Cook Nigel, Mullins Anmol, Gautam Raju, Medi Sharath, Prince Clementine, Tyagi Nishith, Kommineni Jyothi
Novartis Pharma AG, Basel, Switzerland.
Novartis Pharmaceuticals Corporation, Fort Worth, TX, USA.
Ophthalmol Ther. 2019 Sep;8(3):407-420. doi: 10.1007/s40123-019-0188-4. Epub 2019 Jun 3.
Social 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).
Publicly available, English-language social media content between December 2016 and August 2017 was searched employing pre-defined criteria using Social Studio, 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.
In 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 Restasis (22%; 103/476) and Xiidra (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.
Insights 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.
Novartis Pharma AG, Basel, Switzerland. Plain language summary available for this article.
社交媒体倾听(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来了解干眼症(DED)患者生活体验结果的研究。
使用Social Studio(一个用于聚合社交媒体渠道帖子的在线工具),根据预定义标准搜索2016年12月至2017年8月公开可用的英文社交媒体内容。使用自然语言处理(NLP),通过患者词汇表和疾病相关关键词对帖子进行索引,以获取一组患者帖子。使用NLP识别相关性,随后进行进一步的人工评估和分析以生成患者见解。
经过NLP,共识别出2279条可能的患者记录,分析人员对其与疾病领域的相关性进行了筛选,最终共有1192条帖子构成了本研究的基础。其中,77%(n = 915)来自美国。症状、病因、诊断和治疗是最常讨论的主题。提及最多的常见症状是眼干(138/901)、疼痛(114/901)和视力模糊(110/901)。药物(处方药和非处方药;55%;764/1393),其次是医疗器械(20%;280/1393),被提及为管理症状的主要选择。在药物中,眼药水(33%;158/476)和人工泪液(10%;49/476)是报告中最常见的非处方药选择,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的认识被确定为关键的未满足需求。
使用SML揭示的见解增强了我们对DED患者体验及其未满足需求的理解。本研究表明,SML方法有效地生成了患者见解,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。
瑞士巴塞尔的诺华制药公司。本文提供通俗易懂的摘要。