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The chapter suggests two methodologies to measure inequality of opportunity in health in Israel, an ex-ante and an ex-post approach. In both cases, following the strategy recently suggested by Trannoy, Tubeuf, Jusot, and Devaux (2010), the chapter starts by introducing the production function of health, taking into account circumstances (the father’s years of education, his country of birth, the religion of the individual, his or her country of birth, age and gender) as well as effort variables (the level of education of the individual, his or her occupation and a variable describing his or her smoking habits).

The chapter also suggests then a decomposition of the overall health inequality into a legitimate and an illegitimate component, using the mean logarithmic deviation as inequality index, such a breakdown being applied to both the ex-ante and the ex-post approaches to equality of opportunity.

This chapter addresses inequalities in the United Kingdom through the lens of health inequalities. Driven by inequalities in income and power, health inequalities represent a microcosm of wider debates on inequalities. They also play a role as the more politically unacceptable face of inequalities – where other types of inequality are more blatantly argued as collateral damage of advanced neoliberalism including ‘inevitable’ austerity measures, politicians are more squeamish about discussing health inequalities in these terms.

The chapter starts by depicting health inequalities in Scotland and summarises health policy analyses of the causes of, and solutions to, health inequalities. It then describes the concept of ‘proportionate’ universalism’ and sets this within the context of debates around universal versus targeted welfare provision in times of fiscal austerity.

It then turns to a small empirical case-study which investigates these tensions within the Scottish National Health Service. The study asks those operating at policy and practice levels: how is proportionate universalism understood; and, is it a threat or ballast to universal welfare provision?

Findings are discussed within the political context of welfare retrenchment, and in terms of meso- and micro-practices. We conclude that there are three levels at which proportionate universalism needs to be critiqued as a means of mitigating the impacts of inequalities in the social determinants of health. These are within the political arenas, at a policy and planning level and at the practice level where individual practitioners are enabled or not to practice in ways that might mitigate existing inequalities.

The purpose of this research is to identify novel ways of tackling health inequalities of underserved populations. It explores the opportunities presented by the changes in health and social care legislation to employ historically underused services, such as police custody healthcare providers, in addressing health inequalities.

This research analyses the policy approaches to tackling health inequalities in the UK in the past 40 years with an emphasis on those experienced by the people detained in English police custodies. It analyses the current model of healthcare in police custody and proposes a novel integrated model of care and joint commissioning opportunities in funding it.

Policies to tackle health inequalities have largely failed, as they became entrenched. But recent changes in the health and social care legislation in England offer opportunities to address them by employing historically underused healthcare services, such as those operating in police custodies.

The research does not touch upon ethical considerations related to the patient privacy aspect of integrated care. Interventions by and interactions with police custody healthcare providers would be visible to all professionals with access to the patient’s health record. As with all novel interventions or innovative models of care, the effectiveness of such clinical interventions remains to be established by further research. It opens a new line of research on quality improvement through integration of care and explores understudied aspects of joint commissioning of integrated care.

It offers health commissioners and public health leaders the opportunity to employ police custody healthcare services in reaching their population health management objectives and meeting their health inequalities objectives at local level. It also gives police and crime commissioners the opportunity to address the health drivers of criminal behaviour that overlap with health inequalities. It offers funding opportunities presented by jointly commissioning services at lower costs to both police and health commissioners alike. It improves the health outcomes of historically underserved populations by facilitating access to health and social care services and facilities.

Reducing health inequalities and disparities in health outcomes can decrease the costs of the healthcare services over the long term and might contribute to reducing criminality by addressing inequities and some health drivers of criminal behaviour.

The paper explores understudied opportunities offered by the recent changes in health and social care legislation in England and includes underused resources to tackle health inequalities.

Policies on integrated care have waxed and waned over time in the English health and care sectors, culminating in the creation of 42 integrated care systems (ICSs) which were confirmed in law in July 2022. One of the four fundamental purposes of ICSs is to tackle health inequalities. This paper reports on the content of the overarching ICS plans in order to explore how they focus on health inequalities and the strategies they intend to employ to make progress. It explores how the integrated approach of ICSs may help to facilitate progress on equity.

The analysis is based on a sample of 23 ICS strategic plans using a framework to extract relevant information on health inequalities.

The place-based nature of ICSs and the focus on working across traditional health and care boundaries with non-health partners gives the potential for them to tackle not only the inequalities in access to healthcare services, but also to address health behaviours and the wider social determinants of health inequalities. The plans reveal a commitment to addressing all three of these issues, although there is variation in their approach to tackling the wider social determinants of health and inequalities.

This study adds to our knowledge of the strategic importance assigned by the new ICSs to tackling health inequalities and illustrates the ways in which features of integrated care can facilitate progress in an area of prime importance to society.

In this chapter we discuss the cost-effectiveness analysis (CEA) of public health interventions where there are combined, and potentially conflicting, objectives of increasing total population health and reducing unfair health inequalities in the population. Our focus is on identifying appropriate health inequality measures in this context to quantify the impacts of interventions on unfair health inequality and, where necessary, analyse equity-efficiency trade-offs between improving total population health and reducing unfair health inequality. We recognise that this requires a number of important social value judgements to be made, and so prefer measures that facilitate transparency about these social value judgements. We briefly summarise the literature on health inequality and health-related social welfare functions, and conclude that while valuable it is not entirely suitable for our purpose. We borrow instead from the wider literature on economic inequality, highlighting how this translates to a health setting, and identify appropriate measures for CEA. We conclude with a stylised example illustrating how we would apply a battery of dominance rules and social welfare indices to evaluate the health distributions associated with two hypothetical health interventions.

Many countries have a renewed focus on health inequalities since COVID-19. In England, integrated care systems (ICSs), formed in 2022 to promote integration, are required to reduce health inequalities. Integration is supported by population health management (PHM) which links data across health and care organisations to inform service delivery. It is not well-understood how PHM can help ICSs reduce health inequalities. This paper describes development of a programme theory to advance this understanding.

This study was conducted as a mixed-methods process evaluation in a local ICS using PHM. The study used Framework to analyse interviews with health and care professionals about a PHM tool, the COVID-19 vaccination uptake Dashboard. Quantitative data on staff Dashboard usage were analysed descriptively. To develop a wider programme theory, local findings were discussed with national PHM stakeholders.

ICS staff used PHM in heterogeneous ways to influence programme delivery and reduce inequalities in vaccine uptake. PHM data was most influential where it highlighted action was needed for “targetable” populations. PHM is more likely to influence decisions on reducing inequalities where data are trusted and valued, data platforms are underpinned by positive inter-organisational relationships and where the health inequality is a shared priority.

The COVID-19 pandemic accelerated a shift toward use of digital health platforms and integrated working across ICSs. This paper used an evaluation of integrated data to reduce inequalities in COVID-19 vaccine delivery to propose a novel programme theory for how integrated data can support ICS staff to tackle health inequalities.

This article provides insights into how the health scrutiny function has performed in its first year of operation in a unitary authority in the North of England, through a case study of an inquiry into health inequalities.

Longitudinal data are required to characterise and measure the dynamics of income-related health inequalities (IRHI). This chapter develops a framework to evaluate the impact of population changes on the level of cross-sectional IRHI over time and thereby provides further insight into how health inequalities develop or perpetuate themselves in a society. The approach is illustrated by an empirical analysis of the increase in IRHI in Great Britain between 1999 and 2004 using the British Household Panel Survey. The results imply that levels of IRHI would have been even higher in 2004 but for the entry of youths into the adult population and deaths, with these natural processes of population turnover serving to partially mask the increase in IRHI among the resident adult population over the five-year period. We conclude that a failure to take demographic changes into account may lead to erroneous conclusions on the effectiveness of policies designed to tackle health inequalities.

We explore what health-capital theory has to offer in terms of informing and directing research into health inequality. We argue that economic theory can help in identifying mechanisms through which specific socioeconomic indicators and health interact. Our reading of the literature, and our own work, leads us to conclude that non-degenerate versions of the Grossman (1972a, 1972b) model and its extensions can explain many salient stylized facts on health inequalities. Yet, further development is required in at least two directions. First, a childhood phase needs to be incorporated, in recognition of the importance of childhood endowments and investments in the determination of later-life socioeconomic and health outcomes. Second, a unified theory of joint investment in skill (or human) capital and in health capital could provide a basis for a theory of the relationship between education and health.

Much of the theoretical literature on inequality assumes that the equalisand is a cardinal variable like income or wealth. However, health status is generally measured as a categorical variable expressing a qualitative order. Traditional solutions involve reclassifying the variable by means of qualitative models and relying on inequality measures that are mean independent. We argue that the way status is conceptualised has important theoretical implications for measurement as well as for policy analysis. We also bring to the data a recently proposed approach to measuring self-reported health inequality that meets both rigorous and practical considerations. We draw upon the World Health Survey data to examine alternative pragmatic methods for making health-inequality comparisons. Findings suggest significant differences in health-inequality measurement and that regional and country patterns of inequality orderings do not coincide with any reasonable categorisation of countries by health system organisation.