Department of Health Care Policy, School of Medicine, Harvard University, Cambridge, Massachusetts, USA.
JAMA. 2012 Jul 18;308(3):265-73. doi: 10.1001/jama.2012.7615.
Physicians are embedded in informal networks that result from their sharing of patients, information, and behaviors.
To identify professional networks among physicians, examine how such networks vary across geographic regions, and determine factors associated with physician connections.
DESIGN, SETTING, AND PARTICIPANTS: Using methods adopted from social network analysis, Medicare administrative data from 2006 were used to study 4,586,044 Medicare beneficiaries seen by 68,288 physicians practicing in 51 hospital referral regions (HRRs). Distinct networks depicting connections between physicians (defined based on shared patients) were constructed for each of the 51 HRRs.
Variation in network characteristics across HRRs and factors associated with physicians being connected.
The number of physicians per HRR ranged from 135 in Minot, North Dakota, to 8197 in Boston, Massachusetts. There was substantial variation in network characteristics across HRRs. For example, the mean (SD) adjusted degree (number of other physicians each physician was connected to per 100 Medicare beneficiaries) across all HRRs was 27.3 (range, 11.7-54.4); also, primary care physician relative centrality (how central primary care physicians were in the network relative to other physicians) ranged from 0.19 to 1.06, suggesting that primary care physicians were more than 5 times more central in some markets than in others. Physicians with ties to each other were far more likely to be based at the same hospital (69.2% of unconnected physician pairs vs 96.0% of connected physician pairs; adjusted rate ratio, 0.12 [95% CI, 0.12-0.12]; P < .001), and were in closer geographic proximity (mean office distance of 21.1 km for those with connections vs 38.7 km for those without connections, P < .001). Connected physicians also had more similar patient panels in terms of the race or illness burden than unconnected physicians. For instance, connected physician pairs had an average difference of 8.8 points in the percentage of black patients in their 2 patient panels compared with a difference of 14.0 percentage points for unconnected physician pairs (P < .001).
Network characteristics vary across geographic areas. Physicians tend to share patients with other physicians with similar physician-level and patient-panel characteristics.
医生嵌入在由他们共享患者、信息和行为而产生的非正式网络中。
确定医生之间的专业网络,研究这些网络在地理区域上的差异,并确定与医生联系相关的因素。
设计、地点和参与者:使用社会网络分析方法,利用 2006 年的医疗保险管理数据,对在 51 个医院转诊区(HRR)执业的 68288 名医生为 4586044 名 Medicare 受益人的就诊情况进行了研究。为每个 HRR 构建了显示医生之间联系的不同网络(基于共享患者定义)。
HRR 间网络特征的差异以及与医生联系相关的因素。
每个 HRR 的医生人数从北达科他州的迈诺特的 135 人到马萨诸塞州的波士顿的 8197 人不等。HRR 间网络特征存在显著差异。例如,所有 HRR 中调整后的平均(SD)度(每位医生每 100 名 Medicare 受益人与其他医生的联系数)为 27.3(范围为 11.7-54.4);此外,初级保健医生的相对中心度(初级保健医生在网络中的中心程度相对于其他医生)范围为 0.19 至 1.06,这表明在一些市场中,初级保健医生的中心度是其他市场的 5 倍以上。彼此有联系的医生更有可能在同一医院工作(未联系的医生对中 69.2%,而联系的医生对中 96.0%;调整后的速率比,0.12[95%CI,0.12-0.12];P<0.001),并且地理位置更接近(有联系的医生的平均办公距离为 21.1 公里,而没有联系的医生的平均办公距离为 38.7 公里,P<0.001)。与没有联系的医生相比,有联系的医生的患者群体在种族或疾病负担方面也更相似。例如,有联系的医生对之间的患者群体中黑人患者的百分比平均差异为 8.8 个百分点,而没有联系的医生对之间的差异为 14.0 个百分点(P<0.001)。
网络特征在地理区域上存在差异。医生倾向于与具有相似医生水平和患者群体特征的其他医生共享患者。