Tweets about hospital quality: a mixed methods study.
Tweets about hospital quality: a mixed methods study.
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DOI：
10.1136/bmjqs-2014-002875
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发表时间：
2014-10
影响因子：
5.4
通讯作者：
Millett C
中科院分区：
文献类型：
--
作者：
Greaves F;Laverty AA;Cano DR;Moilanen K;Pulman S;Darzi A;Millett C
患者越来越多地使用Twitter来评论他们的医疗保健体验。这可能为了解医疗保健提供者的质量和改善服务提供信息。检查发送到英国国民健康服务医院的推文是否包含有关护理质量的信息。将推特上对医院的看法与既定的患者体验和标准化死亡率调查措施进行比较。一项混合方法研究，包括对一年内发送到英国医院的所有198499条推文进行定量分析，以及对1000条随机推文进行定性定向内容分析。使用Spearman等级相关系数对Twitter情绪和传统质量指标进行比较。11%的医院推文包含有关护理质量的信息，最常见的主题是患者体验（8%）。有关于护理有效性或安全性的评论，但不太常见（3%）。77%关于护理质量的推文语气积极。推文中提到的其他主题包括支持患者的信息、筹款活动、自我宣传和传播健康信息。没有观察到Twitter情绪和传统质量指标之间的关联。只有一小部分针对医院的推文讨论了护理质量，推特的情绪与其他质量指标之间没有明确的关系，这可能限制了推特作为质量监测媒介的作用。然而，推文确实包含了对目标质量改进活动有用的信息。政策制定者最近热衷于将社交媒体用作质量监测和改进工具，这需要仔细考虑并进行正式评估。
Twitter is increasingly being used by patients to comment on their experience of healthcare. This may provide information for understanding the quality of healthcare providers and improving services. To examine whether tweets sent to hospitals in the English National Health Service contain information about quality of care. To compare sentiment on Twitter about hospitals with established survey measures of patient experience and standardised mortality rates. A mixed methods study including a quantitative analysis of all 198 499 tweets sent to English hospitals over a year and a qualitative directed content analysis of 1000 random tweets. Twitter sentiment and conventional quality metrics were compared using Spearman's rank correlation coefficient. 11% of tweets to hospitals contained information about care quality, with the most frequent topic being patient experience (8%). Comments on effectiveness or safety of care were present, but less common (3%). 77% of tweets about care quality were positive in tone. Other topics mentioned in tweets included messages of support to patients, fundraising activity, self-promotion and dissemination of health information. No associations were observed between Twitter sentiment and conventional quality metrics. Only a small proportion of tweets directed at hospitals discuss quality of care and there was no clear relationship between Twitter sentiment and other measures of quality, potentially limiting Twitter as a medium for quality monitoring. However, tweets did contain information useful to target quality improvement activity. Recent enthusiasm by policy makers to use social media as a quality monitoring and improvement tool needs to be carefully considered and subjected to formal evaluation.
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影响因子：
7.4
作者：
Greaves F;Ramirez-Cano D;Millett C;Darzi A;Donaldson L
通讯作者：
Donaldson L
影响因子：
3.3
作者：
King, Dominic;Ramirez-Cano, Daniel;Darzi, Ara
通讯作者：
Darzi, Ara
影响因子：
3.2
作者：
Hsieh, HF;Shannon, SE
通讯作者：
Shannon, SE
影响因子：
3.7
作者：
Chew C;Eysenbach G
通讯作者：
Eysenbach G
影响因子：
5.4
作者：
Bardach NS;Asteria-Peñaloza R;Boscardin WJ;Dudley RA
通讯作者：
Dudley RA