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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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Published in: | Health services research 2019-06, Vol.54 (3), p.586-591 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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 |
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ISSN: | 0017-9124 1475-6773 |
DOI: | 10.1111/1475-6773.13127 |