Background: There is growing evidence for the feasibility of text-based interventions for pediatric patients with type 1 diabetes (T1D). However, less is known regarding whether the use of personalized text messages with high-risk youth and their caregivers is associated with improvements in youth health. This study examines the use of diabetes-specific texts and associated health outcomes for participants of the Novel Interventions in Children's Healthcare (NICH) program. Methods: Text messages sent to youth with T1D and their caregivers during NICH intervention were coded regarding diabetes relevance and adherence-related content. Health outcome data (eg, HbA1c values, hospital admissions) prior to and following NICH program enrollment were collected. Results: Fewer than half (43%) of texts sent to patients and their caregivers were identified as being related to diabetes, and over 95% of diabetes-related texts were identified as adherence-related. Participants in the NICH program demonstrated a significant decrease in HbA1c values, t(23) = 2.78, p ≤.05, and DKA-related hospital visits, t(24) = 2.78, p ≤.01, during program involvement. Although no relationships were identified between patient-recipient text characteristics and health outcomes, the frequency and type of text messaging with caregivers was significantly associated with changes in health outcomes. Conclusions: This study represents the most extensive evaluation of diabetes-related SMS use and health outcomes for NICH participants to date. Findings demonstrate improvements in patient health during NICH program involvement. Implications include that sending frequent, personalized, and adherence-reinforcing texts to patients' caregivers may result in improved patient health, decreased utilization, and, potentially, associated reductions in health care costs.
CITATION STYLE
Wagner, D. V., Barry, S. A., Stoeckel, M., Teplitsky, L., & Harris, M. A. (2017). NICH at Its Best for Diabetes at Its Worst: Texting Teens and Their Caregivers for Better Outcomes. Journal of Diabetes Science and Technology, 11(3), 468–475. https://doi.org/10.1177/1932296817695337
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