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2
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J Natl Cancer Inst Monogr. 2014 Nov;2014(49):198-209. doi: 10.1093/jncimonographs/lgu018.
3
Healthy migrant and salmon bias hypotheses: a study of health and internal migration in China.健康移民和三文鱼偏差假说:对中国健康与国内迁移的研究。
Soc Sci Med. 2014 Feb;102:41-8. doi: 10.1016/j.socscimed.2013.11.040. Epub 2013 Nov 28.
4
The impact of patient follow-up on population-based survival rates.患者随访对基于人群的生存率的影响。
J Registry Manag. 2010 Fall;37(3):86-103.
5
Cancer survival among Latinos and the Hispanic Paradox.拉美裔人群的癌症存活率与西班牙裔悖论。
Cancer Causes Control. 2011 Apr;22(4):553-61. doi: 10.1007/s10552-011-9727-6. Epub 2011 Jan 29.

通过确认生命状态在数据库中查找“僵尸”。

Finding "Zombies" in Your Database by Confirming Vital Status.

机构信息

Alaska Cancer Registry, Anchorage, Alaska.

出版信息

J Registry Manag. 2023 Summer;50(2):57-59.

PMID:37575554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10414203/
Abstract

The Alaska Cancer Registry (ACR) conducted a study to identify and correct the vital status of certain cases in its database. These cases were reported as by the original reporting health care facility but were not identified as being deceased using routine death resources. Cases incorrectly reported as deceased are referred to here as "zombies," as they are the "living dead" in the registry database. Zombie cases are problematic as they contribute toward artificially high mortality rates and artificially low survival rates. They are the opposite of "immortals," a term used in the literature to indicate cases that are alive in the registry database but are actually deceased. To start the study, ACR first linked its registry database to the state mortality database, the Social Security Death Index (SSDI), and the National Death Index (NDI). ACR has 3 non-North American Association of Central Cancer Registries (NAACCR) flag fields indicating the status of the linkage with these 3 data sources. ACR was able to identify zombie candidates by selecting deceased cases that did not successfully link with any of these 3 mortality data sources. After all 3 linkages were completed, ACR identified 20 zombie candidates out of 19,590 deceased cases. ACR researched these patients in several state-specific databases and found that 14 of them were true zombies and changed their vital status to . Of the remaining 6 deceased cases, 3 died out of country, 2 died in state, and 1 died out of state. ACR recommends that other state registries consider adding these 3 non-NAACCR mortality database flag fields, as they would make searching for zombie cases fairly routine. It would also serve as a way to perform a quality control check on deceased cases that accidentally become alive again after consolidation with a new facility source record.

摘要

阿拉斯加癌症登记处(ACR)进行了一项研究,以确定和纠正其数据库中某些病例的生存状况。这些病例是由原报告医疗机构报告的,但未通过常规死亡资源确定为死亡。这里将错误报告为死亡的病例称为“僵尸病例”,因为它们是登记数据库中的“活死人”。僵尸病例是有问题的,因为它们导致人为的高死亡率和低生存率。它们与“不朽者”相反,“不朽者”是文献中用来表示在登记数据库中仍然存活但实际上已经死亡的病例的术语。为了开展这项研究,ACR 首先将其登记数据库与州死亡数据库、社会保障死亡索引(SSDI)和国家死亡索引(NDI)进行了链接。ACR 有 3 个非北美癌症登记协会(NAACCR)标志字段,用于指示与这 3 个数据源的链接状态。ACR 能够通过选择未与这 3 个死亡数据源中的任何一个成功链接的死亡病例来识别僵尸候选者。完成所有 3 个链接后,ACR 在 19590 例死亡病例中确定了 20 例僵尸候选者。ACR 在几个州特定的数据库中对这些患者进行了研究,发现其中 14 例是真正的僵尸病例,并将其生存状况改为“死亡”。在其余 6 例死亡病例中,有 3 例死于国外,2 例死于州内,1 例死于州外。ACR 建议其他州登记处考虑添加这 3 个非 NAACCR 死亡数据库标志字段,因为这将使查找僵尸病例变得相当常规。这也将成为一种对意外在与新医疗机构来源记录合并后再次“复活”的死亡病例进行质量控制检查的方法。