[Preventing the need for long-term care : Analyses of assessment data from the medical service]. / Prävention von Pflegebedürftigkeit : Analysen von Begutachtungsdaten des Medizinischen Dienstes.

BACKGROUND: The importance of preventing the need for care increases with the growing number of people in need of care. For Germany, there is currently insufficient data on which factors are associated with the need for long-term care. In order to derive a preventive approach, this study examines the interactions between sociodemographic and health-related factors that determine the need for long-term care. METHODS: We analyzed the assessment data of the Medical Service Berlin-Brandenburg, which determines a need for care according to SGB XI for the 2017 and 2018/19 periods. We focused on the applicants who remained without a care grade classification over the period under consideration (6037 out of a total of 72,680 applicants in 2017). Social factors such as household composition, support potential, and partnership status were extracted using text-mining methods, and the data was evaluated using descriptive and multivariable statistical methods. RESULTS: Younger applicants and people without a partner had an increased chance of not being diagnosed with a need for long-term care. Also associated with an increased chance of remaining without a degree of care in 2018/19 were an improvement in health, having been without social support since 2017, musculoskeletal disorders, and chronic ischemic heart disease. On the other hand, applicants with dementia and other mental illnesses had fewer chances of remaining without a care level classification. DISCUSSION: The first investigation of the Medical Service assessment data from a preventive perspective shows that the interaction of sociodemographic and health-related determinants must be considered in order to identify additional preventive potential.

Is there an association between social determinants and care dependency risk? A multi-state model analysis of a longitudinal study.

Despite a growing body of knowledge about the morbidities and functional impairment that frequently lead to care dependency, the role of social determinants is not yet well understood. The purpose of this study was to examine the effect of social determinants on care dependency onset and progression. We used data from the Berlin Initiative Study, a prospective, population-based cohort study including 2,069 older participants living in Berlin. Care dependency was defined as requiring substantial assistance in at least two activities of daily living for 90 min daily (level 1) or 3+ hours daily (level 2). Multi-state time to event regression modeling was used to estimate the effects of social determinants (partnership status, education, income, and sex), morbidities, and health behaviors, characteristics, and conditions. During the study period, 556 participants (27.5%) changed their status of care dependency. Participants without a partner at baseline were at a higher risk to become care-dependent than participants with a partner (hazard ratio [HR], 95% confidence interval [CI]: 1.24 (1.02-1.51)). After adjustment for other social determinants, morbidities and health behaviors, characteristics, and conditions the risk decreased to a HR of 1.19 (95% CI: 0.79-1.79). Results indicate that older people without a partner may tend to be at higher risk of care dependency onset but not at higher risk of care dependency progression. Clinicians should inquire about and consider patients' partnership status as they evaluate care needs.

Risk Profiles for Care Dependency: Cross-Sectional Findings of a Population-Based Cohort Study in Germany.

Background: Rising life expectancy in Western societies is accompanied by a rising incidence of care dependency (CD) among older people. Objective: The aim of the study was to examine which health-related and social determinants were associated with CD. Method: We used cross-sectional data from the first follow-up (N = 1,699) of a prospective, population-based cohort study of older participants (≥70 years). CD was assessed if participants required substantial assistance in at least two activities of daily living for 90+ minutes daily. Multivariate logistic regressions were applied. Results: Participants' mean age was 82 years; 18.9% were care-dependent. CD was significantly associated with older age, urinary incontinence, stroke, falls, cancer, diabetes, education level, having no partner, limited mobility, and limited physical activity. Discussion: Our research highlights the importance of promoting mobility, even in care-dependent people. Further research should investigate the role of partnership in terms of the prevention and delay of CD.

Feasibility of the Factorial Survey Method in Aging Research: Consistency Effects Among Older Respondents.

BACKGROUND: The factorial survey (FS) method is increasingly used in the social sciences. It is particularly suitable for studying decision situations that are difficult to assess empirically. This article evaluates whether the FS method is suitable for studying decisions in gerontological research. METHODS: The present article draws on data from the Housing Opportunities & Mobility in the Elderly study. A total of 103 respondents (between 55 and 90 years) were asked to make hypothetical relocation decisions. The consistency of these responses was assessed as a function of respondents' age, gender, immigration background, education, household income, employment status, and intention to move. RESULTS: No significant differences in response consistency were attributable to age, gender, education, or immigration background. The personal relevance of the survey topic was positively related to response consistency in multiperson households. CONCLUSION: FS method can, under certain methodological conditions, be used among older adults especially when the topic of the survey is relevant to their daily lives.