Pilot evaluation to assess the effectiveness of youth peer community support via the Kooth online mental wellbeing website.

BACKGROUND: Mental health problems among young people are of growing concern globally. UK adolescent mental health services are increasingly restricted to those with the most severe needs. Many young people turn to the internet for advice and support, but little is known about the effectiveness, and potential harms, of online support. Kooth is a widely-used, anonymised and moderated online platform offering access to professional and peer support. This pilot evaluation sought to assess changes in the wellbeing and mental health of Kooth users, and changes in their use of formal services, over one month. We explored how community aspects of the site were used, and we considered the economic implications for commissioners making Kooth available to young people. METHODS: We surveyed young people when they first accessed Kooth and again one month later (n = 302). Respondents completed measures of mental health and wellbeing, including family relationships and pandemic-related anxiety, and reported on their use of services and, at follow-up, their perceptions of whether and how they had benefitted. We carried out qualitative interviews with ten participants, exploring perceptions of the Kooth community and its impact. RESULTS: We found improvements across nearly all measures, including reductions in psychological distress, suicidal ideation and loneliness. Subsample analyses suggested similar benefits for those who used only the community/peer parts of Kooth as for those who engaged with Kooth's counsellors. Participants reported learning from peers' suggestions and experiences, described as different from the advice given by professionals. Helping others gave users a sense of purpose; participants learnt self-help strategies and became more confident in social interactions. Service use and opinion data suggested Kooth experiences may help users make more appropriate and effective use of formal services. CONCLUSION: This pilot evaluation suggests that Kooth is likely to be a cost-effective way of providing preventative support to young people with concerns about their mental health, with possible benefits across a range of domains which could be investigated in a future controlled trial.

The high cost of unpaid care by young people:health and economic impacts of providing unpaid care.

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.

Acceptability, engagement and exploratory outcomes and costs of a co-designed intervention to support children of parents with a mental illness: Mixed-methods evaluation and descriptive analysis.

Children whose parents have a mental illness are much more likely to experience mental health problems and other adverse long-term impacts. Child-centred psychosocial interventions can be effective, but not much is known about how to design and implement them in different settings. A pre-post, mixed methods, single-arm evaluation of a co-designed social support intervention with parents and children (4-18 years) measured parents' mental health (PHQ-9), perceived social support (ENRICHD), parental self-efficacy (PSAM) and children's mental health (SDQ), quality of life (Kidscreen-27), and child service use (CAMHSRI-EU) at baseline and 6 months. Qualitative data were gathered at 6 months to explore parents' and children's experience with the intervention. Twenty-nine parents and 21 children completed baseline and follow-up questionnaires; 22 parents and 17 children participated in interviews. Parents' depression (MD -1.36, SD 8.08), perceived social support (MD 1, SD 5.91), and children's mental health potentially improved, and children's service use and costs potentially reduced (€224.6 vs. €122.2, MD 112.4). Parental self-efficacy was potentially reduced (MD -0.11, SD 3.33). The sample was too small to perform statistical analysis. Favourable themes emerged describing the high satisfaction with the intervention, parents' improved understanding of the impact of their mental health problems on children, and improvements in parent-child relationships. This study contributes to an emerging evidence base for co-designed child-centred interventions to prevent the transgenerational transmission of poor mental health.

Early onset of care needs in the older population: The protective role of housing conditions.

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.

Projected costs of informal care for older people in England.

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.

Inequalities in unpaid carer's health, employment status and social isolation.

Providing higher-intensity unpaid care (higher care hours or care within the household) is associated with negative impacts on people's paid employment, mental health and well-being. The evidence of effects on physical health is mixed and carer's social and financial outcomes have been under-researched. The biggest evidence gap, however, is on how outcomes vary by factors other than type or level of care provision, in particular socio-demographic factors. Our study used two waves of data (2017/19 and 2018/2020) from the United Kingdom Household Longitudinal Study for people aged 16 and older. We investigated the effects of providing care for 10 or more hours a week or within the household in interaction with people's socio-demographic characteristics. Outcomes included mental and physical health, social isolation, employment status and earnings. We found that caring responsibilities interacted with gender, ethnicity, socio-economic status (as measured by highest educational qualification), or age to affect carers differentially in a number of areas of their lives leading to, and exacerbating, key disadvantages and inequalities.

Functional disability and utilisation of long-term care in the older population in England: a dual trajectory analysis.

This study investigates the developmental trajectories of long-term care needs and utilisation in older people aged 65 years and over in England. The data came from the English Longitudinal Survey of Ageing (ELSA, waves 6-9, 2012-2018, N = 13,425). We conducted dual trajectory analyses to cluster people's trajectories of care needs (measured by functional disability) and utilisation into distinct groups. We conducted logistic regression analyses to identify the factors associated with trajectory memberships. We identified three trajectories of long-term needs (low, medium, and high) and three trajectories of care utilisation (low, medium, and high). Both care needs and care hours increased with age, but the speed of increase varied by trajectory. Females, minority ethnic groups, people with low wealth, and those experiencing housing problems were more likely to follow the joint trajectories characterised by higher care needs and higher care intensity. People with low or medium care needs stayed in the same trajectories of care utilisation. In contrast, people in the high-needs trajectory followed divergent trajectories of care utilisation: 63% of them followed the trajectory of high care intensity and the rest (37%) followed the trajectory of medium care intensity. Lack of spouse care was the leading predictor of trajectory divergence (OR = 3.57, p < 0.001). Trajectories of care needs and utilisation are highly heterogeneous in later life, which indicates persistent inequalities over time. Single people with multiple functional limitations face an acute and enduring risk of inadequate care and unmet needs. The amount of support is as important as the availability of support. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-022-00723-0.