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Individual and neighborhood characteristics as predictors of depression symptom response

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...

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Bibliographic Details
Published in:Health services research 2019-06, Vol.54 (3), p.586-591
Main Authors: Panaite, Vanessa, Bowersox, Nicholas W., Zivin, Kara, Ganoczy, Dara, Kim, Hyungjin Myra, Pfeiffer, Paul N.
Format: Article
Language:English
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Summary: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 
ISSN:0017-9124
1475-6773
DOI:10.1111/1475-6773.13127