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生活质量的衡量II。从生活哲学到科学。

Measurement of quality of life II. From the philosophy of life to science.

作者信息

Ventegodt Søren, Merrick Joav, Andersen Niels Jørgen

机构信息

The Quality of Life Research Center, Copenhagen K, Denmark.

出版信息

ScientificWorldJournal. 2003 Oct 13;3:962-71. doi: 10.1100/tsw.2003.76.

Abstract

We believe it should be possible to make operational the philosophical ideas of the good life in order to make it the object of scientific research. The Quality of Life Research Center in Copenhagen, Denmark has therefore spent the last several years with these questions and tried to find practical and evidence-based scientific solutions. This paper describes the theoretical road taken in moving from the abstract philosophy of life to the actual questionnaire. It presents an important aspect of our work with the quality-of-life (QOL) concept though the last decade. We have developed the quality-of-life philosophy; the SEQOL, QOL5, and QOL1 questionnaires; the quality-of-life theory; and the quality-of-life research methodology. We carried out quality-of-life population surveys and developed techniques for improving quality of life with the chronically sick patient. This paper presents the struggle to create a rating scale for the generic measurement of the global quality of life, based on quality-of-life theory, derived from quality-of-life philosophy. The developed rating scale is a ratio scale combining a Likert scale, a visual analogue scale, and a numerical scale, to a reduced combination scale. This allows for the extraction of as much information from the respondents as possible without exhausting them unduly or demanding more than can be reasonably expected.

摘要

我们认为,应当能够将美好生活的哲学理念付诸实践,使其成为科学研究的对象。因此,丹麦哥本哈根的生活质量研究中心在过去几年一直在研究这些问题,并试图找到基于实践和证据的科学解决方案。本文描述了从抽象的生活哲学转向实际调查问卷所采取的理论路径。它展示了过去十年我们在生活质量(QOL)概念方面工作的一个重要方面。我们已经发展出了生活质量哲学、SEQOL、QOL5和QOL1调查问卷、生活质量理论以及生活质量研究方法。我们开展了生活质量人群调查,并开发了改善慢性病患者生活质量的技术。本文介绍了基于源自生活质量哲学的生活质量理论,为全面衡量全球生活质量创建一个评分量表的艰难过程。所开发的评分量表是一种比率量表,它将李克特量表、视觉模拟量表和数字量表结合成一个简化的组合量表。这使得能够从受访者那里提取尽可能多的信息,而不会过度消耗他们的精力或提出超出合理预期的要求。

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