Michael Mazzeffi, Lindsay Strickland, Zachary Coffman, Braden Miller, Ebony Hilton, Lynn Kohan, Ryan Keneally, Peggy McNaull, Nabil Elkassabany
Cross sectional study of Twitter (X) use among academic anesthesiology departments in the United States
PloS one
blackwhite disparities cardiac care may related physician referral network segregation developed tested new geographic physician network segregation measures used medicare claims identify black white medicare heart disease patients map physician networks 169 hospital referral regions hrrs 1000 black patients constructed two network segregation indexes ranging 0 integration 100 total segregation dissimilarity unevenness black white patient distribution across physicians dn absolute clustering propensity black patients physicians closer ties physicians acln employed conditional logit models estimate probability using best lowest mortality geographically available hospital black white patients undergoing coronary artery bypass grafting cabg surgery 126 markets sufficient sample size increasing levels network segregation low vs high hrr black patient population physician network segregation lower residential segregation dissimilarity 219 vs 487 absolute clustering 48 vs 324 positively correlated residential segregation p 001 network segregation effects differed race hrr black patient population white patients higher network segregation associated higher probability using best available hospitals hrrs black patients unchanged acln lower dn probability best hospital use hrrs many black patients black patients higher network segregation associated substantial change probability best hospital use regardless hrr black patient population size measuring physician network segregation feasible associated nuanced effects blackwhite differences highquality hospital use heart disease work needed understand underlying mechanisms potential uses health equity policy