A Study on Safe Housing for the Elderly -Focusing on the Current Status of Laws and Systems

2021 ◽  
Vol 12 (6) ◽  
pp. 3367-3380
Author(s):  
Sumi Seo
Author(s):  
Man Ye ◽  
Shi-hao Chen ◽  
Xu-ting Li ◽  
Jin Huang ◽  
Ran-ran Mei ◽  
...  

Abstract OBJECTIVE: To assess the current status of disease-related knowledge and to analyze the relationship among the general condition, illness perception, and psychological status of patients with COVID-19. METHODS: A hospital-based cross-sectional study was conducted on 118 patients using convenience sampling. The general questionnaire, disease-related knowledge questionnaire of COVID-19, Revised Illness Perception Questionnaire (IPQ-R), and Profile of Mood States (POMS) were used to measure the current status of participants. RESULTS: The overall average score of the disease-related knowledge of patients with COVID-19 was (79.19 ± 14.25), the self-care situation was positively correlated with knowledge of prevention and control (r=0.265, P=0.004) and total score of disease-related knowledge (r= 0.206, P= 0.025); the degree of anxiety was negatively correlated with the knowledge of diagnosis and treatment (r= -0.182, P= 0.049). The score of disease-related knowledge was negatively correlated with negative cognition (volatility, consequences, emotional statements) and negative emotions (tension, fatigue, depression) (P<0.05); positively correlated with positive cognition (disease coherence) and positive emotion (self-esteem) (P<0.05). CONCLUSION It was recommended that we should pay more attention to the elderly and low-income groups, and increase the knowledge about diagnosis and treatment of COVID-19 and self-care in the future health education for patients.


Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 493
Author(s):  
Soo-Hyun Sung ◽  
Minjung Park ◽  
Jihye Kim ◽  
Sun-Woo Jeon ◽  
Angela Dong-Min Sung ◽  
...  

Korea is currently executing a pilot program for community care of its aging population and aims to implement community care systems on a national scale by 2025. This study examines the traditional Korean medicine (TKM) service to be provided within community care by understanding the current status of TKM services. The Ministry of Health and Welfare (MoHW) sent official letters to 242 local governments (cities, districts, and counties) from October to November 2019 to survey the status of the public TKM services provided in 2018. The items of the survey included basic demographic information as well as information that could reveal how the program was implemented. In 112 local government jurisdictions (response rate 46.3%), a total of 867 TKM service programs were in place. As a result of the survey, it was revealed that they did not have any service manuals or evaluation results. To provide home-care-based TKM service for the elderly as an integrated part of a community care system, it is necessary to develop, distribute, and evaluate a standard service manual including an evaluation index by the central government.


Author(s):  
Luyao Wang ◽  
Chunlin Li ◽  
Jinglong Wu

In recent years, service robots have been widely used in many fields, especially for assisting the elderly and disabled. For example, the medical care of patients with Alzheimer's disease has become a worldwide problem. Existing service robots with some intelligence quotient can perform actions that are programmed by a human. However, the robot cannot understand human intentions or communicate with people naturally. Understanding the intent of the service object could allow the robot to provide better service. Therefore, the most critical component of human-computer interactions is intention recognition. There are currently many methods by which intention recognition can be achieved, such as EMG, EOG and EEG. In addition, emotion is one of the important factors during intention recognition, and this has been a breakthrough notion. This chapter summarizes the current status of research into intention recognition and gives a brief description of the relationship between emotion and intention. We hope to provide more ideas for optimizing human-computer interactions.


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