Individual and neighborhood characteristics as predictors of depression symptom response.
Ontology highlight
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 = 0.02) had PTSD (OR = 0.59; 95% CI:0.50-0.69; P < 0.001) or had any service-connected disability (OR = 0.73; 95% CI:0.61-0.87; P < 0.001).Conclusions
Neighborhood poverty should be considered along with patient characteristics when determining likelihood of depression improvement.
SUBMITTER: Panaite V
PROVIDER: S-EPMC6505422 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Publications
Individual and neighborhood characteristics as predictors of depression symptom response.
Panaite Vanessa V Bowersox Nicholas W NW Zivin Kara K Ganoczy Dara D Kim Hyungjin Myra HM Pfeiffer Paul N PN
Health services research 20190304 3
<h4>Objective</h4>Assess whether neighborhood characteristics predict patient-reported outcomes for depression.<h4>Data sources</h4>VA electronic medical record data and U.S. census data.<h4>Study design</h4>Retrospective longitudinal cohort.<h4>Data extraction methods</h4>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 ...[more]
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