Kevin R. Pressley's Online Review Report Card
Kevin R. Pressley
4.7
Average Star Rating
14
Total Reviews
0
Recent Reviews
5
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.
Sentiment Analysis
Kevin R. Pressley does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
Google
WebMD
Yelp
Facebook
RateMDs
List of Kevin R. Pressley's Reviews
Very pleasant manner.
Reviewed On HealthGrades
Dr. Pressley always listens to me and allows me to participate in all my health-care decisions. There are times I have had to email a question or prescription refill request. He ALWAYS answers quickly. It's nice to know he's in my corner.
Reviewed On HealthGrades
I've been seeing Dr. Kevin Pressley for 3 years now, shortly after moving to Ocean Isle Beach. He always listens to my symptoms and discusses with me the options available so that I am part of the decision-making process. One time I had to wait 15 minutes on him and he actually apologized for keeping me waiting! When I've needed a referral, getting the appointment has been prompt and easier than if I called myself (I know because I tried!). Commwell has set up a patient portal and through that, I can email him. He's even answered me on the weekend, something I really didn't expect. Commwell and Dr. Pressley have helped me with the high costs of some of my prescriptions and that has been much appreciated.
Reviewed On Vitals
Very friendly and makes sure he goes over everything, he sees my 7year old, almost 2 year old and myself and his office really makes us feel as it's a place of comfort
Reviewed On HealthGrades
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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.
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