TY  - JOUR
AU  - Mulgund, Pavankumar
AU  - Sharman, Raj
AU  - Anand, Priya
AU  - Shekhar, Shashank
AU  - Karadi, Priya
PY  - 2020
DA  - 2020/9/28
TI  - Data Quality Issues With Physician-Rating Websites: Systematic Review
JO  - J Med Internet Res
SP  - e15916
VL  - 22
IS  - 9
KW  - physician-rating websites
KW  - data quality issues
KW  - doctor ratings
KW  - reviews
KW  - data quality framework
AB  - Background: In recent years, online physician-rating websites have become prominent and exert considerable influence on patients’ decisions. However, the quality of these decisions depends on the quality of data that these systems collect. Thus, there is a need to examine the various data quality issues with physician-rating websites. Objective: This study’s objective was to identify and categorize the data quality issues afflicting physician-rating websites by reviewing the literature on online patient-reported physician ratings and reviews. Methods: We performed a systematic literature search in ACM Digital Library, EBSCO, Springer, PubMed, and Google Scholar. The search was limited to quantitative, qualitative, and mixed-method papers published in the English language from 2001 to 2020. Results: A total of 423 articles were screened. From these, 49 papers describing 18 unique data quality issues afflicting physician-rating websites were included. Using a data quality framework, we classified these issues into the following four categories: intrinsic, contextual, representational, and accessible. Among the papers, 53% (26/49) reported intrinsic data quality errors, 61% (30/49) highlighted contextual data quality issues, 8% (4/49) discussed representational data quality issues, and 27% (13/49) emphasized accessibility data quality. More than half the papers discussed multiple categories of data quality issues. Conclusions: The results from this review demonstrate the presence of a range of data quality issues. While intrinsic and contextual factors have been well-researched, accessibility and representational issues warrant more attention from researchers, as well as practitioners. In particular, representational factors, such as the impact of inline advertisements and the positioning of positive reviews on the first few pages, are usually deliberate and result from the business model of physician-rating websites. The impact of these factors on data quality has not been addressed adequately and requires further investigation. 
SN  - 1438-8871
UR  - http://www.jmir.org/2020/9/e15916/
UR  - https://doi.org/10.2196/15916
UR  - http://www.ncbi.nlm.nih.gov/pubmed/32986000
DO  - 10.2196/15916
ID  - info:doi/10.2196/15916
ER  -