https://sci-hub.tw/https://www.pnas.org/content/early/2020/08/12/1913405117
Physician–patient racial concordance and disparities in birthing mortality for newborns
Brad N. Greenwooda, Rachel R. Hardemanb, Laura Huangc, and Aaron Sojournerd,
School of Business, George Mason University, Fairfax, VA 22030; b
School of Public Health, University of Minnesota–Twin Cities, Minneapolis, MN 55455;
Harvard Business School, Harvard University, Boston, MA 02163; and d
Carlson School of Management, University of Minnesota–Twin Cities, Minneapolis, MN 55455
Edited by Christopher W. Kuzawa, Northwestern University, Evanston, IL, and approved July 16, 2020 (received for review August 2, 2019)
Recent work has emphasized the benefits of patient–physician concordance on clinical care outcomes for underrepresented minorities, arguing it can ameliorate outgroup biases, boost communication, and increase trust. We explore concordance in a setting where racial disparities are particularly severe: childbirth. In the United States, Black newborns die at three times the rate of White newborns. Results examining 1.8 million hospital births in the state of Florida between 1992 and 2015 suggest that newborn–physician racial concordance is associated with a significant improvement in mortality for Black infants. Results further suggest that these benefits manifest during more challenging births and in hospitals that deliver more Black babies. We find no significant improvement in maternal mortality when birthing mothers share race with their physician.
I’ve read the full paper and I’ll note a few things.
1/ This is a large study, with n=1800000. Whatever this is about, it’s not an anomaly because of small data size.
2/ It is conducted only in one state, Florida, which is ethnically quite unique in US: obv, it would be good to see whether this holds up in states with a different ethnic mix.
3/ Interestingly, for white babies, there’s no significant effect from varying the race of the doctor.
4/ The authors appear to be very confident that this is a causative relationship: ie that “doctor-patient racial concordance” is to be advocated, rather than just noting that there is a correlation and leaving others to determine the significance.
5/ “Physician race is not coded by the data and is captured from publicly searchable pictures of the physician” Yikes
The study did use multivariate analysis to try to isolate the correlation effects from other factors, viz.
Our primary interest is whether the Black–White newborn mortality risk differs depending on physician race. This is cap- tured by β3. The estimator is an ordinary least squares (OLS) to avoid interpretation issues associated with nonlinear estimators like logit regression (35). Huber–White SEs, clustered on the physician, are applied to avoid the heteroscedasticity problems OLS creates. We first estimate the pooled regression without controls. We subsequently include controls for insurance pro- vider (e.g., Medicaid, self-pay) and for the 65 most-prevalent comorbidities ; quarter-year fixed effects; hospital fixed effects; hospital-year fixed effects; and physician fixed ef- fects. Note that the inclusion of physician fixed effects does cause β2, physician race, to be dropped from the model as it is time invariant. Hospital-year fixed effects are included in deference to the concern that the effects might change over time, and across location. Finally, we split the sample by physician race to allow the controls to enter through physician race.
The effect is more pronounced for babies with “one or more comorbidities”.
I can’t see any big holes in the study but I do wonder at their confidence that there’s a causative relationship. As well as trying this in other states, it would be good to isolate those comorbidities: there may be specific grave childhood illnesses that are dealt with disproportionately by white doctors in Florida, but that affect black babies more than white babies, and this would show up as a correlation in death rate.
Now, I’m not a doctor… but neither are the authors. This is a paper by business and management specialists, published in a multidisciplinary journal. I’ll be interested to see analysis of this paper by medical people.