Department of Donor Medicine Research, Sanquin Research, Amsterdam, The Netherlands.
Department of Communication Science, Vrije Universiteit, Amsterdam, The Netherlands.
Transfusion. 2020 Oct;60(10):2294-2306. doi: 10.1111/trf.15998. Epub 2020 Aug 8.
To better understand donor behavior and ensure a safe and sufficient blood supply, various observational studies have examined barriers to blood donation. This study used Facebook and Twitter data to enhance existing research on donation barriers and associated emotions communicated on social media by both donors and non-donors.
We conducted a semantic network analysis (SNA) with 168 232 public Dutch language social media messages from Facebook and Twitter during 2012-2018. SNA uses concepts as nodes in a network and the relationship (ie, co-occurrence) as links between them. We identified the relationship between donation barriers, non-donation (voluntary and involuntary), and dissatisfaction (anger and disappointment) within social media messages. This computational method was combined with an analysis examining significant relationships in-depth.
Twelve donation barriers were identified: lifestyle, donation location, medical reasons, no invitation, opening times, physical reactions, pregnancy, remuneration, sexual risk behavior, time constraints, travels, and waiting times. More messages related to involuntary non-donation compared to voluntary non-donation. Involuntary non-donation was associated most strongly with medical reasons and sexual risk behavior, while voluntary non-donation was associated most strongly with resentment regarding remuneration of the blood bank's top management. Anger associated most strongly with sexual risk behavior and disappointment most strongly with medical reasons.
Discussions around blood donation are increasingly taking place online. Donation barriers found in this study differ from those in survey research. Insights into how donation barriers are communicated in an ever-growing online environment can be utilized to enhance recruitment and retention strategies.
为了更好地了解献血者的行为,确保安全充足的血液供应,各种观察性研究都在研究献血障碍。本研究利用 Facebook 和 Twitter 数据,增强了对现有关于献血障碍的研究,以及献血者和非献血者在社交媒体上所表达的与献血障碍相关的情绪的研究。
我们对 2012 年至 2018 年期间来自 Facebook 和 Twitter 的 168232 条荷兰语公开社交媒体信息进行了语义网络分析(SNA)。SNA 将概念作为网络中的节点,将它们之间的关系(即共同出现)作为链接。我们确定了社交媒体信息中献血障碍、非献血(自愿和非自愿)以及不满(愤怒和失望)之间的关系。这种计算方法与深入分析重要关系的分析相结合。
确定了 12 个献血障碍:生活方式、献血地点、医疗原因、没有邀请、开放时间、身体反应、怀孕、报酬、性行为风险、时间限制、旅行和等待时间。与自愿非献血相比,与非自愿非献血相关的信息更多。非自愿非献血与医疗原因和性行为风险行为关系最密切,而自愿非献血与对血库管理层薪酬的不满关系最密切。愤怒与性行为风险行为关系最密切,失望与医疗原因关系最密切。
围绕献血的讨论越来越多地在网上进行。本研究中发现的献血障碍与调查研究中的障碍不同。深入了解在不断增长的在线环境中如何传达献血障碍,可以用来增强招募和保留策略。