Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study

被引:66
作者
Addala, Ananta [1 ]
Hanes, Sarah [1 ]
Naranjo, Diana [1 ,2 ]
Maahs, David M. [1 ,2 ]
Hood, Korey K. [1 ,2 ]
机构
[1] Stanford Univ, Dept Pediat, Div Endocrinol, 300 Pasteur Dr,Rm G313, Stanford, CA 94305 USA
[2] Stanford Diabet Res Ctr, Stanford, CA USA
来源
JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY | 2021年 / 15卷 / 05期
关键词
diabetes technology; health disparities; implicit bias; insurance; minority health; pediatric type 1 diabetes;
D O I
10.1177/19322968211006476
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Diabetes technology use is associated with favorable type 1 diabetes (T1D) outcomes. American youth with public insurance, a proxy for low socioeconomic status, use less diabetes technology than those with private insurance. We aimed to evaluate the role of insurance-mediated provider implicit bias, defined as the systematic discrimination of youth with public insurance, on diabetes technology recommendations for youth with T1D in the United States. Methods: Multi-disciplinary pediatric diabetes providers completed a bias assessment comprised of a clinical vignette and ranking exercises (n=39). Provider bias was defined as providers: (1) recommending more technology for those on private insurance versus public insurance or (2) ranking insurance in the top 2 of 7 reasons to offer technology. Bias and provider characteristics were analyzed with descriptive statistics, group comparisons, and multivariate logistic regression. Results: The majority of providers [44.1 +/- 10.0years old, 83% female, 79% non-Hispanic white, 49% physician, 12.2 +/- 10.0 practice-years] demonstrated bias (n=33/39, 84.6%). Compared to the group without bias, the group with bias had practiced longer (13.4 +/- 10.4years vs 5.7 +/- 3.6years, P=.003) but otherwise had similar characteristics including age (44.4 +/- 10.2 vs 42.6 +/- 10.1, p=0.701). In the logistic regression, practice-years remained significant (OR=1.47, 95% CI [1.02,2.13]; P=.007) when age, sex, race/ethnicity, provider role, percent public insurance served, and workplace location were included. Conclusions: Provider bias to recommend technology based on insurance was common in our cohort and increased with years in practice. There are likely many reasons for this finding, including healthcare system drivers, yet as gatekeepers to diabetes technology, providers may be contributing to inequities in pediatric T1D in the United States.
引用
收藏
页码:1027 / 1033
页数:7
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