The impact of health maintenance organizations on improving cardiac surgery outcomes.

IF 2.6 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Therapeutic Advances in Cardiovascular Disease Pub Date : 2024-01-01 DOI:10.1177/17539447241299193
Kimberly L Skidmore, Farrah E Flattmann, Hayden Cagle, Sahar Shekoohi, Alan D Kaye
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Abstract

Background and objectives: California is one of a few states with mandatory reporting of mortality after coronary artery bypass graft (CABG) surgery. The Affordable Care Act restructured Medicaid, preferentially penalizing patients experiencing poverty because payments to hospitals for isolated surgical events overshadow payments to primary care clinicians. We propose outcomes are superior when hospital networks organize surgical episodes within the context of primary care inside that same network.

Design and methods: We listed factors impacting outcomes after CABG. CABG surgery outcome depends upon the integration of issues beginning years preoperatively and extending for decades. Therefore, we studied one health maintenance organization (HMO) from 2009 to 2020 compared to surrounding individual hospitals. We divided 58 hospitals in Northern California in 2009 according to income and population. To focus on changes introduced because of COVID-19, we compared a public database for the subset in 2009 for any relationship between poverty in a zip code and low volumes of CABG in that area to overall mortality in 2020. First, we defined low-income zip codes as those with a higher rate of poverty than the state average or with a lower per capita average income, per Census Bureau. Second, low volume was defined as a population under 165,000 because a hospital adjacent to a larger community can easily transfer care, sharing surgeons and processes. Third, we defined low volume as fewer than 180 CABG per year.

Results: Our qualitative evidence synthesis reveals that informal communication and hospital HMO policies improve CABG outcomes. In our small pilot data, Chi-square analysis showed higher crude mortality rates in 1507 CABG in 17 low-income low-volume hospitals versus 8163 CABG in the other 41 Northern California hospitals (2.72% vs 1.69%, p = 0.0064). Low-income low-volume hospitals had a relative mortality risk of 1.61 (95% CI: 1.14-2.27). These hospitals had a mean mortality rate of 3.79%, readmission 11.12%, and stroke 1.84%. A patient undergoing CABG in a low-income low-volume hospital has a 61% higher chance of dying. The number needed to treat analysis shows that one life can potentially be saved for every 97 patients referred to another institution.

Conclusion: We describe features of an HMO that contribute to up to fourfold lower mortality rates.

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健康维护组织对改善心脏手术效果的影响。
背景和目的:加利福尼亚州是少数几个强制报告冠状动脉旁路移植术(CABG)术后死亡率的州之一。平价医疗法案》(Affordable Care Act)对医疗补助(Medicaid)进行了调整,优先惩罚贫困患者,因为向医院支付的单独手术费用超过了向初级保健临床医生支付的费用。我们建议,当医院网络在同一网络内的初级医疗背景下组织手术时,疗效会更好:我们列出了影响 CABG 术后效果的因素。CABG 手术的疗效取决于术前数年至数十年间各种问题的整合。因此,我们将一家健康维护组织(HMO)从 2009 年到 2020 年的情况与周围的单个医院进行了比较研究。2009 年,我们根据收入和人口对北加州的 58 家医院进行了划分。为了关注 COVID-19 带来的变化,我们比较了 2009 年该子集的公共数据库,以了解某一地区的贫困和该地区 CABG 手术量低与 2020 年总体死亡率之间的关系。首先,根据人口普查局的数据,我们将低收入邮编定义为贫困率高于州平均水平或人均收入低于州平均水平的邮编。其次,我们将人口数量少定义为人口数量低于 165,000 人,因为毗邻较大社区的医院可以方便地转移医疗服务,共享外科医生和流程。第三,我们将低手术量定义为每年少于 180 例 CABG:我们的定性证据综述显示,非正式沟通和医院 HMO 政策可改善 CABG 的治疗效果。在我们的小型试点数据中,Chi-square 分析显示,17 家低收入低容量医院的 1507 例 CABG 粗死亡率高于北加州其他 41 家医院的 8163 例 CABG 粗死亡率(2.72% vs 1.69%,P = 0.0064)。低收入低流量医院的相对死亡风险为 1.61(95% CI:1.14-2.27)。这些医院的平均死亡率为 3.79%,再入院率为 11.12%,中风率为 1.84%。在低收入、低流量医院接受 CABG 的患者死亡几率要高出 61%。治疗所需人数分析表明,每 97 名患者转诊到另一家医院,就有可能挽救一条生命:我们描述了 HMO 的特点,这些特点使死亡率降低了四倍。
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来源期刊
Therapeutic Advances in Cardiovascular Disease
Therapeutic Advances in Cardiovascular Disease CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
3.50
自引率
0.00%
发文量
11
审稿时长
9 weeks
期刊介绍: The journal is aimed at clinicians and researchers from the cardiovascular disease field and will be a forum for all views and reviews relating to this discipline.Topics covered will include: ·arteriosclerosis ·cardiomyopathies ·coronary artery disease ·diabetes ·heart failure ·hypertension ·metabolic syndrome ·obesity ·peripheral arterial disease ·stroke ·arrhythmias ·genetics
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