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本文引用的文献

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Transforming the Health Care Response to Intimate Partner Violence: Addressing "Wicked Problems".转变针对亲密伴侣暴力的医疗应对措施:应对“棘手问题”。
JAMA. 2016 Jun 21;315(23):2517-8. doi: 10.1001/jama.2016.4837.
2
Risk Adjustment Tools for Learning Health Systems: A Comparison of DxCG and CMS-HCC V21.学习型健康系统的风险调整工具:DxCG与CMS-HCC V21的比较
Health Serv Res. 2016 Oct;51(5):2002-19. doi: 10.1111/1475-6773.12454. Epub 2016 Feb 3.
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Associations Between Adverse Childhood Experiences, High-Risk Behaviors, and Morbidity in Adulthood.童年不良经历、高危行为与成年期发病之间的关联。
Am J Prev Med. 2016 Mar;50(3):344-352. doi: 10.1016/j.amepre.2015.07.022. Epub 2015 Oct 21.
4
Impact of Childhood Abuse on Physical and Mental Health Status and Health Care Utilization Among Female Veterans.童年虐待对女性退伍军人身心健康状况及医疗保健利用的影响。
Mil Med. 2015 Oct;180(10):1065-74. doi: 10.7205/MILMED-D-14-00719.
5
Predicting cost of care using self-reported health status data.使用自我报告的健康状况数据预测护理成本。
BMC Health Serv Res. 2015 Sep 23;15:406. doi: 10.1186/s12913-015-1063-1.
6
Use of electronic health records for early detection of high-cost, low back pain patients.利用电子健康记录早期发现高成本的腰痛患者。
Pain Res Manag. 2015 Sep-Oct;20(5):234-40. doi: 10.1155/2015/862702. Epub 2015 Aug 20.
7
Predicting high-cost pediatric patients: derivation and validation of a population-based model.预测高成本儿科患者:基于人群模型的推导与验证
Med Care. 2015 Aug;53(8):729-35. doi: 10.1097/MLR.0000000000000391.
8
Health Care Utilization Patterns Among High-Cost VA Patients With Mental Health Conditions.患有精神疾病的高成本退伍军人事务部患者的医疗保健利用模式。
Psychiatr Serv. 2015 Sep;66(9):952-8. doi: 10.1176/appi.ps.201400286. Epub 2015 May 1.
9
Hospital readmission rates and emergency department visits for mental health and substance abuse conditions.因心理健康和药物滥用状况导致的医院再入院率及急诊科就诊情况。
Community Ment Health J. 2015 Feb;51(2):190-7. doi: 10.1007/s10597-014-9784-x. Epub 2015 Jan 7.
10
Predicting patients with high risk of becoming high-cost healthcare users in Ontario (Canada).预测安大略省(加拿大)成为高成本医疗保健使用者风险较高的患者。
Healthc Policy. 2014 Feb;9(3):68-79.

行为健康因素及健康的社会决定因素与高额且持续高额医疗费用的关联。

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

作者信息

Sterling Stacy, Chi Felicia, Weisner Constance, Grant Richard, Pruzansky Alix, Bui Sandy, Madvig Philip, Pearl Robert

机构信息

Division of Research, Kaiser Permanente Northern California, United States.

University of California, San Francisco, United States.

出版信息

Prev Med Rep. 2018 Jun 27;11:154-159. doi: 10.1016/j.pmedr.2018.06.017. eCollection 2018 Sep.

DOI:10.1016/j.pmedr.2018.06.017
PMID:30003015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6039851/
Abstract

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 ( = 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,  < 0.001), financial stressors (OR 1.97, 95% CI 1.19-3.26,  = 0.009), and ACEs (OR 1.10, 95% CI 1.00-1.20,  = 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,  = 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.

摘要

美国医疗保健成本的很大一部分归因于相对较少比例的患者。了解那些预示着这些“高医疗利用率者”最初和持续高成本的行为及社会因素,对卫生政策制定者而言至关重要。这项前瞻性观察性研究在北加利福尼亚凯撒医疗集团(KPNC)开展,这是一个拥有410万成员的综合医疗服务体系。在2013年3月14日至2014年3月20日期间,对378名按年龄、性别、种族/民族、医疗保险类型和医疗严重程度匹配的高成本与非高成本成年KPNC成员进行了分层随机抽样访谈。2008年1月1日至2012年12月31日期间的医疗保健成本和临床诊断数据来自电子健康记录(EHR)。通过电话访谈获取社会经济地位、抑郁症状、童年不良经历(ACEs)、人际暴力、经济压力源、邻里环境、交通便利性以及患者激活和参与度等信息。最初和随后的高成本状态分别定义为在2009年1月1日至2011年12月31日以及2012年1月1日至2012年12月31日期间处于成本最高的20%水平。精神疾病诊断(比值比2.55,95%置信区间1.52 - 4.29,P < 0.001)、经济压力源(比值比1.97,95%置信区间1.19 - 3.26,P = 0.009)和童年不良经历(比值比1.10,95%置信区间1.00 - 1.20,P = 0.051)预示着最初的高成本状态。仅童年不良经历就预示着次年持续的高成本状态(比值比1.12,95%置信区间1.00 - 1.25,P = 0.050)。诸如精神问题、经济压力源和童年不良经历等非医疗因素对高医疗利用率和成本的可能性有显著影响。预测和降低高医疗利用率的努力必须包括对这些因素进行测量并可能加以解决。