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• More than 3/4 of those surveyed (77%) said they preferred to see medical staff wearing uniforms.
• Lab coats were the overwhelmingly winner in preferred uniform styles for more than 81% of respondents for medical/dental offices.
• When personnel wear uniforms, those surveyed said that it positively influenced their perception of employees and their ability to do their jobs.
• 55% said uniforms made them trust the staff.
• 53% said wearing uniforms increased the credibility of the staff.*

*The sample for this survey was drawn from an opt-in list of e-mail recipients. E-mails including an invitation to take the survey and a link to the survey site were sent to 19,880 e-mail addresses, from which 792 responses were received. The survey collected demographic information on consumers in order to gauge the homogeneity of the sample as well as to perform some basic demographic analysis regarding uniform preferences. The Customer Perception of Uniforms in the Workplace was sponsored by the Uniform and Textile Service Association and conducted by J.D. Power and Associates in 2000.

Did you know that more than 64% of patients across America prefer wearing a cloth patient gown to one made of disposable paper?

AND

Overwhelmingly, 72% of those surveyed said that cloth patient gowns are more comfortable than paper gowns.*

*The survey is based on telephone interviews conducted on a national omnibus survey during the period of October 2 to 5 and October 18 to 22 2002, as part of EXCEL National Telephone Omnibus Study conducted by International Communications Research. The survey was conducted among a nationwide cross-section of 1,000 adult American men and women ages 18 or older divided equally and living in the continental United States. EXCEL uses a fully replicated, stratified, single-stage random-digit-dialing (RDD) sample of telephone households. The survey was weighted to provide nationally representative and projectable estimates of the adult population 18 years of age and older. The weighting process takes into account the disproportionate probabilities of household selection due to the number of separate telephone lines and and the probability associated with the random selection of an individual household member. Following application of the above weights, the sample is post-stratified and balanced by key demographics such as age, sex, region and education.