Centre for Global Health Research (CGHR), St, Michael's Hospital and Dalla Lana School of Public Health, University of Toronto, Toronto M5B 1C5, Canada.
BMC Med. 2014 Feb 4;12:19. doi: 10.1186/1741-7015-12-19.
Most of the 48 million annual deaths in low- and middle-income countries (LMICs) occur without medical attention at the time of death so that the causes of death (COD) are largely unknown. A review of low-cost methods of obtaining nationally representative COD data is timely.
Despite clear historic evidence of their usefulness, most LMICs lack reliable nationally representative COD data. Indirect methods to estimate COD for most countries are inadequate, mainly because they currently rely on an average ratio of 1 nationally representative COD to every 850 estimated deaths in order to measure the cause of 25 million deaths across 110 LMICs. Direct measurement of COD is far more reliable and relevant for country priorities. Five feasible methods to expand COD data are: sample registration systems (which form the basis for the ongoing Million Death Study in India; MDS); strengthening the INDEPTH network of 42 demographic surveillance sites; adding retrospective COD surveys to the demographic household and health surveys in 90 countries; post-census retrospective mortality surveys; and for smaller countries, systematic assembly of health records. Lessons learned from the MDS, especially on low-cost, high-quality methods of verbal autopsy, paired with emerging use of electronic data capture and other innovations, can make COD systems low-cost and relevant for a wide range of childhood and adult conditions.
Low-cost systems to obtain and report CODs are possible. If implemented widely, COD systems could identify disease control priorities, help detect emerging epidemics, enable evaluation of disease control programs, advance indirect methods, and improve the accountability for expenditures of disease control programs.
在中低收入国家(LMICs),每年有 4800 万人在死亡时没有得到医疗关注,因此死因(COD)在很大程度上是未知的。及时审查获取具有成本效益的 COD 数据的方法具有重要意义。
尽管有明确的历史证据表明这些方法有用,但大多数 LMICs 缺乏可靠的全国代表性 COD 数据。大多数国家间接估计 COD 的方法都不充分,主要是因为它们目前依赖于 1 个全国代表性 COD 与 850 个估计死亡人数的平均比例,以便衡量 110 个 LMICs 中 2500 万人的死因。直接测量 COD 对于国家重点更为可靠和相关。扩大 COD 数据的五种可行方法是:样本登记系统(为印度正在进行的百万死亡研究(MDS)提供了基础);加强由 42 个人口监测站点组成的 INDEPTH 网络;在 90 个国家的人口家庭和健康调查中增加回顾性 COD 调查;人口普查后的回顾性死亡率调查;对于较小的国家,系统地汇编健康记录。MDS 吸取的经验教训,尤其是低成本、高质量的死因推断方法,加上电子数据采集和其他创新方法的新兴应用,可以使 COD 系统具有成本效益,适用于广泛的儿童和成人疾病。
获取和报告 COD 的低成本系统是可行的。如果广泛实施,COD 系统可以确定疾病控制重点,帮助发现新出现的流行病,使疾病控制项目得到评估,改进间接方法,并提高疾病控制项目支出的问责制。