外寻求治疗也是引发医疗众筹申请的重要因素。相应调整医疗保险政策可能会提高医疗保险资源的利用效率,减轻患者的经济负担。