Doerstling Steven S, Engelhard Matthew M, Akrobetu Dennis, Sloan Caroline E, Campagna Ada, Nguyen Thuy-Vi, Madanay Farrah, Chen Felicia, Ubel Peter A
Department of Medicine, School of Medicine, Stanford University, 300 Pasteur Dr, Stanford, CA, 94305, United States, 1 6507252504.
Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, United States.
J Med Internet Res. 2025 Jul 29;27:e72475. doi: 10.2196/72475.
Web-based crowdfunding is commonly used to defray medical expenses, but it is not fully known which factors determine fundraising success. Previous studies have usually focused on a single disease category at a time or a small number of mutually exclusive diseases, even though a given campaign may seek funding for multiple conditions. In addition, differences in fundraising exist according to socioeconomic status, but whether this association applies across different diseases is unclear. Thus, questions remain about how certain medical conditions and the socioeconomic context of a campaign's location interact to influence fundraising success.
This study aimed to determine the impact of specific medical conditions on crowdfunding success and to evaluate if the socioeconomic environment of a campaign's location has a distinct effect on earnings. Last, we sought to understand the effect of these features on donation behavior in terms of number of donations and donation amount.
Web scraping was used to collect medical crowdfunding campaigns on GoFundMe that were based in the United States and created between 2010 and 2020. Using a previously validated disease identification algorithm based on natural language processing, we identified the presence or absence of 11 broad disease categories in each campaign description. An Area Deprivation Index was calculated to represent a composite view of the socioeconomic status of each campaign's county of origin. Generalized linear models were constructed to estimate the impact of mentioning specific disease categories and the campaign's area deprivation on the amount of money raised.
This study analyzed 89,645 crowdfunding campaigns. We identified at least one medical condition in 82.6% (n=74,016) of campaigns. A quarter of campaigns (n=25,026, 27.9%) mentioned more than one disease category. Neoplasms were the most common condition among medical crowdfunding campaigns by a large margin (n=38,221, 43.7% of campaigns), followed by injuries and external causes (n=18,087, 20.7% of campaigns). In multivariable analysis, mentioning neoplasms, injuries and external causes, respiratory system diseases, nervous system diseases, or infections in the campaign was associated with higher total fundraising amounts. On the other hand, mentioning genitourinary, mental health, or endocrine diseases was associated with lower total fundraising amounts. Campaigns originating from less-deprived counties raised more money than those from more-deprived counties, and this effect was independent of the diseases mentioned in the campaign. The success of campaigns for higher-earning conditions and from less-deprived areas was typically due to a larger number of donations, rather than a higher donation amount.
The medical conditions mentioned in crowdfunding campaigns matter for the fundraising success of the campaign. Importantly, certain diseases tended to receive lower total fundraising amounts. Regardless of the specific diseases mentioned in the campaign, the socioeconomic backdrop of a campaign's location had a significant impact on fundraising.
基于网络的众筹通常用于支付医疗费用,但尚不完全清楚哪些因素决定筹款成功。以往的研究通常一次只关注单一疾病类别或少数互斥的疾病,尽管某个特定的筹款活动可能是为多种疾病寻求资金。此外,筹款情况因社会经济地位而异,但这种关联是否适用于不同疾病尚不清楚。因此,关于某些医疗状况与筹款活动所在地的社会经济背景如何相互作用以影响筹款成功,仍存在疑问。
本研究旨在确定特定医疗状况对众筹成功的影响,并评估筹款活动所在地的社会经济环境对筹款收益是否有显著影响。最后,我们试图从捐赠次数和捐赠金额方面了解这些特征对捐赠行为的影响。
通过网络爬虫收集了2010年至2020年间在美国GoFundMe上发起的医疗众筹活动。使用基于自然语言处理的先前经过验证的疾病识别算法,我们确定了每个活动描述中是否存在11种主要疾病类别。计算了地区贫困指数,以综合反映每个活动发起县的社会经济状况。构建广义线性模型以估计提及特定疾病类别和活动地区贫困程度对筹集资金数额的影响。
本研究分析了89,645个众筹活动。我们在82.6%(n = 74,016)的活动中识别出至少一种医疗状况。四分之一的活动(n = 25,026,27.9%)提到了不止一种疾病类别。肿瘤是医疗众筹活动中最常见的疾病,占比大幅领先(n = 38,221,占活动的43.7%),其次是损伤和外部原因(n = 18,087,占活动的20.7%)。在多变量分析中,活动中提及肿瘤、损伤和外部原因、呼吸系统疾病、神经系统疾病或感染与更高的总筹款金额相关。另一方面,提及泌尿生殖系统、心理健康或内分泌疾病与较低的总筹款金额相关。来自贫困程度较低县的活动比来自贫困程度较高县的活动筹集到更多资金,且这种影响与活动中提及的疾病无关。高收入疾病和来自贫困程度较低地区的活动成功通常是由于捐赠次数较多,而非捐赠金额较高。
众筹活动中提及的医疗状况对活动的筹款成功至关重要。重要的是,某些疾病往往获得的总筹款金额较低。无论活动中提及的具体疾病是什么,活动所在地的社会经济背景对筹款都有重大影响。