Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

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Teleworking: A Curse or a Blessing for Gender Equality and Work-Life Balance? by Manuela Tomei

“…Abstract Affordable, reliable and high-quality child and elderly care services are essential for employees to do teleworking in an efficient manner.…”
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Applause Alone Is Not Enough — How Can Nursing Professions Become More Attractive? by Dominik Mann, Sean-Pascal Kuttner, Julius Georgi Wesirow, Lukas Bachmann, Anna Marie Körner, Yannis Grabbe, Laura Rothe, Lisa Schueler, Julia Lang, Michaela Fuchs

“…Abstract Demographic change has increased the need for elderly care. Ensuring a sufficient number of workers in this field is a major challenge that will become even more severe in the coming years. …”
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Transformative Service Research and the role of service robots: a bibliometric analysis by Priscila Pasti Barbosa, Felipe Facco Mendes Ferreira, Larissa Cayla Cesário, Glauco Henrique de Souza Mendes

“…The use of service robots in elderly care stands out for providing emotional well-being, inhibiting loneliness, for example. …”
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Study on Influencing Factors and Countermeasures of Elderly Nursing Services in the Elderly by Shuo Liu, Li Chen, Dandan Li, Qianqian Yang, Fangfang Liu, Yanli Cheng

“…The study found that the vast majority of elderly patients have higher requirements for elderly care services, which is related to factors such as family income. …”
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Puzzled by Your Care Receiver's Refusal of Services? by Carolyn S. Wilken

“… FCS-2259, a 2-page fact sheet by Carolyn Wilken, is the third in a series on caregiving and aging. Sometimes an elderly care receiver may refuse help or assistance from family, friends, or agencies. …”
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Puzzled by Your Care Receiver's Refusal of Services? by Carolyn S. Wilken

“… FCS-2259, a 2-page fact sheet by Carolyn Wilken, is the third in a series on caregiving and aging. Sometimes an elderly care receiver may refuse help or assistance from family, friends, or agencies. …”
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Une Analyse de long terme des dépenses sociales by Sandrine Michel, Delphine Vallade

“…So far, the relationships between each category of social expenditures (i.e. education, health, elderly care) and long-term economic growth have been investigated separately. …”
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Design and Experiment of Walking Assistant Wheelchair for Semi Disabled Elderly by Jinping Ma, Gang Li, Zhendong Song, Bing Guo, Fengwen Lan

“…Due to the increasing trend of aging society in China， the semi disabled elderly will become a very large group， which will bring great pressure to the elderly care institutions and nursing institutions. Most of the semi disabled elderly suffer from lower limb motor dysfunction and can’t walk independently. …”
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TV-Based Caring Videophone System for the Elderly in the Smart Home Environment by Jingshuang Shen, Chongyang Zhang, Chuanwen Jiang

“…A novel videophone system for the elderly-care application is proposed. Based on the detailed analysis of the elderly’s physical and psychological characteristics, a TV-based caring videophone system for the elderly is developed: an embedded multimedia device is designed to implement the interactive video and audio processing and IP-based communication, in which TV is adopted as the display terminal to achieve a low-cost but high-quality service. …”
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Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design by Shinil Suh, Byung-Seo Kim, Jae Hee Chung

“…As part of resolving the issue related to super-aging society, various information systems for the elderly care have been developed utilizing cognitive sensor networks. …”
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Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology by Mulin Yin

“…Human behavior recognition and status monitoring are current research hotspots, especially in the fields of medical monitoring, smart home, and elderly care. With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and applied in daily life. …”
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Retirement, Home Care and the Importance of Gender by Anders Brändström, Glenn Sandström

“…In recent decades elderly care policies in Sweden have been characterized by a marked shift from institutional care to home care. …”
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Analysis of the development of China's long-term care system by Čen Mengsuan

“…Due to its large population base and the one-child policy implemented for over 30 years, the country is aging faster than most others, with a higher number of elderly people and more pressing elderly care challenges. Traditional home care is no longer sustainable, which increases the need for long-term care. …”
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Optimism as a Predictor of Resilience in Aging: Counseling Approaches and Interventions by Febria Febria, Ratriana Yuliastuti Endang Kusumiati

“…The study's implications extend to the design of elderly care environments and community-based interventions, highlighting the need for settings that promote resilience through a multifaceted approach.…”
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Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor by Yukai Lin, Qiangfu Zhao

“…Infrared thermal sensors detect the infrared heat emitted by the human body, protecting privacy and functioning effectively day and night with low power consumption, making them ideal for continuous monitoring scenarios like security systems or elderly care. In this study, we propose a system using the AMG8833, an 8 × 8 Infrared Thermal Array Sensor. …”
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A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…Fall detection is a major challenge in the development of technology-based healthcare systems, particularly in elderly care. This study aims to compare the performance of six classification algorithms: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) in detecting fall incidents using wearable sensor data such as accelerometers and gyroscopes. …”
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Time travel of older people through virtual reality: a qualitative study by Leyla Muslu, Zeynep Karakuş, Ercan Asï, Rabia Bayindir, Zeynep Özer

“…The study revealed that older people had positive experiences with virtual reality and showed that it has the potential to be useful in elderly care. In the study, virtual reality also enabled older people to have a time-traveling experience. …”
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Practice of total quality management model in the "One Syndrome and One Product" specialized nursing demonstration wards (全面质量管理模式在“一证一品”专科护理示范病房管理中的实践)... by LI Jing (李静), LI Yueru (李月茹), CAO Hongjing (曹红京), LI Ning (李宁), TIAN Zhijun (田志军)

“…Hospital has launched the construction project of the "One Syndrome and One Product" specialized nursing demonstration wards and established a service band of Traditional Chinese Medicine nursing focusing on elderly care. The total quality management model has been built and put into practice, in order to improve the quality of specialized nursing and enhance the comprehensive ability of nurses. …”
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Comparing COVID-19 literacy and vaccine hesitancy among health care workers, including oral health professionals, in Japan by Fujimi Ueno, Satoru Haresaku, Hidechika Iino, Tomoaki Taguchi, Ryuji Sakagami, Koichiro Matsumoto, Kotaro Kudo, Masahiro Yoneda, Akiko Chishaki, Kenji Okada

“…Methods To compare these differences, a self-administered questionnaire-based survey of 596 staff members was conducted in March 2023 at schools, an affiliated hospital, and elderly care facilities after the staff who wished to receive it completed the fifth dose of COVID-19 vaccinations. …”
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