Occupational Health Literacy Scale (OHLS): development and validation of a domain-specific measuring instrument

比例(比率) 工作场所健康促进 健康素养 应用心理学 心理学 结构方程建模 读写能力 领域(数学分析) 一致性(知识库) 健康促进 知识管理 计算机科学 医疗保健 医学 护理部 公共卫生 人工智能 政治学 地理 数学 机器学习 教育学 地图学 法学 数学分析
作者
Julian Friedrich,Anne-Kristin Münch,Ansgar Thiel,Ulrich Mahlknecht,Gorden Sudeck
出处
期刊:Health Promotion International [Oxford University Press]
卷期号:38 (1) 被引量:7
标识
DOI:10.1093/heapro/daac182
摘要

Occupational health literacy (OHL) is a domain-specific approach that can empower people to make health-appropriate decisions in the work environment. OHL comprises the knowledge, skills and willingness of people to access and process health-related information and to apply it in work situations. The aim of this study was to evolve a conceptual model and validate a scale for OHL, that can be used in many sectors in the Western industrial countries, which does not yet exist. After piloting, item selection and alteration were carried out in a pretest with n = 163 working adults in diverse small- and medium-sized enterprises in Germany. The resulting OHL items were validated in a main survey with n = 828 participants working in small- and medium-sized enterprises and among them 47.5% people with migration background. The final 12-item questionnaire had good structural characteristics and is reliable and valid for measuring OHL. Using exploratory structural equation modeling, good fit indices (root mean square error of approximation = 0.063, comparative fit index = 0.940) confirmed a two-factor structure: (i) knowledge and skill-based processing of health information (internal consistency α = 0.88) and (ii) willingness and responsibility for occupational health (α = 0.74). The OHL scale fills the gap regarding domain-specific OHL questionnaires for working adults in diverse sectors in Western industrial countries. The Occupational Health Literacy Scale can be used to identify the needs of employees and companies and then to adapt and evaluate health promotion measures. Further research could include validation and use in other countries and large companies.
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