DYNAMICS OF PRACTICES AND CHALLENGES IN THE DOCUMENTATION OF WORK-RELATED MORTALITY: A QUALITATIVE STUDY IN HOSPITALS IN AGROINDUSTRIAL REGIONS OF JEMBER


Date Published : 15 September 2026

Contributors

Achmad Jaelani Rusdi

Universitas Jember
Author

Hadi Prayitno

Universitas Jember
Author

Isa Ma’rufi

Universitas Jember
Author

Dwi Prijatmoko

Universitas Jember
Author

Keywords

Agro-Industrial Sector Death certificate Occupational death

Proceeding

Track

General Track

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Copyright (c) 2026 International Symposium of Public Health and International Conference of Epidemiology Public Health

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

Background: The quality of death certificates has been widely studied; however, work-related mortality remains underexplored, particularly in high-risk agroindustrial regions. Globally, nearly 2 million people die annually from occupational factors, with Asia accounting for about 65%. In Indonesia, occupational accidents and diseases increased to 234,370 cases in 2021, including 6,552 deaths. Inaccurate documentation hinders evidence-based policymaking and equitable compensation. This study assessed gaps in the quality of work-related mortality documentation by describing recording practices, data management, and case determination dynamics in hospitals located in agroindustrial areas. Method: This exploratory qualitative study was conducted in 2024 across nine hospitals in Jember’s agroindustrial region. Data sources included 36 case documents of work-related deaths, 10 in-depth interviews with key informants, and one focus group discussion (FGD) with five participants. Thematic analysis was applied to examine documentation patterns across four workflow stages: identification, recording, processing, and reporting. Result: The study found dynamic variations at each stage of documentation. Accuracy was shaped by both enabling and inhibiting factors, which were categorised into four critical domains: (1) procedures, (2) infrastructure, (3) personnel, and (4) institutional environment and policies. These domains influenced how mortality data were identified, managed, and reported, revealing significant gaps between practice and policy expectations. Conclusion: The quality of work-related mortality documentation results from the interaction of multiple factors throughout the workflow. Strengthening procedures, infrastructure, and institutional support is essential to enhance reporting reliability. Recommendations include developing adaptive technical guidelines and reinforcing national policies to ensure accuracy and responsiveness in documenting occupational mortality.

References

Agrawal, S. N. (2017). How to write a correct death certificate and why? IOSR Journal of Dental and Medical Sciences (IOSR-JDMS), 16(2, Ver. IV), 3–7. https://doi.org/10.9790/0853-1602040307
Al Busaidi, S., Al Alawi, A. M., Al Masruri, R., Al Balushi, S., & Al-Badi, A. (2023). Quality of death certification based on the documented underlying cause of death: A retrospective study. Journal of Forensic and Legal Medicine, 97, 102547. https://doi.org/10.1016/j.jflm.2023.102547
Alam S, Mangare VK, Varshney LK. Evaluation of Errors in Medical Certificate of Cause of Death at a Tertiary Health Care Hospital in North India: An Original Research Study. Int J Sci Stud 2024;12(1):27-31.
Alipour, V., Moradi, G., Mohamadi Bolbanabad, A., Farshadi, S., & Safari, H. (2021). Assessing the accuracy of causes of death certification in Iran, 2015–2016. Public Health, 194, 128–133.
Alyazidi F, Shakely D, Alyazidi F, Alnasser LA, Petzold M, Hussain-Alkhateeb L (2024) Social and health system barriers: Investigating Circumstances of Mortality Categories (COMCATs) for deceased patients with T2DM in the subnational Saudi Arabia register. PLoS ONE 19(11): e0313956. https://doi.org/10.1371/journal. pone.0313956
Brian, G. (2021). Occupational health in Indonesia: The silent burden of work-related diseases. Asian Journal of Occupational Health, 12(3), 45–52.
Churcher CE, Dowie I (2020) How to verify the death of a patient. Nursing Standard. https://doi.org/10.7748/ns.2020.e11561
Falissard, B., Mortureux, P., Jougla, E., & Pavillon, G. (2020). Quality control of medical certification of cause of death in France: Review and perspectives. European Journal of Public Health, 30(5), 869–874.
Gamage, S., Rampatige, R., & Mikkelsen, L. (2021). Improving cause of death certification practices: lessons from the Data for Health Initiative. BMC Public Health, 21(1), 1–9.
Gizlenci, Ş., & Aybek, A. (2021). Fatal occupational accidents in agriculture: A global review. Safety Science, 143, 105403.
Haque et al.: Death certificate completion skills of hospital physicians in a developing country. BMC Health Services Research 2013 13:205 https://doi.org/10.1186/1472-6963-13-205
Hart, J. D., et al. (2020). Strategies to improve accuracy of cause of death data in low- and middle-income countries. The Lancet Global Health, 8(3), e277–e278.
Hoffman, J., Snyder, J., & Stroup, D. (2018). Machine learning approaches to mortality data: Enhancing cause of death classification. Journal of Biomedical Informatics, 86, 88–94.
Hoyert, D. L. (2020). The accuracy of death certificate data for mortality surveillance. National Vital Statistics Reports, 69(8), 1–19.
International Labour Organization (ILO) & World Health Organization (WHO). (2021). Almost 2 million people die from work-related causes each year. Geneva: WHO & ILO. Available at: https://www.who.int/news/item/17-09-2021-who-ilo-almost-2- million-people-die-from-work-related-causes-each-year (Accessed 28 July 2025).
Junkes, M. B., Rodrigues, C. G., & Schneider, I. (2024). Occupational health risks in agroindustry: Systematic review and policy implications. Occupational Medicine International, 9(2), 77–85.
Kemnaker RI. (2022). The Indonesian National Occupational Safety and Health Profile 2022. Jakarta: Kementerian Ketenagakerjaan Republik Indonesia. Available at: https://satudata.kemnaker.go.id (Accessed 28 July 2025).
Kim, H., Lee, S., & Cho, J. (2020). Machine-learning model to predict the cause of death using a stacking ensemble method for observational data. Journal of Biomedical Informatics, 109, 103517.
Kumala, R., Yudianto, A., & Solichin, S. (2020). Forensic identification of workplace accidents causing death (A case report). Advances in Social Science, Education and Humanities Research, 499, 242–248. In Proceedings of the 2nd International Conference on Law, Governance and Social Justice (ICOLGAS 2020). Atlantis Press. https://doi.org/10.2991/assehr.k.201209.308
Lermen, J., Wegner, A., & Fritschi, L. (2023). Agricultural work and occupational mortality: A comparative global analysis. International Archives of Occupational and Environmental Health, 96(1), 45–56.
Massari, S., Malpassuti, V. C., Binazzi, A., Paris, L., Gariazzo, C., & Marinaccio, A. (2022). Occupational Mortality Matrix: A Tool for Epidemiological Assessment of Work-Related Risk Based on Current Data Sources. International Journal of Environmental Research and Public Health, 19(9), 5652.
Meilia, P. D. I., Djasri, H., & Sanjaya, G. Y. (2024). Strategy to Improve Electronic Medical Certification of Cause of Death at Rumah Sakit Persahabatan, Jakarta, Indonesia. JMMR (Jurnal Medicoeticolegal Dan Manajemen Rumah Sakit), 13(2), 226–237. https://doi.org/10.18196/jmmr.v13i2.420
O’brien, B C., Harris, I B., Beckman, T J., Reed, D A., Cook D A. (2014) Standards for Reporting Qualitative Research: A Synthesis of Recommendations. Academic Medicine, Vol. 89, No. 9 / September 2014. 1245-1251. doi: 10.1097/ACM.0000000000000388
Petersen, M., Kjeldtoft, F. G., Christensen, E. F., Bøggild, H., & Lindskou, T. A. (2023). A classification system for identifying patients dead on ambulance arrival: A prehospital medical record review. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 31(1), 9. https://doi.org/10.1186/s13049-023-01171-0
Reuters. (2021). Almost 2 million people die from work-related causes each year – WHO, ILO. Reuters Health News. Available at: https://www.reuters.com/article/health-who-ilo-idUSL8N2QJ2U7 (Accessed 28 July 2025).
Singh, P., Yadav, R., & Patel, K. (2024). Occupational mortality trends in high-risk industries: A global perspective. Global Public Health, 19(1), 112–123.
Siraj, N., Lestari, A. D., Harsono, Y., & Saputra, D. (2022). Implementation of death certificate reporting policy in Sukagumiwang District, Indramayu Regency. Journal of Indonesia Law & Policy Review, 3(2), 81–85.
UN Global Compact. (2021). Occupational Safety and Health: A Priority for Asia. New York: United Nations Global Compact. Available at: https://www.unglobalcompact.org (Accessed 28 July 2025).
Vargas-Herrera, J., et al. (2023). Challenges in cause of death certification in developing countries: A systematic review. Health Policy and Planning, 38(1), 45–58.
Zaki, R., & Sobh, N. (2023). Improving medical certification of cause of death: Effective strategies and approaches based on experiences from the Data for Health Initiative. BMC Health Services Research, 23, 255.

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Achmad Jaelani Rusdi, A. J. R., Prayitno, H., Ma’rufi, I., & Prijatmoko, D. (2026). DYNAMICS OF PRACTICES AND CHALLENGES IN THE DOCUMENTATION OF WORK-RELATED MORTALITY: A QUALITATIVE STUDY IN HOSPITALS IN AGROINDUSTRIAL REGIONS OF JEMBER. International Symposium of Public Health and International Conference of Epidemiology Public Health, 38-48. https://e-conference.unair.ac.id/isoph/paper/view/1563