Inequalities in Access to Diabetes Technologies in Children with Type 1 Diabetes: A Multicenter, Cross-sectional Study from Türkiye.

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Tác giả: Murat Aydın, Ecem Can, Gülcan Delibağ, Beray S Eklioğlu, Elif Eviz, Tuğba Gökçe, Belma Haliloğlu, Şükrü Hatun, Kağan Ege Karakuş, Heves Kırmızıbekmez, Şervan Özalkak, Mehmet N Özbek, Sibel Sakarya, Gül Yeşiltepe-Mutlu, Nurdan Yıldırım, Ruken Yıldırım

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Turkey : Journal of clinical research in pediatric endocrinology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 719532

 OBJECTIVE: To determine inequalities in access to diabetes technologies and the effect of socioeconomic factors on families with children with type 1 diabetes. METHODS: In this multicenter, cross-sectional study, parents of children with type 1 diabetes completed a questionnaire about household sociodemographic characteristics, latest hemoglobin A1c (HbA1c) values, continuous glucose monitoring (CGM) and insulin pump use of children, the education and working status of parents. These characteristics were compared between technology use (only-CGM, only-pump, CGM+pump, no technology use). RESULTS: Among 882 families, only-CGM users, only-pump users, and CGM+pump users were compared with no technology users, adjusting for age, sex, region, education levels, number of working parents, and household income. Children living in the least developed region had lower odds of having only-CGM [odds ratio (OR)=0.20, 95% confidence interval (CI): 0.12-0.34, p<
 0.001] and having CGM+pump (OR=0.07, 95% CI: 0.03-0.22, p<
 0.001) compared with those living in the most developed region. Children with parents who had not finished high school had lower odds of having only-CGM (mothers: OR=0.36, 95% CI: 0.19-0.66, p=0.001
  fathers: OR=0.32, 95% CI: 0.18-0.60, p<
 0.001) or both CGM+pump (mothers: OR=0.27, 95% CI: 0.11-0.64, p=0.003
  fathers: OR=0.34, 95% CI: 0.15-0.79, p=0.012) rather than no-technology compared to children whose parents have a university degree. Every 40 increase in the household income increased the odds by 5% for having only-CGM (OR=1.05, 95% CI: 1.02-1.09, p<
 0.001) or CGM+pump (OR=1.05, 95% CI: 1.01-1.08, p<
 0.001). CONCLUSION: Socioeconomic factors, such as parental education, region of residence, and income were associated with inequality in access to technologies. The inequalities are more prominent in access to CGM.
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