title: Using Medicaid claims to construct dental service market areas.
abstract: OBJECTIVE
  To use Medicaid claims data to construct patient origin-based market areas for dental services and compare constructed market areas with those based on the practice county.
  
  
  METHODS
  North Carolina Medicaid claims, eligibility, and provider files, the Cooperative Health Information Systems' dentist licensure files, and the Log Into North Carolina data.
  
  
  METHODS
  A visit-level file was created from the Medicaid claims data and aggregated by provider practice county and patient county of residence. Using the aggregated file and an algorithm based on the Elzinga-Hogarty approach, patient travel patterns were used to construct mutually exclusive patient origin market areas.
  
  
  METHODS
  Market area characteristics were compared across definitions using Pearson correlation coefficients. In addition, estimations of provider participation were performed using market area characteristics as control variables. The beta coefficients associated with market area characteristics were compared across market area definitions.
  
  
  RESULTS
  Medicaid claims data, when combined with provider licensure files, can be used to construct market areas based on patient origin data. However, measures of market area characteristics are correlated highly between the two types of market areas studied. Furthermore, beta coefficients on market area variables in models of provider participation are similar in sign, significance, and magnitude across market definitions.
  
  
  CONCLUSIONS
  Compared with market areas constructed using patient origin data, county-based market areas adequately proxy for dental markets. Using the county as the market area also avoids the time and computational costs associated with using a patient origin-based approach and facilitates the use of widely available data.
authors.affiliation: Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Mayer
mesh_terms: D002391:Catchment Area, Health / Q000706:statistics & numerical data*; D002648:Child; D003752:Dental Health Services / Q000706:statistics & numerical data*; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006302:Health Services Research / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D007344:Insurance Claim Reporting / Q000706:statistics & numerical data*; D008005:Licensure, Dental / Q000706:statistics & numerical data; D008484:Medicaid / Q000706:statistics & numerical data*; D009657:North Carolina; D012044:Regression Analysis; D012107:Research Design; D012111:Residence Characteristics; D014481:United States