| Literature DB >> 31038463 |
Cynthia Liu1, Meka Uffenheimer1, Yosef Nasseri1, Jason Cohen1, Joshua Ellenhorn1.
Abstract
BACKGROUND: Patients use Web-based platforms to review general surgeons. However, little is known about the free-form text and structured content of the reviews or how they relate to the physicians' characteristics or their practices.Entities:
Keywords: Los Angeles; Web-based ratings; Yelp; digital health; general surgery; patient satisfaction
Mesh:
Year: 2019 PMID: 31038463 PMCID: PMC6658237 DOI: 10.2196/11646
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Demographics (N=146).
| Characteristics | Statistics, n (%) |
| Male | 113 (77.4) |
| Private practice | 55 (38) |
| Institutional employed | 91 (69.2) |
| Physicians with website | 42 (28.7) |
| Foreign medical school graduate | 19 (13.0) |
| Physicians with a Yelp page | 59 (40.4) |
| Physicians reviewed on Yelp | 51 (34.9) |
| Physicians with negative reviews | 29 (19.8) |
Figure 1Distribution of reviews. The chart on the left shows the breakdown of positive reviews among the 59 physicians who had a Yelp page, whereas the chart on the right shows the breakdown of negative reviews. The number of negative and positive reviews is shown along with the number of physicians who had that number of negative and positive reviews, respectively.
Statistical analysis via 2-way Pearson correlation analysis.
| Reviews | Number of reviews, mean (SD) | |
| Total reviews (n=806) | 5.6 (18.08) | .001 |
| Negative reviews (n=126) | 0.86 (4.33) | .001 |
Statistical analysis via 1-way analysis of variance analysis.
| Variable | ||
| Comparing total number of reviews | Comparing number of negative reviews | |
| Number of years since graduating from medical school | .05 | .85 |
| Zip code | .20 | .7 |
Statistical analysis via independent t test.
| Variable | Number of physicians with any reviews | Reviews | Negative reviews | ||||
| Total, N | Mean (SD) | Total, N | Mean (SD) | ||||
| Private practice physicians (n=55) | 34 | 720 | 18 (31.4) | .002 | 118 | 3.11 (8.13) | .03 |
| Institution employed physicians (n=91) | 17 | 86 | 0.96 (3.18) | .002 | 8 | 0.09 (0.35) | .03 |
| Medical school out of United States (n=19) | 5 | 31 | 1.6 (3.20) | .32 | 11 | 0.6 (1.54) | .76 |
| Medical school in United States (n=127) | 46 | 775 | 6.1 (19.3) | .32 | 115 | 0.91 (4.60) | .76 |
| Male (n=113) | 38 | 480 | 4.2 (11.6) | .32 | 54 | 0.48 (1.22) | .28 |
| Female (n=33) | 13 | 326 | 9.9 (31.3) | .32 | 72 | 2.18 (8.79) | .28 |
| Possess professional website (n=42) | 28 | 687 | 16 (31.0) | .003a | 97 | 2.3 (7.80) | .10 |
| Do not possess professional website (n=104) | 23 | 119 | 1.1 (3.23) | .003 | 29 | 0.28 (0.98) | .10 |