Long-term care residents often experience sleep disturbances as they are vulnerable to a variety of physical, psychosocial, and environmental factors that contribute to sleep disturbances. However, few studies have examined the combined impact of multiple factors on sleep among long-term care residents. This study aimed to identify the factors that influence sleep efficiency and sleep quality based on a modified senescent sleep model. A total of 125 residents were recruited from seven long-term care facilities in South Korea. Sleep patterns and sleep quality were collected using 3-day sleep logs and the Minimal Insomnia Screening Scale for Korean adults (KMISS), respectively. The mean sleep efficiency was 84.6% and the mean score on sleep quality was 15.25. A multiple linear regression analysis showed that greater dependence in activities of daily living (ADL), higher pain, and light at night were related to lower sleep efficiency. Higher pain and fatigue, less activity time, noise and light at night, and lower nighttime staffing levels were related to poorer sleep quality. This study highlights that psychosocial and environmental factors as well as physical factors could influence sleep for long-term care residents. Our findings could be foundational evidence for multi-faceted sleep intervention program development in long-term care settings.

Background: An increasing awareness exists that lack of activity engagement is associated with insomnia symptoms. However, the majority of studies have focused on the association between a single type of activity engagement and insomnia symptoms. Methods: This is a cross-sectional study using secondary data from the Health and Retirement Study examining the relationships among different types of activity engagement and insomnia symptoms among older adults. The sample for this study included 3321 older adults who responded to survey modules on activity engagement and insomnia symptoms in 2016. Activity engagement was measured using items for three types of activities (i.e., social, cognitive, and physical) validated in this study. Insomnia symptoms were measured using four items (i.e., difficulty of falling asleep, waking up during the night, waking up too early, and feeling rested). Independent t-tests were conducted to identify the differences in insomnia symptoms according to activity engagement level. Regressions were conducted to examine the associations among three types of activity engagement and insomnia symptoms after adjusting for covariates such as demographics, chronic disease, activities of daily living difficulty, cognitive function, sleep disorder, loneliness, and caregiving. Results: The respondents in the high-level social, cognitive, and physical activity engagement groups were found to show fewer insomnia symptoms. Furthermore, higher social (β = − 0.04, p = 0.040) and cognitive (β = − 0.06, p = 0.007) activity engagements were associated with fewer insomnia symptoms even after adjusting for other types of activity engagement and all covariates. Conclusions: This study suggests that older adults with higher social and cognitive activity engagements may be likely to have fewer insomnia symptoms. Based on these results, future research is needed to develop multi-component intervention programs that can encourage older adults to engage in these activities.

Background: Shared decision-making, a communicative process to reach decisions based on informed preferences, evidence, and co-created goals, improves care satisfaction and patients’ quality of life. However, shared decision-making has not been widely implemented in long-term care facilities, and few studies have examined how to promote the shared decision-making practice. This study aimed to identify the influencing factors of shared decision-making based on the Person-centered Practice Framework in long-term care facilities. Methods: A total of 300 staff (nursing staff, social workers, and personal care workers) in 13 Korean long-term care facilities participated in this study. Data from 280 respondents were finally analyzed, excluding respondents with missing values. Data were collected using structured questionnaires that included items on shared decision-making, personal factors (e.g., knowledge about dementia, person-centered care education, person-centered attitude, communication behavior, and job tenure), and care environment factors (e.g., person-centered climate, staffing level, effective staff relationships, supportive supervisors, and power-sharing). Multilevel linear regression analyses were performed using Mplus Version 8.8. Results: The mean shared decision-making score was 35.78 (range 8–45). Staff with experience of person-centered care education (β = 0.198, p = 0.034), a higher person-centered attitude score (β = 0.201, p = 0.007), and a higher communication behavior score (β = 0.242, p < 0.001) were more likely to report a higher shared decision-making score. In addition, staff who viewed their care environment as more person-centered were more likely to report a higher shared decision-making score (β = 0.416, p < 0.001). Conclusions: This study highlights that personal (e.g., person-centered care education, person-centered attitude, and communication behavior) and care environment (e.g., person-centered climate) factors could influence shared decision-making for long-term care residents. These findings could be foundational evidence for facilitating shared decision-making practice in long-term care settings.

안신애, et al. J Korean Acad Nurs Adm. 2021 Dec;27(5):334-343. https://doi.org/10.11111/jkana.2021.27.5.334

Background: Speaking up by healthcare providers is an essential assertive communication strategy for ensuring patient safety and preventing incidents. However, more is needed to know about speaking up and instruments to assess it in the Korean context. Therefore, we assessed the psychometric properties of the Korean version of the Speaking Up about Patient Safety Questionnaire (KSUPS-Q) for measuring speaking up-related behavior and climate among nurses. Methods: The translation and adaptation process followed the guidelines of the International Society for Pharmacoeconomics and Outcomes Research and the World Health Organization. Content validity was assessed by a six-member expert panel using the content validity index. In total, 314 nurses participated in an online survey to examine the psychometric properties. Internal consistencies were tested using Cronbach’s alpha and McDonald’s omega. Confirmatory factor analyses were conducted to examine the subscales’ construct. The convergent validity of the speaking up-related climate scale was assessed by testing correlations with teamwork and safety climate domains of the Safety Attitudes Questionnaire. In addition, we investigated the convergent validity of the speaking up-related behavior scale by examining its correlation with the climate scale. Results: The reliability of the 11-item behavior scale was satisfactory. Confirmatory factor analysis confirmed that a three-subscale model (perceived concerns, withholding voice, and speaking up) was appropriate (CFI = 0.98, TLI = 0.98, and SRMR = 0.05). Furthermore, the 11-item climate scale demonstrated satisfactory internal consistency. A three-subscale model (psychological safety, encouraging environment, and resignation) was confirmed (CFI = 0.98, TLI = 0.97, and SRMR = 0.05). The convergent validity of the climate scale was verified based on correlations with the teamwork (r = 0.68, p < 0.001) and safety climate (r = 0.68, p < 0.001) domains of the Safety Attitudes Questionnaire. In addition, speaking up-related behavior and climate showed a significant association, indicating that the behavior scale is conceptually valid. Conclusions: This study demonstrates that the KSUPS-Q is a valid and reliable instrument in Korea. This instrument can help nurse managers simultaneously monitor the behavior and climate of their organizations and evaluate the outcomes of interventions to enhance speaking up. Future research is needed to explore diverse factors contributing to speaking up, including clinical roles, team relationships, and supportive culture, to identify areas requiring further improvement.