• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

患者年龄数据隐私框架演变的最佳实践:人口普查数据研究

Best Practices in Evolving Privacy Frameworks for Patient Age Data: Census Data Study.

作者信息

Moffatt Colin, Leshin Jonah

机构信息

Datavant, San Francisco, CA, United States.

出版信息

JMIR Form Res. 2024 Mar 25;8:e47248. doi: 10.2196/47248.

DOI:10.2196/47248
PMID:38526530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11002729/
Abstract

BACKGROUND

Over the previous 4 decennial censuses, the population of the United States has grown older, with the proportion of individuals aged at least 90 years old in the 2010 census being more than 2 and a half times what it was in the 1980 census. This suggests that the threshold for constraining age introduced in the Safe Harbor method of the HIPAA (Health Insurance Portability and Accountability Act) in 1996 may be increased without exceeding the original levels of risk. This is desirable to maintain or even increase the utility of affected data sets without compromising privacy.

OBJECTIVE

In light of the upcoming release of 2020 census data, this study presents a straightforward recipe for updating age-constrained thresholds in the context of new census data and derives recommendations for new thresholds from the 2010 census.

METHODS

Using census data dating back to 1980, we used group size considerations to analyze the risk associated with various maximum age thresholds over time. We inferred the level of risk of the age cutoff of 90 years at the time of HIPAA's inception in 1996 and used this as a baseline from which to recommend updated cutoffs.

RESULTS

The maximum age threshold may be increased by at least 2 years without exceeding the levels of risk conferred in HIPAA's original recommendations. Moreover, in the presence of additional information that restricts the population in question to a known subgroup with increased longevity (for example, restricting to female patients), the threshold may be increased further.

CONCLUSIONS

Increasing the maximum age threshold would enable the data user to gain more utility from the data without introducing risk beyond what was originally envisioned with the enactment of HIPAA. Going forward, a recurring update of such thresholds is advised, in line with the considerations detailed in the paper.

摘要

背景

在过去的四次十年一度的人口普查中,美国人口老龄化加剧,2010年人口普查中90岁及以上人口的比例是1980年人口普查时的两倍半多。这表明,1996年《健康保险流通与责任法案》(HIPAA)安全港方法中引入的年龄限制阈值可以提高,且不会超过原来的风险水平。这样做有利于在不损害隐私的前提下维持甚至提高受影响数据集的效用。

目的

鉴于即将发布的2020年人口普查数据,本研究提出了一个简单的方法,用于在新的人口普查数据背景下更新年龄限制阈值,并从2010年人口普查中得出新阈值的建议。

方法

利用可追溯到1980年的人口普查数据,我们基于群体规模因素分析了不同最大年龄阈值随时间的风险。我们推断了1996年HIPAA颁布时90岁年龄截止点的风险水平,并以此为基线推荐更新后的截止点。

结果

最大年龄阈值可以至少提高2岁,而不会超过HIPAA原始建议中的风险水平。此外,如果有额外信息将相关人群限制在已知的长寿亚组(例如,仅限于女性患者),则阈值可以进一步提高。

结论

提高最大年龄阈值将使数据使用者能够从数据中获得更多效用,而不会引入超出HIPAA颁布时最初设想的风险。展望未来,建议根据本文详述的因素定期更新此类阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/190db4c839d3/formative_v8i1e47248_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/27a39a65abda/formative_v8i1e47248_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/c644d740283e/formative_v8i1e47248_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/7bf7a00ff2f4/formative_v8i1e47248_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/190db4c839d3/formative_v8i1e47248_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/27a39a65abda/formative_v8i1e47248_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/c644d740283e/formative_v8i1e47248_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/7bf7a00ff2f4/formative_v8i1e47248_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/888a/11002729/190db4c839d3/formative_v8i1e47248_fig4.jpg

相似文献

1
Best Practices in Evolving Privacy Frameworks for Patient Age Data: Census Data Study.患者年龄数据隐私框架演变的最佳实践:人口普查数据研究
JMIR Form Res. 2024 Mar 25;8:e47248. doi: 10.2196/47248.
2
HIPAA Privacy 101: essentials for case management practice.《健康保险流通与责任法案》隐私基础101:病例管理实践要点
Lippincotts Case Manag. 2003 Jan-Feb;8(1):14-23. doi: 10.1097/00129234-200301000-00004.
3
Important Considerations for the Institutional Review Board When Granting Health Insurance Portability and Accountability Act Authorization Waivers.机构审查委员会在批准《健康保险流通与责任法案》授权豁免时的重要考量因素。
Ochsner J. 2020 Spring;20(1):95-97. doi: 10.31486/toj.19.0083.
4
HIPAA--a real world perspective.《健康保险流通与责任法案》——现实视角
Radiol Manage. 2001 Mar-Apr;23(2):29-37; quiz 38-40.
5
Impact of HIPAA's minimum necessary standard on genomic data sharing.HIPAA 最小必要标准对基因组数据共享的影响。
Genet Med. 2018 Apr;20(5):531-535. doi: 10.1038/gim.2017.141. Epub 2017 Sep 14.
6
Roadmap to HIPAA: keeping occupational health nurses on track.《健康保险流通与责任法案》指南:让职业健康护士步入正轨
AAOHN J. 2004 Apr;52(4):169-77; quiz 178-9.
7
The Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the pharmacy benefit: implications for health plans, PBMs, and providers.1996年《健康保险流通与责任法案》(HIPAA)与药品福利:对健康计划、药品福利管理机构及医疗服务提供者的影响
J Manag Care Pharm. 2003 Jan-Feb;9(1):66-71. doi: 10.18553/jmcp.2003.9.1.66.
8
Complying with the Health Insurance Portability and Accountability Act. Privacy standards.遵守《健康保险流通与责任法案》。隐私标准。
AAOHN J. 2001 Nov;49(11):501-7.
9
Update on HIPAA privacy: are you ready?《健康保险流通与责任法案》隐私条款更新:你准备好了吗?
Genet Med. 2003 May-Jun;5(3):183-6. doi: 10.1097/01.GIM.0000068625.72823.86.
10
Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule.永远不要因为年龄而放弃匿名:通过 HIPAA 隐私规则共享人口统计数据的统计标准。
J Am Med Inform Assoc. 2011 Jan-Feb;18(1):3-10. doi: 10.1136/jamia.2010.004622.

本文引用的文献

1
Twenty Years of the Health Insurance Portability and Accountability Act Safe Harbor Provision: Unsolved Challenges and Ways Forward.《医疗保险可携性与责任法案》安全港条款二十年:未解挑战与前行之路
JMIR Med Inform. 2022 Aug 3;10(8):e37756. doi: 10.2196/37756.
2
Demographics in the 2020s-Longevity as a challenge for pharmaceutical drug development, prescribing, dispensing, patient care and quality of life.21世纪20年代的人口统计学——长寿对药物研发、开处方、配药、患者护理及生活质量构成挑战。
Br J Clin Pharmacol. 2020 Oct;86(10):1899-1903. doi: 10.1111/bcp.14511.
3
The demographics of aging.
Aging Clin Exp Res. 2002 Jun;14(3):159-69. doi: 10.1007/BF03324431.