Table 2

Study characteristics and test measures of studies for physician claims data

CountryStudy yearsAuthor(reference)ReferenceType of administrative dataDiabetes case definitionICD codes usedStudy, NSensitivity % (95% CI)Specificity % (95% CI)PPV % (95% CI)NPV % (95% CI)κ
Canada1995–1996Wilchesky et al23Medical chartPhysician claimsUsing only diagnoses recorded in the claims of study physiciansICD-9 250.0-.9275251.78 (49.9 to 53.6)98.41
 (98.2 to 98.6)
   
Using diagnostic codes recorded on claims made by all physicians who provided medical services to patients in the year prior to the start of the studyICD-9 250.0-.964.43 (62.6 to 66.2)96.82 (96.5 to 97.1)
USA1997–2001Crane et al14Clinician documentation in EMR progress notesPhysician claimsAt least one clinician-coded diagnosesICD 9 250.0, .1, .2, .3144193 (86 to 100)99 (99 to 100)91 (83 to 99)
USA1998–1999Borzecki et al13Medical chartsPhysician claimsAt least one diagnosis in National Department of Veterans Affairs (VA) database, Outpatient Clinic file over 1 yearICD 9 250.x117697960.92
At least two diagnoses in National Department of Veterans Affairs (VA) database, Outpatient Clinic file over 1 yearICD 9 250.x0.91
At least one diagnosis in National Department of Veterans Affairs (VA) database, Outpatient Clinic file over 2 yearsICD 9 250.x0.89
At least two diagnoses in National Department of Veterans Affairs (VA) database, Outpatient Clinic file over 2 yearsICD 9 250.x0.93
USA1992–1995Hebert et al15Self-reported surveyPhysician claimsOne or more diagnoses of diabetes in any claim file over 1-year periodICD 9-CM 250.00-.93, 357.2, 362.0-362.02, 366.41 71.696.679  
One or more diagnoses of diabetes in any claim file over 2-year periodICD 9-CM 250.00-.93, 357.2, 362.0–0.02, 366.4179.194.371.4
USA1993–1994O’Connor et al20Telephone surveyPhysician claimsTwo or more ICD-9 diagnostic codesICD 9 250.x197692.22*98.62*76.15*99.63*
USA1996–1998Singh19Self-reported surveyPhysician claimsVeterans Affairs databasesICD 9 25076 (75 to 76)98 (98 to 98)91 (91 to 91)95 (94 to 95)0.79 (0.79 to 0.80)
USA1997Ngo et al16Self-reported surveyPhysician claimsOregon Medicaid Claims Data, any claim ≤24 months before interview with a diabetes diagnosis codeICD 9 250, 357.2, 362, 366.4121 56483.997.981.998.20.81 (0.77 to 0.85)
Oregon Medicaid Claims Data, any claim ≤12 months before interview with a diabetes diagnosis codeICD 9 250, 357.2, 362, 366.4188.797.476.498.90.8 (0.76 to 0.85)
USA1997–2000Miller et al18Self-reported surveyPhysician claims (Medicare)Any diagnostic codeICD 9 250, 357.2, 362.0, 366.412 924 14878.395.785.3  
Any outpatient diagnostic codeICD 9 250, 357.2, 362.0, 366.4177.595.985.8
≥2 any diagnostic codeICD 9 250, 357.2, 362.0, 366.4173.198.393.4
≥2 outpatient codesICD 9 250, 357.2, 362.0, 366.4172.298.493.7
≥3 any diagnostic codeICD 9 250, 357.2, 362.0, 366.416998.495.2
≥3 outpatient codesICD 9 250, 357.2, 362.0, 366.416898.995.4
≥4 any diagnostic codeICD 9 250, 357.2, 362.0, 366.416599.196
≥4 outpatient codesICD 9 250, 357.2, 362.0, 366.4163.899.296.2
  • Superior performance characteristics within studies have been highlighted in bold.

  • *Sensitivity, specificity, PPV and NPV are all hand-calculated:

  • sensitivity identifies the proportion of patients who truly do have the disease/condition;

  • specificity identifies the proportion of patients who truly do not have the disease/condition;

  • PPV is the probability that participants with a positive screening test truly have the disease/condition;

  • NPV is the probability that participants with a negative screening test truly do not have the disease/condition;

  • κ is an inter-rater agreement statistic to evaluate the agreement between two classifications on ordinal or nominal scales.

  • EMR, electronic medical record; ICD 10-AM, International Classification of Diseases, Tenth Revision, Australian Modification; ICD, International Classification of Diseases; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; NPV, negative predictive value; PPV, positive predictive value.