当前位置: X-MOL 学术J. Assist. Reprod. Genet. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Infertility influencers: an analysis of information and influence in the fertility webspace.
Journal of Assisted Reproduction and Genetics ( IF 3.1 ) Pub Date : 2020-05-07 , DOI: 10.1007/s10815-020-01799-2
Jennifer K Blakemore 1 , Arielle H Bayer 2 , Meghan B Smith 3 , James A Grifo 1
Affiliation  

PURPOSE To examine fertility-related social media accounts and influencers on two social media platforms. METHODS The search function of Twitter (TW) and Instagram (IG) was used to generate a list of accounts with the terms: fertility, infertility, ttc, egg freezing, ivf, endometriosis, and reproductive. Accounts not in English, in private, with no posts in > 1 year, or with content unrelated to search terms were excluded. Accounts were assessed for author type; REI board certification (REI-BC); influencer (INF) status (> 10 K followers on IG; verified check mark on TW); account demographics; and content in last 5 posts. Statistical analysis included unpaired t tests, a classification and regression tree (CART) analysis, and stepwise multiple logistic regression. RESULTS Seven hundred ten accounts were identified and 537 (278 TW, 259 IG) were included. Account types included societies, clinics, physicians, patients, groups, and "other." Instagram content (1290 posts reviewed) was primarily personal stories (31.7%) or inspiration/support (23.7%). Twitter content (1390 posts reviewed) was mostly promotion (28.2%) and research/education (20.2%). Thirty-nine accounts (12.5%) were influencers. Fertility influencers were most often awareness/support accounts (59.8% TW, 25.0% IG), patients (12.8% TW, 25% IG), or other (17.9% TW, 21.0% IG). Only 7.7% TW and 7.1% IG INFs were board-certified REI physicians. The best predictor for classification as an influencer was high activity (> 50 posts/month TW, > 10 posts/month IG). CONCLUSION As patients increasingly utilize social media to obtain and engage with health information, it is critical to understand the fertility-related SM landscape. This understanding may help to successfully enhance relationships with patients and ensure dissemination of accurate information.

中文翻译:

不孕不育影响者:对生育网络空间中的信息和影响力进行分析。

目的 检查两个社交媒体平台上与生育相关的社交媒体账户和影响者。方法 使用 Twitter (TW) 和 Instagram (IG) 的搜索功能生成包含以下术语的帐户列表:生育、不孕、ttc、卵子冷冻、试管婴儿、子宫内膜异位症和生殖。非英语帐户、私人帐户、超过 1 年没有发帖或内容与搜索词无关的帐户均被排除在外。根据作者类型评估账户;REI董事会认证(REI-BC);影响者 (INF) 状态(IG 上有超过 10 K 关注者;TW 上经过验证的复选标记);账户人口统计;以及最近 5 篇帖子中的内容。统计分析包括不配对 t 检验、分类和回归树 (CART) 分析以及逐步多元逻辑回归。结果 识别出 710 个帐户,其中包括 537 个帐户(278 个 TW,259 个 IG)。帐户类型包括协会、诊所、医生、患者、团体和“其他”。Instagram 内容(已审核 1290 条帖子)主要是个人故事 (31.7%) 或灵感/支持 (23.7%)。Twitter 内容(已审核 1390 条帖子)主要是促销(28.2%)和研究/教育(20.2%)。39 个账户 (12.5%) 是影响者。生育力影响因素通常是认知/支持账户(59.8% TW,25.0% IG)、患者(12.8% TW,25% IG)或其他(17.9% TW,21.0% IG)。只有 7.7% 的 TW 和 7.1% 的 IG INF 是经过委员会认证的 REI 医生。分类为影响者的最佳预测因素是高活跃度(TW 每月 > 50 个帖子,IG 每月 > 10 个帖子)。结论 随着患者越来越多地利用社交媒体获取和参与健康信息,了解与生育相关的 SM 状况至关重要。这种理解可能有助于成功地加强与患者的关系并确保传播准确的信息。
更新日期:2020-05-07
down
wechat
bug