title: Council tax valuation band of patient residence and clinical contacts in a general practice.
abstract: BACKGROUND
  There is a dearth of data relating UK general practice workload to personal and social markers of individual patients.
  
  
  OBJECTIVE
  To test whether there is a significant association between general practice patient contact rates and the council tax valuation band of their residential address.
  
  
  METHODS
  Cross-sectional analyses using data recorded, over 1 year, for over 3300 general practice patients.
  
  
  METHODS
  One medium-sized group practice in an industrialised English market town.
  
  
  METHODS
  Face-to-face contacts between the patients and the doctors and nurses in the practice were compared by patient age, sex, registration period, distance from surgery, Underprivileged Area 8 (UPA8) score, and council tax valuation band.
  
  
  RESULTS
  Patient sex, age, recent registration, distance from surgery, and council tax valuation band were each significantly associated with face-to-face contact rate in univariate analyses. UPA8 score was not significantly associated with contact rates. On multivariate testing, sex, age, recent registration, and council tax valuation band remained significantly associated with contact rates. The last is a new finding.
  
  
  CONCLUSIONS
  Council tax valuation bands predict contact rate in general practice; the lower the band, the higher the contact rate. Council tax valuation band could be a useful marker of workload that is linked to socioeconomic status. This is a pilot study and multipractice research is advocated.
authors.affiliation: Northlands R&D General Practice, Calne.
authors.forename: Norman
authors.initials: N
authors.lastname: Beale
authors.forename: Gordon
authors.initials: G
authors.lastname: Taylor
authors.forename: Dawn
authors.initials: D
authors.lastname: Straker-Cook
authors.forename: Carole
authors.initials: C
authors.lastname: Peart
authors.forename: Mark
authors.initials: M
authors.lastname: Gwynne
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D016009:Chi-Square Distribution; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D004739:England; D005194:Family Practice / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data; D017678:Sex Distribution; D012959:Socioeconomic Factors; D013660:Taxes / Q000191:economics* / Q000706:statistics & numerical data