Skip to main content
. 2018 Mar 22;8(3):e019003. doi: 10.1136/bmjopen-2017-019003

Table 3.

Results of the univariable and multivariable logistic regression analyses for the association between age, sex, multimorbidity and polypharmacy with potential prescribing omissions

Explanatory variable Univariable model P value Multivariable model* P value
OR (95% CI) OR (95% CI)
Age (years) 1.04 (1.01 to 1.08) <0.01 1.04 (1.00 to 1.07) 0.05
Females (vs males) 1.41 (0.93 to 2.14) 0.11 1.63 (1.04 to 2.57) 0.04
Multimorbidity† 3.04 (1.99 to 4.65) <0.01 4.01 (2.43 to 6.63) <0.01
Polypharmacy‡ 1.30 (0.86 to 1.96) 0.21 0.69 (0.42 to 1.14) 0.144

*Adjusted for age, sex, multimorbidity, polypharmacy and country.

†Multimorbidity: defined as the co-occurrence of three or more chronic conditions.

‡Polypharmacy: defined as five or more regular medicines.