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Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research

机译:通过社交媒体听力研究评估患者干眼症的经验

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IntroductionSocial media listening (SML) is an approach to assess patient experience in different indications. This is the first study to report the results of using SML to understand patients’ experiences of living with dry eye disease (DED). MethodsPublicly available, English-language social media content between December 2016 and August 2017 was searched employing pre-defined criteria using Social Studiosup?/sup, an online aggregator-tool for posts from social media channels. Using natural language processing (NLP), posts were indexed using patient lexicon and disease-related keywords to derive a set of patient posts. NLP was used to identify relevance, followed by further manual evaluation and analysis to generate patient insights. ResultsIn all, 2279 possible patient records were identified following NLP, which were filtered for relevance to disease area by analysts, resulting in a total of 1192 posts which formed the basis of this study. Of these, 77% ( n =?915) were from the USA. Symptoms, causes, diagnosis and treatments were the most commonly discussed themes. Most common symptoms mentioned were eye dryness (138/901), pain (114/901) and blurry vision (110/901). Pharmaceutical drugs (prescription and over-the-counter; 55%; 764/1393), followed by medical devices (20%; 280/1393), were mentioned as major options for managing symptoms. Of the pharmaceutical drugs, eye drops (33%; 158/476) and artificial tears (10%; 49/476) were the most common over-the-counter options reported, and Restasissup?/sup (22%; 103/476) and Xiidrasup?/sup (6%; 27/476) were the most common prescription drugs. Patients voiced a significant impact of DED on their daily activities (4%; 9/224), work (23%; 51/224) and driving (12%; 26/224). Lack of DED specialists, standard diagnostic procedures, effective treatment options and need to increase awareness of DED among patients were identified as the key unmet needs. ConclusionsInsights revealed using SML strengthen our understanding about patient experiences and their unmet needs in DED. This study illustrates that an SML approach contributed effectively in generating patient insights, which can be utilised to inform early drug development process, market access strategies and stakeholder discussions. FundingNovartis Pharma AG, Basel, Switzerland. Plain Language SummaryPlain language summary available for this article.
机译:简介社交媒体收听(SML)是一种评估不同适应症患者体验的方法。这是第一项报告使用SML理解患者干眼症(DED)生活经验的结果的研究。方法使用社交媒体渠道在线汇总工具Social Studio ?使用预定义的标准,搜索2016年12月至2017年8月之间公开可用的英语社交媒体内容。使用自然语言处理(NLP),使用患者词典和与疾病相关的关键字对帖子进行索引,以导出一组患者帖子。 NLP用于识别相关性,然后进行进一步的手动评估和分析以产生患者见解。结果在NLP之后共鉴定了2279例可能的患者记录,分析人员已将其过滤出与疾病区域相关的信息,总共有1192个职位,构成了这项研究的基础。其中,77%(n = 915)来自美国。症状,原因,诊断和治疗是最常讨论的主题。提到的最常见症状是眼干(138/901),疼痛(114/901)和视力模糊(110/901)。作为治疗症状的主要选择,提到了药物(处方药和非处方药; 55%; 764/1393),其次是医疗器械(20%; 280/1393)。在药物中,眼药水(33%; 158/476)和人工泪液(10%; 49/476)是最常见的非处方药物,而Restasis ?(22 %; 103/476)和Xiidra ?(6%; 27/476)是最常见的处方药。患者表示DED对他们的日常活动(4%; 9/224),工作(23%; 51/224)和驾驶(12%; 26/224)有重大影响。缺乏DED专家,标准诊断程序,有效的治疗选择以及需要提高患者对DED意识的需求被确定为关键的未满足需求。结论使用SML的见解揭示了我们对患者经验及其在DED中未满足需求的了解。这项研究表明,SML方法有效地有助于产生患者见解,可用于为早期药物开发过程,市场准入策略和利益相关者讨论提供信息。资金Novartis Pharma AG,瑞士巴塞尔。普通语言摘要本文提供了普通语言摘要。

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