title: Inter- and intra-examiner reliability of footprint pattern analysis obtained from diabetics using the Harris mat.
abstract: BACKGROUND
  High plantar pressure is a proven risk factor for ulceration among individuals with diabetes mellitus. The Harris and Beath footprinting mat is one of the tools used in screening for foot ulceration risk among these subjects. There are no reports in the literature on the reliability of footprint analysis using print pattern criteria.
  
  
  OBJECTIVE
  The aim of this study was to evaluate the inter- and intra-examiner reliability of the analysis of footprint patterns obtained using the Harris and Beath footprinting mat.
  
  
  METHODS
  Footprints were taken from 41 subjects using the footprinting mat. The images were subjected to analysis by three independent examiners. To investigate the intra-examiner reliability, the analysis was repeated by one of the examiners one week later.
  
  
  RESULTS
  The weighted kappa coefficient was excellent (K(w) > 0.80) for the inter- and intra-examiner analyses for most of the points studied on both feet.
  
  
  CONCLUSIONS
  The criteria for analyzing footprint patterns obtained using the Harris and Beath footprinting mat presented good reliability and high to excellent inter- and intra-examiner agreement. This method is reliable for analyses involving one or more examiners. Article registered in the Australian New Zealand Clinical Trials Registry (ANZCTR) under the number ACTRN12609000693224.
authors: Departamento de Fisioterapia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. ligialoiola@ufmg.br
authors: Lígia de Loiola
authors: Lde L
authors: Cisneros
authors: Tiago H S
authors: TH
authors: Fonseca
authors: Vivianni C
authors: VC
authors: Abreu
mesh_terms: D017719:Diabetic Foot / Q000175:diagnosis*; D006801:Humans; D008875:Middle Aged; D015588:Observer Variation; D010808:Physical Examination / Q000379:methods* / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods / Q000706:statistics & numerical data