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Association of behavioral health factors and social determinants of health with high and persistently high healthcare costs

机译:行为健康因素和健康的社会决定因素与高且持续高的医疗费用之间的联系

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摘要

A high proportion of U.S. health care costs are attributable to a relatively small proportion of patients. Understanding behavioral and social factors that predict initial and persistent high costs for these “high utilizers” is critical for health policy-makers. This prospective observational study was conducted at Kaiser Permanente Northern California (KPNC), an integrated healthcare delivery system with 4.1 million members. A stratified random sample of high-cost vs. non-high-cost adult KPNC members matched by age, gender, race/ethnicity, type of health insurance, and medical severity (N = 378) was interviewed between 3/14/2013 and 3/20/2014. Data on health care costs and clinical diagnoses between 1/1/2008 and 12/31/2012 were derived from the electronic health record (EHR). Social-economic status, depression symptoms, adverse childhood experiences (ACEs), interpersonal violence, financial stressors, neighborhood environment, transportation access, and patient activation and engagement were obtained through telephone interviews. Initial and subsequent high-cost status were defined as being classified in top 20% cost levels over 1/1/2009–12/31/2011 and 1/1/2012–12/31/2012, respectively. Psychiatric diagnosis (OR 2.55, 95% CI 1.52–4.29, p < 0.001), financial stressors (OR 1.97, 95% CI 1.19–3.26, p = 0.009), and ACEs (OR 1.10, 95% CI 1.00–1.20, p = 0.051) predicted initial high-cost status. ACEs alone predicted persistent high-cost status in the subsequent year (OR 1.12, 95% CI 1.00–1.25, p = 0.050). Non-medical factors such as psychiatric problems, financial stressors and adverse childhood experiences contribute significantly to the likelihood of high medical utilization and cost. Efforts to predict and reduce high utilization must include measuring and potentially addressing these factors.
机译:美国医疗保健费用的很大一部分归因于相对较少的患者。了解行为和社会因素,以预测这些“高利用者”的初期和持续的高昂费用,对于卫生政策制定者至关重要。这项前瞻性观察性研究是在北加州Kaiser Permanente(KPNC)进行的,这是一个拥有410万会员的综合医疗保健提供系统。在2013年3月14日至2013年3月14日之间,对高成本和非高成本的成年KPNC成员进行了分层随机抽样,调查结果与年龄,性别,种族/民族,健康保险类型和医疗严重程度相匹配(N = 378)。 2014年3月20日。 2008年1月1日至2012年12月31日之间的医疗保健费用和临床诊断数据均来自电子健康记录(EHR)。通过电话采访获得了社会经济状况,抑郁症状,不利的童年经历(ACE),人际暴力,财务压力,邻里环境,交通便利以及患者的积极性和参与度。最初和之后的高成本状态分别定义为在1/1 / 2009–12 / 31/2011和1/1 / 2012–12 / 31/2012内成本最高的20%。精神病诊断(OR 2.55,95%CI 1.52–4.29,p <0.001),财务压力因素(OR 1.97,95%CI 1.19–3.26,p = 0.009)和ACEs(OR 1.10,95%CI 1.00-1.20,p = 0.051)预测的初始高成本状态。单独的ACE可以预测其后一年的持续高成本状态(OR 1.12,95%CI 1.00-1.25,p = 0.050)。非医学因素,例如精神病,财务压力和不利的童年经历,极大地影响了高医疗利用率和成本的可能性。预测和减少高利用率的工作必须包括测量和潜在地解决这些因素。

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