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J Am Med Inform Assoc 17:78-84 doi:10.1197/jamia.M3285
  • Research paper

The impact of computerized provider order entry on medication errors in a multispecialty group practice

Table 6

Impact of the computerized provider order entry (CPOE) system on medication errors, description of multivariate model

Coefficient (OR) adjusted1 2 95% CI for coefficient (95% CI for OR)
Predictor of interest
 e-prescribing (eRx) −1.19 (0.30) −1.48 to −0.91*** (0.23 to 0.40)
Main effects
 Age≥65 years 0.35 (1.42) 0.08 to 0.64** (1.08 to 1.90)
Female −0.14 (0.87) −0.30 to 0.03 (0.74 to 1.03)
Therapeutic drug class
 Antibiotics −0.61 (0.54) −0.88 to −0.34*** (0.41 to 0.71)
 Antidepressants −0.46 (0.63) −0.97 to 0.06 (0.38 to 1.06)
 CNS agents 0.09 (1.09) −0.43 to 0.60 (0.65 to 1.82)
 Hormonal agents −0.46 (0.63) −0.89 to −0.03* (0.41 to 0.97)
 Schedule II–V agents 0.79 (2.20) 0.47 to 1.10*** (1.60 to 3.00)
Clinic site A −0.37 (0.69) −0.67 to −0.06* (0.51 to 0.94)
Clinic site B −0.06 (0.94) −0.50 to 0.33 (0.61 to 1.39)
Clinic site C 0.13 (1.14) −0.26 to 0.52 (0.77 to 1.68)
Interaction terms
 CPOE and CNS agents 0.55 (1.73) −0.15 to 1.25 (0.86 to 3.49)
 CPOE and hormonal agents 0.69 (1.99) 0.09 to 1.29* (1.09 to 3.63)
 CPOE and Schedule II–V agents 0.52 (1.68) 0.08 to 0.96* (1.08 to 2.61)
 CPOE and clinic site C −0.57 (0.57) −1.00 to −0.14** (0.37 to 0.87)
  • * p<0.05

  • ** p<0.01

  • *** p<0.001.

  • Generalized estimating equations with independent correlation structure; clustering at the prescriber level; prescription weighting schema applied; Adjusted model contains the following variables: Main effects: age (< ≥65), gender, antibiotics, antidepressants, hormones, Schedule II–V agents (referent is all other therapeutic classes), clinic site C (referent is clinic site A); Interaction terms: eRx×hormones, eRx×Schedule II–V agents, eRx×site C.

  • CNS, central nervous system.

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