Burger Elsie Helena, van der Merwe Lize, Volmink Jimmy
Forensic Medicine Division, Faculty of Health Sciences, Stellenbosch University, Tygerberg, Western Cape.
S Afr Med J. 2007 Nov;97(11):1077-81.
To determine the frequency of errors in the cause of death sequence and to assess the completeness of information recorded on death notification forms (DNFs).
A population-based descriptive study.
All residents of two residential areas in the Cape Town metropole who died during the period 1 June 2003 to 31 May 2004.
We examined DNFs for pre-specified major and minor errors, assessed potential predictors of major errors using multivariate analysis, and assessed the DNFs for completeness in terms of particulars of the deceased, the informant and the health professional certifying death.
844 DNFs were evaluated. Errors were found in 91.7% (95% CI 89.7 - 93.4%) of DNFs, and 43.4% (95% CI 40.1 - 46.7%) had at least one major error, most commonly an illogical cause of death sequence. Factors that seemed to affect the frequency of major errors were the number of lines of the cause of death sequence that had been completed, the age, gender and area of residence of the deceased, and the type of facility where the DNF had been completed. Varying levels of completeness were found for different items of information with some questions such as the education, occupation, usual business and smoking history of deceased being largely ignored by health professionals.
An unacceptably high proportion of DNFs in the greater Cape Town area contain errors sufficiently serious to affect the accuracy of cause of death coding. This has far-reaching implications for the reliability of mortality data in South Africa. Educational, managerial and administrative interventions are urgently needed to improve the standard of DNF completion.
确定死亡原因顺序中的错误发生率,并评估死亡通知表(DNF)上所记录信息的完整性。
基于人群的描述性研究。
开普敦都会区两个居民区在2003年6月1日至2004年5月31日期间死亡的所有居民。
我们检查DNF是否存在预先指定的重大和微小错误,使用多变量分析评估重大错误的潜在预测因素,并从死者、 informant和证明死亡的卫生专业人员的详细信息方面评估DNF的完整性。
评估了844份DNF。在91.7%(95%可信区间89.7 - 93.4%)的DNF中发现了错误,43.4%(95%可信区间40.1 - 46.7%)至少有一个重大错误,最常见的是死亡原因顺序不合逻辑。似乎影响重大错误发生率的因素包括死亡原因顺序填写的行数、死者的年龄、性别和居住地区,以及填写DNF的机构类型。不同信息项目的完整性水平各不相同,一些问题,如死者的教育程度、职业、日常业务和吸烟史,在很大程度上被卫生专业人员忽视。
在大开普敦地区,DNF中存在高得令人无法接受的比例的错误,严重到足以影响死亡原因编码的准确性。这对南非死亡率数据的可靠性具有深远影响。迫切需要进行教育、管理和行政干预,以提高DNF填写的标准。