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Table 2 Sensitivity (S) and Positive Predictive Values (PPV). (by Algorithm and Region)

From: Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries

  Algorithm 1
Dx1
Algorithm 2
Dx1 to Dx5
Algorithm 3
Dx1&Pr1-Pr5
Algorithm 4
Dx1-Dx5&Pr1-Pr5
Granada     
Cases identified in Registry 231 231 231 231
Cases identified in HDAD 55 113 33 33
Sensitivity (CI95%) 12.9 (8.9-18.0) 14.5 (10.3-19.6) 8.7 (5.4-13.1) 8.7(5.4-13.1)
PPV (CI95%) 54.5 (40.6-68.0) 39.8 (30.7-49.5) 60.6 (42.1-77.1) 60.6 (42.1- 77.1)
Basque Country     
Cases identified in Registry 1150 1150 1150 1150
Cases identified in HDAD 372 632 245 250
Sensitivity (CI95%) 17.8 (15.6-20.1) 24.3 (21.8-26.8) 13.2 (11.3-15.3) 13.5 (11.5-15.6)
PPV (CI95%) 55.1 (49.9-60.2) 44.1 (40.2-48.1) 62.0 (55.6-68.1) 62.0 (55.6-68.0)
Murcia     
Cases identified in Registry 411 411 411 411
Cases identified in HDAD 118 218 56 59
Sensitivity (CI95%) 14.4(11.1-18.1) 23.6 (19.5-28.0) 7.3 (4.9-10.2) 8.0 (5.5-11.0)
PPV (CI95%) 50.0 (40.6-59.3) 44.5 (37.7-51.3) 53.6 (39.7-67.0) 55.9 (42.4-68.8)
Zaragoza     
Cases identified in Registry 494 494 494 494
Cases identified in HDAD 217 378 169 171
Sensitivity (CI95%) 30.4 (26.3-34.4) 45.7 (41.4-50.1) 25.3 (21.5-29.3) 25.7 (22.0-29.8)
PPV (CI95%) 69.1 (64.1-74.2) 59.8 (55.4-64.8) 74.0 (66.6-80.4) 74.3 (67.0-80.6)
  1. S: sensitivity, PPV: Positive Predictive Value; CI95%: Confidence Interval assuming a type I error of 5%
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