Al-Busaidi Salim, Aly Eman, Al-Abri Mohammed, Al-Salmi Salim, Al-Hinai Abdullah, Al-Naqabi Omar, Al-Maskari Jawaher, Al-Mahroqi Marwa, Hashish Alaa, Doctor Henry, Rashidian Arash, Jabbour Jean, Al-Alawi Abdullah
Oman Medical Specialty Board, Internal Medicine Training Program, Muscat, Oman.
Department of Medicine, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Sultan Qaboos Univ Med J. 2025 May 2;25(1):218-224. doi: 10.18295/2075-0528.2821.
Mortality data is essential for global health policy and sustainable development goals, yet errors in death notifications, often exceeding 50%, challenge its accuracy. This is largely due to the lack of formal training among physicians and medical coders in issuing death notifications. This study conducting a national educational intervention and aimed to assess the outcomes of the intervention.
A 2-day workshop was held in Oman in June 2023 for physicians and medical coders, employing a pre- and post-assessment design. The training, developed by both international and national experts, covered aspects of mortality data quality, based on the International Form of Medical Certificate of Cause of Death and validated by the World Health Organization. The curriculum focused on correctly defining and sequencing the causes of death and identifying common certification errors.
A total of 39 individuals, including doctors (59%) and medical coders (41%), participated in the workshop. A comparison of pre- and post-workshop assessments revealed significant enhancements in understanding mortality data. The doctors generally outperformed the coders in these improvements. Participant feedback was overwhelmingly positive, with approximately 80% strongly agreeing on the clarity and relevance of the content, as well as the engaging nature of activities and exercises.
The intervention significantly improved the quality of mortality data by enhancing the accuracy of death certifications. This success was achieved through a collaborative effort, highlighting the model's potential for future online modules to extend its reach. This study underscores the importance of structured training in enhancing the utility of mortality data, contributing to better health system evaluation and policy-making.
死亡率数据对于全球卫生政策和可持续发展目标至关重要，但死亡通知中的错误常常超过50%，这对其准确性构成了挑战。这主要是由于医生和医学编码人员在发布死亡通知方面缺乏正规培训。本研究开展了一项全国性教育干预措施，并旨在评估该干预措施的效果。
2023年6月在阿曼为医生和医学编码人员举办了为期两天的研讨会，采用前后评估设计。该培训由国际和国内专家共同制定，基于《国际死亡原因医学证明书》涵盖了死亡率数据质量的各个方面，并得到了世界卫生组织的认可。课程重点在于正确定义和排列死亡原因以及识别常见的认证错误。
共有39人参加了研讨会，其中包括医生（59%）和医学编码人员（41%）。研讨会前后评估的比较显示，在对死亡率数据的理解方面有了显著提高。在这些改进方面，医生总体上表现优于编码人员。参与者的反馈绝大多数是积极的，约80%的人强烈认同内容的清晰度和相关性以及活动和练习的趣味性。
该干预措施通过提高死亡证明的准确性，显著改善了死亡率数据的质量。这一成功是通过共同努力实现的，凸显了该模式在未来在线模块扩大其覆盖面方面的潜力。本研究强调了结构化培训在提高死亡率数据效用方面的重要性，有助于更好地进行卫生系统评估和政策制定。
