Factors influencing older people's self reported use of dental services in the UK

Gerodontology. 1999 Dec;16(2):97-102. doi: 10.1111/j.1741-2358.1999.00097.x.

Abstract

Objectives: This study was designed to determine the use of dental services and factors associated with their use among the United Kingdoms' older population.

Design: A national study involving 1,116 older people (aged 60 or older).

Setting: Home Interviews were undertaken exploring the time and reason for last dental visit. In addition, socio-demographic characteristics and proxy oral health measures (self-reported number of teeth and edentulous status) of the respondents were collected.

Results: Forty seven percent (528) claimed they visited the dentist within the past year, 10% (116) claimed that the reason for their last visit was because of a dental emergency, 43% (484) were classified as "regular attenders"--having attended the dentist within the past year for a non dental emergency. Bivariate analysis identified that regular dental attendance was associated with age (P < 0.01), social class (P < 0.01), income level (P < 0.01), educational attainment (P < 0.01), self-reported number of teeth possessed (P < 0.01) and edentulous status (P < 0.01). In regression analysis, self reported edentulous status and number of teeth possessed emerged as the most important factors in determining service utilisation. Possessing a full denture was associated with a 6-fold decrease, having accounted for other factors, in the likelihood of attending the dentist within the past year for a non dental-emergency (OR = 0.15, CI 0.10, 0.21).

Conclusion: Less than half of the sample population were "regular dental attenders", their attendance was associated with a number of socio-demographic and oral health factors. In particular, edentulous state was a major factor associated with their use of services.

MeSH terms

  • Age Factors
  • Aged
  • Dental Care for Aged / statistics & numerical data*
  • Dental Health Surveys
  • Dentures / statistics & numerical data
  • Educational Status
  • Emergency Treatment / statistics & numerical data
  • Humans
  • Income
  • Interviews as Topic
  • Likelihood Functions
  • Logistic Models
  • Middle Aged
  • Mouth, Edentulous / epidemiology
  • Self-Assessment
  • Social Class
  • United Kingdom / epidemiology