Understanding social and clinical associations with unemployment for people with schizophrenia and bipolar disorders: large-scale health records study.
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| Title: | Understanding social and clinical associations with unemployment for people with schizophrenia and bipolar disorders: large-scale health records study. |
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| Authors: | Chilman, Natasha (AUTHOR), Laporte, Dionne (AUTHOR), Dorrington, Sarah (AUTHOR), Hatch, Stephani L. (AUTHOR), Morgan, Craig (AUTHOR), Okoroji, Celestin (AUTHOR), Stewart, Robert (AUTHOR), Das-Munshi, Jayati (AUTHOR) |
| Source: | Social Psychiatry & Psychiatric Epidemiology. Oct2024, Vol. 59 Issue 10, p1709-1719. 11p. |
| Subjects: | Mental health services, People with mental illness, Anthropological linguistics, People with schizophrenia, Substance abuse |
| Abstract: | Purpose: People with severe mental illness (SMI) experience high levels of unemployment. We aimed to better understand the associations between clinical, social, and demographic inequality indicators and unemployment. Methods: Data were extracted from de-identified health records of people with SMI in contact with secondary mental health services in south London, UK. A Natural Language Processing text-mining application was applied to extract information on unemployment in the health records. Multivariable logistic regression was used to assess associations with unemployment, in people with SMI. Results: Records from 19,768 service users were used for analysis, 84.9% (n = 16,778) had experienced unemployment. In fully adjusted models, Black Caribbean and Black African service users were more likely to experience unemployment compared with White British service users (Black Caribbean: aOR 1.62, 95% CI 1.45–1.80; Black African: 1.32, 1.15–1.51). Although men were more likely to have experienced unemployment relative to women in unadjusted models (OR 1.36, 95% CI 1.26–1.47), differences were no longer apparent in the fully adjusted models (aOR 1.05, 95% CI 0.97–1.15). The presence of a non-affective (compared to affective) diagnosis (1.24, 1.13–1.35), comorbid substance use (2.02, 1.76–2.33), previous inpatient admissions (4.18, 3.71–4.70), longer inpatient stays (78 + days: 7.78, 6.34–9.54), and compulsory admissions (3.45, 3.04–3.92) were associated with unemployment, in fully adjusted models. Conclusion: People with SMI experience high levels of unemployment, and we found that unemployment was associated with several clinical and social factors. Interventions to address low employment may need to also address these broader inequalities. [ABSTRACT FROM AUTHOR] |
| Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 180168376 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Understanding social and clinical associations with unemployment for people with schizophrenia and bipolar disorders: large-scale health records study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chilman%2C+Natasha%22">Chilman, Natasha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Laporte%2C+Dionne%22">Laporte, Dionne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dorrington%2C+Sarah%22">Dorrington, Sarah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hatch%2C+Stephani+L%2E%22">Hatch, Stephani L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Morgan%2C+Craig%22">Morgan, Craig</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Okoroji%2C+Celestin%22">Okoroji, Celestin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stewart%2C+Robert%22">Stewart, Robert</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Das-Munshi%2C+Jayati%22">Das-Munshi, Jayati</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Oct2024, Vol. 59 Issue 10, p1709-1719. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mental+health+services%22">Mental health services</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+mental+illness%22">People with mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Anthropological+linguistics%22">Anthropological linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+schizophrenia%22">People with schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: People with severe mental illness (SMI) experience high levels of unemployment. We aimed to better understand the associations between clinical, social, and demographic inequality indicators and unemployment. Methods: Data were extracted from de-identified health records of people with SMI in contact with secondary mental health services in south London, UK. A Natural Language Processing text-mining application was applied to extract information on unemployment in the health records. Multivariable logistic regression was used to assess associations with unemployment, in people with SMI. Results: Records from 19,768 service users were used for analysis, 84.9% (n = 16,778) had experienced unemployment. In fully adjusted models, Black Caribbean and Black African service users were more likely to experience unemployment compared with White British service users (Black Caribbean: aOR 1.62, 95% CI 1.45–1.80; Black African: 1.32, 1.15–1.51). Although men were more likely to have experienced unemployment relative to women in unadjusted models (OR 1.36, 95% CI 1.26–1.47), differences were no longer apparent in the fully adjusted models (aOR 1.05, 95% CI 0.97–1.15). The presence of a non-affective (compared to affective) diagnosis (1.24, 1.13–1.35), comorbid substance use (2.02, 1.76–2.33), previous inpatient admissions (4.18, 3.71–4.70), longer inpatient stays (78 + days: 7.78, 6.34–9.54), and compulsory admissions (3.45, 3.04–3.92) were associated with unemployment, in fully adjusted models. Conclusion: People with SMI experience high levels of unemployment, and we found that unemployment was associated with several clinical and social factors. Interventions to address low employment may need to also address these broader inequalities. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=180168376 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00127-024-02620-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1709 Subjects: – SubjectFull: Mental health services Type: general – SubjectFull: People with mental illness Type: general – SubjectFull: Anthropological linguistics Type: general – SubjectFull: People with schizophrenia Type: general – SubjectFull: Substance abuse Type: general Titles: – TitleFull: Understanding social and clinical associations with unemployment for people with schizophrenia and bipolar disorders: large-scale health records study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chilman, Natasha – PersonEntity: Name: NameFull: Laporte, Dionne – PersonEntity: Name: NameFull: Dorrington, Sarah – PersonEntity: Name: NameFull: Hatch, Stephani L. – PersonEntity: Name: NameFull: Morgan, Craig – PersonEntity: Name: NameFull: Okoroji, Celestin – PersonEntity: Name: NameFull: Stewart, Robert – PersonEntity: Name: NameFull: Das-Munshi, Jayati IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09337954 Numbering: – Type: volume Value: 59 – Type: issue Value: 10 Titles: – TitleFull: Social Psychiatry & Psychiatric Epidemiology Type: main |
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