Dental caries, contact with dental services and deprivation in young children: their relationship at a small area level

Br Dent J. 2000 Oct 14;189(7):376-9. doi: 10.1038/sj.bdj.4800775.

Abstract

Objective: To measure the relationship between tooth decay, contact with dental services and deprivation at electoral ward level.

Setting: The study was carried out in 1998 in Ellesmere Port in the North West of England.

Subjects and materials: All children younger than six years resident in Ellesmere Port registered with GDS services and those using CDS services were matched against the HA population register to identify unregistered children. Rates for children aged 3-5 years 'in contact' with primary dental care services, whether CDS or GDS, were calculated at ward level. One calibrated examiner examined all 5-year-old children in Ellesmere Port and dmft scores were calculated at ward level. Ward deprivation was measured using the Jarman score. Bivariate linear regressions at ward level were performed in turn between: dmft and Jarman score; rates for 3-5-year-olds in contact with dental services and Jarman score; and dmft and rates for 3-5-year-olds in contact with dental services.

Results: A significant linear relationship was observed between dmft and Jarman score (P=0.02, R2 = 0.43). Significant inverse relationships were found between rates for 3-5-year-olds in contact with dental services and Jarman score (P=0.001, R2 = 0.67), and also between dmft and rates for 3-5-year-olds in contact with dental services (P=0.002, R2 = 0.65).

Conclusions: A strong inverse relationship was found between dental caries and contact with primary dental care services at electoral ward level. This relationship needs to be explored over a wider geographical area to establish if it is consistent and independent of deprivation.

MeSH terms

  • Child Health Services / statistics & numerical data
  • Child, Preschool
  • DMF Index
  • Dental Care for Children / statistics & numerical data*
  • Dental Caries / epidemiology*
  • Dental Health Services / statistics & numerical data*
  • England / epidemiology
  • Humans
  • Linear Models
  • Poverty
  • Social Class*