title: Will a web-based cardiovascular disease (CVD) risk assessment programme increase the assessment of CVD risk factors for Maori?
abstract: BACKGROUND
  Maori suffer disproportionately from cardiovascular disease despite the national priority of reducing inequalities. National guidelines on the clinical management of CVD risk recommend a comprehensive risk assessment be completed as a prerequisite for identifying patients most likely to benefit from treatment.
  
  
  METHODS
  A retrospective audit of GPs using PREDICT-CVD (an electronic risk assessment and management tool) was designed with adequate explanatory power for Maori to determine if it could increase CVD risk assessment without increasing inequalities. 1680 electronic medical records (EMRs) prior to implementation and 1884 after implementation of PREDICT were audited.
  
  
  RESULTS
  Documentation of CVD risk increased from 3.2% of EMRs to 14.7% of EMRs in Maori, and from 2.8% to 10.5% in non-Maori. The documentation of individual CVD risk factors also increased post-implementation of the tool.
  
  
  CONCLUSIONS
  The implementation of PREDICT-CVD was as likely to increase documentation of CVD risk assessment and risk factors in Maori as in non-Maori. However documentation was still low in Maori despite known high prevalence of CVD risk factors. A comprehensive quality-driven implementation programme is recommended, including targeting risk assessment for those most in need.
authors.affiliation: Health Gain Team, Waitemata District Health Board, Takapuna, Auckland.
authors.forename: Robyn
authors.initials: R
authors.lastname: Whittaker
authors.forename: Dale
authors.initials: D
authors.lastname: Bramley
authors.forename: Sue
authors.initials: S
authors.lastname: Wells
authors.forename: Alistair
authors.initials: A
authors.lastname: Stewart
authors.forename: Vanessa
authors.initials: V
authors.lastname: Selak
authors.forename: Sue
authors.initials: S
authors.lastname: Furness
authors.forename: Natasha
authors.initials: N
authors.lastname: Rafter
authors.forename: Paul
authors.initials: P
authors.lastname: Roseman
authors.forename: Rod
authors.initials: R
authors.lastname: Jackson
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002318:Cardiovascular Diseases / Q000208:ethnology*; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000208:ethnology; D004282:Documentation / Q000379:methods; D005194:Family Practice / Q000295:instrumentation; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008485:Medical Audit; D008875:Middle Aged; D009520:New Zealand / Q000453:epidemiology; D009862:Online Systems / Q000295:instrumentation*; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D017678:Sex Distribution; D012907:Smoking / Q000208:ethnology