Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus,47000 Sungai Buloh, Selangor, MALAYSIA.
Workplace Health and Safety Solutions Hub (WHaSSH), Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, MALAYSIA.
BMJ Open. 2024 Aug 29;14(8):e083796. doi: 10.1136/bmjopen-2023-083796.
Occupational diseases are one of the most important health problems related to employment However, in Malaysia, there are few epidemiological studies discussing these issues, especially among workers in the industry. For that, this study aimed to screen workers from high-risk industrial sectors, identify hazards in the workplace and recommend improvement measures in the workplace to prevent occupational diseases.
This is a 3-year project in which a survey of 100 000 workers from all 13 states in Malaysia will be conducted using a web-based screening tool that is comprised of two parts: occupational disease screening tool and hazard identification, risk assessment and risk control method. Data will be collected using a multistage stratified sampling method from 500 companies, including seven critical industrial sectors. The independent variables will be sociodemographic characteristics, comorbidities, previous medical history, high-risk behaviour and workplace profile. The dependent variable will be the types of occupational diseases (noise-induced hearing loss, respiratory, musculoskeletal, neurotoxic, skin and mental disorders). Subsequently, suggestions of referral for medium and high-risk workers to occupational health clinics will be attained. The approved occupational health service clinics/providers will make a confirmatory diagnosis of each case as deemed necessary. Subsequently, a walk-through survey to identify workplace hazards and recommend workplace improvement measures to prevent these occupational diseases will be achieved. Both descriptive and inferential statistics will be used in this study. Simple and adjusted binary regression will be used to find the determinants of occupational diseases.
This study has been approved by the MARA University of Technology Research Ethics Board. Informed, written consent will be obtained from all study participants. Findings will be disseminated to the Department of Occupational Health and Safety, involved industries, and through peer-reviewed publications.
职业病是与就业相关的最重要的健康问题之一。然而，在马来西亚，很少有流行病学研究讨论这些问题，尤其是在工业行业的工人中。为此，本研究旨在筛选来自高风险工业部门的工人，识别工作场所中的危害，并建议改善工作场所措施以预防职业病。
这是一个为期 3 年的项目，将使用基于网络的筛查工具对来自马来西亚 13 个州的 10 万名工人进行调查，该筛查工具由两部分组成：职业病筛查工具和危害识别、风险评估和风险控制方法。将采用多阶段分层抽样方法从 500 家公司（包括 7 个关键工业部门）收集数据。自变量将包括社会人口统计学特征、合并症、既往病史、高危行为和工作场所概况。因变量将是职业病（噪声聋、呼吸道、肌肉骨骼、神经毒性、皮肤和精神障碍）的类型。随后，将获得向职业健康诊所转诊中高危工人的建议。经批准的职业健康服务诊所/提供者将根据需要对每个病例进行确认诊断。随后，将进行现场调查以识别工作场所危害并建议改善措施以预防这些职业病。本研究将使用描述性和推断性统计。简单和调整后的二元回归将用于确定职业病的决定因素。
本研究已获得 MARA 大学技术研究伦理委员会的批准。将从所有研究参与者处获得知情、书面同意。研究结果将传达给职业健康与安全部门、参与的行业，并通过同行评审出版物进行传播。
