Punished for Success? A Natural Experiment of Displaying Clinical Hospital Quality on Review Platforms

• 成果类型: Review; Early Access
• 署名作者: Jiang, Lianlian (Dorothy); Hou, Jinghui (Jove); Ma, Xiao; Pavlou, Paul A.
• 署名单位: University of Houston System; University of Houston
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2021.0630
• 发表日期: 2024
• 关键词: word-of-mouth; Social media; online; ratings; care; expectation; uncertainty; performance; BIAS; go

摘要

The healthcare market faces severe information asymmetry; patients struggle to evaluate the quality of hospitals and make informed decisions about their healthcare. Review platforms (e.g., Yelp) have begun to display the clinical quality of hospitals (alongside consumer reviews) to inform patients about hospital selection. In 2017 and 2019, Yelp introduced a feature with clinical measures of maternity care for hospitals that deliver babies in select markets. We study how clinical quality measures displayed on Yelp- especially for those (clinically) high -quality hospitals-influence subsequent patients' ratings of hospitals. Our difference -in -differences estimation shows that when clinical quality measures are displayed, high -quality hospitals are surprisingly punished with lower subsequent ratings on Yelp, especially hospitals with low staffing capacity. This novel finding is consequential for hospitals as patient dissatisfaction can jeopardize the federal funding that hospitals receive (CMS.gov). To tease out the underlying mechanism, we queried SafeGraph's precise foot traffic data, and we observed a significant patient surge for hospitals that have high maternity care clinical scores displayed on Yelp. We used transfer deep learning to show that because of the patient surge, (only) hospitals with high maternity scores that were short staffed received significantly more negative patient reviews and more complaints about key hospital service areas, thus driving patient dissatisfaction and lower ratings. We contribute to theory and practice by elucidating the role of publicly displaying clinical quality measures in patient (dis-)satisfaction with hospitals.