Mortality, ethnicity, and country of birth on a national scale, 2001-2013: A retrospective cohort (Scottish Health and Ethnicity Linkage Study)

A scoping review of academic and grey literature on migrant health research conducted in Scotland

BACKGROUND

Migration to Scotland has increased since 2002 with an increase in European residents and participation in the Asylum dispersal scheme. Scotland has become more ethnically diverse, and 10% of the current population were born abroad. Migration and ethnicity are determinants of health, and information on the health status of migrants to Scotland and their access to and barriers to care facilitates the planning and delivery of equitable health services. This study aimed to scope existing peer-reviewed research and grey literature to identify gaps in evidence regarding the health of migrants in Scotland.

METHODS

A scoping review on the health of migrants in Scotland was carried out for dates January 2002 to March 2023, inclusive of peer-reviewed journals and grey literature. CINAHL/ Web of Science/SocIndex and Medline databases were systematically searched along with government and third-sector websites. The searches identified 2166 journal articles and 170 grey literature documents for screening. Included articles were categorised according to the World Health Organisation's 2016 Strategy and Action Plan for Refugee and Migrant Health in the European region. This approach builds on a previously published literature review on Migrant Health in the Republic of Ireland.

RESULTS

Seventy-one peer reviewed journal articles and 29 grey literature documents were included in the review. 66% were carried out from 2013 onwards and the majority focused on asylum seekers or unspecified migrant groups. Most research identified was on the World Health Organisation's strategic areas of right to health of refugees, social determinants of health and public health planning and strengthening health systems. There were fewer studies on the strategic areas of frameworks for collaborative action, preventing communicable disease, preventing non-communicable disease, health screening and assessment and improving health information and communication.

CONCLUSION

While research on migrant health in Scotland has increased in recent years significant gaps remain. Future priorities should include studies of undocumented migrants, migrant workers, and additional research is required on the issue of improving health information and communication.

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998-2019

BACKGROUND

Higher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. We aim to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998-2019.

METHODS

We used the 2001 and 2011 Belgian Indices of Multiple Deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction, and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles.

RESULTS

Men and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998-2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas.

CONCLUSION

Premature mortality rates have declined over time, but inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most to the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

Ethnicity and survival after a dementia diagnosis: a retrospective cohort study using electronic health record data

BACKGROUND

Individuals from minority ethnic groups in the UK are thought to be at higher risk of developing dementia while facing additional barriers to receiving timely care. However, few studies in the UK have examined if there are ethnic disparities in survival once individuals receive a dementia diagnosis.

METHODS

We conducted a retrospective cohort study using electronic health record data of individuals diagnosed with dementia from a large secondary mental healthcare provider in London. Patients from Black African, Black Caribbean, South Asian, White British, and White Irish ethnic backgrounds were followed up for a 10-year period between 01 January 2008 and 31 December 2017. Data were linked to death certificate data from the Office of National Statistics to determine survival from dementia diagnosis. Standardised mortality ratios were calculated to estimate excess deaths in each ethnicity group as compared to the gender- and age-standardised population of England and Wales. We used Cox regression models to compare survival after dementia diagnosis across each ethnicity group.

RESULTS

Mortality was elevated at least twofold across all ethnicity groups with dementia compared to the general population in England and Wales. Risk of death was lower in Black Caribbean, Black African, White Irish, and South Asian groups as compared to the White British population, even after adjusting for age, gender, neighbourhood-level deprivation, indicators of mental and physical comorbidities. Risk of death remained lower after additionally accounting for those who emigrated out of the cohort.

CONCLUSIONS

While mortality in dementia is elevated across all ethnic groups as compared to the general population, reasons for longer survival in minority ethnic groups in the UK as compared to the White British group are unclear and merit further exploration. Implications of longer survival, including carer burden and costs, should be considered in policy and planning to ensure adequate support for families and carers of individuals with dementia.

Framework for refugee and migrant health research in the WHO European Region

Migration is a longstanding, growing global phenomenon. As a social determinant of health, migration can lead to health inequities between people on the move and host populations. Thus, it is imperative that there is a coordinated effort to advance migration- and health-related goals. WHO has a specific remit to support evidence-based decision-making in its Member States. As part of that remit, WHO Europe presents this Framework for Refugee and Migrant Health Research in the WHO European Region. It is designed as a starting point for debating and analysing a broad range of options and approaches to help inform a WHO global research agenda on health and migration. This is important because refugee and migrant health research is a complex interdisciplinary field that is expanding in a fast-changing socio-political environment. The Framework is intended for all stakeholders involved: academic, civil society organisations, refugees, migrants, policy-makers, healthcare providers, educators and funders. It is developed by academics in consultation with these stakeholder groups. It reflects on three specific interrelated dynamics in research practice. These are (i) research prioritisation; (ii) study samples and (iii) research design. The Framework offers recommendations to consider for each one of these. It elucidates the value of involving refugees and migrants in research and research agendas and the need to develop an ecosystem that will support and sustain participatory, interdisciplinary, transdisciplinary and inter-sectoral projects.

Ethnic and Sexual Identity-Related Inequalities in Adolescent Health and Well-Being in a National Population-Based Study

Purpose: This study employed an intersectional framework to examine impact of inequalities related to sexual minority (SM) and ethnic minority (EM) identities in risk for health, well-being, and health-related behaviors in a nationally representative sample. Methods: Participants included 9789 (51% female) adolescents aged 17 years from the U.K.-wide Millennium Cohort Study, with data on self-identified sexual and ethnic identities. Adolescents were grouped into White heterosexual, White-SM, EM-heterosexual, and EM-SM categories. Questionnaires assessed mental health (e.g., self-reported psychological distress, doctor-diagnosed depression, attempted suicide), general health (self-rated health, chronic illness, body mass index), and health-related behaviors (e.g., smoking, substance use). Associations were analyzed using multivariable logistic regression. Results: SM individuals (White: 18% and EM: 3%) had increased odds for mental health difficulties and attempted suicide, with higher odds for White-SM individuals than for EM-SM individuals. Compared with White heterosexual individuals, White-SM and EM-SM individuals had higher risk for psychological distress (adjusted odds ratios [OR] 3.47/2.24 for White-SM/EM-SM, respectively) and emotional symptoms (OR 3.17/1.65). They had higher odds for attempted suicide (OR 2.78/2.02), self-harm (OR 3.06/1.52), and poor sleep quality (OR 1.88/1.67). In contrast, the White heterosexual and White-SM groups had similarly high proportions reporting risky behaviors except for drug use (OR 1.45) and risky sex (OR 1.40), which were more common in White-SM individuals. EM-heterosexual and EM-SM individuals had decreased odds for health-related behaviors. Conclusion: SM (White and EM) individuals had substantially worse mental health compared with heterosexual peers. Adverse health-related behaviors were more common in White-SM individuals. Investigation into the mechanisms leading to these differences is needed.

Nationwide longitudinal population-based study on mortality in Italy by immigrant status

A systematic analysis of the mortality of immigrant residents throughout Italy has never been carried out. The present study aimed to evaluate differences in mortality by immigrant status. A longitudinal study of the Italian resident population (native and immigrants) recorded in the 2011 National Institute of Statistics Census was conducted. This cohort was followed up from 2012 to 2018 until death, emigration, or end of the study period. The exposure variable was the immigrant status, measured through citizenship, dichotomized into Italian and immigrant. The main outcome was overall and cause-specific mortality. Age-standardized mortality ratios (SMRs) were calculated. The SMRs among immigrants were half that of Italians, both for men (SMR 0.52) and women (SMR 0.51), with the lowest SMRs observed for subjects from North Africa and Oceania. For some causes of death, mortality was higher among immigrants: tuberculosis in both men (SMR 4.58) and women (SMR 4.72), and cervical cancer (SMR 1.58), complications of pregnancy, childbirth, and puerperium (SMR 1.36), and homicide (SMR 2.13) for women. A multivariable quasi-Poisson regression analysis, adjusted for age and macro area of residence in Italy, confirmed a lower all-cause mortality for immigrants compared to Italians, both for men (RR 0.46) and women (RR 0.44). Although immigration to Italy is no longer a recent phenomenon, and the presence of immigrants is acquiring structural characteristics, our study confirms their health advantage, with a lower mortality than that of Italians for almost all causes of death and for all areas of origin.

Associations between multiple long-term conditions and mortality in diverse ethnic groups

BACKGROUND

Multiple conditions are more prevalent in some minoritised ethnic groups and are associated with higher mortality rate but studies examining differential mortality once conditions are established is US-based. Our study tested whether the association between multiple conditions and mortality varies across ethnic groups in England.

METHODS AND FINDINGS

A random sample of primary care patients from Clinical Practice Research Datalink (CPRD) was followed from 1st January 2015 until 31st December 2019. Ethnicity, usually self-ascribed, was obtained from primary care records if present or from hospital records. Long-term conditions were counted from a list of 32 that have previously been associated with greater primary care, hospital admissions, or mortality risk. Cox regression models were used to estimate mortality by count of conditions, ethnicity and their interaction, with adjustment for age and sex for 532,059 patients with complete data. During five years of follow-up, 5.9% of patients died. Each additional condition at baseline was associated with increased mortality. The direction of the interaction of number of conditions with ethnicity showed a statistically higher mortality rate associated with long-term conditions in Pakistani, Black African, Black Caribbean and Other Black ethnic groups. In ethnicity-stratified models, the mortality rate per additional condition at age 50 was 1.33 (95% CI 1.31,1.35) for White ethnicity, 1.43 (95% CI 1.26,1.61) for Black Caribbean ethnicity and 1.78 (95% CI 1.41,2.24) for Other Black ethnicity.

CONCLUSIONS

The higher mortality rate associated with having multiple conditions is greater in minoritised compared with White ethnic groups. Research is now needed to identify factors that contribute to these inequalities. Within the health care setting, there may be opportunities to target clinical and self-management support for people with multiple conditions from minoritised ethnic groups.

Complex differences in infection rates between ethnic groups in Scotland: a retrospective, national census-linked cohort study of 1.65 million cases

BACKGROUND

Ethnicity can influence susceptibility to infection, as COVID-19 has shown. Few countries have systematically investigated ethnic variations in infection.

METHODS

We linked the Scotland 2001 Census, including ethnic group, to national databases of hospitalizations/deaths and serological diagnoses of bloodborne viruses for 2001-2013. We calculated age-adjusted rate ratios (RRs) in 12 ethnic groups for all infections combined, 15 infection categories, and human immunodeficiency virus (HIV), hepatitis B (HBV) and hepatitis C (HCV) viruses.

RESULTS

We analysed over 1.65 million infection-related hospitalisations/deaths. Compared with White Scottish, RRs for all infections combined were 0.8 or lower for Other White British, Other White and Chinese males and females, and 1.2-1.4 for Pakistani and African males and females. Adjustment for socioeconomic status or birthplace had little effect. RRs for specific infection categories followed similar patterns with striking exceptions. For HIV, RRs were 136 in African females and 14 in males; for HBV, 125 in Chinese females and 59 in males, 55 in African females and 24 in males; and for HCV, 2.3-3.1 in Pakistanis and Africans.

CONCLUSIONS

Ethnic differences were found in overall rates and many infection categories, suggesting multiple causative pathways. We recommend census linkage as a powerful method for studying the disproportionate impact of COVID-19.

The impact of economic recession on the health of migrant fathers over time: results from the Growing up in Ireland longitudinal study

Background

The relationship between economic conditions and health can depend on both the health outcome measured and the composition of the population. Analysis of outcomes by both ethnicity and country of birth has been recommended. The aim of our study is to explore the impact of recession on self-rated health and depression of migrant fathers in Ireland over time, considering both ethnicity and country of birth.

Methods

Longitudinal data from waves of a population-representative cohort study (Growing up in Ireland, 2008–2013) was used with Wave 1 collected before the recession and Wave 2 collecting information on how the recession affected families. Socio-demographic variables, self-rated health and depression were compared across three groups of fathers classified by self-identified ethnicity and country of birth: White Irish (n = 5628), Other White European (EU-10) (n = 431), and Black African (n = 192) using chi-square tests and logistic regression models. Rates of follow-up were compared across groups at Wave 3.

Results

Prior to the recession, the rate of employment was lowest for African fathers (51% vs 81% for EU-10 fathers and 92% for Irish fathers, p < 0.001). At Wave 2, African families were more likely to have experienced a very significant effect of the recession (40.1% compared to 22.4% for families from EU-10 and 21.3% for Irish families, p < 0.001). However, the impact of the recession on depression and self-rated health was only found in Irish fathers. By Wave 3, rates of follow-up were lower for migrant fathers, particularly for EU-10 fathers.

Conclusions

Understanding the relationship between economic conditions and health is complex and may be related to multiple dimensions of socio-economic advantage and disadvantage. African families were already more likely to be disadvantaged prior to the recession and that pattern persisted during the recession. Further research on attrition rates of migrants in population cohort studies is needed and the development of effective strategies for recruitment, follow-up and analysis.

Investigating the salmon bias effect among international immigrants in Sweden: a register-based open cohort study

Background

Studies of migration and health have hypothesized that immigrants may emigrate when they develop poor health (salmon bias effect), which may partially explain the mortality advantage observed among immigrants in high-income countries. We evaluated the salmon bias effect by comparing the health of immigrants in Sweden who emigrated with those who remained, while also exploring potential variation by macro-economic conditions, duration of residence and region of origin.

Methods

A longitudinal, open cohort study design was used to assess risk of emigration between 1992 and 2016 among all adult (18+ years) foreign-born persons who immigrated to Sweden between 1965 and 2012 (n = 1 765 459). The Charlson Comorbidity Index was used to measure health status, using information on hospitalizations from the Swedish National Patient Register. Poisson regression models were used to estimate incidence rate ratios (RRs) with 95% confidence intervals (CIs) for emigrating from Sweden.

Results

Immigrants with low (RR = 0.83; 95% CI: 0.76–0.90) moderate (RR = 0.70; 95% CI: 0.62–0.80) and high (RR = 0.62; 95% CI: 0.48–0.82) levels of comorbidities had decreased risk of emigration relative to those with no comorbidities. There was no evidence of variation by health status in emigration during periods of economic recession or by duration of residence. Individuals with low to moderate levels of comorbidities from some regions of origin had an increased risk of emigration relative to those with no comorbidities.

Conclusions

The study results do not support the existence of a salmon bias effect as a universal phenomenon among international immigrants in Sweden.

Differences in ill health and in socioeconomic inequalities in health by ethnic groups: a cross-sectional study using 2011 Scottish census

Objectives: We compare rates of ill health and socioeconomic inequalities in health by ethnic groups in Scotland by age. We focus on ethnic differences in socioeconomic inequalities in health. There is little evidence of how socioeconomic inequalities in health vary by ethnicity, especially in Scotland, where health inequalities are high compared to other European countries.Design: A cross-sectional study using the 2011 Scottish Census (population 5.3 million) was conducted. Directly standardized rates were calculated for two self-rated health outcomes (poor general health and limiting long-term illness) separately by ethnicity, age and small-area deprivation. Slope and relative indices of inequality were calculated to measure socioeconomic inequalities in health.Results: The results show that the White Scottish population tend to have worse health and higher socioeconomic inequalities in health than many other ethnic groups, while White Polish and Chinese people tend to have better health and low socioeconomic inequalities in health. These results are more salient for ages 30-44. The Pakistani population has high rates of poor health similar to the White Scottish for ages 15-44, but at ages 45 and above Pakistani people have the highest rates of poor self-rated health. Compared to other ethnicities, Pakistani people are also more likely to experience poor health in the least deprived areas, particularly at ages 45 and above.Conclusions: There are statistically significant and substantial differences in poor self-rated health and in socioeconomic inequalities in health between ethnicities. Rates of ill health vary between ethnic groups at any age. The better health of the younger minority population should not be taken as evidence of better health outcomes in later life. Since socioeconomic gradients in health vary by ethnicity, policy interventions for health improvement in Scotland that focus only on deprived areas may inadvertently exclude minority populations.

Civil Servants and Non-Western Migrants' Perceptions on Pathways to Health Care in Serbia-A Grounded Theory, Multi-Perspective Study

(1) Background: Informal patient payments continue to persist in the Serbian health care system, exposing vulnerable groups to private spending on health care. Migrants may in particular be subject to such payments, as they often experience barriers in access to health care. Little is known about migrants paying informally to access health care in Serbia. The study aims to explore pathways of accessing health care, including the role of informal patient payments, from the perspectives of civil servants and non-western migrants in Serbia. (2) Methods: Respondents (n = 8 civil servants and n = 6 migrants) were recruited in Belgrade in 2018, where semi-structured interviews were conducted. The interviews were analysed applying the grounded theory methodological steps. (3) Results: Data reveal different pathways to navigate the Serbian health care system, and ultimately whether paying informally occurs. Migrants appear less prone to paying informally and receive the same or better-quality health care. Locals experience the need to pay informal patient payments, quasi-formal payments and to bring medicine, materials or equipment when in health facilities. (4) Conclusions: Paying informally or using private care in Serbia appear to have become common. Despite a comprehensive health insurance coverage, high levels of out-of-pocket payments show barriers in accessing health care. It is highly important to not confuse the cultural beliefs with forced spending on health care and such private spending should be reduced to not push people into poverty.

Ethnicity and acute hospital admissions: Multi-center analysis of routine hospital data

Background: The effects of ethnic and social inequalities on patient outcomes in acute healthcare remain poorly understood. Methods: Prospectively-defined analysis of registry data from four acute NHS hospitals in east London including all patients ≥ 18 years with a first emergency admission between 1st January 2013 and 31st December 2018. We calculated adjusted one-year mortality risk using logistic regression. Results are presented as n (%), median (IQR), and odds ratios (OR) with 95% confidence intervals. Findings: We included 203,182 patients. 43,101 (21%) patients described themselves as Asian, 21,388 (10.5%) Black, 2,982 (1.4%) Mixed, 13,946 (6.8%) Other ethnicity, and 100,065 (49%) White. We excluded 21,700 (10.7%) patients with undisclosed ethnicity. 16,054 (7.9%) patients died within one year. Non-white patients were younger (Asian: 43 [31-62] years; Black: 48 [33-63] years; Mixed 36 [26-52] years) than White patients (55 [35-75] years), with a higher incidence of comorbid disease. In each age-group, non-white patients were more likely to be admitted to hospital. This effect was greatest in the ≥ 80 years age-group (32% non-white admitted to hospital versus 23% non-white in community population). Deprivation was associated with increased mortality in all ethnic groups (OR 1.41 [1.33-1.50]; p < 0.001). However, when adjusted for age, Asian (0.69 [0.66-0.73], p < 0.0001) and Black patients (0.79 [0.74-0.85]; p < 0.0001) experienced a lower mortality risk than White patients. Interpretation: Ethnic and social disparities are associated with important differences in acute health outcomes. However, these differences are masked by statistical adjustment because patients from ethnic minorities present at a younger age. Funding: None.

Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform

BACKGROUND

Mortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. We aimed to investigate how specific factors are differentially associated with COVID-19 mortality as compared to mortality from causes other than COVID-19.

METHODS

Working on behalf of NHS England, we carried out a cohort study within the OpenSAFELY platform. Primary care data from England were linked to national death registrations. We included all adults (aged ≥18 years) in the database on 1st February 2020 and with >1 year of continuous prior registration; the cut-off date for deaths was 9th November 2020. Associations between individual-level characteristics and COVID-19 and non-COVID deaths, classified according to the presence of a COVID-19 code as the underlying cause of death on the death certificate, were estimated by fitting age- and sex-adjusted logistic models for these two outcomes.

FINDINGS

17,456,515 individuals were included. 17,063 died from COVID-19 and 134,316 from other causes. Most factors associated with COVID-19 death were similarly associated with non-COVID death, but the magnitudes of association differed. Older age was more strongly associated with COVID-19 death than non-COVID death (e.g. ORs 40.7 [95% CI 37.7-43.8] and 29.6 [28.9-30.3] respectively for ≥80 vs 50-59 years), as was male sex, deprivation, obesity, and some comorbidities. Smoking, history of cancer and chronic liver disease had stronger associations with non-COVID than COVID-19 death. All non-white ethnic groups had higher odds than white of COVID-19 death (OR for Black: 2.20 [1.96-2.47], South Asian: 2.33 [2.16-2.52]), but lower odds than white of non-COVID death (Black: 0.88 [0.83-0.94], South Asian: 0.78 [0.75-0.81]).

INTERPRETATION

Similar associations of most individual-level factors with COVID-19 and non-COVID death suggest that COVID-19 largely multiplies existing risks faced by patients, with some notable exceptions. Identifying the unique factors contributing to the excess COVID-19 mortality risk among non-white groups is a priority to inform efforts to reduce deaths from COVID-19.

FUNDING

Wellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK.

Ethnic disparities in preventable hospitalisation in England: an analysis of 916 375 emergency admissions

OBJECTIVES

To study ethnic inequalities in ambulatory care sensitive conditions (ACSC) in England.

DESIGN

Observational study of inpatient hospital admission database enhanced with ethnicity coding of patient surnames. The primary diagnosis of the first episode in spells with emergency admission were coded with definitions for acute ACSC, chronic ACSC and vaccine-preventable diseases.

SETTING

National Health Service England.

PARTICIPANTS

916 375 ACSC emergency admissions in 7 39 618 patients were identified between April 2011 and March 2012.

MAIN OUTCOME MEASURES

ORs of ACSC for each ethnic group relative to the White British majority group adjusted for age, sex and area deprivation.

RESULTS

Acute ACSC admission risk adjusted for age and sex was particularly high among Other (OR 1.73; 95% CI 1.69 to 1.77) and Pakistani (1.51; 95% CI 1.48 to 1.54) compared with White British patients. For chronic ACSC, high risk was found among Other (2.02; 95% CI 1.97 to 2.08), Pakistani (2.07; 95% CI 2.02 to 2.12) and Bangladeshi (1.36; 95% CI 1.30 to 1.42). For vaccine-preventable diseases, other (2.42; 95% CI 2.31 to 2.54), Pakistani (1.94; 95% CI 1.85 to 2.04), Bangladeshi (1.48; 95% CI 1.36 to 1.62), Black African (1.45; 95% CI 1.36 to 1.54) and white other (1.38; 95% CI 1.33 to 1.43) groups. Elevated risk was only partly explained in analyses also adjusting for area deprivation.

CONCLUSIONS

ACSC admission was especially high among individuals of Bangladeshi, Pakistani, Black African, white other or other background with up to twofold differences compared with the white British group. This suggests that these ethnic groups are not receiving optimal primary care.

The impact of COVID-19 on different population subgroups: ethnic, gender and age-related disadvantage

Against a background of stalling UK life expectancy, the COVID-19 pandemic is a major crisis for public health with impacts differing markedly by ethnicity, gender, and age. Direct health impacts include mortality and long-term harms among survivors. Social disruption and lockdown measures arising from uncontrolled infection have destabilised healthcare and other essential services. The economic crisis resulting from the pandemic is already triggering job losses, which will in turn have their own adverse health effects. These myriad impacts of the pandemic are not affecting everyone equally. Ethnic minorities, men and older people have disproportionately suffered from COVID-19, including their risk of mortality. However, some indirect impacts - including those on mental health and employment - are more likely to affect women and younger people. The health consequences of the pandemic will affect the lives of people in the UK for decades.

Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform

BACKGROUND

COVID-19 has disproportionately affected minority ethnic populations in the UK. Our aim was to quantify ethnic differences in SARS-CoV-2 infection and COVID-19 outcomes during the first and second waves of the COVID-19 pandemic in England.

METHODS

We conducted an observational cohort study of adults (aged ≥18 years) registered with primary care practices in England for whom electronic health records were available through the OpenSAFELY platform, and who had at least 1 year of continuous registration at the start of each study period (Feb 1 to Aug 3, 2020 [wave 1], and Sept 1 to Dec 31, 2020 [wave 2]). Individual-level primary care data were linked to data from other sources on the outcomes of interest: SARS-CoV-2 testing and positive test results and COVID-19-related hospital admissions, intensive care unit (ICU) admissions, and death. The exposure was self-reported ethnicity as captured on the primary care record, grouped into five high-level census categories (White, South Asian, Black, other, and mixed) and 16 subcategories across these five categories, as well as an unknown ethnicity category. We used multivariable Cox regression to examine ethnic differences in the outcomes of interest. Models were adjusted for age, sex, deprivation, clinical factors and comorbidities, and household size, with stratification by geographical region.

FINDINGS

Of 17 288 532 adults included in the study (excluding care home residents), 10 877 978 (62·9%) were White, 1 025 319 (5·9%) were South Asian, 340 912 (2·0%) were Black, 170 484 (1·0%) were of mixed ethnicity, 320 788 (1·9%) were of other ethnicity, and 4 553 051 (26·3%) were of unknown ethnicity. In wave 1, the likelihood of being tested for SARS-CoV-2 infection was slightly higher in the South Asian group (adjusted hazard ratio 1·08 [95% CI 1·07-1·09]), Black group (1·08 [1·06-1·09]), and mixed ethnicity group (1·04 [1·02-1·05]) and was decreased in the other ethnicity group (0·77 [0·76-0·78]) relative to the White group. The risk of testing positive for SARS-CoV-2 infection was higher in the South Asian group (1·99 [1·94-2·04]), Black group (1·69 [1·62-1·77]), mixed ethnicity group (1·49 [1·39-1·59]), and other ethnicity group (1·20 [1·14-1·28]). Compared with the White group, the four remaining high-level ethnic groups had an increased risk of COVID-19-related hospitalisation (South Asian group 1·48 [1·41-1·55], Black group 1·78 [1·67-1·90], mixed ethnicity group 1·63 [1·45-1·83], other ethnicity group 1·54 [1·41-1·69]), COVID-19-related ICU admission (2·18 [1·92-2·48], 3·12 [2·65-3·67], 2·96 [2·26-3·87], 3·18 [2·58-3·93]), and death (1·26 [1·15-1·37], 1·51 [1·31-1·71], 1·41 [1·11-1·81], 1·22 [1·00-1·48]). In wave 2, the risks of hospitalisation, ICU admission, and death relative to the White group were increased in the South Asian group but attenuated for the Black group compared with these risks in wave 1. Disaggregation into 16 ethnicity groups showed important heterogeneity within the five broader categories.

INTERPRETATION

Some minority ethnic populations in England have excess risks of testing positive for SARS-CoV-2 and of adverse COVID-19 outcomes compared with the White population, even after accounting for differences in sociodemographic, clinical, and household characteristics. Causes are likely to be multifactorial, and delineating the exact mechanisms is crucial. Tackling ethnic inequalities will require action across many fronts, including reducing structural inequalities, addressing barriers to equitable care, and improving uptake of testing and vaccination.

FUNDING

Medical Research Council.

Ethnic inequalities in hospital admissions in England: an observational study

BACKGROUND

Ethnic inequalities in health are well-known and partly explained by social determinants such as poorer living and working conditions, health behaviours, discrimination, social exclusion, and healthcare accessibility factors. Inequalities are known both for self-reported health and for diseases such as diabetes, cardiovascular diseases, respiratory diseases, and non-specific chest pains. Most studies however concern individual diseases or self-reported health and do not provide an overview that can detect gaps in existing knowledge. The aim of this study is thus to identify ethnic inequalities in inpatient hospital admission for all major disease categories in England.

METHODS

Observational study of the inpatient hospital admission database in England enhanced with ethnicity coding of participants' surnames. The primary diagnosis was coded to Level 1 of the Global Burden of Disease groups. For each year, only the first admission for each condition for each participant was included. If a participant was readmitted within two days only the first admission was counted. Admission risk for all major disease groups for each ethnic group relative to the White British group were calculated using logistic regression adjusting for age and area deprivation.

RESULTS

40,928,105 admissions were identified between April 2009 and March 2014. Ethnic inequalities were found in cardiovascular diseases, respiratory diseases, chest pain, and diabetes in line with previous studies. Additional inequalities were found in nutritional deficiencies, endocrine disorders, and sense organ diseases.

CONCLUSIONS

The results of this study were consistent with known inequalities, but also found previously unreported disparities in nutritional deficiencies, endocrine disorders, and sense organ diseases. Further studies would be required to map out the relevant care pathways for ethnic minorities and establish whether preventive measures can be strengthened.

Unequal impact of the COVID-19 crisis on minority ethnic groups: a framework for understanding and addressing inequalities

Minority ethnic groups have been disproportionately affected by the COVID-19 pandemic. While the exact reasons for this remain unclear, they are likely due to a complex interplay of factors rather than a single cause. Reducing these inequalities requires a greater understanding of the causes. Research to date, however, has been hampered by a lack of theoretical understanding of the meaning of ‘ethnicity’ (or race) and the potential pathways leading to inequalities. In particular, quantitative analyses have often adjusted away the pathways through which inequalities actually arise (ie, mediators for the effect of interest), leading to the effects of social processes, and particularly structural racism, becoming hidden. In this paper, we describe a framework for understanding the pathways that have generated ethnic (and racial) inequalities in COVID-19. We suggest that differences in health outcomes due to the pandemic could arise through six pathways: (1) differential exposure to the virus; (2) differential vulnerability to infection/disease; (3) differential health consequences of the disease; (4) differential social consequences of the disease; (5) differential effectiveness of pandemic control measures and (6) differential adverse consequences of control measures. Current research provides only a partial understanding of some of these pathways. Future research and action will require a clearer understanding of the multiple dimensions of ethnicity and an appreciation of the complex interplay of social and biological pathways through which ethnic inequalities arise. Our framework highlights the gaps in the current evidence and pathways that need further investigation in research that aims to address these inequalities.

Participatory health research with migrants: Opportunities, challenges, and way forwards

CONTEXT

Migration is one of the most politically pressing issues of the 21st century but migrant health remains an under-researched area. The International Collaboration for Participatory Health Research (ICPHR) working group on migration developed this position statement to address opportunities and challenges in relation to migrant health. It aims to contribute to a shift from a deficit model that sees migrants as passively affected by policies to their reconceptualization as citizens who are engaged in the co-creation of solutions.

METHODS

This paper examines the opportunities and challenges posed by the use of PHR with migrants. It draws on a broad literature to provide examples of successful PHR with migrants and highlights critical issues for consideration.

FINDINGS

Successful initiatives illustrate the value of engaging migrants in the definition of the research agenda, the design and implementation of health interventions, the identification of health-protective factors and the operationalization and validation of indicators to monitor progress. Within increasingly super diverse contexts, fragmented community landscapes that are not necessarily constructed along ethnicity traits, inadequate structures of representation, local tensions and operational barriers can hamper meaningful PHR with migrants.

CONCLUSION

For each research context, it is essential to gauge the 'optimal' level and type of participation that is more likely to leverage migrants' empowerment. The development of Monitoring and Evaluation tools and methodological strategies to manage inter-stakeholder discrepancies and knowledge translation gaps are steps in this direction.

PATIENT OR PUBLIC CONTRIBUTION

This paper draws from contributions of migrant populations and other stakeholders to policymaking.

Life Expectancy of the Ethnically Mixed: Register-Based Evidence from Native Finns

As the ethnic composition around the world is becoming more diverse, the need to produce vital statistics for ethnically mixed populations is continuously increasing. Our aim is to provide the first life expectancy estimates for individuals with uniform Finnish, uniform Swedish, and mixed Finnish-Swedish backgrounds, based on individuals in the native population of Finland who can be linked to both their parents. Life expectancy at birth in the period 2005–2015 was calculated from population and mortality numbers at the one-year level based on each person’s sex, year of birth, and the unique ethnolinguistic affiliation of the index person and each parent. Swedish-registered individuals with Swedish-registered parents had the longest life expectancy at birth, or 85.68 years (95% CI: 85.60–85.77) for females and 81.36 for males (95% CI: 81.30–81.42), as compared to 84.76 years (95% CI: 84.72–84.79) and 78.89 years (95% CI: 78.86–78.92) for Finnish-registered females and males with Finnish-registered parents. Persons with mixed backgrounds were found in between those with uniform Finnish and uniform Swedish backgrounds. An individual’s own ethnolinguistic affiliation is nevertheless more important for longevity than parental affiliation. Similar register-based analyses for other countries with mixed populations would be useful.

Mortality Paradox of Older Italian-Born Men in Australia: The Concord Health and Ageing in Men Project

Italian migrants are one of the largest groups of older migrants in Australia. Past research has found lower mortality rates in Italian migrants but it is unclear if this persists into older age. Data came from 334 Italian-born and 849 Australian-born men aged 70 years and over participating in a longitudinal study of men's ageing. Male Italian migrants were more likely to smoke, be overweight, and have lower socio-economic status (SES). They also had higher morbidity from diabetes, chronic pain, dementia and depressive symptoms but lower morbidity from heart disease and cancer. There was no age-adjusted mortality difference. However, adjusting for SES, lifestyle and morbidity differences revealed a 25% lower mortality rate (adjusted HR = 0.75; 95% CI 0.57, 0.98) in Italian-born men. Compared to their Australian-born counterparts, older Italian-born men have a lower mortality than expected considering their lower SES, higher smoking and higher morbidity.

Cancer Mortality Trends in Spain (2000-2016): Differences between Immigrant and Native Populations

Spain’s population has changed thanks to recent immigration. Therefore, a new epidemiological and demographic profile has been generated in the country. This study aims to analyze immigrant and native cancer mortality trends in Spain for the period 2000 to 2016. An ecological study of trends was carried out. Age-standardized rates of cancer mortality (ASR) and annual percentage change (APC) between groups and study sub-periods were calculated. Significant decreases in ASR were observed for cancer in both the native and the immigrant populations, in both men and women. However, in 2014–2016, there was an increase in ASR in the immigrant population compared to 2011–2013, due to the increase in ASR among immigrants from European regions. Differences in ASR by cancer between immigrant and native populations residing in Spain have been identified, both in the rate of decline and magnitude as well as by the birth region of the immigrant population. The increase observed in the cancer mortality trend at the end of the period in some immigrant groups indicates the need to monitor these indicators given the demographic, social, and economic changes.

Mortality of ethnic minority groups in the UK: a systematic review protocol

INTRODUCTION

Growing ethnic diversity in the UK has made it increasingly important to determine the presence of ethnic health inequalities. There has been no systematic review that has drawn together research on ethnic differences in mortality in the UK.

METHODS

All types of observational studies that compare all-cause mortality between major ethnic groups and the white majority population in the UK will be included. We will search Medline (OvidSP), Embase (OvidSP), Scopus and Web of Science and search the grey literature through conference proceedings and online thesis registries. Searches will be carried out from inception to 2 August 2019 with no language or other restrictions. Database searches will be repeated prior to publication to identify new articles published since the initial search. We will conduct forward and backward citation tracking of identified references and consult with experts in the field to identify further publications and ongoing or unpublished studies. Two reviewers will independently screen studies and extract data. Two reviewers will independently assess the quality of included studies using the Newcastle-Ottawa Scale. If at least two studies are located for each ethnic group and studies are sufficiently homogeneous, we will conduct a meta-analysis. If insufficient studies are located or if there is high heterogeneity we will produce a narrative summary of results.

ETHICS AND DISSEMINATION

As no primary data will be collected, formal ethical approval is not required. The findings of this review will be disseminated through publication in peer reviewed journals and conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42019146143.

Dupuytren's Disease Predicts Increased All-Cause and Cancer-Specific Mortality: Analysis of a Large Cohort from the U.K. Clinical Practice Research Datalink

BACKGROUND

Dupuytren's disease is a common, chronic, fibroproliferative disease of the palmar fascia. The cause is unclear but includes genetic predisposition alongside environmental factors. Several studies have suggested an association between Dupuytren's disease and excess mortality. The authors aimed to evaluate this association in adult patients in the United Kingdom and identify the causes of mortality.

METHODS

The authors used a large primary care database (Clinical Practice Research Datalink) linked to the Office of National Statistics to identify patients with Dupuytren's disease between January 1, 1995, and December 31, 2013. Each patient was matched by age, sex, and general practitioner to five control patients without the disease. Cox regression models were used to study the association between Dupuytren's disease and all-cause and cause-specific mortality, adjusting for confounders.

RESULTS

A total of 41,965 Dupuytren's disease patients and 209,825 control patients were identified. The all-cause mortality rate was increased in both unadjusted (hazard ratio, 1.48; 99% CI, 1.29 to 1.70; p < 0.0001) and multivariable adjusted (hazard ratio, 1.43; 99% CI, 1.25 to 1.65; p < 0.0001) models in patients with Dupuytren's disease, 12 years after diagnosis. Excess mortality was secondary to a wide range of causes, including cancer (hazard ratio, 1.66; 99% CI, 1.27 to 2.17; p < 0.0001), an effect that persisted after adjustment for confounders.

CONCLUSIONS

There is excess mortality associated with Dupuytren's disease that can be partially explained through environmental factors. From time of diagnosis in primary care, there is a 12-year window of opportunity for intervention to reduce the impact of these factors. The authors observed an increased risk of cancer mortality independent of confounders, and hypothesize a shared genetic risk between Dupuytren's disease and cancer.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, II.

Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank

BACKGROUND

Understanding of the role of ethnicity and socioeconomic position in the risk of developing SARS-CoV-2 infection is limited. We investigated this in the UK Biobank study.

METHODS

The UK Biobank study recruited 40-70-year-olds in 2006-2010 from the general population, collecting information about self-defined ethnicity and socioeconomic variables (including area-level socioeconomic deprivation and educational attainment). SARS-CoV-2 test results from Public Health England were linked to baseline UK Biobank data. Poisson regression with robust standard errors was used to assess risk ratios (RRs) between the exposures and dichotomous variables for being tested, having a positive test and testing positive in hospital. We also investigated whether ethnicity and socioeconomic position were associated with having a positive test amongst those tested. We adjusted for covariates including age, sex, social variables (including healthcare work and household size), behavioural risk factors and baseline health.

RESULTS

Amongst 392,116 participants in England, 2658 had been tested for SARS-CoV-2 and 948 tested positive (726 in hospital) between 16 March and 3 May 2020. Black and south Asian groups were more likely to test positive (RR 3.35 (95% CI 2.48-4.53) and RR 2.42 (95% CI 1.75-3.36) respectively), with Pakistani ethnicity at highest risk within the south Asian group (RR 3.24 (95% CI 1.73-6.07)). These ethnic groups were more likely to be hospital cases compared to the white British. Adjustment for baseline health and behavioural risk factors led to little change, with only modest attenuation when accounting for socioeconomic variables. Socioeconomic deprivation and having no qualifications were consistently associated with a higher risk of confirmed infection (RR 2.19 for most deprived quartile vs least (95% CI 1.80-2.66) and RR 2.00 for no qualifications vs degree (95% CI 1.66-2.42)).

CONCLUSIONS

Some minority ethnic groups have a higher risk of confirmed SARS-CoV-2 infection in the UK Biobank study, which was not accounted for by differences in socioeconomic conditions, baseline self-reported health or behavioural risk factors. An urgent response to addressing these elevated risks is required.

Ethnic variations in falls and road traffic injuries resulting in hospitalisation or death in Scotland: the Scottish Health and Ethnicity Linkage Study

Objectives

To investigate ethnic differences in falls and road traffic injuries (RTIs) in Scotland.

Study design

A retrospective cohort of 4.62 million people, linking the Scottish Census 2001, with self-reported ethnicity, to hospitalisation and death records for 2001–2013.

Methods

We selected cases with International Classification of Diseases–10 diagnostic codes for falls and RTIs. Using Poisson regression, age-adjusted risk ratios (RRs, multiplied by 100 as percentages) and 95% confidence intervals (CIs) were calculated by sex for 10 ethnic groups with the White Scottish as reference. We further adjusted for country of birth and socio-economic status (SES).

Results

During about 49 million person-years, there were 275,995 hospitalisations or deaths from fall-related injuries and 43,875 from RTIs. Compared with the White Scottish, RRs for falls were higher in most White and Mixed groups, e.g., White Irish males (RR: 131; 95% CI: 122–140) and Mixed females (126; 112–143), but lower in Pakistani males (72; 64–81) and females (72; 63–82) and African females (79; 63–99). For RTIs, RRs were higher in other White British males (161; 147–176) and females (156; 138–176) and other White males (119; 104–137) and females (143; 121–169) and lower in Pakistani females (74; 57–98). The ethnic variations differed by road user type, with few cases among non-White motorcyclists and non-White female cyclists. The RRs were minimally altered by adjustment for country of birth or SES.

Conclusion

We found important ethnic variations in injuries owing to falls and RTIs, with generally lower risks in non-White groups. Culturally related differences in behaviour offer the most plausible explanation, including variations in alcohol use. The findings do not point to the need for new interventions in Scotland at present. However, as the ethnic mix of each country is unique, other countries could benefit from similar data linkage-based research.

•

Ethnic inequalities in injuries are demonstrated in Scotland based on a large sample size and a fine ethnic granularity.

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White minority ethnic groups had the highest risks of fall-related injuries in Scotland.

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Fall-related injuries were the least likely in the Pakistani population.

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Ethnic differences in road traffic injuries varied by the type of road user.

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Ethnic differences in injuries were not explained by socio-economic status or country of birth.

Ethnicity recording in health and social care data collections in Ireland: where and how is it measured and what is it used for?

Background

In the European Union (EU), discrimination based on racial and ethnic origin is prohibited under the Racial Equality Directive. Ireland is one of only three EU countries where a legal duty of equality data collection is placed on public bodies. It provides an important context in which to study ethnic equality monitoring; however no systematic mapping of where it occurs in health information systems has been carried out. The aim of this study is to identify all existing national health and social care data collections with information on ethnicity and to explore how this data has been collected and used.

Methods

An electronic search of a national catalogue of health and social care data collections (N = 97) was carried out to identify any collections which contained information on ethnicity. Data dictionaries were searched and key informants contacted. For each of the data collections that collected information on ethnicity, data was extracted on the ethnic categories used and how this data is collected; the completeness of ethnicity recording; and other measures related to ethnicity in the data collection. Relevant outputs for these data collections, related to ethnicity, were identified through key informants and electronic searches.

Results

Of the 97 data collections, 14 (14%) collected information on ethnic or cultural background. Country of birth was collected by 10 of these 14 data collections. Most used the ethnic categories in the Census and recommended that ethnicity should be self-identified and not assigned. Reported rates of identification were generally high (≥90%). Data collections which recorded ethnicity tended to be focused on potentially high-risk populations with no routine recording in primary care. There were some examples of where ethnic equality monitoring had informed targeted interventions e.g. vaccination awareness initiatives or cultural training for healthcare staff.

Conclusions

Despite strong policy and legal imperatives, there is limited data collection of ethnicity in health and social care data collections in Ireland. While there are some examples of where differences by ethnicity have been identified and acted upon, a more coordinated and comprehensive approach to the collection, quality and utilization of ethnicity data is needed to promote health equity.

Does ethnic diversity explain intra-UK variation in mortality? A longitudinal cohort study

OBJECTIVES

It has been proposed that part of the explanation for higher mortality in Scotland compared with England and Wales, and Glasgow compared with other UK cities, relates to greater ethnic diversity in England and Wales. We sought to assess the extent to which this excess was attenuated by adjusting for ethnicity. We additionally explored the role of country of birth in any observed differences.

SETTING

Scotland and England and Wales; Glasgow and Manchester.

PARTICIPANTS

We used the Scottish Longitudinal Study and the Office for National Statistics Longitudinal Study of England and Wales (2001-2010). Participants (362 491 in total) were aged 35-74 years at baseline.

PRIMARY OUTCOME MEASURES

Risk of all-cause mortality between 35 and 74 years old in Scotland and England and Wales, and in Glasgow and Manchester, adjusting for age, gender, socioeconomic position (SEP), ethnicity and country of birth.

RESULTS

18% of the Manchester sample was non-White compared with 3% in Glasgow (England and Wales: 10.4%; Scotland: 1.2%). The mortality incidence rate ratio was 1.33 (95% CI 1.13 to 1.56) in Glasgow compared with Manchester. This reduced to 1.25 (1.07 to 1.47) adjusting for SEP, and to 1.20 (1.02 to 1.42) adjusting for ethnicity and country of birth. For Scotland versus England and Wales, the corresponding figures were 18% higher mortality, reducing to 10%, and then 7%. Non-Whites born outside the UK had lower mortality. In the Scottish samples only, non-Whites born in the UK had significantly higher mortality than Whites born in the UK.

CONCLUSIONS

The research supports the hypothesis that ethnic diversity and migration from outside UK play a role in explaining Scottish excess mortality. In Glasgow especially, however, a large excess remains: thus, previously articulated policy implications (addressing poverty, vulnerability and inequality) still apply.

Migrant health research in the Republic of Ireland: a scoping review

BACKGROUND

Migration to European countries has increased in number and diversity in recent years. Factors such as access to healthcare, language barriers and legal status can impact the health outcomes of migrant groups. However, little is known about the evidence base on the health status of migrants in the Republic of Ireland. Our aim was to scope existing peer-reviewed research on the health of migrants in Ireland and identify any gaps in the evidence.

METHODS

We conducted a scoping review of peer-reviewed research on the health of migrants in the Republic of Ireland. Eleven electronic databases were searched for peer-reviewed, empirical articles published between 2001 and 2017. Search terms were adapted from a World Health Organisation review. Findings were analysed using the 2016 World Health Organisation Strategy and Action Plan for Refugee and Migrant Health in the World Health Organisation European region, which outlines nine strategic areas that require collaborative action.

RESULTS

Of 9396 articles retrieved, 80 met inclusion criteria, with the majority (81%) published since 2009. More than half of the studies had a quantitative design (65%). Migrants studied came from Eastern Europe, Asia and Africa and included labour migrants, refugees and asylum seekers. Most studies related to two World Health Organisation strategic areas; 4: "achieving public health preparedness and ensuring an effective response", and 5: "strengthening health systems and their resilience".

CONCLUSION

There is growing attention to migrant health in Ireland with a balance of qualitative and quantitative research. While much of the identified research is relevant to three of the World Health Organisation strategic areas, there are significant gaps in the other six areas. The study design could be replicated in other countries to examine and inform migrant health research.

Exploring ethnic differences in understanding of self-rated health among persons of Turkish, Bosnian and German origin

OBJECTIVE

Self-rated health (SRH) is a widely used indictor of the subjective health status in population-based studies. However, differences in the reporting style across ethnic groups may limit the predictive ability of SRH for objective health outcomes. As part of the preparation phase of the UPWEB (understanding the practice and developing the concept of welfare bricolage) project, this study explored ethnic differences in the understanding of self-rated health among persons of Turkish, Bosnian and German origin, living in two northern Germany cities, Bremen and Hamburg.

RESULTS

Thirty persons, 10 per ethnic group, aged 32-82 years, took part in the assessment based on cognitive interviewing. All three ethnic groups defined SRH as the absence or presence of visible or non-visible disturbances and/or deviations from the norm, the ability or limited ability to act as well as the result of specific behaviours. However, only participants from the two migrant groups referred to community cohesion and religious or traditional beliefs as aspects of their SRH, indicating a systematic difference in the understanding of this question.

Ethnic Minority Health in Ireland-Co-creating knowledge (EMH-IC): a participatory health research protocol

INTRODUCTION

International policy recommends continuous, cost-effective monitoring of health data to enable health services to identify and respond to health inequities as experienced by different ethnic groups. However, there is a lack of routinely collected ethnicity data, particularly in primary care, and very little implementation research internationally to understand how ethnic identifiers are introduced, embedded and used in healthcare settings. This paper describes a protocol for a novel participatory health research project with the objective of building the evidence base on ethnic minority health in Ireland. Findings on the participatory appraisal of ethnic identifiers as an intervention to generate useful data about minority and majority ethnic groups will have relevance in other settings and countries.

METHODS AND ANALYSIS

This multidisciplinary project is designed as a participatory health research study where all stakeholders, including ethnic minority communities, participate in co-design of the research protocol, project governance, collaborative data interpretation and disseminating findings. A national catalogue of all routinely collected health data repositories will be electronically searched for any repositories that contain information on ethnicity. A secondary quantitative analysis of a population-representative cohort study, Growing Up in Ireland, will be carried out to compare the health of ethnic minority and majority groups. A qualitative case study informed by normalisation process theory will be carried out at three primary care sites to monitor the implementation of an ethnic identifier and identify barriers and levers to implementation.

ETHICS AND DISSEMINATION

Ethical approval for the qualitative case study has been granted by the Irish Council for General Practitioners (06/09/17). Permission to access data from Growing Up in Ireland has been granted by the Director General of the Central Statistics Office. Dissemination will be carried out at community events and academic conferences, in peer-reviewed journal publications, and through academic and healthcare provider networks.

Cardiovascular Diseases in India Compared With the United States

This review describes trends in the burden of cardiovascular diseases (CVDs) and risk factors in India compared with the United States; provides potential explanations for these differences; and describes strategies to improve cardiovascular health behaviors, systems, and policies in India. The prevalence of CVD in India has risen over the past 2 decades due to population growth, aging, and a stable age-adjusted CVD mortality rate. Over the same time period, the United States has experienced an overall decline in age-adjusted CVD mortality, although the trend has begun to plateau. These improvements in CVD mortality in the United States are largely due to favorable population-level risk factor trends, specifically with regard to tobacco use, cholesterol, and blood pressure, although improvements in secondary prevention and acute care have also contributed. To realize similar gains in reducing premature death and disability from CVD, India needs to implement population-level policies while strengthening and integrating its local, regional, and national health systems. Achieving universal health coverage that includes financial risk protection should remain a goal to help all Indians realize their right to health.

Assessment of health care, hospital admissions, and mortality by ethnicity: population-based cohort study of health-system performance in Scotland

Background

Ethnic minorities often experience barriers to health care. We studied six established quality indicators of health-system performance across ethnic groups in Scotland.

Methods

In this population-based cohort study, we linked ethnicity from Scotland's Census 2001 (April 29, 2001) to hospital admissions and mortality records, with follow-up until April 30, 2013. Indicators of health-system performance included amenable deaths (ie, deaths avertable by effective treatment), preventable deaths (ie, deaths avertable by public health policy), avoidable deaths (combined amenable and preventable deaths), avoidable hospital admissions, unplanned readmissions, and length of stay. We calculated rate ratios and odds ratios (with 95% CIs) using Poisson and logistic regression, which we multiplied by 100, adjusting first for age-related covariates and then for socioeconomic-related and birthplace-related covariates. The white Scottish population was the reference (rate ratio [RR] 100).

Findings

The results are based on 4·61 million people. During the 50·5 million person-years of study, 1·17 million avoidable hospital admissions, 587 740 unplanned readmissions, and 166 245 avoidable deaths occurred. South Asian groups had higher avoidable hospital admissions than the white Scottish group, with the highest reported RRs in Pakistani groups (RR 140·6 [95% CI 131·9–150·0] in men; RR 141·0 [129·0–154·1] in women). There was little variation between ethnic groups in length of stay or unplanned readmission. Preventable and amenable mortality were higher in the white Scottish group than several ethnic minorities including other white British, other white, Indian, and Chinese groups. Such differences were partly diminished by adjustment for socioeconomic status, whereas adjustment for country of birth had little additional effect.

Interpretation

These data suggest concerns about the access to and quality of primary care to prevent avoidable hospital admissions, especially for south Asians. Relatively high preventable and amenable deaths in white Scottish people, compared with several ethnic minority populations, were unexpected. Future studies should both corroborate and examine explanations for these patterns. Studies using several indicators simultaneously are also required internationally.

Funding

Chief Scientist's Office, Medical Research Council, NHS Research Scotland, Farr Institute.