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我们为什么需要健康信息?健康信息寻求目标(GAINS)问卷。

Why do we want health information? The goals associated with health information seeking (GAINS) questionnaire.

机构信息

Leibniz Institute for Psychology Information, Trier, Germany.

出版信息

Psychol Health. 2020 Mar;35(3):255-274. doi: 10.1080/08870446.2019.1644336. Epub 2019 Jul 24.

Abstract

Individual goals of health information seeking have been widely neglected by previous research, let alone systematically assessed. The authors propose that these goals may be classified on two dimensions, namely coping focus (problem versus emotion oriented) and regulatory focus (promotion versus prevention oriented). Based on this classification, the authors developed the 16-item Goals Associated with Health Information Seeking (GAINS) questionnaire measuring the four goals 'understanding', 'action planning', 'hope' and 'reassurance' on four scales, and a superordinate general need for health information. Three studies were conducted to assess the psychometric properties of the questionnaire. In the first two studies ( = 150 and  = 283), internal consistency of the scales was acceptable to very good, and all items had a satisfying discriminatory power. Factorial validity was corroborated by an acceptable model fit in confirmatory factor analyses. In the third study, which included a patient sample ( = 502), the questionnaire proved to be suitable for its target group and nomological relationships with personality as well as with situational variables providing evidence for construct validity. The GAINS is a reliable and valid assessment tool, which enables researchers and practitioners to identify an individual's goals related to health information seeking.

摘要

以往的研究广泛忽视了健康信息寻求的个体目标,更不用说对其进行系统评估了。作者提出,这些目标可以从两个维度进行分类,即应对焦点(问题导向和情绪导向)和调节焦点(促进导向和预防导向)。基于这一分类,作者开发了 16 项与健康信息寻求相关的目标(GAINS)问卷,该问卷在四个量表上测量了四个目标:“理解”、“行动计划”、“希望”和“安心”,以及一个更高层次的一般健康信息需求。进行了三项研究来评估问卷的心理测量特性。在前两项研究( = 150 和  = 283)中,量表的内部一致性是可以接受的,非常好,并且所有项目都具有令人满意的区分能力。验证性因素分析中的可接受模型拟合证实了因子有效性。在包括患者样本( = 502)的第三项研究中,该问卷被证明适合目标群体,与人格以及情境变量具有关联性,为其构建有效性提供了证据。GAINS 是一种可靠且有效的评估工具,使研究人员和从业者能够识别与健康信息寻求相关的个体目标。

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