Daphne Florence Md's Online Review Report Card
Daphne Florence Md
4.2
Average Star Rating
6
Total Reviews
0
Recent Reviews
2
Review Sites Found
Accepts Medicare
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Medical School
-
Graduation Year
-
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Daphne Florence Md does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
| Review Sites Found | Average Score | Number of Reviews | Recent Reviews | Listing Status | Grade |
Google
|
- | - | - | Not Found/Missing | - |
WebMD
|
0 | 0 | 0 | Found | - |
Yelp
|
- | - | - | Not Found/Missing | - |
HealthGrades
|
- | - | - | Not Found/Missing | - |
Facebook
|
- | - | - | Not Found/Missing | - |
RateMDs
|
- | - | - | Not Found/Missing | - |
Vitals
|
4.2 | 6 | 0 | Found | - |
List of Daphne Florence Md's Reviews
I can't thank her enough for making my labor experience so pleasurable. Apparently my anatomy is not the norm and the first anesthesiologist was unable to place my epidural. I was told that I might not be able to get one and that prospect was terrifying. I was so thankful that Dr. Florence was able to place an epidural for me. I will be requesting her for my next baby!
Dr. Florence demonstrated exemplary care and her bedside manner made me feel at ease. My procedure required me to have a spinal, which completely mitigated my pain post operatively. I would request and recommend her to any of my family and friends.
I waited for her to wake up for almost 3 hours. Nurses at the hospital couldn't wake her up to give me an epidural. And when she came, her eyes were so puffy, I was scared to death to get the epidural. Poor poor poor! I would fire this women if I could.
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Locations
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Selection Criteria
All the information you see here is based on our analysis of internet reviews across the seven major review platforms most used by consumers during their healthcare provider selection. The platforms we selected are Google, WebMD, Yelp, HealthGrades, Facebook, RateMDs, and Vitals. The analysis algorithm uses the compiled data of average score, recency of reviews, number of reviews, and the sentiment expressed in the written comments. It then assigns weight to each parameter based on the available research on how consumers use reviews in their doctor selection process. This report is designed to help identify the doctors with the best overall review score in an area and does not reflect the doctors' competence.
Disclaimer
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Google
WebMD
Yelp
HealthGrades
Facebook
RateMDs
Vitals
