Ryann M. Donaldson's Online Review Report Card
4.1
Average Star Rating
9
Total Reviews
1
Recent Reviews
5
Review Sites Found
Accepts Medicare
Yes
Medical School
UNIVERSITY OF HOUSTON - COLLEGE OF OPTOMETRY
Graduation Year
1997
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Ryann M. Donaldson does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Ryann M. Donaldson's Reviews
Dr. Donaldson is extremely knowledgeable. Answered all our questions. Great office staff! Highly recommend.
Worst customer support, came to try to buy lenses and women could not advice anything; she couldn’t even attend me well as she was hopping on phone calls all the time, this people are so disrespectful. A total waste of time
Enjoyed this place very much staff was nice and cheerful made me feel welcome. I would recommend this place to friends and family.
My family and I have been seeing the Drs. Donaldson for about 10 years. They are always patient & able to explain things to us & our kids. I always feel welcome there & they don't pressure me to upgrade my backup pair of glasses, which I appreciate. This year my middle child got contacts. They worked with me to find the least expensive way to upgrade her glasses to the new prescription & get a year's worth of contacts without breaking the bank. We're going to put new lenses in her old pair.
Dr. Donaldson is very good about explaining everything that he sees during the examination and listens to anything that you may have concerns about. I have been going to the Grand Parkway office for over ten years and have been very happy with my experience.
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Locations
No related location
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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