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Measures of Adherence and Challenges in Using Glucometer Data in Youth with Type 1 Diabetes: Rethinking the Value of Self-Report

Overview
Journal J Diabetes Res
Publisher Wiley
Specialty Endocrinology
Date 2018 Feb 13
PMID 29430465
Citations 2
Authors
Karishma A Datye
Niral J Patel
Sarah S Jaser
Affiliations
Soon will be listed here.
Abstract

Purpose: The current study compares the relative strength of associations of different adherence measures with glycemic control in adolescents with type 1 diabetes, while highlighting the challenges in using more objective measures (i.e., glucometer data).

Methods: Adolescents with type 1 diabetes ( = 149) and their caregivers completed a questionnaire measure assessing adolescents' adherence (Self-Care Inventory (SCI)) to the diabetes regimen. Adolescents' glucometers were downloaded to determine average blood glucose checks per day, as an objective measure of adherence. A measure of glycemic control (hemoglobin A1c (HbA1c)) was obtained as part of adolescents' regular clinic visits.

Results: Adolescents' self-reported adherence to the treatment regimen was more strongly correlated with HbA1c than caregivers' reports of adherence. In multivariate analyses, both adolescents' self-report of adherence and average blood glucose checks per day (obtained via a glucometer) were significant predictors of HbA1c. Challenges to obtaining glucometer data were identified.

Conclusions: The findings highlight adolescents' self-report of adherence using the SCI as a brief and meaningful measure to understand and improve adolescents' glycemic control, particularly when glucometer data is difficult to obtain.

Citing Articles

Mealtime Insulin BOLUS Score More Strongly Predicts HbA1c Than the Self-Care Inventory in Youth With Type 1 Diabetes.

Christie J, Clements M, Williams D, Cernich J, Patton S J Diabetes Sci Technol. 2023; 19(2):340-344.

PMID: 37568277 PMC: 11873986. DOI: 10.1177/19322968231192979.

THR1VE! Positive psychology intervention to treat diabetes distress in teens with type 1 diabetes: Rationale and trial design.

Jaser S, Datye K, Morrow T, Sinisterra M, LeStourgeon L, Abadula F Contemp Clin Trials. 2020; 96:106086.

PMID: 32682996 PMC: 7494522. DOI: 10.1016/j.cct.2020.106086.

Assessing strengths of children with type 1 diabetes: Validation of the Diabetes Strengths and Resilience (DSTAR) measure for ages 9 to 13.

Iturralde E, Hood K, Weissberg-Benchell J, Anderson B, Hilliard M Pediatr Diabetes. 2019; 20(7):1007-1015.

PMID: 31336011 PMC: 7337991. DOI: 10.1111/pedi.12898.

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