ArticlePsychiatric services (Washington, D.C.)2014
Employment status of people with mental illness: national survey data from 2009 and 2010.
Article in Psychiatric services (Washington, D.C.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.
- Trial-Based Economic Evaluations of Supported Employment for Adults with Severe Mental Illness: A Systematic Review.Administration and policy in mental health · 2022Pooled it
- Age and Improved Attention Predict Work Attainment in Combined Compensatory Cognitive Training and Supported Employment for People With Severe Mental Illness.The Journal of nervous and mental disease · 2016Trial
- Job Offers to Individuals With Severe Mental Illness After Participation in Virtual Reality Job Interview Training.Psychiatric services (Washington, D.C.) · 2015Trial
- The State of Mobile Crisis Response: a Scoping Review of Construct and Challenges.Community mental health journal · 2026Article
- Integrating homeless persons with mental health conditions back into low resource communities: A cross-sectional study.PLOS mental health · 2026Article
- Money and mental health: a scoping review of financial variables, data sources, and analytical methods.Frontiers in public health · 2026Article
- A Global meta-analysis of digital divide in psychiatric population from 2004 to 2023.NPJ digital medicine · 2025Article
- Loneliness in schizophrenia: Just loneliness.Annals of the New York Academy of Sciences · 2025Review
- Economic costs associated with insomnia in adults with subthreshold depression or major depressive disorder.BJPsych open · 2025Article
- Comparative Analysis of Independent Reviewer-Rated and Self-Rated Fidelity Scores in Individual Placement and Support Programs: Repeated Cross-Sectional Surveys.Administration and policy in mental health · 2025Article
- Burden of mental disorders and risk factors in the Western Pacific region from 1990 to 2021.World journal of psychiatry · 2025Article
- Barriers and facilitators of employment in severe mental illness: an umbrella review.Frontiers in rehabilitation sciences · 2025Review
- Barriers and facilitators to social inclusion among people with severe mental illness: A qualitative study.PLOS mental health · 2025Article
- Article
- Home, school, and the hidden cost of parental mental health.Frontiers in psychology · 2025Article
- Caregiving burden, depression, and anxiety in informal caregivers of people with mental illness in China: a cross-sectional survey.BMC psychiatry · 2024Article
- Recent Advances in Prevention and Recovery in People with Schizophrenia and Related Disorders.Behavioral sciences (Basel, Switzerland) · 2024Article
- A Web-Based Tool to Assess Social Inclusion and Support Care Planning in Mental Health Supported Accommodation: Development and Preliminary Test Study.Interactive journal of medical research · 2024Article
- "Getting people access to services is also getting them access to a phone": Clarifying digital divide dynamics and their consequences in Community Mental Health Care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Using online videos to target defeatist beliefs: Changing I can't to I can with a veteran living with serious mental illness.Psychiatry research case reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe aim of this study was to describe employment according to mental illness severity in the United States during 2009 and 2010.
methodsThe sample included all working-age participants (ages 18-64) from the 2009 and 2010 National Survey on Drug Use and Health (N=77,326). Two well-established scales of mental health distinguished participants with none, mild, moderate, and serious mental illness. Analyses compared employment rate and income by mental illness severity. Employment status was estimated with logistic regression models that controlled for demographic characteristics and substance use disorders. In secondary analyses the relationship between mental illness and employment was assessed for variation by age and education status.
resultsEmployment rates decreased with increasing mental illness severity (no mental illness, 75.9% employment; mild, 68.8%; moderate, 62.7%; and serious, 54.5%, p<.001). Over a third of people with serious mental illness, 38.5%, had incomes <$10,000 (compared with 23.1% of people with no mental illness, p<.001). The gap in adjusted employment rates comparing persons with serious versus no mental illness was 1% among people 18-25 years old versus 21% among people 50-64 (p<.001).
conclusionsMore severe mental illness was associated with lower employment rates in 2009 and 2010. People with serious mental illness are less likely than people with no, mild, or moderate mental illness to be employed after age 49.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.