Individual and neighborhood characteristics as predictors of depression symptom response.

ABSTRACT:

Objective

Assess whether neighborhood characteristics predict patient-reported outcomes for depression.

Data sources

VA electronic medical record data and U.S. census data.

Study design

Retrospective longitudinal cohort.

Data extraction methods

Neighborhood and individual characteristics of patients (N = 4,269) with a unipolar depressive disorder diagnosis and an initial Patient Health Questionnaire (PHQ-9) score ≥10 were used to predict 50 percent improvement in 4-8-month PHQ-9 scores.

Principal findings

The proportion of a patient's neighborhood living in poverty (OR = 0.98; 95% CI: 0.97-.1.00; P = 0.03) was associated with lower likelihood of depression symptom improvement in addition to whether the patient was black (OR = 0.76; 95% CI:0.61-0.96; P = 

SUBMITTER: Panaite V 

PROVIDER: S-EPMC6505422 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature