2023
DOI: 10.1177/26350106221145323
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Racial Disparities in Technology Use in Children With Type 1 Diabetes: A Qualitative Content Analysis of Parents’ Perspectives

Abstract: Purpose: The purpose of the study was to describe differences in non-Hispanic Black (NHB) and non-Hispanic White (NHW) parents’ perceptions of factors that influence the use of diabetes technology. Methods: Focus groups were conducted with parents of NHB and NHW children at a pediatric diabetes center in the Northeast United States. Kilbourne’s health disparities framework informed the focus group guide and a priori coding for directed content analysis. Further analysis allowed subcategories to emerge inductiv… Show more

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Cited by 5 publications
(5 citation statements)
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“…In addition, Agarwal et al 79 found that providers often played the role of gatekeeper, with some participants (either non-Hispanic Black or Hispanic) only learning about the existence of these technologies once participating in the study. Other participants stated the same experiences as those found by Howe et al 73 The lower continuation rate could be due to issues with the support systems surrounding CGM use or due to changes in reimbursement eligibility. The presence of implicit bias was further investigated in a vignette study, in which the patients had different names, which demonstrated the presence of ethnic bias in 34% of the provider cohort.…”
Section: The Influences Of Ses Social Context and Ethnicitysupporting
confidence: 52%
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“…In addition, Agarwal et al 79 found that providers often played the role of gatekeeper, with some participants (either non-Hispanic Black or Hispanic) only learning about the existence of these technologies once participating in the study. Other participants stated the same experiences as those found by Howe et al 73 The lower continuation rate could be due to issues with the support systems surrounding CGM use or due to changes in reimbursement eligibility. The presence of implicit bias was further investigated in a vignette study, in which the patients had different names, which demonstrated the presence of ethnic bias in 34% of the provider cohort.…”
Section: The Influences Of Ses Social Context and Ethnicitysupporting
confidence: 52%
“…As such, not only are ethnic minorities less likely to be initiated on CGMs but they are also less likely to continue it once attained. The lower prescription rate could be indicative of the use of subjective criteria and the presence of implicit biases in offering CGMs to ethnic minorities, which was also found by Howe et al 73 They found that the argument of needing to have stable blood glucose levels prior to initiation was often used in communication with non-Hispanic Black parents, whereas it was not with non-Hispanic White parents. In addition, Agarwal et al 79 found that providers often played the role of gatekeeper, with some participants (either non-Hispanic Black or Hispanic) only learning about the existence of these technologies once participating in the study.…”
Section: The Influences Of Ses Social Context and Ethnicitymentioning
confidence: 53%
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“…Finally, although not specifically examined in this study, there are persistent and marked sociodemographic disparities in the use of CGM (Addala et al, 2021). Furthermore, qualitative data suggest that there are differences in patient and caregiver factors related to CGM among racially and ethnically minoritized youth with T1D (e.g., perceptions of diabetes technologies; Howe et al, 2023; Mencher et al, 2022). Future research and clinical efforts should therefore be mindful of issues of health equity, recruit racially and ethnically diverse samples, examine how social determinants of health relate to consistent CGM use, and develop and test interventions specifically for underrepresented groups.…”
Section: Discussionmentioning
confidence: 99%
“…At present, underserved people with T1D are less likely to use technologies such as continuous glucose monitoring (CGM) and insulin pump therapy 44,45 . There are numerous contributors to the digital divide in T1D, 46–54 as illustrated in Figure 3.…”
Section: Improving Access To Digital Health Technologies For People W...mentioning
confidence: 99%