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      Integrated approach to cardiovascular disease in people experiencing homelessness: a qualitative study

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          Abstract

          Background

          Homelessness is associated with an increased risk of cardiovascular disease (CVD), beyond impact of socioeconomic status. CVD is preventable and treatable, though barriers to interventions exist for people experiencing homelessness. Those with lived experience of homelessness and health professionals with relevant expertise can help to understand and address these barriers.

          Objectives

          To understand, and make recommendations to improve, CVD care in homeless populations through lived and professional expertise.

          Method

          Four focus groups were conducted in March–July 2019. Three groups included people currently or previously experiencing homelessness, each attended by a cardiologist (AB), a health services researcher (PB) and an ‘expert by experience’ (SB) who coordinated participants. One group included multidisciplinary health and social care professionals in and around London to explore solutions.

          Participants

          The three groups included 16 men and 9 women, aged 20–60 years, of whom 24 were homeless and currently living in hostels, and 1 rough sleeper. At least 14 discussed sleeping rough at some point.

          Results

          Participants were aware of CVD risks and relevance of healthy habits but identified barriers to prevention and health access, starting with disorientation affecting planning and self-care, lack of facilities for food, hygiene and exercise, and experiences of discrimination.

          Conclusions

          CVD care for those experiencing homelessness should account for fundamental problems of the environment, be codesigned with service users and cover key principles: flexibility, public and staff education, integration of support and advocacy for health service rights.

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          Most cited references30

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          Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019

          Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
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            The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy recommendations.

            In the European Union, more than 400,000 individuals are homeless on any one night and more than 600,000 are homeless in the USA. The causes of homelessness are an interaction between individual and structural factors. Individual factors include poverty, family problems, and mental health and substance misuse problems. The availability of low-cost housing is thought to be the most important structural determinant for homelessness. Homeless people have higher rates of premature mortality than the rest of the population, especially from suicide and unintentional injuries, and an increased prevalence of a range of infectious diseases, mental disorders, and substance misuse. High rates of non-communicable diseases have also been described with evidence of accelerated ageing. Although engagement with health services and adherence to treatments is often compromised, homeless people typically attend the emergency department more often than non-homeless people. We discuss several recommendations to improve the surveillance of morbidity and mortality in homeless people. Programmes focused on high-risk groups, such as individuals leaving prisons, psychiatric hospitals, and the child welfare system, and the introduction of national and state-wide plans that target homeless people are likely to improve outcomes.
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              Morbidity and mortality in homeless individuals, prisoners, sex workers, and individuals with substance use disorders in high-income countries: a systematic review and meta-analysis

              Summary Background Inclusion health focuses on people in extremely poor health due to poverty, marginalisation, and multimorbidity. We aimed to review morbidity and mortality data on four overlapping populations who experience considerable social exclusion: homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals. Methods For this systematic review and meta-analysis, we searched MEDLINE, Embase, and the Cochrane Library for studies published between Jan 1, 2005, and Oct 1, 2015. We included only systematic reviews, meta-analyses, interventional studies, and observational studies that had morbidity and mortality outcomes, were published in English, from high-income countries, and were done in populations with a history of homelessness, imprisonment, sex work, or substance use disorder (excluding cannabis and alcohol use). Studies with only perinatal outcomes and studies of individuals with a specific health condition or those recruited from intensive care or high dependency hospital units were excluded. We screened studies using systematic review software and extracted data from published reports. Primary outcomes were measures of morbidity (prevalence or incidence) and mortality (standardised mortality ratios [SMRs] and mortality rates). Summary estimates were calculated using a random effects model. Findings Our search identified 7946 articles, of which 337 studies were included for analysis. All-cause standardised mortality ratios were significantly increased in 91 (99%) of 92 extracted datapoints and were 11·86 (95% CI 10·42–13·30; I 2=94·1%) in female individuals and 7·88 (7·03–8·74; I 2=99·1%) in men. Summary SMR estimates for the International Classification of Diseases disease categories with two or more included datapoints were highest for deaths due to injury, poisoning, and other external causes, in both men (7·89; 95% CI 6·40–9·37; I 2=98·1%) and women (18·72; 13·73–23·71; I 2=91·5%). Disease prevalence was consistently raised across the following categories: infections (eg, highest reported was 90% for hepatitis C, 67 [65%] of 103 individuals for hepatitis B, and 133 [51%] of 263 individuals for latent tuberculosis infection), mental health (eg, highest reported was 9 [4%] of 227 individuals for schizophrenia), cardiovascular conditions (eg, highest reported was 32 [13%] of 247 individuals for coronary heart disease), and respiratory conditions (eg, highest reported was 9 [26%] of 35 individuals for asthma). Interpretation Our study shows that homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals experience extreme health inequities across a wide range of health conditions, with the relative effect of exclusion being greater in female individuals than male individuals. The high heterogeneity between studies should be explored further using improved data collection in population subgroups. The extreme health inequity identified demands intensive cross-sectoral policy and service action to prevent exclusion and improve health outcomes in individuals who are already marginalised. Funding Wellcome Trust, National Institute for Health Research, NHS England, NHS Research Scotland Scottish Senior Clinical Fellowship, Medical Research Council, Chief Scientist Office, and the Central and North West London NHS Trust.
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                Author and article information

                Journal
                Open Heart
                Open Heart
                openhrt
                openheart
                Open Heart
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2053-3624
                2023
                13 April 2023
                : 10
                : 1
                : e002235
                Affiliations
                [1 ]departmentInstitute of Health Informatics , Ringgold_573973University College London , London, UK
                [2 ]Ringgold_192358University College London Cancer Institute , London, UK
                [3 ]UCL Collaborative Centre for Inclusion Health , London, UK
                [4 ]departmentInstitute of Epidemiology and Health Care , Ringgold_384711University College London , London, UK
                [5 ]Expert Focus , London, UK
                [6 ]departmentFarr Institute of Health Informatics Research , Ringgold_4919University College London , London, UK
                Author notes
                [Correspondence to ] Dr Amitava Banerjee; ami.banerjee@ 123456ucl.ac.uk
                Author information
                http://orcid.org/0000-0002-4864-8565
                http://orcid.org/0000-0001-8741-3411
                Article
                openhrt-2022-002235
                10.1136/openhrt-2022-002235
                10106063
                37055174
                f933041e-8fc6-4aae-82bc-8ceb7f417c47
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 13 December 2022
                : 21 March 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000272, National Institute for Health and Care Research;
                Award ID: (NIHR- RP-DG-0117-10003)
                Categories
                Health Care Delivery, Economics and Global Health Care
                1506
                Original research
                Custom metadata
                unlocked

                health services,risk factors,coronary artery disease

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