Gender and Serious Drug Recalls: A Textual Sentiment Analysis of Drug Reviews on WebMD

• 成果类型: Article
• 署名作者: Ball, George P.; Bavafa, Hessam; Blanco, Christian C.; Park, Hyunwoo; Wowak, Kaitlin D.
• 署名单位: Indiana University System; Indiana University Bloomington; IU Kelley School of Business; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University System of Ohio; Ohio State University; Seoul National University (SNU); University of Notre Dame
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1177/10591478241256644
• 发表日期: 2025
• 页码: 698-710
• 关键词: Gender diversity; Textual analysis; pharmaceuticals; product recalls; hazard modeling

摘要

Consumers taking prescription drugs have limited ability to ascertain drug quality before taking the drug. After drug use, however, consumers frequently report their personal experiences with prescription drugs on one of the world's largest medical websites: WebMD. Drug reviews on WebMD are a potentially rich source of free-form text that can be utilized to inform firms, consumers, researchers, and the Food and Drug Administration (FDA) about the quality and safety of prescription drugs. Additionally, because men and women communicate in starkly different ways, the gender of the reviewer may play a key role in drug reviews signaling drug quality problems. We examine if drug review textual sentiment is associated with the hazard of a serious drug recall and whether this relationship varies depending on the gender of the reviewer. We analyze textual sentiment on drug reviews from WebMD along with 13 years of drug recall data using several hazard models. We find that the more negative the drug review sentiment, the greater the hazard of a serious recall on that drug. This relationship is completely explained by drug reviews written by females; reviews written by males have no explanatory power. Our findings are confirmed by numerous robustness checks. In post-hoc analysis, we explore possible mechanisms by comparing female and male adverse events on the recalled drugs in our study. Our contributions to gender diversity and drug quality literature lead to implications for the FDA, WebMD, and firms that manufacture prescription drugs.