No survival benefit to gaining private health insurance coverage for post-lung transplant care in adults with cystic fibrosis.

来自 PUBMED

作者:

Tumin DForaker RETobias JDHayes D Jr

展开

摘要:

The use of public insurance is associated with diminished survival in patients with cystic fibrosis (CF) following lung transplantation. No data exist on benefits of gaining private health insurance for post-transplant care among such patients previously using public insurance. The United Network for Organ Sharing database was used to identify first-time lung transplant recipients participating in Medicare or Medicaid, diagnosed with CF, and transplanted between 2005 and 2015. Survival outcomes were compared between recipients gaining private insurance after transplantation and those maintaining public coverage throughout follow-up. Since implementation of the lung allocation score, 575 adults with CF received lung transplantation funded by Medicare or Medicaid and contributed data on insurance status post-transplant. There were 128 (22%) patients who gained private insurance. Multivariable analysis of time-varying insurance status found no survival benefit of gaining private insurance (HR = 0.822; 95% CI = 0.525, 1.286; p = 0.390). Further analysis demonstrated that resuming public insurance coverage was detrimental, relative to gaining and keeping private insurance (HR = 2.315; 95% CI = 1.020, 5.258; p = 0.045). Survival disadvantages of lung transplant recipients with CF who have public health insurance were not ameliorated by a switch to private coverage for post-transplant care.

收起

展开

DOI:

10.1111/ctr.12696

被引量:

1

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(197)

参考文献(0)

引证文献(1)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读