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Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform:
Nicole A Kahhan1, Larry A Fox1, Matthew Benson1
1Nemours Children's Health- Jacksonville, 807 Children's Way, Jacksonville, FL, 32207, United States, 1 904-697-3600.
Insights
Digital health platforms can screen for diabetes distress (DD) in pediatric Type 1 diabetes (T1D) patients and caregivers. While implementation showed promise, low screening rates highlight the need for future quality improvement initiatives.
Area of Science:
- Pediatric endocrinology
- Digital health
- Psychological well-being
Background:
- Type 1 diabetes (T1D) management is complex, involving child/caregiver behaviors and psychological factors like diabetes distress (DD).
- Approximately 40% of youth and 61% of caregivers experience DD, impacting T1D care.
- Screening for DD is recommended to facilitate referrals and improve patient/caregiver well-being.
Purpose of the Study:
- To detail the creation, implementation, and refinement of a DD screening process for pediatric T1D patients and caregivers.
- To utilize a digital health platform for routine DD screening within an outpatient endocrinology clinic.
Main Methods:
- Implemented DD screening via a digital health platform in an outpatient endocrinology clinic for children aged 8-12.99 years and their caregivers.
- Utilized validated measures completed pre-visit, with initial manual review followed by a digital best practice alert (BPA) system.
- Provided resources to families identified with DD through the digital platform.
Main Results:
- Achieved absolute completion rates of 36.78% for children and 38.83% for caregivers, with adjusted screening rates of 52.02% and 54.48%, respectively.
- Identified elevated DD in 21 children (mean HbA1c 8.04%) and 26 caregivers.
- Successfully provided resources to families, with all families receiving resources after BPA implementation.
Conclusions:
- Digital platforms can integrate DD education, screening, and response in outpatient endocrinology clinics, facilitating timely referrals.
- Low screening rates and identified barriers necessitate quality improvement initiatives for better DD identification and response.
- Further efforts are needed to enhance screening rates and optimize the identification and management of DD in pediatric T1D populations.
Background:
Type 1 diabetes (T1D) management requires following a complex and constant regimen relying on child or caregiver behaviors, skills, and knowledge. Psychological factors such as diabetes distress (DD), depression, and burnout are pertinent considerations in the treatment of pediatric T1D. Approximately 40% of youth and 61% of caregivers experience DD. Implementation of DD screening as part of clinical best practice is recommended and may facilitate treatment referral, perhaps leading to improved health or well-being for youth with T1D and their caregivers. By building on existing institutional infrastructure when available, screening via digital health platforms (applications, or "apps") may allow for timely screening of, and response to, DD.
Objective:
This work details the creation, implementation, and refinement of a process to screen for DD in youth and their caregivers in the context of routine T1D care using a digital health platform.
Methods:
DD screening was implemented in an outpatient endocrinology clinic over 1 year as part of a larger screen-to-treat trial for children aged 8-12.99 years and their caregivers. Validated measures were sent via digital health platform to be completed prior to the clinic visit. Results were initially reviewed manually, but a digital best practice alert (BPA) was later built to notify staff of elevated scores. Families experiencing DD received resources sent via the digital health platform. For this secondary analysis, child demographics and glycated hemoglobin A1c (HbA1c) were collected.
Results:
During the screening period, absolute completion rates were 36.78% and 38.83%, with adjusted screening rates at 52.02% and 54.48%, for children and caregivers, respectively. A total of 21 children (mean HbA1c 8.04%, SD 1.39%) and 26 caregivers (child mean HbA1c 8.04%, SD 1.72%) reported elevated DD. Prior to BPA development, resources were sent to all but 1 family. After BPA implementation, all families were sent resources.
Conclusions:
Early findings indicate that DD education, screening, and response can be integrated via digital platforms in a freestanding outpatient endocrinology clinic, thereby facilitating timely treatment referral and provision of resources for those identified with distress. Notably, in the observed 1-year screening period, screening rates were low, and barriers to implementation were identified. While some implementation challenges were iteratively addressed, there is a need for future quality improvement initiatives to improve screening rates and the identification of, or response to, DD in our pediatric patients and their families.
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