• Cns Spectrums · Jan 2021

    The influence of prescriber and patient gender on the prescription of benzodiazepines: results from the Florida Medicaid Dataset.

    • Leanna M W Lui, Yena Lee, Orly Lipsitz, Nelson B Rodrigues, Hartej Gill, Jifeng Ma, Linas Wilkialis, Jocelyn K Tamura, Ashley Siegel, David Chen-Li, Joshua D Rosenblat, Rodrigo B Mansur, Marie A McPherson, and Roger S McIntyre.
    • Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada.
    • Cns Spectrums. 2021 Jan 19: 1-5.

    BackgroundBenzodiazepine (BZD) prescription rates have increased over the past decade in the United States. Available literature indicates that sociodemographic factors may influence diagnostic patterns and/or prescription behaviour. Herein, the aim of this study is to determine whether the gender of the prescriber and/or patient influences BZD prescription.MethodsCross-sectional study using data from the Florida Medicaid Managed Medical Assistance Program from January 1, 2018 to December 31, 2018. Eligible recipients ages 18 to 64, inclusive, enrolled in the Florida Medicaid plan for at least 1 day, and were dually eligible. Recipients either had a serious mental illness (SMI), or non-SMI and anxiety.ResultsTotal 125 463 cases were identified (i.e., received BZD or non-BZD prescription). Main effect of patient and prescriber gender was significant F(1, 125 459) = 0.105, P = 0 .745, partial η2 < 0.001. Relative risk (RR) of male prescribers prescribing a BZD compared to female prescribers was 1.540, 95% confidence intervals (CI) [1.513, 1.567], whereas the RR of male patients being prescribed a BZD compared to female patients was 1.16, 95% CI [1.14, 1.18]. Main effects of patient and prescriber gender were statistically significant F(1, 125 459) = 188.232, P < 0.001, partial η2 = 0.001 and F(1, 125 459) = 349.704, P < 0.001, partial η2 = 0.013, respectively.ConclusionsMale prescribers are more likely to prescribe BZDs, and male patients are more likely to receive BZDs. Further studies are required to characterize factors that influence this gender-by-gender interaction.

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