Table 3

Study characteristics and test measures of studies for hospital discharge 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
Canada1995–2000So et al24Medical chartHospital discharge dataDiabetes with complicationsICD-9 250.1-.99380 (51.91 to 95.67)98.3 95.15 to 99.65)80 (51.91 to 95.67)98.3 (95.15 to 99.65) 
2001–2004 Diabetes with complicationsICD-10 E10.0-.8, E11.0-.8, E12.0-.8, E13.0-.8, E14.0-.866.7 (38.38 to 88.18)98.9 (96.00 to 99.86)83.3 (51.59 to 97.91)97.2 (93.67 to 99.10)
Canada2003Quan et al26Medical chartHospital discharge dataDiabetes with chronic complicationsICD 9 250.4-.7400863.698.962.5990.62
Diabetes with chronic complicationsICD 10 E10.2-.5, E10.7, E11.2-.5, E11.7, E12.2-.5, E12.7, E13.2-.5, E13.7, E14.2-.5, E14.759.19963.198.90.6
Diabetes without chronic complicationsICD 9 250.0-.3, 250.8, .977.798.486.5970.8
Diabetes without chronic complicationsE10.0, .1, .6, .8, .9, E110, .1, .6, E11.8, .9, E12.0, .1, .6, .8, .9, E13.0, .1, .6, .8, .9, E14.0, .1, .6, .8, .975.898.788.596.80.79
Western Australia1998Nedkoff et al28Medical chartHospital discharge dataLook back period: Index admissionICD 9/ICD-9 CM 250168591.198.793.397.40.912
1 year91.698.192.897.60.902
2 years92.197.992.197.80.903
5 years92.497.791.997.80.9
10 years92.697.691.497.80.9
15 years92.697.597.80.897
2002–2004Look back period: Index admissionICD 10-AM E10-E14225881.598.29690.80.825
1 year86.397.394.4930.853
2 years87.396.793.593.40.854
5 years89.395.992.294.40.859
10 years89.695.691.694.50.856
15 years89.695.591.594.50.855
Canada1989–1990Robinson et al22Self-reported surveyHospital discharge data and physician claims1, 2 or 3 physician claim or 1 hospitalisation over 3 yearsICD 9 CM2651729876980.72
(0.67–0.77)
  • Superior performance characteristics within studies have been highlighted in bold.

  • 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.

  • 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.