Empathy of the caregiver can influence both the caregiver’s performance and the receiver’s enhanced life. The aim of this study is to examine whether Simulation-based Empathy Enhancement program for the Carer of the Elderly (SEE-C) is effective in increasing care receivers’ session satisfaction and positive emotional change. We developed SEE-C by modifying the Dementia Live(TM) program and adding with a brief mindfulness. The effect on counselling was assessed using the Session Evaluation Questionnaire (SEQ), which is self-report tool asking the client about their experience with the session just ended. A total of 100 older adults living alone were interviewed by caregivers who experienced SEE-C (n=12) and by non-experienced (n=12). Participants in this study were randomly assigned to each of the two caregiver groups, and were interviewed about demographics, health and emotional status, and lifestyle using the same protocols. Analysis of covariance was conducted, controlling variables of age of subjects and caregivers’ months of career, which were found to differ significantly between the two groups. Among the four subcategories of SEQ, the experimental group reported significantly higher scores than the control group in three subcategories of session-depth (F(1, 96)=9.647, P=.002), session-smoothness (F(1, 96)=13.699, p<.001), emotion-positive (F(1, 96)=18.056, p<.001), with the exception of emotion-alertness (F(1, 96)=0.366, p=.546). These results suggest that SEE-C could have a positive impact on interviewing the elderly in terms of improving the capacity of the interviewer and raising the satisfaction of the interviewee.
Resilience is one of the components for successful aging and is related to wellbeing in late life. Studies have shown that older people living alone have low resilience. However, most of these studies were mainly conducted on unhealthy participants. The aim of this study is to examine the factors that contribute to resilience of healthy older adults living alone. Older people living alone who are not subject to public health care service provided to the economically or physically challenged or depressed people were recruited. Data collected from 295 participants were used to conduct hierarchical multiple regression analyses, controlling demographic characteristics, level of cognitive and physical functions, and emotional status. A self-reported questionnaire, UCLA Loneliness Scale, Lubben Social Network Scale(LSNS), and Multidimensional Individual and Interpersonal Resilience Measure(MIIRM) were used to measure study variables. A hierarchical model accounted for 48.8% of the variance in resilience. In model 1(demographics), the religion(β=.178, p<.001) and the perceived economic status(β=-.176, p<.001) variables were significantly related to resilience. The subjective health(β=-.109, p=.038) in model 2(level of function) and the loneliness(β=-.379, p<.001) in model 3(emotional status) had a significant effect on resilience. In model 4, the size(β=-.115, p=.029) and the frequency(β=.160, p=.003) of social networks significantly predicted resilience. The results showed that protecting older adults’ social networks could lead to promote their health and wellbeing. What can be inferred from this finding is that even though the members are small, the social network they often have contact with is important for the resilience of older adults living alone.
Date Presented 03/27/20
The study used cross-sectional data of 1,202 community-dwelling adults age 65 and older from the Health and Retirement Study. The finding indicates that SMC have a small but significant effect on social participation among older adults. Therefore, OTs need to start considering SMC when facilitating social participation among older adults.
Primary Author and Speaker: Chang Dae Lee
Additional Authors and Speakers: Sangmi Park
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