A Comparative Study of the Employment Model of Taiwan, United States of American, Japan and Germany

Autor: Shu-Jen Lu, 呂淑貞
Rok vydání: 2005
Druh dokumentu: 學位論文 ; thesis
Popis: 93
Employment can increase self-esteem, is important to everyone and especially for mental illness. It’s a basic human-right. The mental illness patient can be employment when they are stable and after rehabilitation. But due to stigma, the employment rate of the mental illness patient is very low. A new module of Employment, integration of vocational rehabilitation, training and supported employment, can increase the employment rate of mental illness patient. The data of government, the new patient of mental illness, is 10% increasing per year. It’s 9.24% in disabled people, the employment rate is only 4.9%. The age distribution is 15-64 year-old, 14.29% of disabled people. It is very difficult for a mental illness patient to have a job. A new module of employment for mental illness patient, including individual placement and support, is very important. We study the employment module of Taiwan, USA, Japan, and German, focus on benefit and policy. The methodology is Archival Research, compare the viewpoint of Japan, USA, and German. The culture and policy of Japan, the benefit of disable person in USA, are also important. The integration of sheltered workplace and enterprise in German, the wellbeing and money support are good enough. Our data revealed the medicare is combined with community, related to race, culture, and economy. The legislation are the same, mental illness patient is latest. The legislation is especially slow in Taiwan, competitive employment rate is lower than Japan and German. A new model of employment, integration of government and community, increasing rate and stability of employment, is important. They could decrease the hospital rate, increasing self-respect, integrated the rehabilitation system and medicare. The employment rate for mental illness patient would increase, especially for competitive job.
Databáze: Networked Digital Library of Theses & Dissertations