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Background: Exposure to cold temperatures is known to be associated with deterioration of physical and mental health as well as poorer well-being in many countries. The Winter Fuel Payment, an unconditional direct cash transfer of value between £250-£300, was designed to help older people in England cover heating costs during the winter months, to counteract the particular vulnerability of older people to the effects of cold weather., Aims: We evaluated the impact of the Winter Fuel Payment scheme on subsequent prevalence of care needs such as being unable to eat or shower independently, quality of life and the likelihood of having cold-related housing conditions. We also explored the potential effects of the Winter Fuel Payment across different sub-samples (poorer/richer individuals, those living in newer/older properties, and in the North/South of England) to explore whether its benefits (if any) are spread equally across the eligible population., Data and Methods: We used a regression discontinuity design approach with age as running variable to analyse seven waves of a nationally representative sample, the English Longitudinal Study of Ageing, covering the period 2002/2003 to 2016/2017, and consisting of 24,651 observations., Results: The Winter Fuel Payment had no overall effect on the outcomes of interest (care needs, quality of life, and cold-related housing problems). However, the Payment increased quality of life for poorer individuals, for those living in Northern regions of England, and for those living in newer dwellings. The likelihood of living in a property with at least one cold-related housing problem also decreased for those living in newer properties., Conclusions: Findings from this research provide important insights into the effectiveness of a winter cash transfer among the older population in England, and they are potentially relevant for other nations looking for strategies to deal with cold seasons and poorly insulated homes. In particular, this evaluation contributes to the 'universality versus targeting' policy debate and has implications for the development of energy-efficient policies., Competing Interests: Declaration of competing interest We have no conflicts of interest to disclose., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Health economics research and economic evaluation have increasingly taken a societal perspective, accounting for the economic impacts of informal care. Projected economic costs of informal care help researchers and policymakers understand better the long-term consequences of policy reforms and health interventions. This study makes projections of the economic costs of informal care for older people in England., Methods: Data come from two national surveys: the English Longitudinal Study of Ageing (ELSA, N = 35,425) and the Health Survey for England (N = 17,292). We combine a Markov model with a macrosimulation model to make the projections. We explore a range of assumptions about future demographic and epidemiological trends to capture model uncertainty and take a Bayesian approach to capture parameter uncertainty., Results: We estimate that the economic costs of informal care were £54.2 billion in 2019, three times larger than the expenditure on formal long-term care. Those costs are projected to rise by 87% by 2039, faster than public expenditure but slower than private expenditure on formal long-term care. These results are sensitive to assumptions about future life expectancy, fertility rates, and progression of disabilities in the population., Conclusions: Prevention schemes aiming to promote healthy aging and independence will be important to alleviate the costs of informal care. The government should strengthen support for informal caregivers and care recipients to ensure the adequacy of care, protect the well-being of caregivers, and prevent the costs of informal care from spilling over to other sectors of the economy., (© 2023. The Author(s).)

Most older people wish to live in their own homes as they age and to have a choice over their housing and care situation. Housing has the potential to play a key role in promoting independence, delaying and/or preventing the onset of care needs and in influencing the level and type of care provision required. However, many older people live in homes that are not suitable for their comfort and needs. Our study focuses on older people living in non-specialist housing in England and aims to i) explore how housing characteristics cluster; and ii) investigate their association with an early onset of care needs. We used four waves of a large representative longitudinal sample of people aged 50 or over, covering the period 2012 to 2020. We performed Latent Class Analysis and a Cox regression survival model to provide answers to our research questions. We found that people living in poor housing conditions or living in social rented housing are more likely to experience early onset of care needs, which may lead to a higher demand for, and utilisation of, long-term care services. We believe that gaining a better understanding of the relationship between housing-related conditions and care needs is paramount from the preventative and service provision point of view, and is of relevance to policymakers, practitioners, and current and future adult long-term care users., Competing Interests: Declaration of competing interest We have no conflicts of interest to disclose., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Many countries worldwide have experienced reductions in provision of formal long-term care services amidst rising need for care. Provision of unpaid care, meanwhile, has grown. This includes care provided by young people. Care responsibilities can affect a young people's health, education and employment. We aimed to investigate the impacts on the employment and health of young people aged 16 to 25 of providing care, and the associated individual and public expenditure costs., Methods: We examined employment, earnings and health impacts for individuals, and a range of economic impacts for society, focusing on young people aged 16 to 25 providing unpaid care in England. We applied regression analysis to data from three waves of the UK Household Longitudinal Study (2013/2015, 2014/2016, and 2015/2017) to compare employment and health outcomes among carers and non-carers, and two-part Generalised Linear Models to estimate costs. To address potential selection bias, we then used propensity score matching methods to explore outcomes for a matched sub-sample of young adult carers who started providing care at baseline (2014/16)., Results: Young people aged 16 to 25 who provided care at baseline (2014/16) were less likely to be in employment, had lower earnings from paid employment, and had poorer mental and physical health at follow-up (2015/17) compared to young people of the same age who were not providing care at baseline.. There were substantial costs to the state of young adults providing care from lower tax revenue, welfare benefit payments, and health service use. In aggregate, these costs amounted to £1048 million annually in 2017., Conclusions: High individual impacts and costs to the state of providing unpaid care, and the potential of such impacts to compound existing inequalities, have many implications for policy and practice in the health, social care, employment and welfare benefits sectors. In particular, the findings reinforce the case for reducing the need for young people to provide unpaid care, for example through better provision of formal care services, and to provide ongoing support for those young people who do provide care. As impacts are seen in a number of domains, support needs to be multidimensional.