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BEAD-T1D: Building the Evidence to Address Disengagement in Type 1 Diabetes

Improving Outcomes in Pediatric Diabetes: Building the Evidence Base to Inform Effective Diabetes Technology Interventions

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05488119
Acronym
BEAD-T1D
Enrollment
21
Registered
2022-08-04
Start date
2025-09-03
Completion date
2026-03-19
Last updated
2026-07-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes

Keywords

Diabetes Technology, Pediatric Type 1 Diabetes

Brief summary

Youth with public insurance underutilize diabetes care, particularly diabetes technology which is associated with improvement in diabetes-specific outcomes. Thus, we urgently need studies to understand and increase diabetes technology utilization. This proposed research will (1) improve representation of youth in the literature, (2) address the gap in knowledge of barriers and promoters in youth, and (3) identify and address factors associated with diabetes technology uptake and utilization.

Detailed description

As diabetes technologies have become more innovative and effective in the management of pediatric type 1 diabetes (T1D), research and usage has not engaged all youth living with T1D . Studies have consistently demonstrated lower rates of diabetes technology use in some youth. Although diabetes technology has the potential to improve in pediatric T1D outcomes. This proposal aims to build an evidence base for data-driven interventions designed to increase uptake and utilization of diabetes innovations by addressing barriers and supporting promoters of diabetes technology use. Ananta Addala, D.O., M.P.H, is a physician scientist committed to a career as an independent investigator addressing factors associated with in T1D management and outcomes. Dr. Addala's longstanding research and clinical interests are to promote care for youth with T1D. As a physician with a background in pediatric endocrinology, epidemiology, and behavioral health, Dr. Addala is uniquely qualified to address factors associated with diabetes technology use youth with T1D. Dr. Addala has enlisted a multi-disciplinary mentorship team comprised of experts in the fields of pediatric T1D, health disparities, statistics, and mixed method study design to successfully execute this proposal and launch an independent research career in pediatric T1D. The overall objective of this proposal is to discover factors associated with diabetes technology use in youth with T1D and public insurance and develop a brief intervention, as a means to understand and improve pediatric T1D outcomes. This will be accomplished through two aims. In aim 1, focusing on the family, Dr. Addala will construct an evidence base of barriers and promoters to diabetes technology use in youth with public insurance in order to formulate and test a brief pilot intervention aimed at increasing uptake. In aim 2, this time focusing on the providers, Dr. Addala will construct the evidence base on barriers and promoters to recommending diabetes technology to youth with public insurance in order to formulate and test a brief pilot intervention to increase provider recommendation of diabetes technology. Taken together, findings from Aims 1 and 2 will result in the development of an intervention aimed at increasing diabetes technology uptake and access in youth, thereby improving T1D outcomes. Dr. Addala will use the K23 mentored award to execute an in-depth training plan which includes formal coursework and structured mentorship by her mentors to advance her understanding of mixed methods research, intervention development, and expertise on statistical methods. This proposal is foundational to a future independent clinical trial to evaluate the efficacy of the interventions developed on promoters and barriers of diabetes technology use in youth with T1D.

Interventions

BEHAVIORALIntervention to increase diabetes technology uptake

The design for this phase is a prospective pilot study. The intervention modules will be delivered weekly over a four-week period and will include pre- and post-intervention assessments of survey measurements. The investigators will also evaluate youth diabetes management and technology use. Families will be compensated in a stepwise fashion. Virtual delivery of the pilot intervention will facilitate national recruitment and allow for recruitment during the pandemic or any ensuing limitations to in-person recruitment. I will recruit 20 families or providers to participate in the delivery of the pilot intervention designed in Phase 1 of the study via a stakeholder advisory board.

Sponsors

Stanford University
Lead SponsorOTHER
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
12 Years to No maximum
Healthy volunteers
No

Inclusion criteria

The investigators will include youth aged 12-21 years in this study. The lower limit of 12 years was selected as this is the age when youth are able to understand and reflect on the topics discussed in the survey measures and focus groups. The upper limit of 21 years was selected as this is the upper limit of public payer coverage (for example, California Children's Services). This aim focuses specifically on the family (youth and parent/guardian) factors that determine diabetes technology use and thus requires that youth are living with their parent/guardian in order to be included in this study. For youth under 18, the investigators will obtain both parental permission and youth assent to participate in the study. For those older than 18, the investigators will obtain consent from the youth alone.

Exclusion criteria

* Diabetes diagnosis in youth other than type 1 * T1D youth less than the age of 12 or older than 21 * non-public payer insurance * caregivers not living with the youth with type 1 diabetes

Design outcomes

Primary

MeasureTime frameDescription
Interviews with you on your feedback on the interventionUpon completion of intervention on week 4The investigators will ask you questions in a 30-minute interview at the end of the four-week intervention. The investigators will as your feedback on ways the intervention could be more effective and what changes can be made to the intervention so that it is most effective. The investigators will ask you if you are likely to change your diabetes management after completing the intervention.
Survey questions on your feedback on the interventionUpon completion of intervention on week 4The investigators will ask you questions in a feedback survey at the end of the four-week intervention. These questions will be developed by the investigators and will ask you ways the intervention could be more effective and what changes can be made to the intervention so that it is most effective. Example questions of what the investigators plan to ask in the survey include: * Was the study explained appropriately? * Was it logistically easy to participate in the study? How could it have improved? * What parts of the intervention were most helpful? * What parts could be cut? * What parts need to be added? * Are there certain types of people who are likely to do better with this intervention?
Tracking people who complete the studyThrough study completion, an average of one yearThe investigators will also keep track of who enrolled in the study and track how many people completed the intervention.

Secondary

MeasureTime frameDescription
Changes in diabetes technology usageAt the start of the study and upon completion of intervention on week 4The investigators will ask you survey questions to understand your attitudes towards diabetes technology at the start and end of the study intervention. The investigators will use a validated survey measure called Diabetes Technology Attitudes Survey to assess this in addition to having conversations with you to learn your beliefs about diabetes technology.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 11, 2026