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. 2018 Jul 18;20(8):1519–1527. doi: 10.1093/pm/pny137

Table 1.

Patient characteristics

Characteristic Total Cohort (N = 1,097)
Age, mean ± SD, y 51.80 ± 11.34
Race/ethnicity, No. (%)*
 White 166 (15.1)
 Black 351 (32.0)
 Hispanic 357 (32.5)
 Other 223 (20.3)
Female, No. (%) 606 (55.2)
Baseline dose, median (IQR), MME 90.0 (46.9–197.5)
Concurrent benzodiazepines, No. (%) 211 (19.2)
Medical comorbidities, No. (%)
 0–1 216 (19.7)
 2–3 369 (33.6)
 4+ 512 (46.7)
English speaking, No. (%) 940 (85.7)
Year of cohort entry, median (IQR) 2009 (2008–2011)
Tobacco use disorder, No. (%) 376 (34.3)
Alcohol use disorder, No. (%) 100 (9.1)
Nonopioid drug use disorder, No. (%) 289 (26.3)
Opioid abuse, No. (%) 24 (2.2)
Mental health disorder, No. (%) 653 (59.5)
Pain diagnosis category, No. (%)§
 Extremity 853 (77.8)
 Neck 146 (13.3)
 Headache 296 (27.0)
 Back 834 (76.0)
 Neuropathic 415 (37.8)
 Abdomen 386 (35.2)
 Chest 287 (26.2)

IQR = interquartile range; MME = morphine-milligram equivalents.

*

Mutually exclusive categories based on separate self-identified race and ethnicity variables.

Calculated using modified Elixhauser category diagnosis coding algorithm developed by Quan et al. [40].

Based on provider ICD-9 coding, including codes for anxiety, depression, bipolar disorder, post-traumatic stress disorder, or schizophrenia.

§

Based on provider ICD-9 coding, categorizations based on the approach of Larochelle et al. [41]. Patients may have multiple pain diagnoses.