Role of implicit bias in pediatric cancer clinical trials and enrollment recommendations among pediatric oncology providers.

BACKGROUND: Provider implicit bias can negatively affect clinician-patient communication. In the current study, the authors measured implicit bias training among pediatric oncology providers and exposure to implicit association tests (IATs). They then assessed associations between IATs for race and socioeconomic status (SES) and recommendations for clinical trial enrollment. METHODS: A prospective multisite study was performed to measure implicit bias among oncology providers at St. Jude Children's Research Hospital and affiliate clinics. An IAT was used to assess bias in the domains of race and SES. Case vignettes were used to determine an association between bias and provider recommendation for trial enrollment. Data were analyzed using Student t tests or Wilcoxon tests for comparisons and Jonckheere-Terpstra tests were used for association. RESULTS: Of the 105 total participants, 95 (90%) had not taken an IAT and 97 (92%) had no prior implicit bias training. A large effect was found for (bias toward) high SES (Cohen d, 1.93) and European American race (Cohen d, 0.96). The majority of participants (90%) had a vignette score of 3 or 4, indicating recommendation for trial enrollment for most or all vignettes. IAT and vignette scores did not significantly differ between providers at St. Jude Children's Research Hospital or affiliate clinics. No association was found between IAT and vignette scores for race (P = .58) or SES (P = .82). CONCLUSIONS: The authors noted a paucity of prior exposure to implicit bias self-assessments and training. Although these providers demonstrated preferences for high SES and European American race, this did not appear to affect recommendations for clinical trial enrollment as assessed by vignettes.

Health Promotion Programs and Policies in the Workplace: An Exploratory Study With Alaska Businesses.

INTRODUCTION: We examined health insurance benefits, workplace policies, and health promotion programs in small to midsize businesses in Alaska whose workforces were at least 20% Alaska Native. Participating businesses were enrolled in a randomized trial to improve health promotion efforts. METHODS: Twenty-six Alaska businesses completed from January 2009 through October 2010 a 30-item survey on health benefits, policies, and programs in the workplace. We generated frequency statistics to describe overall insurance coverage, and to detail insurance coverage, company policies, and workplace programs in 3 domains: tobacco use, physical activity and nutrition, and disease screening and management. RESULTS: Businesses varied in the number of employees (mean, 250; median, 121; range, 41-1,200). Most businesses offered at least partial health insurance for full-time employees and their dependents. Businesses completely banned tobacco in the workplace, and insurance coverage for tobacco cessation was limited. Eighteen had onsite food vendors, yet fewer than 6 businesses offered healthy food options, and even fewer offered them at competitive prices. Cancer screening and treatment were the health benefits most commonly covered by insurance. CONCLUSION: Although insurance coverage and workplace policies for chronic disease screening and management were widely available, significant opportunities remain for Alaska businesses to collaborate with federal, state, and community organizations on health promotion efforts to reduce the risk of chronic illness among their employees.

The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma.

OBJECTIVES: We examined the association between pediatricians' attitudes about race and treatment recommendations by patients' race. METHODS: We conducted an online survey of academic pediatricians (n = 86). We used 3 Implicit Association Tests to measure implicit attitudes and stereotypes about race. Dependent variables were recommendations for pain management, urinary tract infections, attention deficit hyperactivity disorder, and asthma, measured by case vignettes. We used correlational analysis to assess associations among measures and hierarchical multiple regression to measure the interactive effect of the attitude measures and patients' race on treatment recommendations. RESULTS: Pediatricians' implicit (unconscious) attitudes and stereotypes were associated with treatment recommendations. The association between unconscious bias and patient's race was statistically significant for prescribing a narcotic medication for pain following surgery. As pediatricians' implicit pro-White bias increased, prescribing narcotic medication decreased for African American patients but not for the White patients. Self-reported attitudes about race were associated with some treatment recommendations. CONCLUSIONS: Pediatricians' implicit attitudes about race affect pain management. There is a need to better understand the influence of physicians' unconscious beliefs about race on pain and other areas of care.