Mapping the geographic availability of public dental services in Uganda relative to ruralization and poverty of the population

Objectives: Uganda is a low-income country faced with a number of challenges in health service delivery, including oral health services. Despite reports of an increased prevalence of oral diseases, they are afforded less priority, amidst competing priorities of infectious and other non-communicable diseases. Oral health-care services are offered free-of-charge in public health facilities. The majority of the Ugandan population live in rural areas. This would imply that public dental services should be more widely distributed in rural areas to meet the needs of the majority population. This study, therefore, aimed to determine the geographic distribution of public dental services relative to poverty and ruralization of the Ugandan population. Materials and Methods: All 112 districts in Uganda were to be surveyed for this study using an ecological design that incorporated the Ugandan population with socio-demographics obtained from the latest Uganda National Housing and Population Census and poverty data from the national Poverty Status Report 2014. The data from the districts were on the availability of public dental services and the physical location of these dental facilities. Overall, 182 public facilities were included in the study. The geographic location of public dental clinics was established using open-data sources. The data on ruralization were aggregated at the district level and that on poverty at the subregion level. Spatial analysis was done using geographic information science software, Quantum Geographic Information System. Results: The total Ugandan population was 34 million. Overall, 19.7% of the population was poor with the highest proportion located in the North and East of Uganda. Urban-rural characteristics varied across the country. Information on the 182 public dental clinics was collected from 97 of the 112 Ugandan districts. Among the 97 districts, 15% had no public clinic and were located in the poorest Ugandan regions. Among the 40 districts containing over 90% of the rural population, 20% had none, and 55% only had one dental clinic. In general, service availability reduced as the proportion of the rural and poor population increased. Conclusion: The spatial analysis presents an avenue to inform and guide the decision making and planning process by identifying geographic areas with access gaps relative to population socio-demographic characteristics. This study revealed that public dental services were least available for the poorest and rural populations, and yet they are already vulnerable to other access barriers. It is recommended that efforts should be made by health planners and policymakers to avert the health inequalities presented by inequitable access.