The Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, 32 Lincoln Square North, Carlton3053, Victoria, Australia.
LM Consulting, Tamborine Mountain, Australia.
Bull World Health Organ. 2023 Dec 1;101(12):777-785. doi: 10.2471/BLT.22.289036.
To evaluate the utility and quality of death registration data across countries.
We compiled routine death and cause of death statistics data from 2015-2019 from national authorities. We estimated completeness of death registration using the Adair-Lopez empirical method. The quality of cause of death data was assessed by evaluating the assignment of usable causes of death among people younger than 80 years. We grouped data into nine policy utility categories based on data availability, registration completeness and diagnostic precision.
Of an estimated 55 million global deaths in 2019, 70% of deaths were registered across 156 countries, but only 52% had medically certified causes and 42% of deaths were assigned a usable cause. In 54 countries, which are mostly high-income, there is complete and high-quality mortality data. In a further 29 countries, located across different regions, death registration is complete, but cause of death data quality remains suboptimal. Additionally, 37 countries possess functional death registration systems with cause of death data of poor to moderate quality. In 30 countries, death registration ranges from limited to nascent completeness, accompanied by poor or unavailable cause of death data. Furthermore, 38 countries lack accessible data altogether.
By implementing more proactive death notification processes, expanding the use of digitized data collection platforms, streamlining data compilation procedures and improving data quality assessment, governments could enhance the policy utility of mortality data. Encouraging the routine application of automated verbal autopsy methods is crucial for accurately determining the causes of deaths occurring at home.
评估各国死亡登记数据的实用性和质量。
我们从国家当局汇编了 2015 年至 2019 年的常规死亡和死因统计数据。我们使用 Adair-Lopez 经验方法估计死亡登记的完整性。通过评估 80 岁以下人群可用死因的分配情况,评估死因数据的质量。我们根据数据可用性、登记完整性和诊断精度,将数据分为九个政策实用类别。
在 2019 年估计的全球 5500 万例死亡中,156 个国家登记了 70%的死亡,但只有 52%的死亡有医学证明的死因,42%的死亡有可用死因。在 54 个国家(主要是高收入国家),有完整和高质量的死亡率数据。在另外 29 个国家(位于不同地区),死亡登记完整,但死因数据质量仍不理想。此外,37 个国家拥有功能齐全的死亡登记系统,但死因数据质量较差或中等。在 30 个国家,死亡登记从有限到初步完整,死因数据质量较差或不可用。此外,还有 38 个国家完全缺乏可访问的数据。
通过实施更积极的死亡通知程序,扩大数字化数据收集平台的使用,简化数据编制程序并提高数据质量评估,政府可以提高死亡率数据的政策实用性。鼓励常规应用自动化死因推断方法对于准确确定在家中发生的死亡原因至关重要。