Brennan, RoxAnne

Introduction/Objectives: We aimed to investigate the effect of family structure on depression program outcomes for adolescents enrolled in a depression-focused, primary care-based collaborative care program. Methods: This was a retrospective study of primary care patients ages 12 to 18 years seen at a Midwestern academic center with data obtained by medical record review. We used logistic regression models to assess the effect of family structure on program graduation and achievement of a single Patient Health Questionnaire 9–Modified for Adolescents (PHQ-9M) score <5 at any time while enrolled. Results: Adolescents were divided into 2 groups, Both Parents in Household (n = 179) and Parents Not Together (n = 161). The Both Parents in Household group had higher rates of graduation (38.0% vs 23.6%, P = .005) and achieving single PHQ-9M scores <5 (64.1% vs 46.2%, P = .002) than the Parents Not Together group. Discussion: Youth residing with both parents had higher rates of successful outcomes in a depression-focused collaborative care program.

Abstract Background: To describe the process of developing an evolving database for Mayo Clinic primary care patients who screen positive for depression. The databases will support a broad use of these data for current and future quality improvement and research efforts. The description of their development will serve as an example for other institutions attempting to create similar data resources. Methods: The adult database (patients aged ³ 18) has data from 2007 and the adolescent database (patients aged 12 to < 18) from 2011. To be included, a patient had to be eligible for collaborative care model as a primary care patient with at least moderate symptoms of unipolar depression. The patient did not have to be enrolled in collaborative care model. The main domains of measurement are demographics, social determinants of health, mental health and substance abuse conditions, other comorbidities, interaction with collaborative care model, and questionnaire results. The data is being continuously updated as new data becomes available. Results: The adult database currently includes 117,619 unique patients with a mean age of 44.7 years, and is 66.4% female, and 88.1% non-Hispanic white. The adolescent database includes 14,684 unique patients with a mean age of 14.8 years, is 66.7% female, and 79.7% non-Hispanic white. Conclusions: These large, longitudinal, and evolving databases are a key step towards developing a learning environment to improve quality of care and conduct population-based research for patients with depression in primary care settings.