TY - JOUR T1 - GPs’ drug treatment for depression by patients’ educational level: registry-based study JF - BJGP Open JO - BJGP Open DO - 10.3399/BJGPO-2020-0122 VL - 5 IS - 2 SP - BJGPO-2020-0122 AU - Anneli Borge Hansen AU - Valborg Baste AU - Oystein Hetlevik AU - Inger Haukenes AU - Tone Smith-Sivertsen AU - Sabine Ruths Y1 - 2021/04/01 UR - http://bjgpopen.org/content/5/2/BJGPO-2020-0122.abstract N2 - Background Antidepressant drugs are often prescribed in general practice. Evidence is conflicting on how patient education influences antidepressant treatment.Aim To investigate the association between educational attainment and drug treatment in adult patients with a new depression diagnosis, and to what extent sex and age influence the association.Design & setting A nationwide registry-based cohort study was undertaken in Norway from 2014–2016.Method The study comprised all residents of Norway born before 1996 and alive in 2015. Information was obtained on all new depression diagnoses in general practice in 2015 (primary care database) and data on all dispensed depression medication (Norwegian Prescription Database [NorPD]) 12 months after the date of diagnosis. Independent variables were education, sex, and age. Associations with drug treatment were estimated using a Cox proportional hazard model and performed separately for sex.Results Out of 49 967 patients with new depression (61.6% women), 15 678 were dispensed drugs (30.4% women, 33.0% men). Highly educated women were less likely to receive medication (hazard ratio [HR] = 0.93; 95% confidence interval [CI] = 0.88 to 0.98) than women with low education. No such differences appeared among men. Women aged 20–29 years were more likely to be treated with drugs than those aged 30–59 years, and women aged ≥70 years were more likely to receive drugs (HR = 1.65; 95% CI = 1.54 to 1.77) than those aged 20–29 years. The pattern was similar but less pronounced for men.Conclusion Educational differences in antidepressant therapy among women may reflect different treatment approaches that clinicians should be aware of to avoid unintended variation. Reasons for this variation and consequences for quality of treatment should be explored. ER -