The prevalence of frailty is high in most countries and is expected to increase. This renders frailty prevention and remediation efforts imperative for two complementary reasons: to promote healthier aging and to reduce the burden on health systems.

IntroductionProgress towards effective service coverage and financial protection—the two dimensions of Universal Health Coverage (UHC)—has been limited in Kenya in the last decade. The government of Kenya has embarked on a highly ambitious reform programme currently being piloted in four Kenyan counties and aiming at national rollout by 2022. This study provides an updated assessment of the performance of the Kenyan health system in terms of financial protection allowing to monitor trends over time. In light of the UHC initiative, the study provides a baseline to assess the impact of the UHC pilot programme and inform scale-up plans. It also investigates household characteristics associated with catastrophic payments.MethodsUsing data from the Kenya Household Health Expenditure and Utilization Survey (KHHEUS) 2018, we investigated the incidence and intensity of catastrophic and impoverishing health expenditure. We used a logistic regression analysis to assess households’ characteristics associated with the probability of incurring catastrophic health expenditures.ResultsThe results show that the incidence of catastrophic payments is more severe for the poorest households and in the rural areas and mainly due to outpatient services. Results for the impoverishing effect suggest that after accounting for out-of-pocket(OOP) payments, the proportion of poor people increases by 2.2 percentage points in both rural and urban areas. Thus, between 1 and 1.1 million individuals are pushed into poverty due to OOP payments. Among the characteristics associated with the probability of incurring OOP expenditures, socioeconomic conditions, the presence of elderly and of people affected by chronic conditions showed significant results.ConclusionKenya is still lagging behind in terms of protecting its citizens against financial risks associated with ill health and healthcare seeking behaviour. More effort is needed to protect the most vulnerable population groups from the high costs of illness.

BackgroundKenya is experiencing persistently high levels of inequity in health and access to care services. In 2018, decades of sustained policy efforts to promote equitable, affordable and quality health services have culminated in the launch of a universal health coverage scheme, initially piloted in four Kenyan counties and planned for national rollout by 2022. Our study aims to contribute to monitoring and evaluation efforts alongside policy implementation, by establishing a detailed, baseline assessment of socio-economic inequality and inequity in health care utilization in Kenya shortly before the policy launch.MethodsWe use concentration curves and corrected concentration indexes to measure socio-economic inequality in care use and the horizontal inequity index as a measure of inequity in care utilization for three types of care services: outpatient care, inpatient care and preventive and promotive care. Further insights into the individual and household level characteristics that determine observed inequality are derived through decomposition analysis.ResultsWe find significant inequality and inequity in the use of all types of care services favouring richer population groups, with particularly pronounced levels for preventive and inpatient care services. These are driven primarily by differences in living standards and educational achievement, while the region of residence is a key driver for inequality in preventive care use only. Pro-rich inequalities are particularly pronounced for care provided in privately owned facilities, while public providers serve a much larger share of individuals from lower socio-economic groups.ConclusionsThrough its focus on increasing affordability of care for all Kenyans, the newly launched universal health coverage scheme represents a crucial step towards reducing disparities in health care utilization. However in order to achieve equity in health and access to care such efforts must be paralleled by multi-sectoral approaches to address all key drivers of inequity: persistent poverty, disparities in living standards and educational achievement, as well as regional differences in availability and accessibility of care.

In contrast with the case of health care, distributional fairness of long-term care (LTC) services in Europe has received limited attention. Given the increased relevance of LTC in the social policy agenda it is timely to evaluate the evidence on inequality and horizontal inequity by socio-economic status (SES) in the use of LTC and to identify the socio-economic factors that drive them. We address both aspects and reflect on the sensitivity of inequity estimates to adopting different definitions of legitimate drivers of care need. Using Survey of Health, Ageing and Retirement in Europe (SHARE)data collected in 2013, we analyse differences in home care utilization between community-dwelling Europeans in nine countries. We present concentration indexes and horizontal inequity indexes for each country and results from a decomposition analysis across income, care needs, household structures, education achievement and regional characteristics. We find pro-poor inequality in home care utilization but little evidence of inequity when accounting for differential care needs. Household characteristics are an important contributor to inequality, while education and geographic locations hold less explanatory power. We discuss the findings in light of the normative assumptions surrounding different definitions of need in LTC and the possible regressive implications of policies that make household structures an eligibility criterion to access services.

This article aims to investigate the impact of using 2 measures of socio-economic status on the analysis of how informal care and home care use are distributed among older people living in the community. Using data from the Survey of Health, Ageing and Retirement in Europe for 14 European countries, we estimate differences in corrected concentration indices for use of informal care and home care, using equivalised household net income and equivalised net worth (as a proxy for wealth). We also calculate horizontal inequity indices using both measures of socio-economic status and accounting for differences in need. The findings show that using wealth as a ranking variable results, as a rule, in a less pro-poor inequality of use for both informal and home care. Once differences in need are controlled for (horizontal inequity), wealth still results in a less pro-poor distribution for informal care, in comparison with income, whereas the opposite is observed for home care. Possible explanations for these differences and research and policy implications are discussed.

The results have important implications for the advancement of research on this topic, as well as for the development of interventions to fight ageism in practice. There is a need to take into account underexplored forms of operationalization and inductive conceptualizations of ageism, such as self-directed ageism and implicit ageism. In addition, ageism in health care should be measured by using context-specific instruments.

Religious attendance is an important element of activity for older Europeans, especially in more traditional countries. The aim of the analysis is to explore whether it could be an element contributing to active ageing as well as to assess differences between the religious activity of older individuals with and without multimorbidity defined as an occurrence of two or more illnesses. The analysis is conducted based on the SHARE database (2010–2011) covering 57,391 individuals 50+ from 16 European countries. Logistic regressions are calculated to assess predictors of religious activity. Results point that religious activity often occurs in multimorbidity what could be driven by the need for comfort and compensation from religion. It is also significantly correlated with other types of social activities: volunteering or learning, even among the population with multimorbidity. There is a positive relation between religious activity and age, although its effect is weaker in the case of multimorbidity, as well as being female. Mobility limitations are found to decrease religious participation in both morbidity groups and might be related to discontinuation of religious practices in older age. The economic situation of older individuals is an insignificant factor for religious attendance. Religious attendance can be an element of active ageing, but also a compensation and adaptation to disadvantages occurring in older age and multimorbidity. At the same time, religious activities are often provided at the community level and targeted to population in poorer health.

Due to an increased prevalence of chronic diseases, older individuals may experience a deterioration of their health condition in older ages, limiting their capacity for social engagement and in turn their well-being in later life. Focusing on care provision to grandchildren and (older) relatives ('informal care') as forms of engagement, this paper aims to identify which individual characteristics may compensate for health deficits and enable individuals with multimorbidity to provide informal care. We use data from the SHARE survey (2004-2012) for individuals aged 60 years and above in 10 European countries. Logistic regression estimates for the impact of different sets of characteristics on the decision to provide care are presented separately for people with and without multimorbidity. Adapting Arber and Ginn's resource theory, we expected that older caregivers' resources (e.g., income or having a spouse) would facilitate informal care provision to a greater extent for people with multimorbidity compared to those without multimorbidity, but this result was not confirmed. While care provision rates are lower among individuals suffering from chronic conditions, the factors associated with caregiving for the most part do not differ significantly between the two groups. Results, however, hint at reciprocal intergenerational support patterns within families, as the very old with multimorbidity are more likely to provide care than those without multimorbidity. Also, traditional gender roles for women are likely to be weakened in the presence of health problems, as highlighted by a lack of gender differences in care provision among people with multimorbidity.