ArticlePsychiatric services (Washington, D.C.)2020
Neighborhood Predictors of Outpatient Mental Health Visits Among Persons With Comorbid Medical and Serious Mental Illnesses.
Article in Psychiatric services (Washington, D.C.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Demographic Predictors of Outpatient Mental Health Service Utilization in the United States.Cureus · 2025Article
- Machine Learning and Interpretability Study for Predicting 30-Day Unplanned Readmission Risk of Schizophrenia: A Retrospective Study.Neuropsychiatric disease and treatment · 2025Article
- The associations between area-level residential instability and gray matter volumes from the North American Prodrome Longitudinal Study (NAPLS) consortium.Schizophrenia research · 2022Article
- Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium.Schizophrenia research · 2021Article
- Community socioeconomic disadvantage drives type of 30-day medical-surgical revisits among patients with serious mental illness.BMC health services research · 2021Article
- Latent Variables Quantifying Neighborhood Characteristics and Their Associations with Poor Mental Health.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveIndividuals with serious mental illnesses are at risk of receiving inadequate outpatient mental health services, increasing the likelihood of medication nonadherence, readmission, and self-harm. The purpose of this study was to identify individual- and neighborhood-level factors associated with outpatient mental health visits.
methodsThis study included 418 participants from two randomized trials of patients with comorbid medical conditions and serious mental illnesses across two study sites between 2011 and 2017. On the basis of individual addresses, data were collected about participants' distance to the nearest mental health facility and 13 neighborhood characteristics from the American Community Survey. Three neighborhood-level factors were derived from factor analysis. Poisson regression was used to assess associations between individual- and neighborhood-level characteristics and the number of visits to mental health providers. Known individual-level risk factors for outpatient follow-up were mutually adjusted in a model with neighborhood covariates added.
resultsMale gender, older age, unemployment, and lower education level were associated with less outpatient mental health service utilization. Neighborhood-level residential mobility, defined as the combination of percentage of residents living in a different house in the past year and percentage of non-owner-occupied housing, was significantly associated with fewer mental health service visits even after controlling for other neighborhood- and individual-level factors.
conclusionsAmong individuals with comorbid medical conditions and serious mental illnesses, living in neighborhoods with higher residential mobility was associated with fewer visits to outpatient mental health providers. This finding suggests the importance of recognizing social conditions that may shape clinical interactions.
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Registered trials
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