Background: Reminiscence therapy (RT) can improve various dysfunctions in people with dementia (PWD), but it may not be a cost-effective intervention. Digital RT allows multiple users to participate in a therapy simultaneously. Moreover, digital RT offers convenience, such as for uploading personal materials and presenting individual triggers of personal memories. This pilot study aimed to evaluate the effect of digital RT through a comparison with conventional RT and to develop a strategy for designing larger RCTs. Methods: An Android application and digital content were developed for digital RT. Overall, 49 PWD enrolled in nine daycare centers in Korea met the inclusion criteria. Eight sessions of digital RT in an intervention group (n = 25) and storytelling in a control group (n = 24) with no digital materials were performed over 4 weeks from February to June 2019. Cognition, depression, behavioral and psychological symptoms of dementia (BPSD), and engagement were measured as the primary outcomes to evaluate the effect of digital RT. All outcomes except for engagement were evaluated at baseline before the intervention (T0), post-intervention (T1), and 4 weeks after the intervention (T2). Engagement was measured at the first and last intervention sessions. Differences in cognition, depression and BPSD between groups and across time points (T0, T1, and T2) were analyzed by repeated measures ANOVA. Differences in engagement between the groups and time points (the first and last sessions) were analyzed by independent t-tests. This study adhered to the CONSORT guidelines. Results: Depression (F = 7.62, p = .001, partial η² = .17) was significantly decreased at T1 and T2, and engagement (t = − 2.71, p = .011) was significantly increased at the last session in the digital RT group compared to the control group. However, cognition (F = 0.13, p = .821) and BPSD (F = 0.67, p = .485) were not significantly different between groups and time points. Conclusions: Digital RT proved an innovative approach to manage PWD and will thus help PWD achieve a better mood and have more opportunities to engage in social interactions. Trial registration: KCT0003446 in the Clinical Research Information Service. Registered 24 January 2019, https://cris.nih.go.kr/cris/search/search_result_st01.jsp?seq=14391

Distance learning (DL) based on information and communication technologies is gaining importance due to its convenience and cost savings. However, there is not enough evidence to identify the effect of DL on students requiring a high level of self-regulated learning (SRL). Therefore, this study aims to compare the effects of the use of augmented reality (AR) as an innovative learning method and the use of a textbook as a conventional learning method. Both methods were based on SRL strategies. In this pilot randomized controlled trial (RCT), SRL using an AR group (n = 31) and a textbook group (n = 31) was performed. Perceived learning (PL) competency, knowledge, SRL competency, academic stress, and learning flow were measured to evaluate the effect of intervention. Although, there was not significant interaction between the effects of time and the intervention in PL competency, knowledge, academic stress, and learning flow. In the subdomains of SRL competency, environmental structuring, task strategies, time management, help seeking, and self-evaluation were significantly improved after intervention. SRL using innovative methods is more important after COVID 19. Therefore, well-designed larger RCTs are required to identify the effect of SRL strategy using innovative method.

Collaborations between nursing schools and teaching hospitals are important for achieving the goals of clinical nursing education. While previous work showed that nursing students benefit from academic-practice partnerships, it is unclear how these collaborations help nursing students. To identify the role of academic-practice partnerships from the perspective of nursing students. Two hypothetical models based on system theory were proposed that utilized input-transformation-output processes. The input, transformation, and outputs were the "academic-practice partnership", "interaction between nurses and nursing students", and "professional self-concept and organizational socialization of nursing students", respectively. This study used a cross-sectional research design. This study was conducted at a nursing school in Korea. The participants included 243 fourth-year nursing students who were about to graduate. A questionnaire was used to collect data in August 2019. Path analysis was used to explore the models to determine the roles of academic-practice partnerships. Two hypothetical models indicated the role of academic-practice partnership. The academic-practice partnership positively affected the interaction between nurses and nursing students, which directly and indirectly benefitted professional self-concept and organizational socialization of nursing students. The higher perceived academic-practice partnership by nursing students, the better their interactions with nurses, professional self-concept, and organizational socialization. Therefore, nursing students should be aware of the academic-practice partnerships and nursing educators should effectively show these partnerships or collaborations to nursing students. Moreover, nursing educators should also encourage nursing students to interact with their preceptors in their practicums and, as nurses are important educators in academic-practice partnerships, they should be qualified as preceptors to teach nursing students.

Background: As the elderly population and the number of older drivers grow, public safety concerns about traffic accidents involving older drivers are increasing. Approaches to reduce traffic accidents involving older drivers without limiting their mobility are needed. This study aimed to investigate the driving cessation (DC) rate among older Korean adults and predictors of DC based on the comprehensive mobility framework. Method: In this cross-sectional study, data from 2970 to 10,062 older adults over 65 years old from the 2017 National Survey of Elderly People were analyzed in April 2020. Multivariate logistic regression analyses were conducted to identify the predictors of DC. Results: Residential area, an environmental factor, was a strong predictor of DC (Odds Ratio (OR) 2.21, 95% Confidential Interval (CI) 1.86–2.62). Older drivers living in an area with a metro system were 2.21 more likely to stop driving than those living in an area without a metro system. Other demographic, financial, psychosocial, physical, and cognitive variables also predicted DC. Conclusion: Environmental factors were strong predictors of older adults’ DC. Therefore, political and environmental support, such as the provision of accessible public transportation, is essential to increase the DC rate among older adults to increase public safety without decreasing their mobility.

Care robots have the potential to address the challenge of aging societies, such as labor shortages or the aging workforce. While previous studies have focused mainly on the productivity or workability of care robots, there has been an increasing need to understand the social value of care robots. This study attempted to identify the social values of care robots by conducting focus group interviews (FGIs) with twenty-four care recipients and caregivers and by using analytic hierarchy processes (AHPs) with thirteen individuals with expertise in the care service and care robot industries. Our results show that the labor- and health-related benefits, the technology innovation, and the provision of essential care work have the highest importance among the criteria of care robots’ social values. The criteria that receive lowest priority are cost, the autonomy and needs of the care recipients, and the organizational innovation. Our study suggests that along with the private benefits and costs of care robots, their social values also need to be considered to improve the quality of care and to unlock the potential of the care robot industries.