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医生患者共享网络与医疗保险受益人的医疗利用和支出

Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries.

机构信息

Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

Division of Primary Care and General Internal Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

出版信息

JAMA Intern Med. 2018 Jan 1;178(1):66-73. doi: 10.1001/jamainternmed.2017.5034.

Abstract

IMPORTANCE

Physicians are embedded in informal networks in which they share patients, information, and behaviors.

OBJECTIVE

We examined the association between physician network properties and health care spending, utilization, and quality of care among Medicare beneficiaries.

DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional study, we applied methods from social network analysis to Medicare administrative data from 2006 to 2010 for an average of 3 761 223 Medicare beneficiaries per year seen by 40 241 physicians practicing in 51 hospital referral regions (HRRs) to identify networks of physicians linked by shared patients. We improved on prior methods by restricting links to physicians who shared patients for distinct episodes of care, thereby excluding potentially spurious linkages between physicians treating common patients but for unrelated reasons. We also identified naturally occurring communities of more tightly linked physicians in each region. We examined the relationship between network properties measured in the prior year and outcomes in the subsequent year using regression models.

MAIN OUTCOMES AND MEASURES

Spending on total medical services, hospital, physician, and other services, use of services, and quality of care.

RESULTS

The mean patient age across the 5 years of study was 72.3 years and 58.5% of the participants were women. The mean age across communities of included physicians was 49 years and approximately 78% were men. Mean total annual spending per patient was $10 051. Total spending was higher for patients of physicians with more connections to other physicians ($1009 for a 1-standard deviation increase, P < .001) and more shared care outside of their community ($172, P < .001). Spending on inpatient care was slightly lower for patients of physicians whose communities had higher proportions of primary care physicians (-$38, P < .001). Patients cared for by physicians linked to more physicians also had more hospital admissions and days (0.02 and 0.18, respectively; both P < .001 for a 1-standard deviation increase in the number of connected physicians), more emergency visits (0.02, P < .001), more visits to specialists (0.37, P < .001), and more primary care visits (0.11, P < .001). Patients whose physicians' networks had more primary care physicians had more primary care visits (0.44, P < .001) and fewer specialist and emergency visits (-0.33 [P < .001] and -0.008 [P = .008], respectively). The various measures of quality were inconsistently related to the network measures.

CONCLUSIONS AND RELEVANCE

Characteristics of physicians' networks and the position of physicians in the network were associated with overall spending and utilization of services for Medicare beneficiaries.

摘要

重要性:医生处于非正式网络中,在这些网络中,他们共享患者、信息和行为。

目的:我们研究了医生网络特征与医疗保险受益人的医疗保健支出、使用和护理质量之间的关系。

设计、地点和参与者:在这项横断面研究中,我们应用社会网络分析方法,对 2006 年至 2010 年期间医疗保险管理数据进行了分析,每年有平均 3761223 名医疗保险受益人和 51 个医院转诊区(HRR)的 40241 名医生参与,以确定通过共享患者联系起来的医生网络。我们通过限制与因不同治疗阶段而共享患者的医生建立联系,从而改进了先前的方法,从而排除了治疗共同患者但因无关原因而存在潜在虚假联系的医生之间的联系。我们还在每个地区确定了更紧密联系的医生自然存在的社区。我们使用回归模型研究了前一年网络特征与下一年结果之间的关系。

主要结果和措施:总医疗服务、医院、医生和其他服务的支出、服务的使用以及护理质量。

结果:在研究的 5 年中,患者的平均年龄为 72.3 岁,58.5%的参与者为女性。纳入医生社区的平均年龄为 49 岁,约 78%为男性。每位患者的年平均总支出为 10051 美元。与其他医生联系更多的医生的患者的总支出更高(每增加一个标准差增加 1009 美元,P < 0.001),与社区外共享更多护理的医生的支出也更高(172 美元,P < 0.001)。医生所在社区的初级保健医生比例较高的患者的住院治疗费用略低(-38 美元,P < 0.001)。与更多医生联系的医生治疗的患者住院次数和住院天数也更多(分别为 0.02 和 0.18,在连接医生数量每增加一个标准差时,均 P < 0.001),急诊就诊次数更多(0.02,P < 0.001),专科就诊次数更多(0.37,P < 0.001),以及初级保健就诊次数更多(0.11,P < 0.001)。医生网络中初级保健医生较多的患者,初级保健就诊次数更多(0.44,P < 0.001),专科和急诊就诊次数更少(-0.33 [P < 0.001]和-0.008 [P = 0.008])。各种质量指标与网络指标的关系不一致。

结论和相关性:医生网络的特征以及医生在网络中的地位与医疗保险受益人的总体服务支出和使用情况有关。

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