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. 2016 Sep 16;7:131–141. doi: 10.2147/SAR.S108302

Table 6.

Significant multiple logistic regression results (P<0.01) for high total costs (75th percentile) 1 year post-OD among patients with one or more ODs (N=2,039)

Variablesa OR 95% CI P-value
Geisinger PCP pre-OD 1.97 1.26–3.08 0.003
Opioid Rx orders 1–2 pre-OD vs none 2.06 1.44–2.97 <0.001
Opioid Rx orders 3–8 pre-OD vs none 3.14 2.12–4.65 <0.001
Opioid Rx orders 9+ pre-OD vs none 4.62 3.04–7.01 <0.001
Charlson chronic disease score 4+ pre-OD 2.57 1.83–3.61 <0.001
Migraine Rx order pre-OD 1.48 1.14–1.92 0.003
Antianxiety Rx order pre-OD 1.44 1.13–1.85 0.004
CVD pre-OD 2.15 1.63–2.86 <0.001

Notes: Area under the ROC curve =0.78; Hosmer–Lemeshow test = P>0.393. Results shown are for significant variables that were retained in the final model with a P-value of <0.01. All patients had one or more ICD-9-coded ODs during the study period.

a

Age (in years) and male sex were also included in the logistic regression model, resulting in age OR =0.99, P=0.023, and male sex OR =0.92, P=0.92, in the final stepwise model.

Abbreviations: CI, confidence interval; CVD, cardiovascular disease; ICD-9, International Classification of Diseases-9; OD, opioid overdose; OR, odds ratio; PCP, primary care physician; ROC, receiver operating characteristic; Rx, prescription.