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. Author manuscript; available in PMC: 2010 Jan 1.
Published in final edited form as: Med Care. 2009 Jan;47(1):69–72. doi: 10.1097/MLR.0b013e3181808c05

Table 2.

Sensitivity Analysis showing the Sensitivity, Specificity, and Positive Predictive Value of a Claims-Based Algorithm to Correctly Classify Incident Vertebral Compression Fractures, with Variations Based on Re-Classifying the Fractures with Uncertain Acuity


Se*(95% CI)
Sp*(95% CI)
PPV (95% CI)
VCF diagnosis on an E/M claim from a physician, preceded by spinal imaging within the previous 10 days; OR VCF diagnosis on a hospitalization claim, primary diagnosis** 56 (43−68) 69 (58−80) 61 (49−74)
All UTD fractures excluded



As above 51 (42−60) 69 (58−80) 74 (64−83)
All UTD fractures classified as new



As above 56 (43−68) 62 (53−70) 42 (31−52)
All UTD fractures classified as old

Se = Sensitivity; Sp = Specificity; PPV = Positive Predictive Value; CI = Confidence Interval UTD = Unable to Determine, indicating that a VCF was confirmed but could not be classified as new or old (n =58)

*

compared to a case finding procedure that accepted any VCF diagnosis on any type of medical claim

**

same results as shown in the last row of Table 1