Relationship between community-level variables and number of general dentists

Raymond A. Kuthy, Susan C. McKernan, Mark Pooley, M. Bridget Zimmerman

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: In this study, the authors used observational data from 2014 to evaluate the association between the number of general dentists and several community characteristics. Methods: The authors collected community-level characteristics from secondary sources for all 947 Iowa incorporated communities to study their relationships with the mean number of general dentists per 1,000 population per square mile (population density), the dependent variable. The authors used zero-inflated negative binomial models to examine the association between the dependent and predictor variables. Results: Only 22.8% of communities had a dentist. Urban, young, well-educated, fluoridated communities with at least 1 elementary school had the highest estimated mean concentration of dentists. Isolated communities with older, less educated adults and lacking fluoridation and an elementary school had the fewest dentists. Conclusions: Although population is an important determinant for where a dentist practices, other variables such as urbanization, demographic characteristics, fluoridation status, and presence of at least 1 elementary school are also predictors of the number of dentists in a community. Practical Implications: These findings provide dental students and young practitioners useful information by highlighting community characteristics that are associated with office locations.

Original languageEnglish (US)
Pages (from-to)308-316
Number of pages9
JournalJournal of the American Dental Association
Volume149
Issue number4
DOIs
StatePublished - Apr 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 American Dental Association

Keywords

  • Dentist
  • educational status
  • population
  • population density
  • rural population
  • rural spatial distribution
  • socioeconomic factor

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