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      Emulation of Community Water Fluoridation Coverage Across US Counties

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          Abstract

          Introduction:

          Expansion of community water fluoridation has stalled in the United States, leaving 115 million Americans without fluoridated drinking water.

          Objective:

          This study used spatial regression methods to assess contributions of supply-side factors (neighboring counties’ fluoridation coverage) and demand-side factors (health literacy, education, and population density of the local county) in predicting the extent of fluoridation in US counties.

          Methods:

          For this cross-sectional ecological analysis, data from the 2014 Water Fluoridation Reporting System for all 3,135 US counties were merged with sociodemographic data from the 2014 American Community Survey and county-level estimates of health literacy based on the National Association of Adult Literacy Survey. We employed multilevel geographically weighted autoregressive models to predict fluoridation coverage of each county as a function of fluoridation coverage of neighboring counties and local-county covariates: either health literacy or sociodemographic characteristics. Akaike’s Information Criterion was used to distinguish the better model in terms of explanatory power and parsimony.

          Results:

          In the best-fit model, an increase from the first to third quartile of neighboring counties’ fluoridation coverage was associated with an increase of 27.76 percentage points (95% confidence limits [CI] = 27.71, 27.81) in a local county’s fluoridation coverage, while an increase from the first to third quartile of local county’s health literacy was associated with an increase of 2.8 percentage points (95% CL = 2.68, 2.89). The results are consistent with a process of emulation, in which counties implement fluoridation based upon their population’s health literacy and the extent of fluoridation practiced in neighboring counties.

          Conclusion:

          These results suggest that demand for community water fluoridation will increase as health literacy increases within a county. Furthermore, when considering expansion of fluoridation, non-fluoridated communities can benefit from precedents from nearby communities that are fluoridated.

          Knowledge Transfer Statement:

          Expanded coverage of community water fluoridation has stalled in the United States. The economic theory of diffusion describes how, over time and space, policy enacted in one community can influence public opinion in a neighboring community. This study applies geospatial analysis of county-level data and the theory of policy diffusion to demonstrate that fluoridated counties can promote the implementation of community water fluoridation in their neighboring, non-fluoridated communities.

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          Author and article information

          Journal
          JDR Clin Trans Res
          JDR Clin Trans Res
          JCT
          spjct
          JDR Clinical and Translational Research
          SAGE Publications (Sage CA: Los Angeles, CA )
          2380-0844
          2380-0852
          25 November 2019
          October 2020
          25 November 2020
          : 5
          : 4
          : 376-384
          Affiliations
          [1 ]Political Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
          [2 ]Division of Pediatric and Public Health, UNC Adams School of Dentistry, Chapel Hill, NC, USA
          Author notes
          [*]G.D. Slade, Division of Pediatric and Public Health, UNC Adams School of Dentistry, Brauer Hall, CB #7450, Chapel Hill, NC 27599-7450, USA. Email: gary_slade@ 123456dentistry.unc.edu
          Article
          PMC7495946 PMC7495946 7495946 10.1177_2380084419887696
          10.1177/2380084419887696
          7495946
          31765603
          22a014f1-982b-4624-ac5b-c3b046dd45fc
          © International & American Associations for Dental Research 2019
          History
          Funding
          Funded by: National Institute of Dental and Craniofacial Research, FundRef https://doi.org/10.13039/100000072;
          Award ID: UH2DE025494
          Categories
          Original Reports
          Health Services Research
          Custom metadata
          ts1

          health literacy,geographic locations,public health dentistry,socioeconomic factors,regression analysis,United States

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