ObjectivesTo determine the prevalence of odontogenic cysts and tumors along with age range, sex distribution, site of presentation and also to identify the most common type of odontogenic cyst and tumor among the population of coastal Karnataka over a 10-year period.MethodsData was collected from patient records and histologically diagnosed cases of odontogenic cysts and tumors. The age, gender of patients, as well as the site of lesion was recorded.ResultsA total of 167 cases were retrieved. Among them, 125 cases were diagnosed as odontogenic cysts and 42 cases were odontogenic tumors. Radicular cyst was the most frequently diagnosed cyst and unicystic ameloblastoma was the most frequently diagnosed tumor. A strong predilection for males was observed for both the odontogenic cysts and odontogenic tumors. Odontogenic cysts were more commonly seen in individuals in the age range 21–41 years, while odontogenic tumors were frequently seen in individuals in the age range 1–20 years.ConclusionThis study provides an epidemiological profile of odontogenic cysts and odontogenic tumors among a rural population of coastal Karnataka. There is a notable variation in demographic profile of odontogenic cysts and odontogenic tumors in this population when compared with other populations.

Background: It is imperative to have a thorough assessment of the existing distribution of oral healthcare facilities and understand potential accessibility when planning for expansion of oral health services. In the present study, an attempt to measure geographic accessibility to oral healthcare, by locating the availability of dental practitioners in the coastal districts of Karnataka state, India using a geographical information system (GIS), has been made. Methods: For the study, data on public and private oral health centres were collected for the three coastal districts of Karnataka state, India. Population and income data were collected, along with geographic attributes (latitudes and longitudes) of the practitioners' addresses. Descriptive statistical analyses and dentist-to-population ratios (D:P) were calculated. Correlation between the number of clinics with population and D:P with per capita income were analyzed using Pearson's correlation coefficient. Chi-square test applied to analyze any association between D:P and urbanization. Results: Among 340 clinics, 8.5% are public and 91.5% are private clinics catering to a population of 4,704,179. Average D:P for the three coastal districts is 1:13,836. There is an uneven urban-rural distribution of dentists with lower D:P in rural areas. Rural population in four taluks have only one dentist for over a lakh population. Six taluks have only one dentist for every 50000 – 100000 population in rural areas. Six rural areas had only public centers to cater to their oral health.   Conclusions: From the study, it is concluded that oral health services were concentrated in areas with higher annual income per-capita, increased urbanization and population density.

Background: It is imperative to have a thorough assessment of the existing distribution of oral healthcare facilities and understand potential accessibility when planning for expansion of oral health services. In the present study, an attempt to measure geographic accessibility to oral healthcare, by locating the availability of dental practitioners in the coastal districts of Karnataka state, India using a geographical information system (GIS), has been made. Methods: For the study, data on public and private oral health centres were collected for the three coastal districts of Karnataka state, India. Population and income data were collected, along with geographic attributes (latitudes and longitudes) of the practitioners' addresses. Descriptive statistical analyses and dentist-to-population ratios (D:P) were calculated. Correlation between the number of clinics with population and D:P with per capita income were analyzed using Pearson's correlation coefficient. Chi-square test applied to analyze any association between D:P and urbanization. Results: Among 340 clinics, 8.5% are public and 91.5% are private clinics catering to a population of 4,704,179. Average D:P for the three coastal districts is 1:13,836. There is an uneven urban-rural distribution of dentists with lower D:P in rural areas. Rural population in four taluks have only one dentist for over a lakh population. Six taluks have only one dentist for every 50000 – 100000 population in rural areas. Six rural areas had only public centers to cater to their oral health.   Conclusions: From the study, it is concluded that oral health services were concentrated in areas with higher annual income per-capita, increased urbanization and population density.