{"title":"Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction","authors":"Viola Savy Dsouza , Lada Leyens , Angela Brand","doi":"10.1016/j.rcsop.2025.100592","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Adverse Drug Reactions (ADRs) pose significant health and economic burdens, yet underreporting and inconsistent standards persist. Digital health innovations, particularly mobile and web-based ADR reporting applications, offer potential to enhance pharmacovigilance by improving data accuracy and patient-reported outcomes.</div></div><div><h3>Objectives</h3><div>The study provides a comprehensive mapping of ADR mobile and web application literature, analysing publication trends, key contributors, and core themes through bibliometric and NLP-based content analysis.</div></div><div><h3>Methods</h3><div>A systematic two-stage approach was applied to 289 Web of Science articles on ADR reporting applications. Bibliometric analysis explored publication trends, co-authorship networks, and keyword occurrences, while NLP-based topic modelling identified prevalent themes, ensuring thematic coherence and interpretability.</div></div><div><h3>Results</h3><div>Bibliometric analysis showed a rise in ADR application-related publications, primarily from the United Kingdom, United States of America, and Switzerland. Content analysis identified ten key themes, including pharmacovigilance, chemotherapy adherence, and psychiatry research. A distinct focus on digital tools in ADR reporting and management was evident, with keywords such as “mobile,” “application,” and “patient” becoming increasingly prominent in recent years. Co-authorship and collaboration networks, however, showed limited cross-national research partnerships.</div></div><div><h3>Discussion</h3><div>The study highlights the transformative role of digital solutions in pharmacovigilance, demonstrating the potential of ADR applications to enhance reporting accuracy and improve patient safety. However, adoption remains early-stage and fragmented by regional affiliations. Future research should focus on patient-centric app development, effectiveness assessment, and fostering global collaboration. Strengthening digital literacy and robust investment in ADR reporting applications is crucial for optimizing their impact in healthcare.</div></div>","PeriodicalId":73003,"journal":{"name":"Exploratory research in clinical and social pharmacy","volume":"18 ","pages":"Article 100592"},"PeriodicalIF":1.8000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exploratory research in clinical and social pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667276625000332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
Adverse Drug Reactions (ADRs) pose significant health and economic burdens, yet underreporting and inconsistent standards persist. Digital health innovations, particularly mobile and web-based ADR reporting applications, offer potential to enhance pharmacovigilance by improving data accuracy and patient-reported outcomes.
Objectives
The study provides a comprehensive mapping of ADR mobile and web application literature, analysing publication trends, key contributors, and core themes through bibliometric and NLP-based content analysis.
Methods
A systematic two-stage approach was applied to 289 Web of Science articles on ADR reporting applications. Bibliometric analysis explored publication trends, co-authorship networks, and keyword occurrences, while NLP-based topic modelling identified prevalent themes, ensuring thematic coherence and interpretability.
Results
Bibliometric analysis showed a rise in ADR application-related publications, primarily from the United Kingdom, United States of America, and Switzerland. Content analysis identified ten key themes, including pharmacovigilance, chemotherapy adherence, and psychiatry research. A distinct focus on digital tools in ADR reporting and management was evident, with keywords such as “mobile,” “application,” and “patient” becoming increasingly prominent in recent years. Co-authorship and collaboration networks, however, showed limited cross-national research partnerships.
Discussion
The study highlights the transformative role of digital solutions in pharmacovigilance, demonstrating the potential of ADR applications to enhance reporting accuracy and improve patient safety. However, adoption remains early-stage and fragmented by regional affiliations. Future research should focus on patient-centric app development, effectiveness assessment, and fostering global collaboration. Strengthening digital literacy and robust investment in ADR reporting applications is crucial for optimizing their impact in healthcare.
药物不良反应(adr)造成了严重的健康和经济负担,但仍然存在低报和不一致的标准。数字卫生创新,特别是移动和基于网络的不良反应报告应用程序,通过提高数据准确性和患者报告的结果,提供了加强药物警戒的潜力。该研究提供了ADR移动和网络应用文献的全面映射,通过文献计量学和基于nlp的内容分析分析出版趋势、主要贡献者和核心主题。方法采用系统的两阶段分析方法,对289篇Web of Science上的ADR报告应用进行分析。文献计量分析探讨了出版趋势、合著者网络和关键词出现情况,而基于nlp的主题建模确定了流行主题,确保了主题的一致性和可解释性。结果文献计量学分析显示,与ADR应用相关的出版物有所增加,主要来自英国、美国和瑞士。内容分析确定了十个关键主题,包括药物警戒、化疗依从性和精神病学研究。数字工具在不良反应报告和管理方面的突出重点是显而易见的,近年来“移动”、“应用”和“患者”等关键词变得越来越突出。然而,共同作者和合作网络显示出有限的跨国研究伙伴关系。该研究强调了数字解决方案在药物警戒中的变革性作用,展示了ADR应用在提高报告准确性和改善患者安全方面的潜力。然而,采用仍处于早期阶段,并因地区关系而分散。未来的研究应侧重于以患者为中心的应用程序开发、有效性评估和促进全球合作。加强数字素养和对ADR报告应用程序的大力投资对于优化其在医疗保健领域的影响至关重要。