@Article{info:doi/10.2196/17048，作者=“Hswen, Yulin and Hawkins, Jared B and Sewalk, Kara and Tuli, Gaurav and Williams, David R and Viswanath, K. and Subramanian, S V and Brownstein, John S”，标题=“美国患者体验中的种族和民族差异:Twitter的4年内容分析”，期刊=“J Med Internet Res”，年=“2020”，月=“8”，日=“21”，卷=“22”，数=“8”，页=“e17048”，关键词=“种族差异;竞赛;病人的经验;政策;社交媒体;数字流行病学;健康的社会决定因素;健康差异;卫生不平等"，摘要="背景:与一般人群相比，种族和族裔少数群体往往面临更差的患者经历，这与这些少数群体中较差的健康结果直接相关。由于在传统的卫生保健调查中缺乏代表性，对种族和少数民族群体的患者经验进行评估一直很困难。 Objective: This study aims to assess the feasibility of Twitter for identifying racial and ethnic disparities in patient experience across the United States from 2013 to 2016. Methods: In total, 851,973 patient experience tweets with geographic location information from the United States were collected from 2013 to 2016. Patient experience tweets included discussions related to care received in a hospital, urgent care, or any other health institution. Ordinary least squares multiple regression was used to model patient experience sentiment and racial and ethnic groups over the 2013 to 2016 period and in relation to the implementation of the Patient Protection and Affordable Care Act (ACA) in 2014. Results: Racial and ethnic distribution of users on Twitter was highly correlated with population estimates from the United States Census Bureau's 5-year survey from 2016 (r2=0.99; P<.001). From 2013 to 2016, the average patient experience sentiment was highest for White patients, followed by Asian/Pacific Islander, Hispanic/Latino, and American Indian/Alaska Native patients. A reduction in negative patient experience sentiment on Twitter for all racial and ethnic groups was seen from 2013 to 2016. Twitter users who identified as Hispanic/Latino showed the greatest improvement in patient experience, with a 1.5 times greater increase (P<.001) than Twitter users who identified as White. Twitter users who identified as Black had the highest increase in patient experience postimplementation of the ACA (2014-2016) compared with preimplementation of the ACA (2013), and this change was 2.2 times (P<.001) greater than Twitter users who identified as White. Conclusions: The ACA mandated the implementation of the measurement of patient experience of care delivery. Considering that quality assessment of care is required, Twitter may offer the ability to monitor patient experiences across diverse racial and ethnic groups and inform the evaluation of health policies like the ACA. ", issn="1438-8871", doi="10.2196/17048", url="//www.mybigtv.com/2020/8/e17048/", url="https://doi.org/10.2196/17048", url="http://www.ncbi.nlm.nih.gov/pubmed/32821062" }