Semantic Analysis of Online Dentist Review: Toward Assessing Safety and Quality of Dental Care
Safety and quality measurement of dental care is important but shows a lack of standardized measure concept set. In recent years, patient review websites (PRW) emerged as a widely used platform for health consumers, including dental patients. The massive patient online reviews (POR) are a rich data source that captures various aspects of safety and quality of dental care, such as patient experience, cost, clinical efficiency, outcomes, etc. However, PORs consist of both structured data (e.g., ratings) and unstructured data (e.g., comments in free text). The processing of textual data is costly for traditional qualitative methods. This study aims to jointly leverage automated text processing and expert evaluation to extract safety and quality related semantic information from dental PORs. As an exploratory study, we sampled dental PORs of Los Angeles, California from RateMDs. Using the National Quality Measures Clearinghouse (NQMC) domain framework as a reference, we identified salient topics relating to clinical quality measures (e.g., patient experience), healthcare delivery measures (e.g., cost, management), etc. We also identified topics relevant to safety and quality but were not covered by any domains of NQMC, suggesting a possible gap of concepts. Finally, our study demonstrated great potential of adopting informatics, specifically, social media computing in POR study of dental care.
KeywordsQuality of health care Social media Dental care
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