Medicine and Health Sciences Commons^™

Engaging Patients And Parents To Improve Mental Health Intervention For Youth With Rheumatological Disease., Oluwatunmise A. Fawole, Michelle V. Reed, Julia G. Harris, Aimee Hersh, Martha Rodriguez, Karen Onel, Erica Lawson, Tamar Rubinstein, Kaveh Ardalan, Esi Morgan, Anne Paul, Judy Barlin, R Paola Daly, Mitali Dave, Shannon Malloy, Shari Hume, Suzanne Schrandt, Laura Marrow, Angela Chapson, Donna Napoli, Michael Napoli, Miranda Moyer, Vincent Delgaizo, Ashley Danguecan, Emily Von Scheven, Andrea Knight, Carra Investigators

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Mental health disorders are common in youth with rheumatological disease yet optimal intervention strategies are understudied in this population. We examined patient and parent perspectives on mental health intervention for youth with rheumatological disease.

METHODS: We conducted a mixed methods cross-sectional study, via anonymous online survey, developed by researchers together with patient/parent partners, to quantitatively and qualitatively examine youth experiences with mental health services and resources in North America. Patients ages 14-24 years with juvenile idiopathic arthritis, juvenile dermatomyositis, or systemic lupus erythematous, and parents of patients ages 8-24 with these diseases were eligible (not required to participate in …

Latent Variables Quantifying Neighborhood Characteristics And Their Associations With Poor Mental Health., Katherine L. Forthman, Janna M. Colaizzi, Hung-Wen Yeh, Rayus Kuplicki, Martin P. Paulus

Manuscripts, Articles, Book Chapters and Other Papers

Neighborhood characteristics can have profound impacts on resident mental health, but the wide variability in methodologies used across studies makes it difficult to reach a consensus as to the implications of these impacts. The aim of this study was to simplify the assessment of neighborhood influence on mental health. We used a factor analysis approach to reduce the multi-dimensional assessment of a neighborhood using census tracts and demographic data available from the American Community Survey (ACS). Multivariate quantitative characterization of the neighborhood was derived by performing a factor analysis on the 2011-2015 ACS data. The utility of the latent variables …