Socioeconomic inequality in recent adverse all-cause mortality trends in Scotland

Taking a health economic perspective in monitoring health inequalities: A focus on excess weight

BACKGROUND

Traditional approaches to monitoring health inequalities predominantly rely on headcount methods. However, these methods fail to reflect the non-linear health economic implications of changes in disease severity. Alternative, distribution-sensitive metrics are available which could more adequately inform financial planning and policy decision making.

METHODS

We describe the design of the Foster-Greer-Thorbecke (FGT) index, and discuss its relative merits as a summary monitoring metric of health inequalities in the population, compared to the Erreygers concentration index. We illustrate the FGT index by conducting a comparative longitudinal analysis of adult excess inequalities in England using Health Survey for England data from 2009 to 2019.

FINDINGS

Excess weight inequalities have steadily increased in the English adult population, especially over the last five years. Going beyond headcount, the FGT index analyses revealed that, unlike the rest of the population, the average overweight adult from the most socio-economically deprived group is either obese (30.3 BMI for females) or at the brink of obesity (29.1 BMI for males). These results underscore a deepening divide in obesity severity between communities, with the most socioeconomically deprived groups being increasingly and disproportionally affected.

CONCLUSIONS

The FGT index can address some shortcomings of traditional approaches to inequality measurement and local governments should consider adopting it as an alternative population health metric. Future research should apply and develop more refined distribution-sensitive measures of health inequality.

Assessing the effects of population-level political, economic and social exposures, interventions and policies on inclusive economy outcomes for health equity in high-income countries: a systematic review of reviews

BACKGROUND

A fairer economy is increasingly recognised as crucial for tackling widening social, economic and health inequalities within society. However, which actions have been evaluated for their impact on inclusive economy outcomes is yet unknown.

OBJECTIVE

Identify the effects of political, economic and social exposures, interventions and policies on inclusive economy (IE) outcomes in high-income countries, by systematically reviewing the review-level evidence.

METHODS

We conducted a review of reviews; searching databases (May 2020) EconLit, Web of Science, Sociological Abstracts, ASSIA, International Bibliography of the Social Sciences, Public Health Database, Embase and MEDLINE; and registries PROSPERO, Campbell Collaboration and EPPI Centre (February 2021) and grey literature (August/September 2020). We aimed to identify reviews which examined social, political and/or economic exposures, interventions and policies in relation to two IE outcome domains: (i) equitable distribution of the benefits of the economy and (ii) equitable access to the resources needed to participate in the economy. Reviews had to include primary studies which compared IE outcomes within or between groups. Quality was assessed using a modified version of AMSTAR-2 and data synthesised informed by SWiM principles.

RESULTS

We identified 19 reviews for inclusion, most of which were low quality, as was the underlying primary evidence. Most reviews (n = 14) had outcomes relating to the benefits of the economy (rather than access to resources) and examined a limited set of interventions, primarily active labour market programmes and social security. There was limited high-quality review evidence to draw upon to identify effects on IE outcomes. Most reviews focused on disadvantaged groups and did not consider equity impacts.

CONCLUSIONS

Review-level evidence is sparse and focuses on 'corrective' approaches. Future reviews should examine a diverse set of 'upstream' actions intended to be inclusive 'by design' and consider a wider range of outcomes, with particular attention to socioeconomic inequalities.

Social security cuts and life expectancy: a longitudinal analysis of local authorities in England, Scotland and Wales

BACKGROUND

The UK Government's 'welfare reform' programme included reductions to social security payments, phased in over the financial years 2011/2012-2015/2016. Previous studies of social security cuts and health outcomes have been restricted to analysing single UK countries or single payment types (eg, housing benefit). We examined the association between all social security cuts fully implemented by 2016 and life expectancy, for local authorities in England, Scotland and Wales.

METHODS

Our unit of analysis was 201 upper tier local authorities (unitary authorities and county councils: 147 in England, 32 in Scotland, 22 in Wales). Our exposure was estimated social security loss per head of the working age population per year for each local authority, calculated against the baseline in 2010/2011. The primary outcome was annual life expectancy at birth between the calendar years 2012 and 2016 (year lagged following exposure). We used a panel regression approach with fixed effects.

RESULTS

Social security cuts implemented by 2016 were estimated to be £475 per head of the working age population in England, £390 in Scotland and £490 in Wales since 2010/2011. During the study period, there was either no improvement or only marginal increases in national life expectancy. Social security loss and life expectancy were significantly associated: an estimated £100 decrease in social security per head of working age population was associated with a 1-month reduction in life expectancy.

CONCLUSIONS

Social security cuts, at the UK local authority level, were associated with lower life expectancy. Further research should examine causality.

Trends in psychological distress in Great Britain, 1991-2019: evidence from three representative surveys

BACKGROUND

Previously improving UK mortality trends stalled around 2012, with evidence implicating economic policy as the cause. This paper examines whether trends in psychological distress across three population surveys show similar trends.

METHODS

We report the percentages reporting psychological distress (4+ in the 12-item General Health Questionnaire) from Understanding Society (Great Britain, 1991-2019), Scottish Health Survey (SHeS, 1995-2019) and Health Survey for England (HSE, 2003-2018) for the population overall, and stratified by sex, age and area deprivation. Summary inequality indices were calculated and segmented regressions fitted to identify breakpoints after 2010.

RESULTS

Psychological distress was higher in Understanding Society than in SHeS or HSE. There was slight improvement between 1992 and 2015 in Understanding Society (with prevalence declining from 20.6% to 18.6%) with some fluctuations. After 2015 there is some evidence of a worsening in psychological distress across surveys. Prevalence worsened notably among those aged 16-34 years after 2010 (all three surveys), and aged 35-64 years in Understanding Society and SHeS after 2015. In contrast, the prevalence declined in those aged 65+ years in Understanding Society after around 2008, with less clear trends in the other surveys. The prevalence was around twice as high in the most deprived compared with the least deprived areas, and higher in women, with trends by deprivation and sex similar to the populations overall.

CONCLUSION

Psychological distress worsened among working-age adults after around 2015 across British population surveys, mirroring the mortality trends. This indicates a widespread mental health crisis that predates the COVID-19 pandemic.

Evaluating the impact of alcohol minimum unit pricing on deaths and hospitalisations in Scotland: a controlled interrupted time series study

BACKGROUND

Since May 1, 2018, every alcoholic drink sold in Scotland has had minimum unit pricing (MUP) of £0·50 per unit. Previous studies have indicated that the introduction of this policy reduced alcohol sales by 3%. We aimed to assess whether this has led to reductions in alcohol-attributable deaths and hospitalisations.

METHODS

Study outcomes, wholly attributable to alcohol consumption, were defined using routinely collected data on deaths and hospitalisations. Controlled interrupted time series regression was used to assess the legislation's impact in Scotland, and any effect modification across demographic and socioeconomic deprivation groups. The pre-intervention time series ran from Jan 1, 2012, to April 30, 2018, and for 32 months after the policy was implemented (until Dec 31, 2020). Data from England, a part of the UK where the intervention was not implemented, were used to form a control group.

FINDINGS

MUP in Scotland was associated with a significant 13·4% reduction (95% CI -18·4 to -8·3; p=0·0004) in deaths wholly attributable to alcohol consumption. Hospitalisations wholly attributable to alcohol consumption decreased by 4·1% (-8·3 to 0·3; p=0·064). Effects were driven by significant improvements in chronic outcomes, particularly alcoholic liver disease. Furthermore, MUP legislation was associated with a reduction in deaths and hospitalisations wholly attributable to alcohol consumption in the four most socioeconomically deprived deciles in Scotland.

INTERPRETATION

The implementation of MUP legislation was associated with significant reductions in deaths, and reductions in hospitalisations, wholly attributable to alcohol consumption. The greatest improvements were in the four most socioeconomically deprived deciles, indicating that the policy is positively tackling deprivation-based inequalities in alcohol-attributable health harm.

FUNDING

Scottish Government.

Assessing the risk of endogeneity bias in health and mortality inequalities research using composite measures of multiple deprivation which include health-related indicators: A case study using the Scottish Index of Multiple Deprivation and population health and mortality data

The inclusion of health-related indicators in composite measures of multiple deprivation introduces a risk of endogeneity bias when using the latter in health inequalities research. This bias may ultimately result in the inappropriate allocation of healthcare resources and maintenance of preventable health inequalities. Mitigation strategies to avoid this bias include removing the health-related indicators or using single constituent domains (such as income or employment class) in isolation. These strategies have not been widely validated. This study used population-level health and mortality data with a contemporary composite measure of multiple deprivation (Scottish Index of Multiple Deprivation; SIMD) to assess these mitigation strategies. The differences between deprivation methods (original, health excluded, and income domain) were negligible. The results of quantitative research on health inequalities are unlikely to be affected by endogeneity bias.

How much of the stalled mortality trends in Scotland and England can be attributed to obesity?

OBJECTIVES

The rate of improvement in all-cause mortality rates has slowed in the UK since around 2012. While evidence suggests that UK Government 'austerity' policies have been largely responsible, it has been proposed that rising obesity may also have contributed. The aim here was to estimate this contribution for Scotland and England.

METHODS

We calculated population attributable fractions (PAFs) resulting from changes in Body Mass Index (BMI) between the mid-1990s and late 2000s for all-cause mortality among 35-89-year olds in 2017-2019. We used BMI data from national surveys (the Scottish Health Survey and the Health Survey for England), and HRs from a meta-analysis of 89 European studies. PAFs were applied to mortality data for 2017-2019 (obtained from national registries), enabling comparison of observed rates, BMI-adjusted rates and projected rates. Uncertainty in the estimates is dominated by the assumptions used and biases in the underlying data, rather than random variation. A series of sensitivity analyses and bias assessments were therefore undertaken to understand the certainty of the estimates.

RESULTS

In Scotland, an estimated 10% (males) and 14% (females) of the difference between observed and predicted mortality rates in 2017-2019 may be attributable to previous changes in BMI. The equivalent figures for England were notably higher: 20% and 35%, respectively. The assessments of bias suggest these are more likely to be overestimates than underestimates.

CONCLUSIONS

Some of the recent stalled mortality trends in Scotland and England may be associated with earlier increases in obesity. Policies to reduce the obesogenic environment, including its structural and commercial determinants, and reverse the impacts of austerity, are needed.

Bearing the burden of austerity: how do changing mortality rates in the UK compare between men and women?

BACKGROUND

Mortality rates across the UK stopped improving in the early 2010s, largely attributable to UK Government's 'austerity' policies. Such policies are thought to disproportionately affect women in terms of greater financial impact and loss of services. The aim here was to investigate whether the mortality impact of austerity-in terms of when rates changed and the scale of excess deaths-has also been worse for women.

METHODS

All-cause mortality data by sex, age, Great Britain (GB) nation and deprivation quintile were obtained from national agencies. Trends in age-standardised mortality rates were calculated, and segmented regression analyses used to identify break points between 1981 and 2019. Excess deaths were calculated for 2012-2019 based on comparison of observed deaths with numbers predicted by the linear trend for 1981-2011.

RESULTS

Changes in trends were observed for both men and women, especially for those living in the 20% most deprived areas. In those areas, mortality increased between 2010/2012 and 2017/2019 among women but not men. Break points in trends occurred at similar time points. Approximately 335 000 more deaths occurred between 2012 and 2019 than was expected based on previous trends, with the excess greater among men.

CONCLUSIONS

It remains unclear whether there are sex differences in UK austerity-related health effects. Nonetheless, this study provides further evidence of adverse trends in the UK and the associated scale of excess deaths. There is a clear need for such policies to be reversed, and for policies to be implemented to protect the most vulnerable in society.

Is austerity a cause of slower improvements in mortality in high-income countries? A panel analysis

BACKGROUND

The rate of improvement in mortality slowed across many high-income countries after 2010. Following the 2007-08 financial crisis, macroeconomic policy was dominated by austerity as countries attempted to address perceived problems of growing state debt and government budget deficits. This study estimates the impact of austerity on mortality trends for 37 high-income countries between 2000 and 2019.

METHODS

We fitted a suite of fixed-effects panel regression models to mortality data (period life expectancy, age-standardised mortality rates (ASMRs), age-stratified mortality rates and lifespan variation). Austerity was measured using the Alesina-Ardagna Fiscal Index (AAFI), Cyclically-Adjusted Primary Balance (CAPB), real indexed Government Expenditure, and Public Social Spending as a % of GDP. Sensitivity analyses varied the lag times, and confined the panel to economic downturns and to non-oil-dominated economies.

RESULTS

Slower improvements, or deteriorations, in life expectancy and mortality trends were seen in the majority of countries, with the worst trends in England & Wales, Estonia, Iceland, Scotland, Slovenia, and the USA, with generally worse trends for females than males. Austerity was implemented across all countries for at least some time when measured by AAFI and CAPB, and for many countries across all four measures (and particularly after 2010). Austerity adversely impacted life expectancy, ASMR, age-specific mortality and lifespan variation trends when measured with Government Expenditure, Public Social Spending and CAPB, but not with AAFI. However, when the dataset was restricted to periods of economic downturn and in economies not dominated hydrocarbon production, all measures of austerity were found to reduce the rate of mortality improvement.

INTERPRETATION

Stalled mortality trends and austerity are widespread phenomena across high-income countries. Austerity is likely to be a cause of stalled mortality trends. Governments should consider alternative economic policy approaches if these harmful population health impacts are to be avoided.

Large socioeconomic gap in period life expectancy and life years spent with complications of diabetes in the Scottish population with type 1 diabetes, 2013-2018

BACKGROUND

We report the first study to estimate the socioeconomic gap in period life expectancy (LE) and life years spent with and without complications in a national cohort of individuals with type 1 diabetes.

METHODS

This retrospective cohort study used linked healthcare records from SCI-Diabetes, the population-based diabetes register of Scotland. We studied all individuals aged 50 and older with a diagnosis of type 1 diabetes who were alive and residing in Scotland on 1 January 2013 (N = 8591). We used the Scottish Index of Multiple Deprivation (SIMD) 2016 as an area-based measure of socioeconomic deprivation. For each individual, we constructed a history of transitions by capturing whether individuals developed retinopathy/maculopathy, cardiovascular disease, chronic kidney disease, and diabetic foot, or died throughout the study period, which lasted until 31 December 2018. Using parametric multistate survival models, we estimated total and state-specific LE at an attained age of 50.

RESULTS

At age 50, remaining LE was 22.2 years (95% confidence interval (95% CI): 21.6 - 22.8) for males and 25.1 years (95% CI: 24.4 - 25.9) for females. Remaining LE at age 50 was around 8 years lower among the most deprived SIMD quintile when compared with the least deprived SIMD quintile: 18.7 years (95% CI: 17.5 - 19.9) vs. 26.3 years (95% CI: 24.5 - 28.1) among males, and 21.2 years (95% CI: 19.7 - 22.7) vs. 29.3 years (95% CI: 27.5 - 31.1) among females. The gap in life years spent without complications was around 5 years between the most and the least deprived SIMD quintile: 4.9 years (95% CI: 3.6 - 6.1) vs. 9.3 years (95% CI: 7.5 - 11.1) among males, and 5.3 years (95% CI: 3.7 - 6.9) vs. 10.3 years (95% CI: 8.3 - 12.3) among females. SIMD differences in transition rates decreased marginally when controlling for time-updated information on risk factors such as HbA1c, blood pressure, BMI, or smoking.

CONCLUSIONS

In addition to societal interventions, tailored support to reduce the impact of diabetes is needed for individuals from low socioeconomic backgrounds, including access to innovations in management of diabetes and the prevention of complications.

Trends in healthy life expectancy in the age of austerity

BACKGROUND

Worrying changes in life expectancy trends have been observed recently in the UK, largely attributed to austerity policies introduced over the last decade. To incorporate changes to quality, rather than just length of, life, our aim was to describe trends in healthy life expectancy (HLE) for the relevant period.

METHODS

In the absence of available long-term trends, we calculated new estimates of HLE for Scotland for the period 1995-2019, using standard HLE methodologies based on mortality and national survey data, and stratified by sex and socioeconomic deprivation.

RESULTS

Overall, male and female HLE increased markedly between 1995 and 2009, but then decreased by approximately 2 years between 2011 and 2019. A decline was observed for the most and least deprived groups, but this was larger for those living in the 20% most deprived areas, where the decrease was 3.5 years.

CONCLUSIONS

Our findings are further evidence of changing levels of pre-pandemic population health in the UK. An increasing body of UK and international evidence have attributed these changes to UK Government austerity policies. There is an urgent need, therefore, to reverse cuts to social security and protect the income and health of the poorest across all of the UK.

Measuring disability-adjusted life years (DALYs) due to COVID-19 in Scotland, 2020

BACKGROUND

Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality and can enable comprehensive, and comparable, assessments of direct and indirect health harms due to COVID-19. Our aim was to estimate DALYs directly due to COVID-19 in Scotland, during 2020; and contextualise its population impact relative to other causes of disease and injury.

METHODS

National deaths and daily case data were used. Deaths were based on underlying and contributory causes recorded on death certificates. We calculated DALYs based on the COVID-19 consensus model and methods outlined by the European Burden of Disease Network. DALYs were presented as a range, using a sensitivity analysis based on Years of Life Lost estimates using: cause-specific; and COVID-19 related deaths. All COVID-19 estimates were for 2020.

RESULTS

In 2020, estimates of COVID-19 DALYs in Scotland ranged from 96,500 to 108,200. Direct COVID-19 DALYs were substantial enough to be framed as the second leading cause of disease and injury, with only ischaemic heart disease having a larger impact on population health. Mortality contributed 98% of total DALYs.

CONCLUSIONS

The direct population health impact of COVID-19 has been very substantial. Despite unprecedented mitigation efforts, COVID-19 developed from a single identified case in early 2020 to a condition with an impact in Scotland second only to ischaemic heart disease. Periodic estimation of DALYs during 2021, and beyond, will provide indications of the impact of DALYs averted due to the national rollout of the vaccination programme and other continued mitigation efforts, although new variants may pose significant challenges.

Excess mortality in Glasgow: further evidence of 'political effects' on population health

OBJECTIVES

The aim of the study was to update previous analyses of 'excess mortality' in Glasgow (Scotland) relative to the similar postindustrial cities of Liverpool and Manchester (England). The excess is defined as mortality after adjustment for socio-economic deprivation; thus, we sought to compare changes over time in both the deprivation profiles of the cities and the levels of deprivation-adjusted mortality in Glasgow relative to the other cities. This is important not only because the original analyses are now increasingly out of date but also because since publication, important (prepandemic) changes to mortality trends have been observed across all parts of the United Kingdom.

STUDY DESIGN AND METHODS

Replicating as far as possible the methods of the original study, we developed a three-city deprivation index based on the creation of spatial units in Glasgow that were of similar size to those in Liverpool and Manchester (average population sizes of approximately 1600, 1500 and 1700 respectively) and an area-based measure of 'employment deprivation'. Mortality and matching population data by age, sex and small area were obtained from national agencies for two periods: 2003-2007 (the period covered by the original study) and 2014-2018. The rates of employment deprivation for each city's small areas were calculated for both periods. Indirectly standardised mortality ratios (SMRs) were calculated for Glasgow relative to Liverpool and Manchester, standardised by age and three-city deprivation decile. For context, city-level trends in age-standardised mortality rates by year, sex and city were also calculated.

RESULTS

There was evidence of a stalling of improvement in mortality rates in all three cities from the early 2010s. After adjustment for area deprivation, all-cause mortality in Glasgow in 2014-2018 was c.12% higher than in Liverpool and Manchester for all ages (SMR 112.4, 95% CI 111.1-113.6) and c.17% higher for deaths under 65 years (SMR 117.1, 95% CI 114.5-119.7). The excess was higher for males (17% compared with 9% for deaths at all ages; 25% compared with 5% for 0-64 years) and for particular causes of death such as suicide and drug-related and alcohol-related causes. The results were broadly similar to those previously described for 2003-2007, although the excess for premature mortality was notably lower. In part, this was explained by changes in levels of employment deprivation, which had decreased to a greater degree in the English cities: this was particularly true of Manchester (a reduction of -43%, compared with -38% in Liverpool and -31% in Glasgow) where the overall population size had also increased to a much greater extent than in the other cities.

CONCLUSIONS

High levels of excess mortality persist in Glasgow. With the political causes recently established - the excess is a 'political effect', not a 'Glasgow effect' - political solutions are required. Thus, previously published recommendations aimed at addressing poverty, inequality and vulnerability in the city are still highly relevant. However, given the evidence of more recent, UK-wide, political effects on mortality - widening mortality inequalities resulting from UK Government 'austerity' measures - additional policies at UK Government level to protect, and restore, the income of the poorest in society are also urgently needed.

Increasing drug-related mortality rates over the last decade in Scotland are not just due to an ageing cohort: A retrospective longitudinal cohort study

BACKGROUND

In Europe, North America, and Australia, mortality due to drug-related (DR) causes amongst people who inject drugs (PWID) is a major issue. Our objective was to characterise temporal trends in DR mortality rates in a large cohort of PWID in Scotland over the past decade, all of whom had been diagnosed with hepatitis C virus (HCV) infection, and to investigate factors associated with DR mortality.

METHODS

Retrospective longitudinal cohort study linking Scotland's national HCV Diagnosis Database and deaths registry. The study cohort consisted of all individuals with likely injection drug use-related route of HCV acquisition, who had been diagnosed with HCV between 1991 and 2018, and were alive and aged under 65 years on 1 January 2009. We used Lexis expansion to adjust for ageing cohort effects and calculated the mortality rate from an underlying/contributing DR cause over the period 2009-2018. We fitted Poisson regression models to estimate the temporal trend adjusting for attained age, sex, referral setting, region, and viraemic status at baseline.

RESULTS

Amongst the study population (n = 35,065; 236,914 person-years), a total of 1900 DR deaths occurred; the DR mortality rate increased from 5.6/1000 [101 deaths] in 2009 to 12.4/1000 [342] person-years in 2018. Increasing trends were observed for all age-groups except 55-64 years. The overall DR mortality rate was highest for referrals for HCV testing from prison (11.0/1000) and hospital settings (10.0/1000). Mortality increased with calendar time period, with significantly raised adjusted rate ratios (RRs) from 2015 (RR=1.40, 95% CI:1.16-1.69) to 2018 (RR=2.23, 95% CI:1.88-2.64), compared with 2011-2012, for older age (35-44: RR=1.37, 95% CI:1.20-1.56; 45-54: RR=1.32, CI:1.14-1.53) compared with <35 years, for persons diagnosed with HCV since 2009 (RR=1.34, 95% CI:1.21-1.49), and for prison and hospital referrals (RRs of 1.30, 1.37) compared with GP referrals.

CONCLUSION

Increasing DR mortality rates in Scotland over the past decade are not just due to an ageing cohort. Harm reduction services will likely need to expand and adapt to reverse the recent upward trends in DR mortality in PWID.

Inequalities in population health loss by multiple deprivation: COVID-19 and pre-pandemic all-cause disability-adjusted life years (DALYs) in Scotland

BACKGROUND

COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following this same, familiar, pattern. Our aim was to estimate inequalities in the population health impact of COVID-19 in Scotland, measured by disability-adjusted life years (DALYs) in 2020. Our secondary aim was to scale overall, and inequalities in, COVID-19 DALYs against the level of pre-pandemic inequalities in all-cause DALYs, derived from the Scottish Burden of Disease (SBoD) study.

METHODS

National deaths and daily case data were input into the European Burden of Disease Network consensus model to estimate DALYs. Total Years of Life Lost (YLL) were estimated for each area-based deprivation quintile of the Scottish population. Years Lived with Disability were proportionately distributed to deprivation quintiles, based on YLL estimates. Inequalities were measured by: the range, Relative Index of Inequality (RII), Slope Index of Inequality (SII), and attributable DALYs were estimated by using the least deprived quintile as a reference.

RESULTS

Marked inequalities were observed across several measures. The SII range was 2048 to 2289 COVID-19 DALYs per 100,000 population. The rate in the most deprived areas was around 58% higher than the mean population rate (RII = 1.16), with 40% of COVID-19 DALYs attributed to differences in area-based deprivation. Overall DALYs due to COVID-19 ranged from 7 to 20% of the annual pre-pandemic impact of inequalities in health loss combined across all causes.

CONCLUSION

The substantial population health impact of COVID-19 in Scotland was not shared equally across areas experiencing different levels of deprivation. The extent of inequality due to COVID-19 was similar to averting all annual DALYs due to diabetes. In the wider context of population health loss, overall ill-health and mortality due to COVID-19 was, at most, a fifth of the annual population health loss due to inequalities in multiple deprivation. Implementing effective policy interventions to reduce health inequalities must be at the forefront of plans to recover and improve population health.

COVID-19: decision-making in public health

Against a background of stalling UK life expectancy, the COVID-19 pandemic necessitated a different way of working for public health to respond quickly to new and many demands. At the same time, public health teams had to ensure they did not concentrate on the immediate crisis at the expense of mitigating longer-term impacts of the pandemic. This was, and is, a major challenge with additional demands on an already hard-pressed workforce. This paper discusses the experience of a local public health department in responding to the pandemic and raises four key areas that influenced decisions and need to be considered in future. These are care homes issues, addressing all four harms of the pandemic, lessons for behaviour change and the need to strengthen Scotland's public health workforce.

Deaths from 'diseases of despair' in Britain: comparing suicide, alcohol-related and drug-related mortality for birth cohorts in Scotland, England and Wales, and selected cities

Background

The contribution of increasing numbers of deaths from suicide, alcohol-related and drug-related causes to changes in overall mortality rates has been highlighted in various countries. In Scotland, particular vulnerable cohorts have been shown to be most at risk; however, it is unclear to what extent this applies elsewhere in Britain. The aim here was to compare mortality rates for different birth cohorts between Scotland and England and Wales (E&W), including key cities.

Methods

Mortality and population data (1981–2017) for Scotland, E&W and 10 cities were obtained from national statistical agencies. Ten-year birth cohorts and cohort-specific mortality rates (by age of death, sex, cause) were derived and compared between countries and cities.

Results

Similarities were observed between countries and cities in terms of peak ages of death, and the cohorts with the highest death rates. However, cohort-specific rates were notably higher in Scotland, particularly for alcohol-related and drug-related deaths. Across countries and cities, those born in 1965–1974 and 1975–1984 had the highest drug-related mortality rates (peak age at death: 30–34 years); the 1965–1974 birth cohort also had the highest male suicide rate (peak age: 40–44 years). For alcohol-related causes, the highest rates were among earlier cohorts (1935–1944, 1945–1954, 1955–1964)—peak age 60–64 years.

Conclusions

The overall similarities suggest common underlying influences across Britain; however, their effects have been greatest in Scotland, confirming greater vulnerability among that population. In addressing the socioeconomic drivers of deaths from these causes, the cohorts identified here as being at greatest risk require particular attention.

Can Scotland achieve its aim of narrowing health inequalities in a post-pandemic world?

In this commentary we explore the potential for the devolved Scottish Government to achieve its stated aim of narrowing health - and broader societal (including economic) - inequalities within both the restrictions of limited devolved powers, and in the context of post-pandemic uncertainty. We do so by focussing on two questions: first, where were we with regards to inequalities policy in Scotland before the pandemic? And second, what are the likely implications of the pandemic for inequalities, and inequalities policymaking, in the country?

Changing mortality trends in countries and cities of the UK: a population-based trend analysis

OBJECTIVES

Previously improving life expectancy and all-cause mortality in the UK has stalled since the early 2010s. National analyses have demonstrated changes in mortality rates for most age groups and causes of death, and with deprived populations most affected. The aims here were to establish whether similar changes have occurred across different parts of the UK (countries, cities), and to examine cause-specific trends in more detail.

DESIGN

Population-based trend analysis.

PARTICIPANTS/SETTING

Whole populations of countries and selected cities of the UK.

PRIMARY AND SECONDARY OUTCOME MEASURES

European age-standardised mortality rates (calculated by cause of death, country, city, year (1981-2017), age group, sex and-for all countries and Scottish cities-deprivation quintiles); changes in rates between 5-year periods; summary measures of both relative (relative index of inequality) and absolute (slope index of inequality) inequalities.

RESULTS

Changes in mortality from around 2011/2013 were observed throughout the UK for all adult age groups. For example, all-age female rates decreased by approximately 4%-6% during the 1980s and 1990s, approximately 7%-9% during the 2000s, but by <1% between 2011/2013 and 2015/2017. Equivalent figures for men were 4%-7%, 8%-12% and 1%-3%, respectively. This later period saw increased mortality among the most deprived populations, something observed in all countries and cities analysed, and for most causes of death: absolute and relative inequalities therefore increased. Although similar trends were seen across all parts of the UK, particular issues apply in Scotland, for example, higher and increasing drug-related mortality (with the highest rates observed in Dundee and Glasgow).

CONCLUSIONS

The study presents further evidence of changing mortality in the UK. The timing, geography and socioeconomic gradients associated with the changes appear to support suggestions that they may result, at least in part, from UK Government 'austerity' measures which have disproportionately affected the poorest.

A National Registry Study of Patient and Renal Survival in Adult Nephrotic Syndrome

Introduction

We aimed to determine the mortality rate, cause of death, and rate of end-stage kidney disease (ESKD) in adults with nephrotic syndrome (NS).

Methods

We conducted a national registry–based study, including all 522 adults who had a kidney biopsy for NS in Scotland in 2014–2017. We linked the Scottish Renal Registry to death certificate data. We performed survival and Cox proportional hazards analyses, accounting for competing risks of death and ESKD. We compared mortality rates with those in the age- and sex-matched general population.

Results

A total of 372 patients had primary NS; 150 had secondary NS. Over a median follow-up of 866 days, 110 patients (21%) died. In patients with primary NS, observed versus population 3-year mortality was 2.1% (95% CI 0.0%–4.6%) versus 0.9% (0.8%–1.0%) in patients aged <60 years and 24.9% (18.4%–30.8%) versus 9.4% (8.3%–10.5%) in those aged ≥60 years. In secondary NS, this discrepancy was 17.1% (5.6%–27.2%) versus 1.1% (0.9%–1.2%) in <60-year-olds and 49.4% (36.6%–59.7%) versus 8.1% (6.6%–9.6%) in ≥60-year-olds. In primary NS, cardiovascular causes accounted for 28% of deaths, compared with 18% in the general population. Eighty patients (15%) progressed to ESKD. Incidence of ESKD by 3 years was 8.4% (95% CI 4.9%–11.7%) in primary and 35.1% (24.3%–44.5%) in secondary NS. Early remission of proteinuria and the absence of early acute kidney injury (AKI) were associated with lower rates of death and ESKD.

Conclusions

Adults with NS have high rates of death and ESKD. Cardiovascular causes account for excess mortality in primary NS.

How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000-2002 to 2015-2017

OBJECTIVE

Annual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000-2002 to 2012-2014 and 2012-2014 to 2015-2017.

SETTING

Scotland.

METHODS

Life expectancy at birth was calculated from death and population counts, disaggregated by 5 year age group and by underlying cause of death. Arriaga's method of life expectancy decomposition was applied to produce estimates of the contribution of different age groups and underlying causes to changes in life expectancy at birth for the two periods.

RESULTS

Annualised gains in life expectancy between 2012-2014 and 2015-2017 were markedly smaller than in the earlier period. Almost all age groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012-2014 and 2015-2017. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55-84 years, more than halved. Mortality rates for those aged 30-54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer's disease, respectively.

CONCLUSION

Future research should seek to explain the changes in mortality trends for all age groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks.

The Impact of Regeneration and Climate Adaptations of Urban Green-Blue Assets on All-Cause Mortality: A 17-Year Longitudinal Study

Urban waterways are underutilised assets, which can provide benefits ranging from climate-change mitigation and adaptation (e.g., reducing flood risks) to promoting health and well-being in urban settings. Indeed, urban waterways provide green and blue spaces, which have increasingly been associated with health benefits. The present observational study used a unique 17-year longitudinal natural experiment of canal regeneration from complete closure and dereliction in North Glasgow in Scotland, U.K. to explore the impact of green and blue canal assets on all-cause mortality as a widely used indicator of general health and health inequalities. Official data on deaths and socioeconomic deprivation for small areas (data zones) for the period 2001–2017 were analysed. Distances between data zone population-weighted centroids to the canal were calculated to create three 500 m distance buffers. Spatiotemporal associations between proximity to the canal and mortality were estimated using linear mixed models, unadjusted and adjusted for small-area measures of deprivation. The results showed an overall decrease in mortality over time (β = −0.032, 95% confidence interval (CI) [−0.046, −0.017]) with a closing of the gap in mortality between less and more affluent areas. The annual rate of decrease in mortality rates was largest in the 0–500 m buffer zone closest to the canal (−3.12%, 95% CI [−4.50, −1.73]), with smaller decreases found in buffer zones further removed from the canal (500–1000 m: −3.01%, 95% CI [−6.52, 0.62]), and 1000–1500 m: −1.23%, 95% CI [−5.01, 2.71]). A similar pattern of results was found following adjustment for deprivation. The findings support the notion that regeneration of disused blue and green assets and climate adaptions can have a positive impact on health and health inequalities. Future studies are now needed using larger samples of individual-level data, including environmental, socioeconomic, and health variables to ascertain which specific elements of regeneration are the most effective in promoting health and health equity.

How bad are life expectancy trends across the UK, and what would it take to get back to previous trends?

Background

Within the UK, there has been debate on whether life expectancy is increasing or decreasing in particular single or 3-year periods, but there has been less thinking whether overall trends have changed. This paper considers the extent to which the trends in life expectancy for the UK and its nations have changed before and after 2011.

Methods

We used the Office for National Statistics period life expectancy data for the UK and its nations. We used Lee’s approach to project life expectancy based on repeated sampling of year-to-year change in the baseline periods (1990–2011 and 1980–2011) and applied that to 2012 onwards.

Findings

Improvements in period life expectancy were substantially and consistently lower between 2012 and 2018 than predicted from the trends from 1980 and, especially, from 1990. By 2018, life expectancy was lower than projected for females and males, respectively, by 1.22 and 1.52 years (England), 1.44 and 0.95 years (Northern Ireland), 1.30 and 1.44 years (Scotland), 1.53 and 1.63 years (Wales) and 1.24 and 1.49 years (UK overall), based on the 1990–2011 baseline period. Using a longer baseline period, which includes the slower rates of improvement during the 1980s, slightly reduces the gap between the current life expectancies and the projected medians.

Interpretation

Future academic and policy focus should be on the deviation of the life expectancy trends from the baseline projection rather than on year-to-year variation. Concerted policy focus to return life expectancy to the projected trends is now urgently required.

Prevalence of secondary care multimorbidity in mid-life and its association with premature mortality in a large longitudinal cohort study

OBJECTIVES

Multimorbidity is the coexistence of two or more health conditions in an individual. Multimorbidity in younger adults is increasingly recognised as an important challenge. We assessed the prevalence of secondary care multimorbidity in mid-life and its association with premature mortality over 15 years of follow-up, in the Aberdeen Children of the 1950s (ACONF) cohort.

METHOD

A prospective cohort study using linked electronic health and mortality records. Scottish ACONF participants were linked to their Scottish Morbidity Record hospital episode data and mortality records. Multimorbidity was defined as two or more conditions and was assessed using healthcare records in 2001 when the participants were aged between 45 and 51 years. The association between multimorbidity and mortality over 15 years of follow-up (to ages 60-66 years) was assessed using Cox proportional hazards regression. There was also adjustment for key covariates: age, gender, social class at birth, intelligence at age 7, secondary school type, educational attainment, alcohol, smoking, body mass index and adult social class.

RESULTS

Of 9625 participants (51% males), 3% had multimorbidity. The death rate per 1000 person-years was 28.4 (95% CI 23.2 to 34.8) in those with multimorbidity and 5.7 (95% CI 5.3 to 6.1) in those without. In relation to the reference group of those with no multimorbidity, those with multimorbidity had a mortality HR of 4.5 (95% CI 3.4 to 6.0) over 15 years and this association remained when fully adjusted for the covariates (HR 2.5 (95% CI 1.5 to 4.0)).

CONCLUSION

Multimorbidity prevalence was 3% in mid-life when measured using secondary care administrative data. Multimorbidity in mid-life was associated with premature mortality.

Trends in disease incidence and survival and their effect on mortality in Scotland: nationwide cohort study of linked hospital admission and death records 2001-2016

OBJECTIVES

Identify causes and future trends underpinning Scottish mortality improvements and quantify the relative contributions of disease incidence and survival.

DESIGN

Population-based study.

SETTING

Linked secondary care and mortality records across Scotland.

PARTICIPANTS

1 967 130 individuals born between 1905 and 1965 and resident in Scotland from 2001 to 2016.

MAIN OUTCOME MEASURES

Hospital admission rates and survival within 5 years postadmission for 28 diseases, stratified by sex and socioeconomic status.

RESULTS

'Influenza and pneumonia', 'Symptoms and signs involving circulatory and respiratory systems' and 'Malignant neoplasm of respiratory and intrathoracic organs' were the hospital diagnosis groupings associated with most excess deaths, being both common and linked to high postadmission mortality. Using disease trends, we modelled a mean mortality HR of 0.737 (95% CI 0.730 to 0.745) from one decade of birth to the next, equivalent to a life extension of ~3 years per decade. This improvement was 61% (30%-93%) accounted for by improved disease survival after hospitalisation (principally cancer) with the remainder accounted for by lowered hospitalisation incidence (principally heart disease and cancer). In contrast, deteriorations in infectious disease incidence and survival increased mortality by 9% (~3.3 months per decade). Disease-driven mortality improvements were slightly greater for men than women (due to greater falls in disease incidence), and generally similar across socioeconomic deciles. We project mortality improvements will continue over the next decade but slow by 21% because much progress in disease survival has already been achieved.

CONCLUSION

Morbidity improvements broadly explain observed mortality improvements, with progress on prevention and treatment of heart disease and cancer contributing the most. The male-female health gaps are closing, but those between socioeconomic groups are not. Slowing improvements in morbidity may explain recent stalling in improvements of UK period life expectancies. However, these could be offset if we accelerate improvements in the diseases accounting for most deaths and counteract recent deteriorations in infectious disease.

Is austerity responsible for the recent change in mortality trends across high-income nations? A protocol for an observational study

INTRODUCTION

Mortality rates in many high-income countries have changed from their long-term trends since around 2011. This paper sets out a protocol for testing the extent to which economic austerity can explain the variance in recent mortality trends across high-income countries.

METHODS AND ANALYSIS

This is an ecological natural experiment study, which will use regression adjustment to account for differences in exposure, outcomes and confounding. All high-income countries with available data will be included in the sample. The timing of any changes in the trends for four measures of austerity (the Alesina-Ardagna Fiscal Index, real per capita government expenditure, public social spending and the cyclically adjusted primary balance) will be identified and the cumulative difference in exposure to these measures thereafter will be calculated. These will be regressed against the difference in the mean annual change in life expectancy, mortality rates and lifespan variation compared with the previous trends, with an initial lag of 2 years after the identified change point in the exposure measure. The role of underemployment and individual incomes as outcomes in their own right and as mediating any relationship between austerity and mortality will also be considered. Sensitivity analyses varying the lag period to 0 and 5 years, and adjusting for recession, will be undertaken.

ETHICS AND DISSEMINATION

All of the data used for this study are publicly available, aggregated datasets with no individuals identifiable. There is, therefore, no requirement for ethical committee approval for the study. The study will be lodged within the National Health Service research governance system. All results of the study will be published following sharing with partner agencies. No new datasets will be created as part of this work for deposition or curation.