Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities

Abstract

ObjectiveTo assess the rates and feasibility of assessing comorbid mental health disorders and referral rates in low-income urban and rural perinatal patients. MethodsIn two urban and one rural clinic serving primarily low-income perinatal patients of color, a computerized adaptive diagnostic tool CAT-MH® was implemented to assess major depressive disorder (MDD), general anxiety disorder (GAD), suicidality (SS), substance use disorder (SUD), and post-traumatic stress disorder (PTSD) at the first obstetric visit and/or 8 weeks postpartum. ResultsOf a total of 717 screens, 10.7% (n = 77 unique patients) were positive for one or more disorders (6.1% one, 2.5% two, 2.1% three or more). MDD was the most common disorder (9.6%) and was most commonly comorbid with GAD (33% of MDD cases), SUD (23%), or PTSD (23%). For patients with a positive screen, referral to treatment was 35.1% overall, with higher rates in urban (51.6%) versus rural (23.9%) clinics (p = 0.03). ConclusionMental health comorbidities are common in low-income urban and rural populations, but referral rates are low. Promoting mental health in these populations requires comprehensive screening and treatment approaches for psychiatric comorbidities and dedication to increase the availability of mental health prevention and treatment options.