Health measures and long-term care use in the European frail population

Informal and formal long-term care utilization and unmet needs in Europe: examining socioeconomic disparities and the role of social policies for older adults

The rising number of older adults with limitations in their daily activities has major implications for the demands placed on long-term care (LTC) systems across Europe. Recognizing that demand can be both constrained and encouraged by individual and country-specific factors, this study explains the uptake of home-based long-term care in 18 European countries with LTC policies and pension generosity along with individual factors such as socioeconomic status. Using data from the Survey of Health, Ageing and Retirement in Europe conducted in 2019, we apply a two-part multilevel model to assess if disparities in use of LTC are driven by disparities in needs or disparities in use of care when in need. While individual characteristics largely affect the use of care through its association with disparities in need, country-level characteristics are important for the use of care when in need. In particular, the better health of wealthier and more educated individuals makes them less likely to use any type of home-based personal care. At the country level, results show that the absence of a means-tested benefit scheme and the availability of cash-for-care benefits (as opposed to in-kind) are strongly associated with the use of formal care, whether it is mixed (with informal care) or exclusive. LTC policies are, however, shown to be insufficient to significantly reduce unmet needs for personal care. Conversely, generous pensions are significantly associated with lower unmet needs, underscoring the importance of considering the likely adverse effects of future pension reforms.

Preventing autonomy loss with multicomponent geriatric interventions: A resource-saving strategy? Evidence from the SPRINT-T study

Background

The objective of healthy aging strategies is to support interventions targeting autonomy loss prevention, with the assumption that these interventions are likely to be efficient by simultaneously improving clinical outcomes and saving costs.

Methods

We compare the economic impact of two interventions targeting frailty prevention in older European populations: a multicomponent intervention including physical activity monitoring, nutrition management, information and communications technology use and a relatively simple healthy aging lifestyle education program based on a series of workshops. Our sample includes 1,519 male and female participants from 11 European countries aged 70 years or older. Our econometric model explores trends in several outcomes depending on intervention receipt and frailty status at baseline.

Results

Implementing a multicomponent intervention among frail older people does not lead to a lower use of care and do not prevent quality of life losses associated with aging. However, it impacts older people's sense of priorities and interest in the future. We find no statistically significant differences between the two interventions, suggesting that the implementation of a multicomponent intervention may not be the most efficient strategy. The impact of the interventions does not differ by frailty status at baseline.

Conclusions

Our results show the need to implement healthy aging strategies that are more focused on people's interests.

Where Are Populations Aging Better? A Global Comparison of Healthy Aging Across Organization for Economic Cooperation and Development Countries

OBJECTIVES

Global comparisons and large samples are needed to inform policy makers about aging trends among people aged older than 60 years. Using harmonized data gathered from the Gateway to Global Aging data, we introduce a new framework to measure healthy aging across 13 OECD countries.

METHODS

First, we developed an original measure of physiological age (PA), that is, a measure of age weighted for the influence of frailty, activities of daily living limitations, and comorbidities. Second, we compared healthy aging measures across 13 countries based on a ranking of the countries according to the discrepancy between estimated PA and chronological age (CA). Third, we explored the socioeconomic factors associated with healthy aging.

RESULTS

We found a strong correlation between our PA measure and biological age. Italy, Israel, and the United States are the 3 countries where PA is the highest (independent of CA), thus indicating aging in poor health. In contrast, Switzerland, The Netherlands, Greece, Sweden, and Denmark have much lower PA than CA, thus indicating healthy aging. Finally, the PA-CA discrepancy is higher among poorer, less educated, and single older individuals.

CONCLUSIONS

Countries with higher PA need to implement or reinforce healthy aging measures and target the disadvantaged populations.

Reference values of gait characteristics in community-dwelling older persons with different physical functional levels

Background

Mobility is one major component of healthy ageing of older persons. It includes gait speed, nowadays valued as the sixth vital sign of ageing. Quantitative gait analysis can support clinical diagnostics, monitor progression of diseases and provide information about the efficacy of interventions. Fast gait speed is an additional marker in the area of functional ability. Our aim was to contribute reference values of gait parameters of older persons based on their functional ability.

Methods

We visualised and combined three different established frameworks that assess gait characteristics into a new framework based approach that comprises eight gait parameters: gait speed, stride length, walk ratio, single and double support time, step width, step width CV (coefficient of variance), stride length CV. Gait parameters were stratified by two instruments that indicate levels of functional ability: First, the LUCAS Functional Ability Index (FAI), a self-administered screening tool easy to apply to a public-health orientated approach and second the Short Physical Performance Battery (SPPB), an established performance test widely used in comprehensive geriatric assessments (CGA). Gait parameters of older community-dwelling persons were measured with an objective Gait system (GAITRite) across differing functional ability ranging from robust to transient (postrobust and prefrail) to frail physical status.

Results

Of 642 community-dwelling participants (age 78.5 ± 4.8; n = 233 male, n = 409 female) categorisations by SPPB were 27.1% for robust (11–12 points), 44.2% for transient (8–10 points), 28.7% for frail (0–7 points), and 16.2, 50.3, 33.5% for robust, transient, frail by LUCAS FAI. Overall, our results showed that distinction by functional level only uncovers a wide spectrum of functional decline for all investigated gait parameters. Stratification by functional ability (biological age) revealed a greater range of differentiation than chronological age.

Conclusions

Gait parameters, carefully selected by literature, showed clinically meaningful differences between the functional featuring a gradient declining from robust over transient to frail in most gait parameters. We found discriminative power of stratifications by SPPB to be the highest, closely followed by LUCAS FAI, age groups and dichotomous age making the application of the LUCAS FAI more cost and time effective than conducting SPPB.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03373-0.

Associations of psychosocial factors, knowledge, attitudes and practices with hospitalizations in internal medicine divisions in different population groups in Israel

BACKGROUND

Inequalities in healthcare utilization exist across ethnic groups; however, the contributions of health-related knowledge and psychosocial factors to these inequalities remain unclear. We examined associations of social determinants of health, psychological factors, knowledge, attitudes and health practices, with hospitalizations in internal medicine divisions, among Israeli adults, Jews and Arabs, with non-communicable diseases, in a setting of universal health insurance.

METHODS

A retrospective study was undertaken among 520 Jews and Arabs aged 40 years or older with non-communicable diseases, members of a large health maintenance organization. Hospitalization (at least once during 2008) in an internal medicine division was determined based on documentation in electronic health records. Participants were randomly selected in strata of sex, population-group and hospitalization status (yes/no). Data were collected from medical records and via face-to-face interviews using a structured questionnaire. Main independent variables included comorbidity burden, health behaviors, mental health wellbeing and self-rated health. Scales measuring health knowledge and attitudes/beliefs were constructed using factor analysis.

RESULTS

Comorbidity burden (OR 1.41 [95% CI 1.24-1.61]) and self-rated health (not good vs. good) (OR 1.88 [95% CI 1.13-3.12]) were positively associated with hospitalizations in an internal medicine division, while an inverse association was found with better mental health wellbeing (OR 0.98 [95% CI 0.96-0.99, for each 1-point score increase). Among Jewish participants, positive associations were found of the number of offspring, comorbidity burden and perceived difficulty, with hospitalizations. No significant associations were found with hospitalizations of other sociodemographics, health behaviors, knowledge and attitudes/beliefs.

CONCLUSIONS

Comorbidity burden was the main risk factor of hospitalizations in internal medicine divisions. Psychosocial factors, such as self-rated health, a complex variable affected by social capital, mental wellbeing, the number of offspring, and perceived burden and difficulty, seem also to contribute. These findings suggest the involvement of broad family and social factors, beyond individual level characteristics and medical needs, in hospitalizations in internal medicine divisions. Interventions to reduce hospitalizations should be comprehensive and integrate aspects of mental health wellbeing; they should build on familial characteristics (e.g., number of offspring), factors related to social capital such as self-rated health, and perceived burden and difficulty.