Geissler Kimberley H, Lubin Benjamin, Marzilli Ericson Keith M
*University of Massachusetts-Amherst School of Public Health and Health Sciences, Amherst †Questrom School of Business, Boston University, Boston ‡National Bureau of Economic Research, Cambridge, MA.
Med Care. 2016 Apr;54(4):350-8. doi: 10.1097/MLR.0000000000000488.
Access to physicians is a major concern for Medicaid programs. However, little is known about relationships between physician participation in Medicaid and the individual-level and practice-level characteristics of physicians.
We used the 2011 Massachusetts All Payer Claims Database, containing all commercial and Medicaid claims; we linked with data on physician characteristics. We measured Medicaid participation intensity (fraction of the physician's patient panel with Medicaid) for primary care physicians (PCPs) and medical specialists. We measured influence of physicians within a patient referral network using eigenvector centrality. We used regression models to associate Medicaid intensity with physician individual-level and practice-level characteristics.
About 92.6% of physicians treated at least 1 Medicaid patient, but the median physician's panel contained only 5.7% Medicaid patients. Medicaid intensity was associated with physician training and influence for PCPs and specialists. For medical specialists, a 1 percentage point increase in Medicaid intensity was associated with a lower probability of being board certified (-0.22 percentage points; 95% CI, -0.30, -0.14), lower probability of attending a domestic medical school (-0.14 percentage points; 95% CI, -0.22, -0.05), having attended a less well-ranked domestic medical school (0.23 ranks; 95% CI, 0.15, 0.30), and having slightly less influence in the referral network. PCPs displayed similar results but high Medicaid intensity physicians had substantially less influence in the referral network.
Medicaid participation intensity shows substantial variation across physicians, indicating limits of binary participation measures. Physicians with more Medicaid patients had characteristics often perceived by patients to be of lower quality.
获得医生服务是医疗补助计划的一个主要关注点。然而,对于医生参与医疗补助计划与医生个人层面和执业层面特征之间的关系,我们知之甚少。
我们使用了2011年马萨诸塞州全支付方索赔数据库,其中包含所有商业和医疗补助索赔;我们将其与医生特征数据相链接。我们测量了初级保健医生(PCP)和医学专科医生的医疗补助参与强度(医生患者群体中医疗补助患者的比例)。我们使用特征向量中心性来衡量医生在患者转诊网络中的影响力。我们使用回归模型将医疗补助强度与医生个人层面和执业层面特征相关联。
约92.6%的医生至少治疗过1名医疗补助患者,但医生患者群体的中位数仅包含5.7%的医疗补助患者。医疗补助强度与PCP和专科医生的培训及影响力相关。对于医学专科医生,医疗补助强度每增加1个百分点,与获得委员会认证的概率降低相关(-0.22个百分点;95%置信区间,-0.30,-0.14),就读国内医学院校的概率降低相关(-0.14个百分点;95%置信区间,-0.22,-0.05),就读排名较低的国内医学院校的相关度为0.23(95%置信区间,0.15,0.30),并且在转诊网络中的影响力略小。PCP显示出类似结果,但医疗补助强度高的医生在转诊网络中的影响力显著较小。
医疗补助参与强度在医生之间存在很大差异,这表明二元参与度量存在局限性。拥有更多医疗补助患者的医生具有患者通常认为质量较低的特征。