Horizontal and vertical targeting: a population-based comparison of public eldercare services in urban and rural areas of Sweden

Length of the period with late life dependency: Does the age of onset make a difference?

There is a gap in knowledge about factors associated with the duration of late life dependency. In this study, we measured how the age at onset of late life dependency relates to the time spent with late life dependency. Using Swedish register data, we identified people 70 + who entered the period of late life dependency (measured by entering long-term care for help with PADLs) between June and December 2008. We followed this cohort (n = 17,515) for 7 years, or until death. We used Laplace regression models to estimate the median number of months with late life dependency by age group, gender, level of education and country of birth. We also calculated the crude percentiles (p10, p25, p50, p75 and p90) of month with late life dependency, by age group, gender and cohabitation status. Results show that the majority spent a rather long period with dependency, the median number of months were 40.0 (3.3 years) for women and 22.6 (1.9 year) for men. A higher age at entry was associated with a shorter duration of dependency, an association that was robust to adjustment for cohabiting at baseline, gender, education and country of birth. Our results suggest that older adults who postpone the start of dependency also compress the time with dependency, this lends support to the ambitions of public health initiatives and interventions targeting maintained independence in older adults.

On the characteristics of reporting ADL limitations and formal LTC usage across Europe

The increase in the proportion of elderly people in most industrialized countries triggers higher demand for long-term care (LTC) associated with limitations in activities of daily living (ADL). The aim of this research is to derive the drivers affecting the probability of reporting limitations in ADL and the probability of demanding formal LTC, e.g., personal care and services in domestic tasks. By using the most recent wave of a cross-national European survey on individuals aged over 50 years (SHARE, wave 6), we develop econometric models for identifying the effect of demographic, social and medical factors on ADL limitations and formal LTC along five conjectures. On the one hand, we analyze functional limitations and we find that characteristics such as the age, the gender, the wealth status and the education level influence the probability to report limitations. Further, while we find that pathologies significantly increase the probability to become dependent in general, the effect of cancer is lower. On the other hand, we find again an influence of the demographic and social factors on the probability to use formal LTC. We emphasize on the decrease in the probability due to the presence of the partner in the household, in particular for housekeeping tasks. This is less the case for help related with personal care. In addition, we note that pathologies such as cancer have no influence on the probability to report formal LTC while others like mental and Parkinson diseases highly increase it. We find that elderly living in countries with LTC family care schemes report less formal care than in others. This indicates the importance of LTC policies. Finally, we validate the robustness of our results by applying the models to data from earlier waves of the survey. Our findings give insights for the underwriting standards to be used in future LTC insurance products and for the design of LTC policy environments across Europe.

Fairness and Eligibility to Long-Term Care: An Analysis of the Factors Driving Inequality and Inequity in the Use of Home Care for Older Europeans

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.