Modeling Pure Risk Premium for Mental Health Insurance in India: An Actuarial Approach

Mental health conditions impose a substantial economic burden in India, yet evidence on treatment costs and insurance pricing-particularly for outpatient psychiatric care-remains limited. This cross-sectional study estimates provider-reported outpatient treatment costs for common and severe mental illnesses and derives indicative insurance premiums using a prevalence-based actuarial approach. Primary data were collected through structured interviews with 100 mental health professionals, including psychiatrists (n = 47), psychologists (n = 28), and counselors (n = 25), practicing in private outpatient clinics across four major referral hubs-Kolkata, New Delhi, Bangalore, and Pune. While 77% of clinics were urban and 23% semi-urban, providers served patients from urban, semi-urban, and rural areas. From the provider perspective, the estimated annual treatment cost for common mental illnesses such as depression and anxiety were INR 57,571, with psychological and pharmacological interventions accounting for 80.5% of out-of-pocket expenditure. For severe mental illnesses, including schizophrenia and bipolar disorder, the annual cost was higher at INR 77,237, largely driven by counseling, psychotherapy, and medication costs (85.4%). Based on prevalence-adjusted costing, pure risk premiums were estimated at INR 1,900 annually for depression and anxiety, INR 463 for bipolar disorder, and INR 232 for schizophrenia. Applying premium loadings of 40–90% to account for administrative costs and uncertainty yielded indicative insurance premiums aligned with early-stage mental health coverage markets. Although the estimates assume full treatment-seeking behavior and may overstate realized claims, they provide a pragmatic economic basis for mental health insurance pricing and policy planning in India.