Evidence map›Paper›PMID 35804314›Full record

ArticleBMC psychiatry2022

Unemployment, homelessness, and other societal outcomes in patients with schizophrenia: a real-world retrospective cohort study of the United States Veterans Health Administration database : Societal burden of schizophrenia among US veterans.

Dee Lin, Hyunchung Kim, Keiko Wada, Maya Aboumrad, Ethan Powell, Gabrielle Zwain, Carmela Benson, Aimee M Near

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 44 citations in OpenAlex.

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  19. Association Between Unemployment and Mental Disorders: A Narrative Update of the Literature.International journal of environmental research and public health · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Dee LinJanssen Scientific Affairs, LLC, Titusville, NJ, USA.
Hyunchung KimIQVIA, 4820 Emperor Blvd, Durham, NC, 27703, USA.
Keiko WadaIQVIA, 4820 Emperor Blvd, Durham, NC, 27703, USA. keiko.wada@gmail.com.
Maya AboumradClinical Epidemiology Program, White River Junction VA Medical Center, White River Junction, VT, USA.
Ethan PowellClinical Epidemiology Program, White River Junction VA Medical Center, White River Junction, VT, USA.
Gabrielle ZwainClinical Epidemiology Program, White River Junction VA Medical Center, White River Junction, VT, USA.
Carmela BensonJanssen Scientific Affairs, LLC, Titusville, NJ, USA.
Aimee M NearIQVIA, 4820 Emperor Blvd, Durham, NC, 27703, USA.
IQVIA (United States) · USWhite River Junction VA Medical Center · USJanssen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden associated with schizophrenia is substantial. Impacts on the individual, healthcare system, and society may be particularly striking within the veteran population due to the presence of physical and mental health comorbidities. Disease burden is also influenced by a complex interplay between social determinants of health and health disparities. The objective of the current study was to compare non-healthcare societal outcomes between veterans with and without schizophrenia in the United States Veterans Health Administration (VHA).

methodsA retrospective cohort study was conducted using the VHA database (01/2013-09/2019; study period). Veterans with schizophrenia (≥2 diagnoses of ICD-9295.xx, ICD-10 F20.x, F21, and/or F25.x during the study period) were identified; the index date was the earliest observed schizophrenia diagnosis. Veterans with schizophrenia were propensity score-matched to those without schizophrenia using baseline characteristics. A 12-month baseline and variable follow-up period were applied. The frequency of unemployment, divorce, incarceration, premature death, and homelessness were compared between the matched cohorts using standardized mean difference (SMD). Risk of unemployment and homelessness were estimated using logistic regression models.

resultsA total of 102,207 veterans remained in each cohort after matching (91% male; 61% White [per AMA]; median age, 59 years). Among veterans with schizophrenia, 42% had a substance use disorder and 30% had mental health-related comorbidities, compared with 25 and 15%, respectively, of veterans without schizophrenia. Veterans with schizophrenia were more likely to experience unemployment (69% vs. 41%; SMD: 0.81), divorce (35% vs. 28%; SMD: 0.67), homelessness (28% vs. 7%; SMD: 0.57), incarceration (0.4% vs. 0.1%; SMD: 0.47), and premature death (14% vs. 12%; SMD < 0.1) than veterans without schizophrenia. After further adjustments, the risk of unemployment and of homelessness were 5.4 and 4.5 times higher among veterans with versus without schizophrenia. Other predictors of unemployment included Black [per AMA] race and history of substance use disorder; for homelessness, younger age (18-34 years) and history of mental health-related comorbidities were additional predictors.

conclusionA greater likelihood of adverse societal outcomes was observed among veterans with versus without schizophrenia. Given their elevated risk for unemployment and homelessness, veterans with schizophrenia should be a focus of targeted, multifactorial interventions to reduce disease burden.

Indexed as

Ill-Housed PersonsSchizophreniaSubstance-Related DisordersVeteransAdolescentAdultCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesUnemploymentUnited StatesUnited States Department of Veterans AffairsVeterans HealthDisease burdenHomelessnessPremature mortalitySchizophreniaSocietal burdenSubstance use disorderUnemploymentUnhousedVeterans

Identifiers

PMID35804314
PMCPMC9264584
OpenAlexW4284895954

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.