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Randomized Controlled Trial
. 2011 Jul;39(7):1663-9.
doi: 10.1097/CCM.0b013e3182186e98.

A randomized trial of the effect of patient race on physicians' intensive care unit and life-sustaining treatment decisions for an acutely unstable elder with end-stage cancer

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Free PMC article
Randomized Controlled Trial

A randomized trial of the effect of patient race on physicians' intensive care unit and life-sustaining treatment decisions for an acutely unstable elder with end-stage cancer

Amber E Barnato et al. Crit Care Med. .
Free PMC article

Abstract

Objectives: To test whether hospital-based physicians made different intensive care unit and life-sustaining treatment decisions for otherwise identical black and white patients with end-stage cancer and life-threatening hypoxia.

Design: We conducted a randomized trial of the relationship between patient race and physician treatment decisions using high-fidelity simulation. We counterbalanced the effects of race and case by randomly alternating their order using a table of random permutations. Physicians completed two simulation encounters with black and white patient simulator patients with prognostically identical end-stage gastric or pancreatic cancer and life-threatening hypoxia and hypotension, followed by a self-administered survey of beliefs regarding treatment preferences by race. We conducted within-subjects analysis of each physician's matched-pair simulation encounters, adjusting for order and case effects, and between-subjects analysis of physicians' first encounter, adjusting for case.

Setting: Peter M. Winter Institute for Simulation Education and Research at the University of Pittsburgh, Pennsylvania.

Subjects: Thirty-three hospital-based attending physicians, including 12 emergency physicians, eight hospitalists, and 13 intensivists from Allegheny County, Pennsylvania.

Intervention: Race of patient simulator.

Measurements and main results: Measurements included physician treatment decisions recorded during the simulation and documented in the chart and beliefs about treatment preference by race. When faced with a black vs. a white patient, physicians did not differ in their elicitation of intubation preferences (within-subject comparison, 28/32 [88%] vs. 28/32 [88%]; p = .589; between-subject comparison, 13/17 [87%] vs. 13/17 [76%]; p = .460), intensive care unit admission (within-subject comparison, 14/32 [44%] vs. 12/32 [38%]; p = .481; between-subject comparison, 8/15 (53%) vs. 7/17 (41%); p = .456), intubation (within-subject comparison, 5/32 [16%] vs. 4/32 [13%]; p = .567; between-subject comparison: 1/15 [7%] vs. 4/17 [24%]; p = .215), or initiation of comfort measures only (within-subject comparison: 16/32 [50%] vs. 19/32 [59%]; p = .681; between-subject comparison: 6/15 [40%] vs. 8/17 [47%]; p = .679). Physicians believed that a black patient with end-stage cancer was more likely than a similar white patient to prefer potentially life-prolonging chemotherapy over treatment focused on palliation (67% vs. 64%; z = -1.79; p = .07) and to want mechanical ventilation for 1 wk of life extension (43% vs. 34%; z = -2.93; p = .003), and less likely to want a do-not-resuscitate order if hospitalized (51% vs. 60%; z = 3.03; p = .003).

Conclusions: In this exploratory study, hospital-based physicians did not make different treatment decisions for otherwise identical terminally ill black and white elders despite believing that black patients are more likely to prefer intensive life-sustaining treatment, and they grossly overestimated the preference for intensive treatment for both races.

Figures

Figure A1. Physician sample
We initially sought to recruit a probability sample of emergency medicine, hospitalist, and intensive care physicians in approximately equal proportions from Allegheny County. We mailed invitations to participate to a stratified random sample of physicians drawn from Allegheny County Medical Society lists of board-certified emergency physicians, internists, and critical care physicians, augmented by hospitalist and intensivist lists provided by Allegheny County hospitals. In blocks of 20, we contacted physicians in each specialty group by letter containing a postage paid response card, followed by an average of 1.5 follow-up telephone calls. Additionally, we contacted all black physicians in the sampling frame. Due to a low recruitment yield using these methods, we switched to convenience sampling using two mechanisms: culling the sampling frame for physicians personally known to any of the investigators for recruitment and having influential colleagues send e-mails to distribution lists of regional emergency physician, hospitalist, and intensivist practice groups. From the original sampling frame of 505 physicians, we sampled and sought to contact 177. Twenty-six were willing to participate (15%), but only 15 could be scheduled (8%). Forty were confirmed ineligible (23%), 69 (39%) were confirmed to be in practice but did not return phone calls, 26 (15%) refused, and 16 (9%) could not be located (Figure 3). We recruited 18 additional physicians who were not in the original sampling frame through professional contacts.
Figure A2. Factorial allocation of subjects
The factorial allocation of subjects was closely balanced with 9 subjects in one permutation (white/gastric followed by black/pancreatic) and 8 subjects in the other 3 (white/pancreatic followed by black/gastric; black/gastric followed by white/pancreatic; black/pancreatic followed by white/gastric), but it became less balanced when we removed one study subject from the analysis of treatment plan in the black/pancreatic followed by white/gastric permutation.
Figure 1. Actors portraying the role of the patient
Two black and two white patient simulators portrayed the roles of Mr. Jenkins, a 78 year-old man with metastatic gastric cancer and a chief complaint of dyspnea and Mr. Thomas, a 76 year-old man with metastatic pancreatic cancer and a chief complaint of abdominal pain. The vital signs tracings on a bedside monitor next to the patient were identical, regardless of case.
Figure 2. Actors portraying the role of the caregiver/surrogate
Two black and two white patient simulators portrayed the roles of Emma Jenkins, Mr. Jenkins’ wife caregiver/surrogate, or Ruth Thomas, Mr. Thomas’ sister caregiver/surrogate.

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