Effectiveness Evaluation of Long-Term Care Service for the Elderly through the Diffusion of Market Principle

2011 ◽  
Vol 31 (4) ◽  
pp. 5-33 ◽  
Author(s):  
Jinsook Lee ◽  
박진화
Author(s):  
Kuo-Chung Chu ◽  
Hsin-Ke Lu ◽  
Peng-Hua Jiang

This article describes how the phenomenon of an aging population in Taiwan has become increasingly evident in recent years as the elderly population dependency ratio has gradually risen. Therefore, a study on long-term care (LTC) resources has been a key issue that had needed discussion. Currently, Taiwan's government has enacted legislation and policies related to LTC, but most of them involved institutional care. The traditional idea of most elderly is aging in place, so this study has become very necessary. The study analyzed the Open Government Data of LTC to discuss the home care service resource utilization with regard to LTC.


1994 ◽  
Vol 20 (1-2) ◽  
pp. 59-77
Author(s):  
Eleanor D. Kinney ◽  
Jay A. Freedman ◽  
Cynthia A. Loveland Cook

Community-based, long-term care has become an increasingly popular and needed service for the aged and disabled populations in recent years. These services witnessed a major expansion in 1981 when Congress created the Home and Community-Based Waiver authority for the Medicaid program. Currently, all states offer some complement of community-based, long-term care services to their elderly and disabled populations and nearly all states have Medicaid Home and Community-Based Services waivers which extend these services to their Medicaid eligible clients.An ever increasing proportion of the population is in need of community-based, long-term care services. Between nine and eleven million Americans of all ages are chronically disabled and require some help with tasks of daily living. In 1990, thirty percent of the elderly with at least one impaired activity of daily living used a community-based, long-term care service. Not surprisingly, expenditures for community-based, long-term care have increased.


Author(s):  
Joan Harbison ◽  
Patricia M. Melanson

ABSTRACTThe majority of long term care facilities for the elderly have the characteristics of total institutions. Care is based on the medical model which emphazises the physical needs of the residents. Current gerontological research and literature concludes that a biopsychosocial approach offers the highest quality of care to the elderly in institutions. This paper discusses political, economic, institutional and professional barriers to the implementation of the holistic approach to care. It recognizes that accommodation to the constraints identified is required. It then comments on the potential for an active alliance between two important actors in traditional long term care service delivery, the professional social worker and the nurse, to move the institution towards biopsychosocial care.


2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Y. P. Tsang ◽  
C. H. Wu ◽  
Polly P. L. Leung ◽  
W. H. Ip ◽  
W. K. Ching

Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effective workforce planning is vital for improving the efficacy and workload balance of existing nursing staff in today’s complex and volatile long-term care service market. Currently, there is lack of an integrated solution to monitor care services and determine the optimal nursing staffing strategy in nursing homes. This study addresses the above challenge through the formulation of nursing staffing optimisation under the blockchain-internet of things (BIoT) environment. Embedding a blockchain into IoT establishes the long-term care platform for the elderly and care workers, thereby decentralising long-term care information in the nursing home network to achieve effective care service monitoring. Moreover, such information is further utilised to optimise nursing staffing by using a genetic algorithm. A case study of a Hong Kong nursing home was conducted to illustrate the effectiveness of the proposed system. We found that the total monthly staffing cost after using the proposed model was significantly lower than the existing practice with a change of −13.48%, which considers the use of heterogeneous workforce and temporary staff. Besides, the care monitoring and staffing flexibility are further enhanced, in which the concept of skill substitution is integrated in nursing staffing optimisation.


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