Rationale and study design for decision making & implementation of aging-in-place/long term care plans among older adults

Factors Associated With Psychological Wellbeing in Home Care Older Adults With Alzheimer's Disease: A Longitudinal Analysis

The long-term symptoms associated with Alzheimer's disease pose significant challenges to the psychological wellbeing of patients. This longitudinal study aims to analyze the effects of socioeconomic factors and physical health factors on the psychological wellbeing of older patients diagnosed with Alzheimer's disease (AD) receiving home care, as well as the moderating role of aging and care support in influencing their psychological wellbeing. Data from the Health and Retirement Study (N = 628 older Alzheimer's patients) were analyzed using pooled ordinary least squares fixed-effects models. Findings suggest that Alzheimer's patients' psychological wellbeing was significantly affected by factors including cohabitation, gender, assistance frequency, age, education, and daily activity challenges, with assistance and increasing age mitigating some daily difficulties. The findings underline the multifactorial nature of psychological wellbeing among older Alzheimer's patients in home care and the critical role of social and physical health determinants in shaping these outcomes.

Aspects of cognition that impact aging-in-place and long-term care planning

BACKGROUND

Older adults frequently defer decisions about their aging-in-place/long-term care (AIP-LTC) needs. As a result, when older adults experience worsening Alzheimer's disease, family members/friends become surrogate decision makers. We sought to understand what aspects of cognition impact older adult AIP-LTC planning.

METHODS

As part of the PlanYourLifespan (PYL)-LitCog study, we longitudinally examined AIP-LTC decision-making among a cohort (LitCog) of community-based older adults (65 years and older) recruited from hospital-associated primary care clinics in Chicago, Illinois, with extensive cognitive testing. PlanYourLifespan.org (PYL) is an evidence-based online intervention that facilitates AIP-LTC planning. Subjects underwent baseline testing, received the PYL online intervention, and then were surveyed at 1, 6, and 12 months about AIP-LTC decision-making. Cross-sectional logistic regression analysis was conducted examining cognitive variables that impacted AIP-LTC decision-making.

RESULTS

Of the 293 older adults interviewed (mean age 73.0 years, 40.4% non-White), subjects were more likely to have made AIP-LTC decisions if they had adequate inductive reasoning (ETS letter sets total-OR = 1.14 (95% CI = 1.03-1.27; p < 0.05)) and adequate working memory (size judgment span total-OR = 1.76 (95% CI = 1.13-2.73; p < 0.05)). There were no differences in decision-making observed in verbal abilities, long-term memory, or processing speed. All analyses were adjusted for participant gender, race, age, and decision-making response at baseline.

CONCLUSION

Inductive reasoning and working memory are critical to AIP-LTC decision-making. Screening routinely for these specific cognitive domains is important in targeting and helping older adults prepare in time for their future AIP-LTC needs.

Aging-in-place preferences and institutionalization among Japanese older adults: a 7-year longitudinal study

Background

In Asia, where autonomous decision-making is not well accepted, little is known about whether and how individuals’ preferences are considered when deciding where they receive care. This study examined whether individuals preferring to age in place if confined to bed were less likely to be institutionalized, using longitudinal data of Japanese older adults.

Methods

We analyzed nationally representative data of 1,290 community-dwelling older adults aged 70 and above. Baseline data were collected in 1999, shortly before the long-term care insurance system was introduced. The outcome was measured as self- or proxy-reported years of institutionalization over seven years. The explanatory variable was whether individuals preferred to age in place if they were confined to bed. Participants were asked about their desired place of care (facility, home, or other) if confined to bed. Covariates were sociodemographic and health-related factors. We used Cox proportional hazards models and calculated hazard ratios (HRs) with 95% confidence intervals (CIs) to evaluate the association of aging-in-place preferences if confined to bed with institutionalization. We applied multiple imputation to deal with missing data.

Results

Seventy-eight respondents (6.0%) were institutionalized during the follow-up period. Compared to individuals preferring to reside in long-term care facilities if confined to bed (48.7%), those preferring to stay in their homes (39.6%) were less likely to be institutionalized, even after adjusting for relevant covariates (HR = 0.47, 95% CI 0.27–0.79 for model 1 including residential status; HR = 0.45, 95% CI 0.27–0.76 for model 2 including marital status and co-resident children).

Conclusions

Our findings suggest that individuals’ aging-in-place preferences tend to be considered under the long-term care insurance system. Individuals’ preferences should be shared with families and clinicians when deciding the place of care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02766-5.

The Role of Information and Communication Technology (ICT) for Older Adults' Decision-Making Related to Health, and Health and Social Care Services in Daily Life-A Scoping Review

Information and communication technology (ICT) can potentially support older adults in making decisions and increase their involvement in decision-making processes. Although the range of technical products has expanded in various areas of society, knowledge is lacking on the influence that ICT has on older adults' decision-making in everyday situations. Based on the literature, we aimed to provide an overview of the role of ICT in home-dwelling older adults' decision-making in relation to health, and health and social care services. A scoping review of articles published between 2010 and 2020 was undertaken by searching five electronic databases. Finally, 12 articles using qualitative, quantitative, and mixed-method designs were included. The articles were published in journals representing biology and medicine, nursing, informatics, and computer science. A majority of the articles were published in the last five years, and most articles came from European countries. The results are presented in three categories: (i) form and function of ICT for decision-making, (ii) perceived value and effect of ICT for decision-making, and (iii) factors influencing ICT use for decision-making. According to our findings, ICT for decision-making in relation to health, and health and social care services was more implicitly described than explicitly described, and we conclude that more research on this topic is needed. Future research should engage older adults and health professionals in developing technology based on their needs. Further, factors that influence older adults' use of ICT should be evaluated to ensure that it is successfully integrated into their daily lives.