Understanding health inequalities in Wales using the Blinder-Oaxaca decomposition method.

Background: Throughout Wales and the world, health inequality remains a problem that is interconnected with a wider and complex social, economic and environmental dynamic. Subsequently, action to tackle inequality in health needs to take place at a structural level, acknowledging the constraints affecting an individual's (or community's) capability and opportunity to enable change. While the 'social determinants of health' is an established concept, fully understanding the composition of the health gap is dependent on capturing the relative contributions of a myriad of social, economic and environmental factors within a quantitative analysis. Method: The decomposition analysis sought to explain the differences in the prevalence of these outcomes in groups stratified by their ability to save at least £10 a month, whether they were in material deprivation, and the presence of a limiting long-standing illness, disability of infirmity. Responses to over 4,200 questions within the National Survey for Wales (n = 46,189; 2016-17 to 2019-20) were considered for analysis. Variables were included based on (1) their alignment to a World Health Organization (WHO) health equity framework ("Health Equity Status Report initiative") and (2) their ability to allow for stratification of the survey sample into distinct groups where considerable gaps in health outcomes existed. A pooled Blinder-Oaxaca model was used to analyse inequalities in self-reported health (fair/poor health, low mental well-being and low life satisfaction) and were stratified by the variables relating to financial security, material deprivation and disability status. Results: The prevalence of fair/poor health was 75% higher in those who were financially insecure and 95% higher in those who are materially deprived. Decomposition of the outcome revealed that just under half of the health gap was "explained" i.e., 45.5% when stratifying by the respondent's ability to save and 46% when stratifying by material deprivation status. Further analysis of the explained component showed that "Social/Human Capital" and "Income Security/Social Protection" determinants accounted the most for disparities observed; it also showed that "Health Services" determinants accounted the least. These findings were consistent across the majority of scenarios modeled. Conclusion: The analysis not only quantified the significant health gaps that existed in the years leading up to the COVID-19 pandemic but it has also shown what determinants of health were most influential. Understanding the factors most closely associated with disparities in health is key in identifying policy levers to reduce health inequalities and improve the health and well-being across populations.

Toward an economy of wellbeing: The economic impact of the Welsh healthcare sector.

Population health and wellbeing is both a result, as well as a driver, of economic development and prosperity on global, European, national and sub-national (local) levels. Wales, one of the four United Kingdom (UK) nations, has shown a long-term commitment to sustainable development and achieving prosperity for all, providing a good example of both national and sub-national level, which can be useful for other European countries and regions. In this paper, the economic importance of the healthcare sector to the Welsh economy is explored. We use a large number of data sources for the UK and Welsh economy to derive an economic model for 2017. We estimate output, income, employment, value-added, and import multipliers of the healthcare sector. Results suggest that the healthcare sector has an above average contribution in four explored economic aspects of the Welsh economy (output, income, employment, value-added), according to its impact on the surrounding economic ecosystem. Also, it is below average regarding leaking through imports. The multipliers' values offer empirical evidence when deciding on alternative policy actions. Such actions can be used as a stimulus for encouraging regional development and post-COVID economic recovery. Our study refers to the Welsh healthcare sector's economic impact as a whole. Therefore, we suggest investigating the economic impact of individual healthcare providers in the future.

The public health impact of loneliness during the COVID-19 pandemic.

BACKGROUND: Social distancing measures have been effective in mitigating the spread of COVID-19; however, they have imposed a significant burden on population mental health and well-being. This study aimed to identify factors associated with loneliness during the COVID-19 pandemic, and to describe the relationship between loneliness and the risk of worsening health outcomes and behaviours. METHODS: Data for 8,960 adults were drawn from a national cross-sectional survey undertaken in Wales between January and June 2021. Participants self-reported changes to health and behaviour since the start of the pandemic. Logistic regression was used to identify factors associated with loneliness, and the impact of loneliness on self-reported changes in physical health, physical fitness, mental health, weight, alcohol consumption and social relations in comparison with pre-pandemic experiences. RESULTS: Groups most at risk of loneliness were those aged < 35 years, women (odds ratio [95% confidence interval]: 1.86 [1.70-2.05]), those with chronic health conditions (1.43 [1.29-1.58]) and the unemployed (2.18 [1.76-2.70]). Loneliness was a strong predictor of worsening health outcomes and behaviours, with those reporting often feeling lonely being at increased odds of worsening physical health (3.29 [2.80-3.86]), physical fitness (2.22 [1.90-2.60]), mental health (8.33 [6.95-9.99]), weight (1.39 [1.19-1.62]), alcohol consumption (1.37 [1.12,-1.66]) and social relations (2.45 [2.07-2.89]) during the pandemic. CONCLUSION: This study established an association between loneliness and self-reported worsening health during the pandemic, and identified factors increasing the risk of loneliness. The effect that social control measures have on loneliness should influence the design of future public health policy.