Constructing Application Selection Model of Nursing Care Attendants in the Healthcare Vendors for Outsourcing

• Main Authors: Pi-Mei Dai., 戴碧美
• Other Authors: Pi-Fang Hsu
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/g9m674

碩士 === 元培科學技術學院 === 經營管理研究所 === 95 === A rapidly growing elderly population poses a major challenge for long-term care management. For instance, with an increasing disabled elderly population, immediate solutions must be developed for assisted living of this population sector given changing family structures, a lack of caregiver in the family and the frequency of chronic illnesses. Disabled or chronically ill elderly individuals are often sent to residential nursing homes staffed by nursing care attendants in hospital subsidized facilities such as respiratory care centers and wards. Given changes in Taiwan’s National Health Insurance scheme, controlling personnel costs while maintaining highly quality services in order to maintain or increase hospital revenues is of priority concern. An effective means of doing so is to outsource nursing care attendants in such facilities to effectively control personnel costs and maintain the quality of medical services. However, hospital administrators lack an effective means of evaluating the most qualified outsourcing agency efficiently. Therefore, this work presents an ANP method to assess objectively the quality of outsourcing agencies of nursing care attendants as a viable alternative to decision-making approaches based on subjective evaluations. Criteria for outsourcing vendors and sub-criteria of nursing care attendants for medical are then evaluated using the Delphi technique. Moreover, results of interviews with experts are integrated with the ANP theory is applied to determine the objective weight values. Additionally, ANP theory is applied to calculate and rank the best efficiency in the nursing care attendants vendor model. The proposed can provide medical administrators with a decision-making and evaluation criteria to actively encourage the medical sector to outsource its needs for nursing care attendants.