研究纽约和加利福尼亚住院成年人健康的社会决定因素及其与死亡率的关系的队列研究。

BMJ public health Pub Date : 2025-03-22 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2024-001266
Andrew Wang, Dustin French, Bernard Black, Abel N Kho
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引用次数: 0

摘要

背景:由于健康的社会决定因素(SDOH),美国成年人在健康方面面临着显著的差异。虽然SDOH和死亡率之间的联系是公认的,但它们对住院后结果的影响却鲜为人知。方法:在2000-2009年期间在纽约(NY)和2000-2006年期间在加州(CA)住院的18-84岁成年人中,我们使用Kaplan-Meier生存分析和多变量Cox比例风险模型来估计死亡率HR(调整HR (aHR))与住院后1年死亡率和社区水平SDOH组合指数(包括六个成分域)之间的关系。种族和Charlson共病指数。我们还研究了纽约州和加利福尼亚州按住院条件分组的亚群(慢性或急性疾病亚组)。结果:在纽约州,总体1年死亡率为8.9%(慢性病为9.7%,急性病为13.2%)。在加州,总体1年死亡率为8.3%(慢性病为12.6%,急性疾病为15.8%)。在这两个州,最佳(Q4) SDOH(综合指数)患者的1年死亡风险明显低于最差(Q1为参考类别)患者。在纽约州,aHR为0.964(结论:本研究表明SDOH恶化与住院后死亡率升高之间存在显著关联。研究结果强调了社区一级SDOH在患者护理计划和出院策略中的重要性,以减少健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cohort study examining social determinants of health and their association with mortality among hospitalised adults in New York and California.

Background: Adults in the US face significant disparities in health as a result of the social determinants of health (SDOH). While the link between SDOH and mortality is well-established, their impact on outcomes after hospitalisation is less understood.

Methods: Among adults aged 18-84 years hospitalised in New York (NY) during the period of 2000-2009 and in California (CA) from during the period of 2000-2006, we examined the association between 1-year post-hospitalisation mortality and a community-level SDOH combined index (comprising six component domains) using Kaplan-Meier survival analysis and multivariable Cox proportional-hazard models to estimate the mortality HR (adjusted HR (aHR)) adjusted for age, gender, race, ethnicity and Charlson Comorbidity Index. We also studied subcohorts in NY and CA grouped by hospitalisation conditions (subgroups with chronic or acute disease).

Results: In NY, the overall 1-year mortality rate was 8.9% (9.7% for chronic diseases and 13.2% for acute diseases). In CA, the overall 1-year mortality rate was 8.3% (12.6% for chronic diseases and 15.8% for acute diseases). In both states, the 1-year risk of death was significantly lower for those in the best (Q4) SDOH (combined index) compared with the worst (Q1 is the reference category). In NY, the aHR was 0.964 (p<0.001 and 95% CI 0.950 to 0.978), while in CA, the aHR: 0.83 (p<0.001 and 95% CI 0.825 to 0.842). Similar patterns were observed for the disease cohorts in both states. The Economic and Education domains of SDOH showed stronger and more consistent associations with mortality risk compared with the domains of Neighbourhood, Food Access, Community and Social Context, and Healthcare.

Conclusions: This study demonstrates a significant association between worse SDOH and higher post-hospitalisation mortality. The findings emphasise the importance of community-level SDOH in patient care planning and discharge strategies to reduce health disparities.

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