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Validity of Diabetes
Prevalence from Health Data
Simon Thornley, Craig Wright, Roger Marshall,
Gary Jackson, Paul L Drury, Susan Wells, James
Smith, Wing Cheuk Chan, Romana Pylypchuk, Rod
                   Jackson.




 NZSSD Conference
     Apr 2010
     Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Outline

  Diabetes prevalence

  Routine data

  Accuracy
    
        Compare to primary care
        database

    Capture-Recapture
    
        Diagnosed vs undiagnosed
Diabetes Prevalence

  Rapid increase last
  30 years

  Time trends
    
      Health Planning
    
      Primary Prevention
      efficacy
Surveys

  e.g. 2005 NZHS

  Not frequent

  Limited by selection
  bias (e.g. 70%
  response)

          Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Health data
Linked by NHI
Dispensing, Diagnoses, Labs,
 Mortality, GP.
Improved quality since 2006,
 >90% NHI linkage
Similar overall prevalence to
 survey results (Smith 2010)


          Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Algorithm
   Record review

   Diabetes if:
     5+ HbA    last two years
             1c
     Hospital ICD(1998-2008)

     Diabetes clinic ('04-'08)

     Dispensing    ('01-'08)
            Simon Thornley, Wing
      −insulin/oral hypo
     Cheuk Chan, Paul Drury, Rod Jackson
Aim

  Assess validity of
 derived diabetes
 prevalence

  Compare to Primary
 care cohort
 (PREDICT) Wing
      Simon Thornley,
    Cheuk Chan, Paul Drury, Rod Jackson
“Gold Standard”
 PREDICT TM CVD RISK
 GP entered diagnosis.
 >100,000('00-'10)

 54,000 enter '07-'08
 Upper North Island



          Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Agreement?

  PREDICT vs.
  Algorithm?

  Sensitivity,
  Specificity, Kappa

  Capture-Recapture
          Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson

    Recording of diabetes status?




            Simon Thornley, Wing
      Cheuk Chan, Paul Drury, Rod Jackson
Results

  PREDICT: 53,911

  20% Pac, 16% Maori

  Diabetes prevalence
  
    20.1% Algorithm
  
    20.9% PREDICT
  
    23.7% Capture-recap
       Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Results

  Good agreement

  Sens~86% P(A+|P+)

  Spec~96% P(A-|P-)

  Kappa~85%

  Capture-Recapture
    
      ~15% undercount in Algorithm
    
      ~10% undercount in PREDICT
            Simon Thornley, Wing
        Cheuk Chan, Paul Drury, Rod Jackson
Agreement Diagram
  Total


Algorithm




PREDICT   Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Summary

 Algorithm is
 accurate

 High level
 agreement

 Cheap, cost-
 effective method
     Simon Thornley, Wing
    Cheuk Chan, Paul Drury, Rod Jackson
Thank You
      Dr Simon Thornley, Lecturer,
          University of Auckland
Section of Epidemiology and Biostatistics
       s.thornley@auckland.ac.nz
        www.slideshare.net/sithor
       Simon Thornley, Wing
 Cheuk Chan, Paul Drury, Rod Jackson

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Predict and diabetes

  • 1. Validity of Diabetes Prevalence from Health Data Simon Thornley, Craig Wright, Roger Marshall, Gary Jackson, Paul L Drury, Susan Wells, James Smith, Wing Cheuk Chan, Romana Pylypchuk, Rod Jackson. NZSSD Conference Apr 2010 Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 2. Outline  Diabetes prevalence  Routine data  Accuracy  Compare to primary care database  Capture-Recapture  Diagnosed vs undiagnosed
  • 3. Diabetes Prevalence  Rapid increase last 30 years  Time trends  Health Planning  Primary Prevention efficacy
  • 4. Surveys  e.g. 2005 NZHS  Not frequent  Limited by selection bias (e.g. 70% response) Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 5. Health data Linked by NHI Dispensing, Diagnoses, Labs, Mortality, GP. Improved quality since 2006, >90% NHI linkage Similar overall prevalence to survey results (Smith 2010) Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 6. Algorithm  Record review  Diabetes if:  5+ HbA last two years 1c  Hospital ICD(1998-2008)  Diabetes clinic ('04-'08)  Dispensing ('01-'08) Simon Thornley, Wing −insulin/oral hypo Cheuk Chan, Paul Drury, Rod Jackson
  • 7. Aim  Assess validity of derived diabetes prevalence  Compare to Primary care cohort (PREDICT) Wing Simon Thornley, Cheuk Chan, Paul Drury, Rod Jackson
  • 8. “Gold Standard”  PREDICT TM CVD RISK  GP entered diagnosis.  >100,000('00-'10)  54,000 enter '07-'08  Upper North Island Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 9. Agreement?  PREDICT vs. Algorithm?  Sensitivity, Specificity, Kappa  Capture-Recapture Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 10. Recording of diabetes status? Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 11. Results  PREDICT: 53,911  20% Pac, 16% Maori  Diabetes prevalence  20.1% Algorithm  20.9% PREDICT  23.7% Capture-recap Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 12. Results  Good agreement  Sens~86% P(A+|P+)  Spec~96% P(A-|P-)  Kappa~85%  Capture-Recapture  ~15% undercount in Algorithm  ~10% undercount in PREDICT Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 13. Agreement Diagram Total Algorithm PREDICT Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 14. Summary  Algorithm is accurate  High level agreement  Cheap, cost- effective method Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson
  • 15. Thank You Dr Simon Thornley, Lecturer, University of Auckland Section of Epidemiology and Biostatistics s.thornley@auckland.ac.nz www.slideshare.net/sithor Simon Thornley, Wing Cheuk Chan, Paul Drury, Rod Jackson