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基于 Rasch 模型的葡萄牙劳动者健康与工作调查的编制与验证。

Development and Validation of a Health and Work Survey Based on the Rasch Model among Portuguese Workers.

机构信息

University Fernando Pessoa, Praça de Nove de Abril 349, 4249-004, Porto, Portugal.

Centre for Psychology at University of Porto, Porto, Portugal.

出版信息

J Med Syst. 2017 May;41(5):79. doi: 10.1007/s10916-017-0727-2. Epub 2017 Mar 29.

Abstract

The purpose of this study was to develop the Health and Work Survey (INSAT) and examine the validity of the discomfort rating scale. Data were collected from 706 Portuguese workers from six economic sectors with the support of the Health and Work Survey (INSAT - Inquérito Saúde e Trabalho). The INSAT is a self-administered questionnaire to assessing working conditions, health and wellbeing, and to provide information to the occupational health systems in the organisations. For the survey instrument validation, the Rasch Partial Credit Model (PCM) was used to analyse item fit statistics. From the application of PCM, Person Separation Reliability was obtained (0.8761) and the value can be considered very good (>0.8). From the statistical analysis, the Overall Model fit information, given by Outfit Mean square/Infit Mean square, is between 0.5 and 1.5, meaning "Productive for measurement" and "acceptable fit overall". The INSAT items can generate predictable response patterns. We recommend that the INSAT discomfort rating scale and some other items should be reviewed in future works. In any event, this tool proves to be useful in assessing the relationship between work and health and in evaluating key main risk factors, helping to prevent problems and improving occupational health systems.

摘要

本研究旨在开发健康与工作调查(INSAT),并检验不适感评分量表的有效性。数据来自六个经济部门的 706 名葡萄牙工人,调查由健康与工作调查(INSAT - Inquérito Saúde e Trabalho)支持。INSAT 是一种自我管理问卷,用于评估工作条件、健康和福利,并为组织中的职业健康系统提供信息。为了验证调查工具,使用了 Rasch 部分信用模型(PCM)来分析项目拟合统计数据。从 PCM 的应用中,获得了人员分离可靠性(0.8761),可以认为这个值非常好(>0.8)。从统计分析来看,整体模型拟合信息,由Outfit Mean square/Infit Mean square 给出,在 0.5 到 1.5 之间,意味着“对测量有帮助”和“整体拟合良好”。INSAT 项目可以产生可预测的反应模式。我们建议在未来的工作中对 INSAT 不适感评分量表和其他一些项目进行审查。无论如何,该工具在评估工作与健康之间的关系以及评估关键主要风险因素方面证明是有用的,有助于预防问题并改善职业健康系统。

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