Sociodemographic and geographical variation in prescribing psychotropic drugs to children and young people with common mental disorders and Attention Deficit Hyperactive Disorders in North West London: population-based study

Objectives To estimate the sociodemographic and geographical variation in prescribing selective serotonin reuptake inhibitors (SSRIs) and medications for attention-deficit/hyperactivity disorder (ADHD) to children and young people (CYP) in North West London, UK.Design Cross-sectional population-based study.Setting General practices in North West London, UK, with data for the period 2020–2022 obtained from the Discover Now platform, which covers approximately 95% of the local population.Participants 762 390 CYP aged 5–24 years in the year 2022.Primary and secondary outcome measures Primary outcome: Prescription rates of SSRIs and ADHD medications. Secondary outcomes: Associations between prescription rates and sociodemographic factors, including age, gender, geographical area (local authority), ethnicity and socioeconomic deprivation (measured using the Index of Multiple Deprivation).Results The total sample comprised 762 390 CYP. 2.20% of the sample were prescribed an SSRI (95% CI 2.17% to 2.24%) and 0.50% an ADHD medication (95% CI 0.49% to 0.52%) in years 2020–2022. High deprivation was associated with the highest rates of an SSRI prescription (2.5%). In contrast, low deprivation was associated with the highest rates of an ADHD medication prescription (0.70%). This divergent pattern was evident in some London boroughs and not in others. The relationship between level of area deprivation and prescription rates also differed by borough. Overall, the sociodemographic factors could not explain most of the variation in prescription rates (Pseudo R 2 0.18 for SSRI and 0.06 for an ADHD medication).Conclusions Prescriptions for common mental disorders and ADHD for CYP from North West London varied by sociodemographic characteristics and London borough of residence, potentially exacerbating mental health inequalities. To monitor and address these inequalities, more extensive use of linked electronic health records should be undertaken; for example, data on mental health diagnosis and service utilisation are needed to investigate the relationship between diagnosis and treatment over time.