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Protocol of health screening related to occupational diseases in 100 000 workers in critical sectors: a cross-sectional study with worksite risk assessment

Yasin SM 1 , Ismail N 1 , Masngut MI 2 , Abdullah NN 1 , Yasin NE 3 , Omar M 4 Show all authors , Kasim SS 5 , Saiman A 6 , Muzaini K 1 , Elias A 7 , Samsudin EZ 1 , Ismail AI 8 , Shahadan S 9 , Abdullah KH 10 , Ismail I 11 , Taib KM 12 , Mohamad M 1 , Ruslan NH 13 , Malek MAA 2 , Anuar MR 14 , Zabidi NA 2 , Mohamed AS 2 , Kamarudin NI 2 , Abdul Manan MH 2 , Khai AFA 14 , Noor AFA 14 , Azzani M 15

Affiliations 

  • 1 Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus,47000 Sungai Buloh, Selangor, MALAYSIA
  • 2 Workplace Health and Safety Solutions Hub (WHaSSH), Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, MALAYSIA
  • 3 Section of Translation Studies and Interpreting, School of Humanities, Universiti Sains Malaysia, Penang, Penang, MALAYSIA
  • 4 Rehabilitation Discipline, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, 47000 Sungai Buloh, Selangor, MALAYSIA
  • 5 Department of Cardiology, Hospital Universiti Teknologi MARA (HUiTM), Puncak Alam, Selangor, Malaysia
  • 6 Collage of Engineering, Universiti Teknologi MARA, Shah Alam Campus, 40450 Shah Alam, Selangor, MALAYSIA
  • 7 OSHMED Solutions Sdn Bhd, Kajang, Selangor, MALAYSIA
  • 8 Cardiac Vascular and Lung Research Institute, Selangor, Malaysia
  • 9 Centre for Translational Research and Epidemiology (CenTRE), Hospital Al-Sultan Abdullah, Universiti Teknologi MARA, Puncak Alam Campus, 42300 Bandar Puncak Alam, Selangor, MALAYSIA
  • 10 Science Laboratory Unit, Department of Academic Affairs, Universiti Teknologi MARA, Arau Campus, 02600 Arau, Perlis, MALAYSIA
  • 11 Centre of Foundation Studies, Universiti Teknologi MARA, Dengkil, Selangor, Malaysia
  • 12 College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, MALAYSIA
  • 13 Faculty of Sport Science and Recreation, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA
  • 14 Department of Occupational Safety and Health Malaysia, Putrajaya, Wilayah Persekutuan, Malaysia
  • 15 Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus,47000 Sungai Buloh, Selangor, MALAYSIA dr_memeazzani@yahoo.com
BMJ Open, 2024 Aug 29;14(8):e083796.
PMID: 39209791 DOI: 10.1136/bmjopen-2023-083796

Abstract

BACKGROUND: 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.

METHODS AND ANALYSIS: 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.

ETHICS AND DISSEMINATION: 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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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