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. Author manuscript; available in PMC: 2010 Sep 1.
Published in final edited form as: Drug Alcohol Depend. 2009 May 26;104(1-2):34–42. doi: 10.1016/j.drugalcdep.2009.03.021

Table 3.

Independent associations between automated and interview data and most likely patient class using multivariate multinomial stepwise regression

Classes Compared Addict. Behaviors v Typical Pain Dysfunction v Typical Addict. Behaviors v Pain Dysfunction

Reference Group Typical Pain dysfunction

O.R. (p-value) O.R. (p-value) O.R. (p-value)
Automated Data Only
Avg prescribed daily dose opioids(log10) * 3.53 (<.001) 6.79 (<.001) 0.54 (0.080)
Age 0.97 (0.006) 0.99 (0.544) 0.98 (0.238)
Male 1.95 (0.010) 1.18 (0.574) 1.60 (0.238)
Mood disorder visit past year 1.53 (0.118) 0.57 (0.174) 2.67 (0.031)
Non-opioid drug problem diagnosis 1.21 (0.660) 2.77 (0.041) 0.44 (0.157)
Survey Data Only
Sedative potential problem 3.39 (0.003) 2.43 (0.123) 1.40 (0.596)
Believe opiates work best for pain 1.34 (0.239) 2.76 (0.009) 0.49 (0.106)
Years since first chronic pain >10 0.64 (0.067) 1.01 (0.969) 0.63 (0.241)
Automated and Survey Data Combined
Avg prescribed daily dose opioids(log10) * 3.67 (<.001) 6.18 (<.001) 0.59 (0.138)
Sedative potential problem 3.23 (0.009) 2.82 (0.095) 1.15 (0.831)
Age 0.97 (0.009) 0.98 (0.353) 0.98 (0.396)
Male 1.85 (0.021) 1.30 (0.458) 1.42 (0.392)
Mood disorder visit past year 1.47 (0.168) 0.50 (0.104) 2.93 (0.022)
Non-opioid drug problem diagnoses 1.12 (0.807) 2.75 (0.044) 0.41 (0.126)
Alcohol potential problem 1.98 (0.117) 0.48 (0.489) 4.11 (0.194)
*

log10(average prescribed daily dose of opioid medications in mg) past year