The Relative Indirect Effects of Technology Bias and Implicit Bias on Racial Disparity in Service Delivery and Sepsis Mortality
研究利用ICU脓毒症患者数据，通过因果中介分析发现，技术偏见（脉搏血氧仪测量偏差）对非白人患者死亡率的影响大于临床医生的隐性偏见，消除这两种偏见可每年挽救数千少数族裔生命。
Racism at the individual and societal levels has been identified as a cause of disparity in healthcare outcomes in the United States but reducing disparity has been slow. This study disentangles the relative effects of two types of racism on inpatient service delivery and hospital mortality: technology bias and implicit bias. Drawing on clinical data from intensive care unit (ICU) patients with sepsis, we use propensity score matching to balance groups of White and nonwhite patients and run a causal mediation analysis to test our model, which links patient race to hospital mortality through two mediating variables related to service delivery: (1) discrepancies in blood oxygen saturation measurements due to technology bias embedded in the medical device (i.e., pulse oximeter) and (2) administration of supplemental oxygen, which could be impacted by clinicians’ implicit bias. We first replicate prior findings that (a) higher discrepancies between oximeter readings and laboratory tests for nonwhite patients compared to Whites and (b) a higher discrepancy lowers the likelihood of patients receiving supplemental oxygen during the ICU stay. We make a unique contribution by finding that nonwhite patients with sepsis have a 79% higher risk of hospital mortality in the ICU compared to Whites, with nearly half of the racial disparity in mortality stemming from technology bias and less than a fifth from clinicians’ implicit bias. Eliminating these two biases would help save thousands of lives annually among racial/ethnic minorities with sepsis in the United States. Our findings indicate that technology bias exerts a greater negative impact on mortality than does implicit bias, highlighting the importance of device approval standards and clinicians' ability to customize decision criteria for supplemental oxygen.