Prescription Opioids and Patient Sex: A National Cross-Sectional Study

Background:Surveillance data suggest that women are prescribed more opioid analgesics than men. It remains unclear whether these sex-related differences solely reflect the associations with other characteristics more prevalent among women (e.g., adverse socioeconomic and health status-related factors, and more contact with the health system). Methods:We examined the factors associated with opioid prescriptions and sex in a large, nationally representative U.S. sample. This observational analysis of the 2005-2015 Medical Expenditure Panel Survey included all adults aged >= 18 years with prescription and health service utilization data (n = 106,233). Negative binomial regressions examined associations between sex and number of opioid prescriptions. Analyses sequentially adjusted for sociodemographics, health status-related factors, and nonnarcotic prescriptions. Results:Overall, 9,387 women (16.2%) and 5,679 men (11.7%) received opioid prescriptions (female/male incidence rate ratio [IRR] = 1.35 (95% confidence interval [CI] = 1.24-1.44). The IRR was lower with adjustment for sociodemographics (1.23 [95% CI = 1.14-1.31]) and additional adjustment for health status-related factors (1.12 [95% CI = 1.05-1.19]). With further adjustment for number of nonnarcotic prescriptions, the IRR was not significant (0.97 [95% CI = 0.91-1.03). Conclusions:In this nationally representative sample, women received higher rates of prescription opioids, consistent with prior surveillance data. However, this relationship was attenuated with adjustment for sociodemographic and health status-related factors, and nonsignificant with adjustment for higher rates of nonnarcotic prescriptions among women. Higher opioid prescription rates in women may simply be reflective of these other factors, and the overall greater use of health care among women.

Automated summary

Surveillance data indicates that women are more commonly prescribed opioid analgesics than men, but this difference may be attributed to other factors such as sociodemographics and health status-related factors. Adjusting for nonnarcotic prescriptions reduced the significance of this relationship, suggesting that higher opioid prescription rates in women may be influenced by their overall greater use of health care.