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. 2017 Feb 1;31(2):210–215. doi: 10.1089/end.2016.0688

Table 2.

Predictors a of Minimally Invasive Pyeloplasty Use: Results of a Multilevel, Multinomial, Logistic Regression Analysis

Characteristics Minimally invasive pyeloplasty vs open pyeloplasty Minimally invasive pyeloplasty vs endopyelotomy
Age 0.99 (0.98–1.01) 0.96 (0.95–0.97)
Gender
 Female 1 1
 Male 0.75 (0.56–0.99) 0.86 (0.68–1.10)
Comorbidity
 0 1 1
 1 or more 0.87 (0.59–1.29) 1.22 (0.86–1.72)
Benefit plan typeb
 HMO 1 1
 PPO 1.24 (0.82–1.88) 1.38 (0.96–1.98)
 Other 0.90 (0.55–1.47) 1.02 (0.67–1.55)
Employment classification
 Nonsalaried 1 1
 Salaried 1.81 (1.08–3.04) 1.56 (0.99–2.44)
 Unknown 1.30 (0.85–1.99) 1.08 (0.75–1.57)
Employment status
 Nonfull-time 1 1
 Full-time 1.27 (0.88–1.83) 1.01 (0.74–1.38)
Region of residence
 Northeast 1 1
 North Central 1.08 (0.64–1.84) 0.96 (0.59–1.57)
 South 0.91 (0.55–1.48) 0.52 (0.33–0.81)
 West 0.84 (0.46–1.54) 0.57 (0.33–0.98)
 Unknown 0.62 (0.13–3.01) 0.62 (0.11–3.37)
Patient MSA 1.19 (0.80–1.76) 1.52 (1.08–2.13)
Provider MSA 1.59 (0.93–2.71) 2.06 (1.29–3.30)
Treatment year 1.38 (1.29–1.49) 1.21 (1.13–1.29)
a

The effect of each predictor was adjusted for all other predictors in the model.

b

Other includes comprehensive, exclusive provider organization, point of service, point of service with capitation, consumer directed health plan, and missing.

Significant values are denoted in bold.