共查询到20条相似文献,搜索用时 15 毫秒
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Pretzer M 《Medical economics》1997,74(21):35, 40, 43
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Goldberg MA 《Medical economics》1997,74(17):44-6, 52-4, 57
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Smith PW 《Medical economics》1992,69(8):81-2, 84, 89
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P Harsham 《Medical economics》1983,60(13):128-134
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Terry K 《Medical economics》1994,71(24):30-3, 37-8, 40
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Roland H. Ebel William Wagoner Henry F. Hrubecky 《Technological Forecasting and Social Change》1979,13(2):131-148
The societal impacts upon various sectors of the United States population resulting from the retardation of the cellular aging process in men and women is the subject of this study. Significant biomedical research advances of recent years, as well as future fruitful areas of bio-science exploration in genetic programming, parabiosis, vitamin therapy, body temperature control, calorie quality and quantity intake, and the control of free radicals in body compounds, indicate the life span of the present generation may be expanded by a considerable number of years. The potential impact upon various sectors of our societal structure and institutions would be enormous. This study proposes to evaluate and assess the impact of the resultant population alteration upon seven major social variables (employment, income, resource consumption, education, the social service load, social institutions, and legal problems). This will be analyzed over a number of ten year time segments.The study will attempt to determine the effects of longevity technology upon the social impact variables within the framework of five basic working lifetime scenarios as follows: (1) normal working lifetime, (2) extended working lifetime, (3) delayed working lifetime, (4) segmented working lifetime, and (5) divided working lifetime. Two computer models of the United States—a demographic and an econometric—will be used to systematically measure the implications of these scenarios for the social impact variables. 相似文献
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Pretzer M 《Medical economics》1998,75(4):47, 51, 55
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This study investigates how unemployment and income influence the length of time an individual remains in good health. This is a complex relationship since unemployment or low income deteriorates health but poor health can become a barrier to obtaining higher income or gaining re-employment. Data are from the British Household Panel Survey, using two measures of physical health: an index of mobility problems and a measure of self-assessed health. The results show that unemployment, low income and poor education adversely affect the time that people remain in good health. These results have important implications for public policy, particularly in an age of austerity when social protection mechanisms are under threat. In fact, the results suggest that to improve health and reduce health inequality, more investment needs to be directed at policies that enhance labour force participation, improve education and reduce income inequality. 相似文献
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Nursing intensity: needed today for more than staffing 总被引:1,自引:0,他引:1
P A Prescott 《Nursing economic$》1991,9(6):409-414
Today's nurse executives require classification systems with adequate versatility to meet both administrative and clinical practice needs. The Patient Intensity for Nursing Index (PINI) is a valid measure of the volume or amount of care and the complexity of nursing care delivered to patients. 相似文献
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Denning JJ 《Medical economics》1996,73(5):84, 87-84, 88