The Rise of Performative Medicine
How screening for social determinants of health without the power to change them became one of obstetrics’ most practiced rituals
The Ritual
Somewhere in the United States right now, a pregnant woman is being handed a form. It asks whether she has enough food to eat. Whether she has stable housing. Whether she feels safe at home.
She answers the questions.
A medical assistant enters her responses into the electronic health record.
A clinician glances at the results, adds a note, and generates a referral to a social worker who may or may not have an opening this month.
The appointment ends.
The woman goes home to the same food insecurity, the same unstable housing, the same unsafe situation that she described on the form.
Nothing changed. But the chart is complete. The quality metric is satisfied. The box is checked.
This is performative medicine.
It looks like care.
It generates documentation that looks like care. It satisfies regulators who measure care by whether the question was asked, not by whether the answer produced any result. And it has become one of the defining rituals of modern obstetrics, applied most aggressively to the most vulnerable women in the system, the women whose problems are the largest, and whose access to solutions is the smallest.
Asking a woman whether she is hungry and then doing nothing about it is not compassionate medicine. It is data collection dressed up as a clinical encounter.
What Social Determinants of Health Actually Are
The term social determinants of health, abbreviated SDoH in the medical literature and on the quality metric dashboards of health systems across the country, refers to the non-medical conditions that shape health outcomes. Where a person lives. Whether she has reliable transportation. Her income and employment status. Her level of education. Whether her neighborhood is safe. Whether she has a social support network.
These factors are not peripheral to health.
They are central to it.
The evidence on this is clear and has been clear for decades. Poverty is a more powerful predictor of maternal mortality than almost any clinical variable we measure.
A woman’s zip code predicts her obstetric outcomes with more accuracy than her blood pressure or her BMI. Black women in the United States die in childbirth at approximately three times the rate of white women, a disparity that persists across income and education levels, that survives adjustment for clinical risk factors, and that reflects the accumulated weight of structural disadvantage that no prenatal vitamin and no screening tool will touch.
This is not a new insight. What is new is the medical profession’s response to it: the creation of a screening infrastructure that identifies social determinants of health systematically, documents them carefully, and then largely fails to address them in any meaningful way.
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