Content analysis of oral health messages in Telegram social network

The aim of this study was content analysis to examine the content of oral health messages present in the most viewed channels of telegrams as social network.

This  study was a descriptive anelytical one. The content of the most viewed health channels provided by the cyberspace organisation to the researchers. Our sample included oral health messages as texts, depicts, and videos during 4 weeks period in winter of 2018. Befor filtering  We conducted an inductive content analysis of a non random sample of 23000 messages, and coding was done by the MAXqda 2010 software.

Analysis of the oral health messages resulted in 21 subcategories and 5 main categories.
Including and health , oral disease, esthethic, nutrition and others. Among 23,000 commerical and health massage, 244 ones (1.06%) was correlated with dental and oral health. Freguency of data in decending order were related to esthetic, oral disease (etiology, prevention and treatment), oral health, nutrition and others. Between all massages, only one fifth was corresponded to scientific evidence.

It seems, related massages of dental and oral health in telegram social network was on percent and had little accordance to scientific evidence.