Suppr超能文献

美国初级保健医生密度与死亡率。

Primary care physician density and mortality in the United States.

机构信息

Department of Medicine, Creighton University, Omaha, NE USA.

Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.

出版信息

J Natl Med Assoc. 2024 Oct;116(5):600-606. doi: 10.1016/j.jnma.2024.10.001. Epub 2024 Oct 16.

Abstract

BACKGROUND

Geographic physician availability differences are associated with healthcare outcomes. However, the association between primary care physician (PCP) density and mortality outcomes is less well-established.

METHODS

The study analyzed 2019 county-level nonfederal PCP data from the Health Resources and Services Administration Area Health Resource File and mortality data using the CDC WONDER (Wide-ranging Online Data for Epidemiologic Research). All-cause and cardiovascular disease (CVD)- related age-adjusted mortality rates (AAMR) per 100,000 population stratified by the number of PCPs per 100,000 quartiles were extracted. Using AAMRs as continuous variables, linear regression was performed to determine the association of AAMRs with PCPs per 100,000 (reference, first quartile), adjusting for the social vulnerability index (SVI).

RESULTS

A total of 3142 counties were included in the analysis. Among counties stratified by PCPs per 100,000 quartiles, all-cause AAMRs were 828 (95% CI, 824-832) in the first quartile, 798 (95% CI, 796-801) in the second quartile, 737 (95% CI, 735-739) in the third quartile, and 679 (95% CI, 678-680) in the fourth quartile. Similar trends were seen in CVD-related AAMRs, which were 446 (95% CI, 443-449), 439 (95% CI, 437-441), 403 (95% CI, 402-404), and 365 (95% CI, 364-366), respectively. Counties without PCP (221, included in first quartile) had all-cause and CVD-related AAMR of 797 (95%CI, 783-812) and 430 (95%CI, 419-440), respectively. Compared with the first quartile, SVI-adjusted analyses showed β-coefficient (95%CI) of all-cause mortality for the second, third, and fourth quartiles of -4.11 (95% CI, -18.31, 10.08), -35.37 (95% CI, -49.57, -21.17) and -85.79 (95% CI, -100.10, -71.48). Similar results were observed for CVD-related AAMR.

CONCLUSION

Higher PCP per 100,000 is generally associated with better all-cause and CVD-associated mortality outcomes, however complex factors likely play a role in determining these outcomes in counties with lower PCP per 100,000, which warrant further investigation.

摘要

背景

地理医生的可及性差异与医疗保健结果有关。然而,初级保健医生(PCP)密度与死亡率结果之间的关联尚未得到充分证实。

方法

本研究分析了 2019 年卫生资源和服务管理局地区卫生资源文件中的县级非联邦 PCP 数据以及使用疾病预防控制中心 WONDER(广泛在线数据用于流行病学研究)的数据。从每 10 万人口的 PCP 数量的第 1 至第 4 个四分位数中提取每 10 万人口的全因和心血管疾病(CVD)相关年龄调整死亡率(AAMR)。使用 AAMR 作为连续变量,进行线性回归以确定 AAMR 与每 10 万人口的 PCP 之间的关联(参考,第 1 四分位数),并调整社会脆弱性指数(SVI)。

结果

共纳入 3142 个县进行分析。在按 PCP 每 10 万划分的四分位区间的县中,全因 AAMR 分别为第 1 四分位(95%CI,824-832)的 828(95%CI,824-832)、第 2 四分位(95%CI,826-830)的 798(95%CI,826-830)、第 3 四分位(95%CI,828-831)的 737(95%CI,828-831)和第 4 四分位(95%CI,830-833)的 737(95%CI,830-833)。在 CVD 相关的 AAMR 中也观察到类似的趋势,分别为 446(95%CI,443-449)、439(95%CI,437-441)、403(95%CI,402-404)和 365(95%CI,364-366)。没有 PCP 的县(221 个,包括在第 1 四分位)的全因和 CVD 相关 AAMR 分别为 797(95%CI,783-812)和 430(95%CI,419-440)。与第 1 四分位相比,SVI 调整分析显示第 2、3 和第 4 四分位的全因死亡率的β系数(95%CI)分别为-4.11(95%CI,-18.31,10.08)、-35.37(95%CI,-49.57,-21.17)和-85.79(95%CI,-100.10,-71.48)。CVD 相关 AAMR 也观察到类似的结果。

结论

每 10 万人口中较高的 PCP 通常与更好的全因和 CVD 相关死亡率结果相关,但在每 10 万人口中 PCP 较低的县中,复杂的因素可能在确定这些结果方面发挥作用,这需要进一步研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验