Social Psychology Commons^™

Improving Depression Screening And Follow-Up Care In Underserved Populations, Alicia D. Hankins

The Eleanor Mann School of Nursing Student Works

Depression is a substantial source of financial, emotional, and physical burdens to patients and their families worldwide. It also disproportionately affects economically disadvantaged populations. To combat the depression crisis, The United States Preventive Services Task Force (USPSTF) published guidelines to boost depression screenings of all patients presenting for healthcare services. A review of literature and the completed needs assessment confirmed low rates of depression screening in the rural primary care sector. This project took place in an outpatient primary care facility in rural Arkansas, where current depression screening tools were not being used. The goal was to increase the percentage …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …