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首页> 外文期刊>Health Services Research & Managerial Epidemiology >Multilevel Risk Factors for Hospital Readmission Among Patients With Opioid Use Disorder in Selected US States: Role of Socioeconomic Characteristics of Patients and Their Community
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Multilevel Risk Factors for Hospital Readmission Among Patients With Opioid Use Disorder in Selected US States: Role of Socioeconomic Characteristics of Patients and Their Community

机译:选定美国阿片类药物使用障碍患者的医院阅览室的多级风险因素:社会经济特征的作用及其社区

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Research Objective: Using a multilevel framework, the study examines the association of socioeconomic characteristics of the individual and the community with all-cause 30-day readmission risks for patients hospitalized with a principal diagnosis of opioid use disorder (OUD). Study Design: The study uses hospital discharge data of adult (18t) patients in 5 US states for 2014 from the Healthcare Cost and Utilization Project of the Agency for Healthcare Research and Quality, linked to community and hospital characteristics using data from Health Resources and Services Administration and American Hospital Association, respectively. A multilevel logistic regression model is applied on data pooled over 5 states adjusting for patient, hospital, and community characteristics. Principal Findings: Higher primary care access, as measured by density of primary care providers, is associated with reduced readmission risks among patients with OUD. Medicare is associated with the highest readmission risk (odds ratio [OR] ? 2.0, P .01) compared to private coverage, while Medicaid coverage is also associated with elevated risk (OR ? 1.71, P .01). Being self-pay or covered by other payers carried a similar risk to private coverage. Urban patients had higher readmission rates than rural patients. Conclusions: Patients’ risk of readmission following hospitalization for OUD varies according to availability of primary care providers, expected payer, and geographic location. Understanding which patients are most at risk may allow policy makers to design interventions to prevent readmissions and improve patient outcomes. Future studies may wish to focus on understanding when a decreased readmission rate represents better patient outcomes and when it represents difficulty accessing health care.
机译:研究目标:使用多级框架,研究审查了个人和社区的社会经济特征与全部导致30天的入院患者的患者的社会经济特征与阿片类药物使用障碍(OUD)的主要诊断。研究设计:2014年5月5日美国患者5美国患者的医院放电数据,从医疗保健研究和质量的医疗成本和利用项目,与来自卫生资源和服务的数据相关的社区和医院特征有关行政和美国医院协会分别。应用了多级逻辑回归模型,用于调整患者,医院和社区特征的5多个州的数据。主要调查结果:通过初级保健提供者密度测量的初级保健接入,与oud患者的患者中的降低的入院风险相关联。与私人覆盖率相比,Medicare与最高的休息风险(赔率比[或] 2.0,P& 01)相关联,而药品提交的覆盖率也与风险升高(或?1.71,P& .01)相关。被其他付款人自付或涵盖的自付或覆盖私人覆盖范围的风险。城市患者比农村患者更高的入院率。结论:患者在住院后的入院后的入院风险根据初级护理提供者,预期付款人和地理位置的可用性而不同。理解患者最大的风险可能允许政策制定者设计干预措施,以防止入伍和改善患者结果。未来的研究可能希望在减少的人入住率代表更好的患者结果时专注于理解,并且当它代表难以访问医疗保健时。

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