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. Author manuscript; available in PMC: 2009 Aug 18.
Published in final edited form as: Qual Saf Health Care. 2009 Feb;18(1):32–36. doi: 10.1136/qshc.2007.025957

Table 3.

Predictive value of co-occurrence of a medical incident commonly captured by automated data systems and a suspect prescribing discrepancy.

Occurrences ADEs Positive predictive value
Incident/example of suspect discrepancy (N)* (N) (N/N) (95% CI)
Pain**/analgesic discrepancy 59 22 .37 (.25–.51)
High blood pressure**/antihypertensive discrepancy 32 8 .33 (.16–.55)
Renal insufficiency**/angiotensin blocker discrepancy 14 4 .29 (.10–.58)
Low blood pressure**/antihypertensive discrepancy 34 6 .18 (.07–.35)
Fever**/antibiotic discrepancy 28 2 .07 (.01–.25)
*

Episode types are included that had at least 10 occurrences.

**

Pain: new or worse pain; fever: temperature > 100.5 F (38 C); high blood pressure: new systolic blood pressure > 185, or diastolic blood pressure > 105, or an increase in systolic or diastolic blood pressure of 30mm; low blood pressure: new systolic blood pressure < 95, or a drop in systolic blood pressure of 30mm; renal insufficiency: new creatinine increase >0.5 mg/dl.