title: Agreement between structured checklists and Medicaid claims for preventive dental visits in primary care medical offices.
abstract: For program evaluation purposes, the feasibility of matching Medicaid claims with physician-completed structured checklists (encounter forms, EFs) was assessed in a pediatric office-based preventive dental program. We examined agreement on visits (weighted kappa) and predictors of a match between EFs and claims (multinomial logit model with practice-level clustering). In total, 34,171 matches occurred between 41,252 EFs and 40,909 claims, representing 82.8 per cent of EFs and 83.5 per cent of claims. Agreement on visits was 56 per cent (weighted kappa = 0.66). Pediatric practices provided the majority of visits (82.4%) and matches. Increasing age of child and residence in same county as the medical practice increased the likelihood of a match. Structured checklists can be combined with claims to better assess provision of preventive dental services in pediatric primary care. However, future research should examine strategies to improve the completion of structured checklists by primary care providers if data beyond claims are to be used for program evaluation.
authors.affiliation: Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC 27599, USA. bhavna_pahel@unc.edu
authors.forename: Bhavna T
authors.initials: BT
authors.lastname: Pahel
authors.forename: R Gary
authors.initials: RG
authors.lastname: Rozier
authors.forename: Sally C
authors.initials: SC
authors.lastname: Stearns
mesh_terms: D057189:Checklist; D002648:Child; D002675:Child, Preschool; D019140:Dental Care for Children / Q000191:economics / Q000706:statistics & numerical data*; D005240:Feasibility Studies; D006801:Humans; D007344:Insurance Claim Reporting; D008484:Medicaid; D009819:Office Visits / Q000191:economics / Q000706:statistics & numerical data*; D011313:Preventive Dentistry / Q000706:statistics & numerical data*; D011320:Primary Health Care; D015397:Program Evaluation / Q000379:methods; D014481:United States