Auditing Cause of Death Reporting to Australia and New Zealand's Dialysis and Transplant Registry: A Retrospective Cohort Study.

IF 2.4 4区 医学 Q2 UROLOGY & NEPHROLOGY Nephrology Pub Date : 2025-01-01 DOI:10.1111/nep.14428
Alia N Tun Ismail, Nehal Chavan, Eric H K Au, Sarah So
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Abstract

Aim: National data registries provide a valuable source of data for epidemiological research but may be subject to inaccuracies. Whilst studies have compared agreement between cause of death (COD) data from Australia and New Zealand's dialysis and transplant registry (ANZDATA) to other databases, no studies have manually compared agreement with electronic medical records (EMR). This study aimed to assess the agreement between COD for dialysis patients in the Western Sydney renal service according to ANZDATA and EMR.

Methods: We conducted a retrospective cohort study on dialysis patients from the Western Renal Service who died between January 1, 2016 and July 31, 2022, inclusive. We matched ANZDATA patient records to our service's EMR, extracted data on COD from EMR and coded COD according to ANZDATA's categorisation system. Agreement between COD from EMR and ANZDATA was assessed using kappa statistics.

Results: There were 709 deaths in the study period. 449 (63.3%) were male and 260 (36.7%) were female. Of the 539 patients with available records, the most common COD categories were cardiovascular (201, 37%) and infection (154, 29%). There was poor agreement between individual COD from EMR and ANZDATA (kappa of 0.39). However, this improved when comparing broader COD categories (kappa of 0.53). Subgroup analysis showed no difference in agreement between males and females or patients who died between 2016-2018 and 2019-2022.

Conclusion: There is poor agreement between ANZDATA and EMR for individual COD. However, agreement improved to moderate using broader categories of COD, suggesting higher accuracy when utilising registry COD data for epidemiological analysis.

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澳大利亚和新西兰透析和移植登记处的死因审计报告:一项回顾性队列研究。
目的:国家数据登记处为流行病学研究提供了宝贵的数据来源,但可能存在不准确性。虽然有研究比较了澳大利亚和新西兰透析和移植登记处(ANZDATA)的死因(COD)数据与其他数据库之间的一致性,但没有研究手动比较电子医疗记录(EMR)的一致性。本研究旨在根据ANZDATA和EMR评估西悉尼肾服务透析患者COD之间的一致性。方法:我们对2016年1月1日至2022年7月31日期间死亡的西部肾脏服务透析患者进行了回顾性队列研究。我们将ANZDATA患者记录与我们服务的电子病历进行匹配,从电子病历中提取COD数据,并根据ANZDATA的分类系统对COD进行编码。采用kappa统计方法评估EMR和ANZDATA的COD是否一致。结果:研究期间死亡709例。男性449例(63.3%),女性260例(36.7%)。在539例有记录的患者中,最常见的COD类别是心血管(201,37%)和感染(154,29%)。EMR和ANZDATA的个体COD之间的一致性较差(kappa为0.39)。然而,当比较更广泛的COD类别时,这种情况有所改善(kappa为0.53)。亚组分析显示,男性和女性或2016-2018年和2019-2022年死亡的患者之间的一致性没有差异。结论:ANZDATA与EMR对个体COD的一致性较差。然而,使用更广泛的COD类别时,一致性提高到中等水平,表明使用登记COD数据进行流行病学分析时准确性更高。
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来源期刊
Nephrology
Nephrology 医学-泌尿学与肾脏学
CiteScore
4.50
自引率
4.00%
发文量
128
审稿时长
4-8 weeks
期刊介绍: Nephrology is published eight times per year by the Asian Pacific Society of Nephrology. It has a special emphasis on the needs of Clinical Nephrologists and those in developing countries. The journal publishes reviews and papers of international interest describing original research concerned with clinical and experimental aspects of nephrology.
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