The effect of cognitive load and patient race on physicians' decisions to prescribe opioids for chronic low back pain: A randomized trial

Diana J. Burgess, Sean Phelan, Michael Workman, Emily Hagel, David B. Nelson, Steven S. Fu, Rachel Widome, Michelle van Ryn

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Objective: To test the hypothesis that racial biases in opioid prescribing would be more likely under high levels of cognitive load, defined as the amount of mental activity imposed on working memory, which may come from environmental factors such as stressful conditions, chaotic workplace, staffing insufficiency, and competing demands, one's own psychological or physiological state, as well as from demands inherent in the task at hand. Design: Two (patient race: White vs Black) by two (cognitive load: low vs high) between-subjects factorial design. Setting and Participants: Ninety-eight primary care physicians from the Veterans Affairs Healthcare System. Methods: Web-based experimental study. Physicians were randomly assigned to read vignettes about either a Black or White patient, under low vs high cognitive load, and to indicate their likelihood of prescribing opioids. High cognitive load was induced by having physicians perform a concurrent task under time pressure. Results: There was a three-way interaction between patient race, cognitive load, and physician gender on prescribing decisions (P=0.034). Hypotheses were partially confirmed. Male physicians were less likely to prescribe opioids for Black than White patients under high cognitive load (12.5% vs 30.0%) and were more likely to prescribe opioids for Black than White patients under low cognitive load (30.8% vs 10.5%). By contrast, female physicians were more likely to prescribe opioids for Black than White patients in both conditions, with greater racial differences under high (39.1% vs 15.8%) vs low cognitive load (28.6% vs 21.7%). Conclusions: Physician gender affected the way in which patient race and cognitive load influenced decisions to prescribe opioids for chronic pain. Future research is needed to further explore the potential effects of physician gender on racial biases in pain treatment, and the effects of physician cognitive load on pain treatment.

Original languageEnglish (US)
Pages (from-to)965-974
Number of pages10
JournalPain Medicine (United States)
Volume15
Issue number6
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Fingerprint

Low Back Pain
Opioid Analgesics
Physicians
Racism
Pain
Primary Care Physicians
Veterans
Short-Term Memory
Chronic Pain
Workplace
hydroquinone
Psychology
Delivery of Health Care
Therapeutics

Keywords

  • Healthcare Disparities
  • Pain Management
  • Race
  • Stereotyping

ASJC Scopus subject areas

  • Clinical Neurology
  • Anesthesiology and Pain Medicine

Cite this

The effect of cognitive load and patient race on physicians' decisions to prescribe opioids for chronic low back pain : A randomized trial. / Burgess, Diana J.; Phelan, Sean; Workman, Michael; Hagel, Emily; Nelson, David B.; Fu, Steven S.; Widome, Rachel; van Ryn, Michelle.

In: Pain Medicine (United States), Vol. 15, No. 6, 01.01.2014, p. 965-974.

Research output: Contribution to journalArticle

Burgess, Diana J. ; Phelan, Sean ; Workman, Michael ; Hagel, Emily ; Nelson, David B. ; Fu, Steven S. ; Widome, Rachel ; van Ryn, Michelle. / The effect of cognitive load and patient race on physicians' decisions to prescribe opioids for chronic low back pain : A randomized trial. In: Pain Medicine (United States). 2014 ; Vol. 15, No. 6. pp. 965-974.
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abstract = "Objective: To test the hypothesis that racial biases in opioid prescribing would be more likely under high levels of cognitive load, defined as the amount of mental activity imposed on working memory, which may come from environmental factors such as stressful conditions, chaotic workplace, staffing insufficiency, and competing demands, one's own psychological or physiological state, as well as from demands inherent in the task at hand. Design: Two (patient race: White vs Black) by two (cognitive load: low vs high) between-subjects factorial design. Setting and Participants: Ninety-eight primary care physicians from the Veterans Affairs Healthcare System. Methods: Web-based experimental study. Physicians were randomly assigned to read vignettes about either a Black or White patient, under low vs high cognitive load, and to indicate their likelihood of prescribing opioids. High cognitive load was induced by having physicians perform a concurrent task under time pressure. Results: There was a three-way interaction between patient race, cognitive load, and physician gender on prescribing decisions (P=0.034). Hypotheses were partially confirmed. Male physicians were less likely to prescribe opioids for Black than White patients under high cognitive load (12.5{\%} vs 30.0{\%}) and were more likely to prescribe opioids for Black than White patients under low cognitive load (30.8{\%} vs 10.5{\%}). By contrast, female physicians were more likely to prescribe opioids for Black than White patients in both conditions, with greater racial differences under high (39.1{\%} vs 15.8{\%}) vs low cognitive load (28.6{\%} vs 21.7{\%}). Conclusions: Physician gender affected the way in which patient race and cognitive load influenced decisions to prescribe opioids for chronic pain. Future research is needed to further explore the potential effects of physician gender on racial biases in pain treatment, and the effects of physician cognitive load on pain treatment.",
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AB - Objective: To test the hypothesis that racial biases in opioid prescribing would be more likely under high levels of cognitive load, defined as the amount of mental activity imposed on working memory, which may come from environmental factors such as stressful conditions, chaotic workplace, staffing insufficiency, and competing demands, one's own psychological or physiological state, as well as from demands inherent in the task at hand. Design: Two (patient race: White vs Black) by two (cognitive load: low vs high) between-subjects factorial design. Setting and Participants: Ninety-eight primary care physicians from the Veterans Affairs Healthcare System. Methods: Web-based experimental study. Physicians were randomly assigned to read vignettes about either a Black or White patient, under low vs high cognitive load, and to indicate their likelihood of prescribing opioids. High cognitive load was induced by having physicians perform a concurrent task under time pressure. Results: There was a three-way interaction between patient race, cognitive load, and physician gender on prescribing decisions (P=0.034). Hypotheses were partially confirmed. Male physicians were less likely to prescribe opioids for Black than White patients under high cognitive load (12.5% vs 30.0%) and were more likely to prescribe opioids for Black than White patients under low cognitive load (30.8% vs 10.5%). By contrast, female physicians were more likely to prescribe opioids for Black than White patients in both conditions, with greater racial differences under high (39.1% vs 15.8%) vs low cognitive load (28.6% vs 21.7%). Conclusions: Physician gender affected the way in which patient race and cognitive load influenced decisions to prescribe opioids for chronic pain. Future research is needed to further explore the potential effects of physician gender on racial biases in pain treatment, and the effects of physician cognitive load on pain treatment.

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