Skip to main content
. Author manuscript; available in PMC: 2024 Mar 20.
Published in final edited form as: Pain Manag Nurs. 2023 May 3;24(4):393–399. doi: 10.1016/j.pmn.2023.03.012

Table 3.

Likelihood of Having a Numeric Pain Tool Used When Assessing Pain Among 51,602 Patient Hospitalizations (Results from the Multivariate Model).

Adjusted Odds Ratio, 95% CI P value

RACE/ETHNICITY
American Indian or Alaska Native 1.21 (0.99–1.49) .068
Asian 0.74 (0.70–0.78) <.001
Black or African American 0.98 (0.90–1.05) .545
Latino 0.93 (0.87–1.00) .039
Multi-Race/Ethnicity 0.84 (0.75–0.94) .002
Native Hawaiian or Other Pacific Islander 0.88 (0.74–1.06) .177
Other/Unknown 0.81 (0.73–0.91) <.001
White ref -
GENDER
Female ref -
Male 0.98 (0.94–1.02) .253
Nonbinary 2.28 (1.54–3.38) <.001
Unknown 1.32 (0.23–7.70) .757
LIMITED ENGLISH PROFICIENCY STATUS
Yes 0.61 (0.58–0.65) <.001
No ref -
OTHER COVARIATES
Time (by year of study) 0.82 (0.81–0.83) <.001
Age (year) 0.98 (0.98–0.98) <.001
Cancer Pain 1.38 (1.21–1.58) <.001
Comfort Care 0.55 (0.50–0.60) <.001
Opioid on Admission 1.62 (1.56–1.69) <.001
Length of Stay (day) 1.00 (1.00–1.00) <.001
Comorbidity Index (Elixhauser Score) 0.99 (0.99–0.99) <.001