Socio-economic and insurance factors in preventive care: A two-stage weighted structural analysis

Florent Nkouaga
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Abstract

This study investigates the key determinants influencing the utilization of preventive health services among insured individuals in the United States following the implementation of the Affordable Care Act (ACA). Leveraging nationally representative data from the 2024 Financial Inclusion Survey, the research employs weighted logistic regression and Structural Equation Modeling (SEM) to analyze how perceived insurance coverage quality, access to a primary care physician, financial knowledge, and experiences with healthcare costs are associated with the uptake of no-cost preventive care. The findings reveal that individuals who report higher satisfaction with their insurance coverage, maintain ongoing relationships with primary care providers, and demonstrate greater financial literacy are more likely to engage in preventive health behaviors. Notably, while cost-related barriers are initially associated with increased utilization, their direct influence diminishes when financial knowledge is accounted for, highlighting the mitigating role of financial literacy. The SEM approach further clarifies the complex interplay between latent constructs such as perceived coverage quality and cost experiences, showing that these factors interact with each other and with other determinants to shape preventive care decisions. Importantly, once these structural and informational dimensions are considered, traditional demographic variables — such as race and gender — lose statistical significance, underscoring the greater impact of systemic and educational factors. These results suggest that policies aimed solely at eliminating financial barriers may be insufficient to maximize preventive care participation. Instead, fostering trust in insurance coverage, strengthening primary care relationships, and enhancing financial literacy are critical strategies for increasing preventive service utilization. By addressing the informational, relational, and economic dimensions of healthcare access, policymakers and stakeholders can more effectively promote preventive health engagement and advance population health outcomes.
预防保健中的社会经济和保险因素:两阶段加权结构分析
本研究调查了在实施平价医疗法案(ACA)后,影响美国参保个人使用预防性医疗服务的关键决定因素。利用来自2024年金融包容性调查的具有全国代表性的数据,该研究采用加权逻辑回归和结构方程模型(SEM)来分析感知保险覆盖质量、获得初级保健医生、财务知识和医疗保健成本经验如何与接受无成本预防性护理相关联。研究结果显示,那些对自己的保险覆盖面满意度较高、与初级保健提供者保持持续关系、并表现出更高的金融素养的个人更有可能参与预防性健康行为。值得注意的是,虽然与成本有关的障碍最初与提高利用率有关,但当考虑到金融知识时,它们的直接影响就会减弱,从而突出了金融知识的缓解作用。扫描电镜方法进一步阐明了潜在结构(如感知覆盖质量和成本经验)之间复杂的相互作用,表明这些因素相互作用,并与其他决定因素相互作用,形成预防性护理决策。重要的是,一旦考虑到这些结构和信息方面的因素,传统的人口变量- -例如种族和性别- -就失去了统计意义,强调了制度和教育因素的更大影响。这些结果表明,仅仅旨在消除经济障碍的政策可能不足以最大限度地提高预防保健的参与。相反,促进对保险范围的信任、加强初级保健关系和提高金融知识是提高预防性服务利用率的关键战略。通过处理卫生保健获取的信息、关系和经济层面问题,决策者和利益攸关方可以更有效地促进预防性卫生参与并推进人口健康成果。
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来源期刊
Dialogues in health
Dialogues in health Public Health and Health Policy
CiteScore
0.70
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0.00%
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审稿时长
134 days
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