揭示联系:心力衰竭患者健康、生活质量和治疗负担的社会决定因素。

IF 1.3
American journal of cardiovascular disease Pub Date : 2025-04-25 eCollection Date: 2025-01-01 DOI:10.62347/VCZP1725
Inderpreet Singh, Rubina Shah, Madison Stoms, Charlotte Fowler, Ammar Vohra, Laverne Yip, Chee Yao Lim, Kenneth Johan, Gustavo E Garcia-Franceschini, Alexander Mandadjiev, Alejandrina Cuello Ramirez, Aurelia Hernandez, Moiz Kasubhai, Vihren Dimitrov, Shavy Nagpal, Ying Wei, Vidya Menon
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引用次数: 0

摘要

目的:黑人和西班牙裔美国患者心力衰竭(HF)发生率增加,住院率和年龄调整死亡率较高。我们的研究旨在检查健康的社会决定因素(SDoH),与医疗保健提供者/医疗保健系统分配给患者的工作量相关的困难(以治疗负担(BoT)衡量)和生活质量(QoL)之间的关系,主要是在南布朗克斯的少数低收入心力衰竭患者人群中。方法:纳入265例心衰失代偿住院患者。在基线时对患者进行问卷调查,以评估SDoH、QoL (EQ-5D)和BoT(患者治疗经验和自我管理- pets问卷)。我们拟合了10个零膨胀负二项模型,以确定总SDOH和总生活质量与每个BoT域之间的关系。我们模拟了患者在给定领域报告无负担的可能性以及报告负担的患者中负担的严重程度。结果:我们队列的平均年龄为63.7岁,其中66%为男性,50%为西班牙裔,48%为黑人。西班牙语是主要的交流语言。平均Charlson合并症指数为5.32 (SD = 2.6)。72%的患者出现心力衰竭伴射血分数降低(HFrEF)。平均综合SDoH得分为3.4 (SD = 1.9), 31%的队列报告支付账单有问题,28%的人有食品不安全,35%的人需要公共援助。在EQ-5D评估生活质量的5个领域中,88%的患者在5个领域中至少有一个领域出现中度至重度困难,23%的患者在5个领域中至少有一个领域出现重度困难。在对治疗负担(BoT)进行评估的十个领域中,从我们的队列中获得的最高中位数得分是医疗费用困难、角色和社会活动限制、获得医疗服务困难、医疗信息困难以及由于自我照顾而导致的身心疲惫。零膨胀模型发现,在10个领域中的6个领域中,较高的SDoH分数与一定程度的治疗负担之间存在显著关联,特别是在医疗费用困难和自我照顾困难干扰社会/日常活动的领域。此外,高SDoH得分也与10个领域中的7个领域的严重负担有关,特别是与理解医疗信息和医疗费用困难有关。较差的生活质量与10个域中6个域的BoT升高有关。生活质量与身心疲惫的负担以及就诊困难密切相关。结论:我们的研究结果强调了SDoH、QoL和BoT在驱动心力衰竭患者健康差异中的相互作用。SDoH与BoT呈正相关,说明SDoH对心衰患者的治疗经历和病情管理能力有影响。医疗费用方面的困难、理解医疗信息、跟踪医疗预约、影响工作、家庭和日常活动的自我护理责任以及由于自我护理而增加的身心疲劳是影响我们研究人群的主要领域。这些发现表明,卫生保健系统需要识别有风险的个体,并实施个体化策略,以减轻治疗给患者带来的负担。最小破坏性医学强调了解患者的观点并根据患者的日常生活量身定制治疗,这可能是向这些高危人群提供公平护理的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the link: social determinants of health, quality of life, and burden of treatment in heart failure patients.

Objectives: Black and Hispanic American patients have seen an increase in heart failure (HF) rates, with higher rates of hospitalizations and age-adjusted mortality. Our study aims to examine the associations between Social Determinants of Health (SDoH), difficulties associated with the workload assigned to the patients by healthcare providers/healthcare system measured as Burden of Treatment (BoT), and Quality of Life (QoL) in a predominantly minority, low income population of patients with heart failure in the South Bronx.

Methods: We included 265 patients hospitalized for HF decompensation. They were administered questionnaires to evaluate SDoH, QoL (EQ-5D), and BoT (Patient Experience with Treatment and Self-management-PETS questionnaire) at baseline. We fitted 10 zero-inflated negative binomial models to determine associations between total SDOH and total QoL with each BoT domain. We modelled the likelihood that a patient reports no burden on a given domain as well as the severity of the burden among patients who report burden.

Results: The mean age of our cohort was 63.7 years, with 66% male, 50% Hispanic ethnicity and 48% Black. Spanish was the predominant primary language of communication. Their mean Charlson Comorbidity Index was 5.32 (SD = 2.6). Heart failure with reduced ejection fraction (HFrEF) was present in 72% of our participating patients. The mean composite SDoH score was 3.4 (SD = 1.9), with 31% of the cohort reporting problems paying their bills, 28% with food insecurity, and 35% requiring public assistance. Among the 5 domains measured by EQ-5D for evaluating QoL, moderate to severe difficulty was experienced by 88% of our cohort in at least one of the five domains, and severe difficulty in at least one of the five domains was reported in 23% of our patients. Of the ten domains evaluated for Burden of Treatment (BoT), the highest median scores obtained from our cohort were for difficulty with medical expenses, role and social activity limitations, difficulty with accessing healthcare services, difficulty with medical information, and physical and mental exhaustion due to self-care. Zero-inflated models identified a significant association between higher SDoH scores and having some burden of treatment in 6 of the 10 domains, particularly in the domains of difficulty with healthcare expenses and difficulty with self-care interfering with social/daily activities. Additionally, high SDoH scores were also associated with greater severity of burden in 7 of the 10 domains, particularly relating to understanding medical information and difficulty with healthcare expenses. Poor QoL was associated with increased BoT in 6 of the 10 domains. QoL was strongly associated with the burdens of physical and mental exhaustion and difficulty with medical appointments.

Conclusions: Our findings highlight the interplay of SDoH, QoL and BoT in driving health disparities in heart failure patients. The positive correlation between SDoH and BoT demonstrates the impact that SDoH has on the treatment experiences of HF patients and their ability to manage their illness. Difficulty with healthcare expenses, understanding medical information, keeping track of medical appointments, self-care responsibilities affecting work, family and daily activities, and increased physical and mental fatigue due to self-care were the predominant domains affecting our study population. These findings signal the need for healthcare systems to identify at-risk individuals and implement individualized strategies to reduce the burden that treatment places on patients. Minimally Disruptive Medicine, which emphasizes understanding the patient's perspectives and tailoring treatment to the patient's daily life, may be an important tool in providing equitable care to these at-risk populations.

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American journal of cardiovascular disease
American journal of cardiovascular disease CARDIAC & CARDIOVASCULAR SYSTEMS-
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