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Compton MT, Frimpong EY, Ehntholt A, Zhu H, Chaudhry S, Ferdousi W, Rowan GA, Radigan M, Smith TE, Rotter M. Associations between Social Adversities and Chronic Medical Conditions in a Statewide Sample of Individuals in Treatment for Mental Illnesses. Community Ment Health J 2024; 60:251-258. [PMID: 37395820 DOI: 10.1007/s10597-023-01165-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/24/2023] [Indexed: 07/04/2023]
Abstract
Individuals with mental illnesses experience disproportionately high rates of social adversities, chronic medical conditions, and early mortality. We analyzed a large, statewide dataset to explore associations between four social adversities and the presence of one or more, and then two or more, chronic medical conditions among individuals in treatment for mental illnesses in New York State. In Poisson regression models adjusting for multiple covariates (e.g., gender, age, smoking status, alcohol use), the presence of one or more adversities was associated with the presence of at least one medical condition (prevalence ratio (PR) = 1.21) or two or more medical conditions (PR = 1.46), and two or more adversities was associated with at least one medical condition (PR = 1.25) or two or more medical conditions (PR = 1.52) (all significant at p < .0001). Greater attention to primary, secondary, and tertiary prevention of chronic medical conditions is needed in mental health treatment settings, especially among those experiencing social adversities.
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Affiliation(s)
- Michael T Compton
- New York State Psychiatric Institute, New York, NY, USA.
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
| | | | - Amy Ehntholt
- New York State Psychiatric Institute, New York, NY, USA
- New York State Office of Mental Health, Albany, NY, USA
| | - Huilin Zhu
- New York State Office of Mental Health, Albany, NY, USA
| | | | | | - Grace A Rowan
- New York State Office of Mental Health, Albany, NY, USA
| | | | - Thomas E Smith
- New York State Psychiatric Institute, New York, NY, USA
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- New York State Office of Mental Health, Albany, NY, USA
| | - Merrill Rotter
- New York State Office of Mental Health, Albany, NY, USA
- Albert Einstein College of Medicine, New York, NY, USA
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Breast Cancer Care Pathways for Women with Preexisting Severe Mental Disorders: Evidence of Disparities in France? J Clin Med 2023; 12:jcm12020412. [PMID: 36675343 PMCID: PMC9862837 DOI: 10.3390/jcm12020412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/20/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023] Open
Abstract
The excess cancer mortality in persons with severe mental illness (SMI) has been well documented, and research suggests that it may be influenced by care-related factors. Our objective was to assess breast cancer care pathways in women with SMI in France, using an exhaustive population-based data-linkage study with a matched case-control design. The cases were 1346 women with incident breast cancer in 2013/2014 and preexisting SMI who were matched with three controls without SMI presenting similar demographics, initial breast cancer type, and year of incidence. We compared cancer care pathways and their quality for cases and controls, using a consensual set of indicators covering diagnosis, treatment, follow-up, and mortality (until 2017). After adjusting for covariates, cases had lower odds to undergo the main diagnostic tests, lumpectomy, adjuvant chemotherapy, and radiotherapy, as well as hormone therapy, but higher odds for mastectomy. Suboptimal quality in cancer pathways was observed for both groups, but to a higher extent for cases, especially for not receiving timely care after diagnosis and post-treatment follow-up. Breast cancer mortality, considering competing risks of deaths, was significantly elevated in women with SMI. These findings highlight disparities in cancer care pathways for individuals with SMI, as well as specific aspects of the care continuum which could benefit from targeted actions to reach equity of outcomes.
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Bellass S, Lister J, Kitchen CEW, Kramer L, Alderson SL, Doran T, Gilbody S, Han L, Hewitt C, Holt RIG, Jacobs R, Prady SL, Shiers D, Siddiqi N, Taylor J. Living with diabetes alongside a severe mental illness: A qualitative exploration with people with severe mental illness, family members and healthcare staff. Diabet Med 2021; 38:e14562. [PMID: 33772867 DOI: 10.1111/dme.14562] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 02/24/2021] [Accepted: 03/24/2021] [Indexed: 01/01/2023]
Abstract
AIMS Diabetes is two to three times more prevalent in people with severe mental illness, yet little is known about the challenges of managing both conditions from the perspectives of people living with the co-morbidity, their family members or healthcare staff. Our aim was to understand these challenges and to explore the circumstances that influence access to and receipt of diabetes care for people with severe mental illness. METHODS Framework analysis of qualitative semi-structured interviews with people with severe mental illness and diabetes, family members, and staff from UK primary care, mental health and diabetes services, selected using a maximum variation sampling strategy between April and December 2018. RESULTS In all, 39 adults with severe mental illness and diabetes (3 with type 1 diabetes and 36 with type 2 diabetes), nine family members and 30 healthcare staff participated. Five themes were identified: (a) Severe mental illness governs everyday life including diabetes management; (b) mood influences capacity and motivation for diabetes self-management; (c) cumulative burden of managing multiple physical conditions; (d) interacting conditions and overlapping symptoms and (e) support for everyday challenges. People living with the co-morbidity and their family members emphasised the importance of receiving support for the everyday challenges that impact diabetes management, and identified barriers to accessing this from healthcare providers. CONCLUSIONS More intensive support for diabetes management is needed when people's severe mental illness (including symptoms of depression) or physical health deteriorates. Interventions that help people, including healthcare staff, distinguish between symptoms of diabetes and severe mental illness are also needed.
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Affiliation(s)
- Sue Bellass
- Department of Health Sciences, University of York, Heslington, York, UK
| | - Jennie Lister
- Department of Health Sciences, University of York, Heslington, York, UK
| | | | - Lyndsey Kramer
- Department of Sociology, Wentworth College, University of York, Heslington, York, UK
| | | | - Tim Doran
- Department of Health Sciences, University of York, Heslington, York, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, Heslington, York, UK
| | - Lu Han
- Department of Health Sciences, University of York, Heslington, York, UK
| | - Catherine Hewitt
- Department of Health Sciences, University of York, Heslington, York, UK
| | - Richard Ian Gregory Holt
- Faculty of Medicine/Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Rowena Jacobs
- Centre for Health Economics, University of York, York, UK
| | | | - David Shiers
- Division of Psychology and Mental Health/Greater, Manchester Mental Health NHS Trust/Primary Care and Health Sciences (Keele University), University of Manchester, Manchester, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, Heslington, York, UK
- Bradford District Care NHS Foundation Trust, Shipley, Bradford, UK
- Hull York Medical School, University of York, Heslington, York, UK
| | - Johanna Taylor
- Department of Health Sciences, University of York, Heslington, York, UK
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Lister J, Han L, Bellass S, Taylor J, Alderson SL, Doran T, Gilbody S, Hewitt C, Holt RIG, Jacobs R, Kitchen CEW, Prady SL, Radford J, Ride JR, Shiers D, Wang HI, Siddiqi N. Identifying determinants of diabetes risk and outcomes for people with severe mental illness: a mixed-methods study. HEALTH SERVICES AND DELIVERY RESEARCH 2021. [DOI: 10.3310/hsdr09100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background
People with severe mental illness experience poorer health outcomes than the general population. Diabetes contributes significantly to this health gap.
Objectives
The objectives were to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with severe mental illness.
Design
Under a social inequalities framework, a concurrent mixed-methods design combined analysis of linked primary care records with qualitative interviews.
Setting
The quantitative study was carried out in general practices in England (2000–16). The qualitative study was a community study (undertaken in the North West and in Yorkshire and the Humber).
Participants
The quantitative study used the longitudinal health records of 32,781 people with severe mental illness (a subset of 3448 people had diabetes) and 9551 ‘controls’ (with diabetes but no severe mental illness), matched on age, sex and practice, from the Clinical Practice Research Datalink (GOLD version). The qualitative study participants comprised 39 adults with diabetes and severe mental illness, nine family members and 30 health-care staff.
Data sources
The Clinical Practice Research Datalink (GOLD) individual patient data were linked to Hospital Episode Statistics, Office for National Statistics mortality data and the Index of Multiple Deprivation.
Results
People with severe mental illness were more likely to have diabetes if they were taking atypical antipsychotics, were living in areas of social deprivation, or were of Asian or black ethnicity. A substantial minority developed diabetes prior to severe mental illness. Compared with people with diabetes alone, people with both severe mental illness and diabetes received more frequent physical checks, maintained tighter glycaemic and blood pressure control, and had fewer recorded physical comorbidities and elective admissions, on average. However, they had more emergency admissions (incidence rate ratio 1.14, 95% confidence interval 0.96 to 1.36) and a significantly higher risk of all-cause mortality than people with diabetes but no severe mental illness (hazard ratio 1.89, 95% confidence interval 1.59 to 2.26). These paradoxical results may be explained by other findings. For example, people with severe mental illness and diabetes were more likely to live in socially deprived areas, which is associated with reduced frequency of health checks, poorer health outcomes and higher mortality risk. In interviews, participants frequently described prioritising their mental illness over their diabetes (e.g. tolerating antipsychotic side effects, despite awareness of harmful impacts on diabetes control) and feeling overwhelmed by competing treatment demands from multiple morbidities. Both service users and practitioners acknowledged misattributing physical symptoms to poor mental health (‘diagnostic overshadowing’).
Limitations
Data may not be nationally representative for all relevant covariates, and the completeness of recording varied across practices.
Conclusions
People with severe mental illness and diabetes experience poorer health outcomes than, and deficiencies in some aspects of health care compared with, people with diabetes alone.
Future work
These findings can inform the development of targeted interventions aimed at addressing inequalities in this population.
Study registration
National Institute for Health Research (NIHR) Central Portfolio Management System (37024); and ClinicalTrials.gov NCT03534921.
Funding
This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Jennie Lister
- Department of Health Sciences, University of York, York, UK
| | - Lu Han
- Department of Health Sciences, University of York, York, UK
| | - Sue Bellass
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Jo Taylor
- Department of Health Sciences, University of York, York, UK
| | - Sarah L Alderson
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Tim Doran
- Department of Health Sciences, University of York, York, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK
| | | | - Richard IG Holt
- Faculty of Medicine, University of Southampton, Southampton, UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Rowena Jacobs
- Centre for Health Economics, University of York, York, UK
| | | | | | - John Radford
- Patient and public involvement representative, Keighley, UK
| | - Jemimah R Ride
- Centre for Health Policy, School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - David Shiers
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Primary Care and Health Sciences, Keele University, Keele, UK
| | - Han-I Wang
- Department of Health Sciences, University of York, York, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
- Bradford District Care NHS Foundation Trust, Bradford, UK
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Gandré C, Coldefy M. Disparities in the Use of General Somatic Care among Individuals Treated for Severe Mental Disorders and the General Population in France. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17103367. [PMID: 32408658 PMCID: PMC7277621 DOI: 10.3390/ijerph17103367] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 04/30/2020] [Accepted: 05/10/2020] [Indexed: 01/13/2023]
Abstract
Individuals with severe mental illnesses (SMI) face a striking excess and premature mortality which has been demonstrated in several national contexts. This phenomenon, which constitutes a red-flag indicator of public health inequities, can be hypothesized to result from healthcare access issues which have been insufficiently documented so far. In this context, our objective was to explore patterns of general somatic healthcare use of individuals treated for SMI in comparison to those of the general population in France using national health administrative data and a matched case-control study. Differences in the use of general and specific somatic preventive care services, primary care, routine specialized somatic care and admissions to non-psychiatric hospital departments for somatic causes were described between cases and controls after adjustment on differing clinical needs, socio-economic status, and living environment. Our results show a lower use of general preventive care services and of routine specialized somatic care in the SMI population, despite more frequent comorbidities, and a higher occurrence of avoidable hospitalizations, despite higher contacts with primary care physicians. These findings suggest that the health system fails to address the specific needs of this vulnerable population and support the development of measures aimed at reducing this gap.
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