Self-management among pre-teen and adolescent diabetes device users

Using Mixed Methods Research in Children with Type 1 Diabetes: a Methodological Review

PURPOSE OF REVIEW

Many factors influence disease management and glycemic levels in children with type 1 diabetes (T1D). However, these concepts are hard to examine in children using only a qualitative or quantitative research paradigm. Mixed methods research (MMR) offers creative and unique ways to study complex research questions in children and their families.

RECENT FINDINGS

A focused, methodological literature review revealed 20 empirical mixed methods research (MMR) studies that included children with T1D and/or their parents/caregivers. These studies were examined and synthesized to elicit themes and trends in MMR. Main themes that emerged included disease management, evaluation of interventions, and support. There were multiple inconsistencies between studies when reporting MMR definitions, rationales, and design. Limited studies use MMR approaches to examine concepts related to children with T1D. Findings from future MMR studies, especially ones that use child-report, may illuminate ways to improve disease management and lead to better glycemic levels and health outcomes.

Simulation Platform Development for Diabetes and Technology Self-Management

BACKGROUND

Specialized education is critical for optimal insulin pump use but is not widely utilized or accessible. We aimed to (1) test the usability and acceptability of A1Control, a simulation platform supporting insulin pump education, and (2) determine predictors of performance.

METHOD

Rural adult insulin pump users with type 1 diabetes (T1D) participated in a mixed methods usability study in 2 separate rounds. Participants navigated 3 simulations (ie, infusion site occlusion, hypoglycemia, exercise). Net Promoter Score (NPS) and Systems Usability Scale (SUS) were administered. Semi-structured interviews and direct observation were used to assess perceived usability, acceptability and performance. Synthetic Minority Oversampling Technique was used to fit predictive models for visualization of patterns leading to good or poor A1Control performance.

RESULTS

Participants (N = 13) were 28-70 years old, 10 used automated insulin delivery and 12 used continuous glucose monitoring (CGM). Mean NPS was 9.5 (range 9-10) and positive sentiment during interviews indicated very high acceptability. SUS (mean 88.5, range 70-100) indicted a high perceived usability. CGM percent wear ≥ 94%, time spent in hypoglycemia ≤ 54 mg/dl of <0.01%, and <70 mg/dl of 0.5% predicted successful site-occlusion scenario performance with 100% accuracy. BOLUS score ≥ 2, TDD ≥ 34, and technology brand predicted exercise scenario success with 100% accuracy. There were an insufficient number of failed hypoglycemia scenarios to assess predictors.

CONCLUSION

A1Control shows potential to increase access and frequency of self-management and technology education. Additional study is needed to determine sustained engagement and benefit.

Expect the unexpected: Adolescent and pre-teens' experience of diabetes technology self-management

OBJECTIVE

Only 17% of adolescents with type 1 diabetes (T1D) are currently meeting their glycemic targets despite advances in diabetes technologies. Self-management behaviors and challenges specific to use of diabetes technologies are insufficiently studied in adolescents. We aimed to describe the experience of diabetes technology self-management, including facilitators and barriers, among preteens/adolescents with low and high A1C.

RESEARCH DESIGN AND METHODS

Youth (10-18 years of age) with T1D who use insulin pump therapy were recruited from the larger quantitative cohort of a mixed methods study for participation in semi-structured qualitative interviews. Maximum variability sampling was used to recruit youth with A1C <7.5% (n = 5) and A1C >9% (n = 5). Participants' personal insulin pump and continuous glucose monitoring data were downloaded and served as a visual reference. Interviews were analyzed using a qualitative descriptive approach.

RESULTS

Participants were 50% female with a median age of 14.9 years and 80% used CGM. The sample was predominantly white (90.0%). Analysis produced four major themes, Bad Day, Expect the Unexpected, Nighttime Dependence, and Unpredictability, It's Really a Team and interconnecting subthemes. Youth characterized ''Bad Days'' as those requiring increased diabetes focus and self-management effort. The unpredictability (''Expect the Unexpected'') of glucose outcomes despite attention to self-management behaviors was considerable frustration.

CONCLUSIONS

Diabetes devices such as insulin pumps are complex machines that rely heavily on individual proficiency, surveillance, and self-management behaviors to achieve clinical benefit. Our findings highlight the dynamic nature of self-management and the multitude of factors that feed youths' self-management behaviors.