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Individuals with diabetes who are of lower socioeconomic status (SES) are more likely to have poorer diabetes-related outcomes (e.g., poorer glycemic control and more avoidable complications). Digital health advancements provide unique opportunities to reduce health inequities for this high-risk group. This chapter addresses digital health interventions, including access to and use of these interventions by people of lower SES (P-LSES). In most cases, as technologies have progressed, they have become increasingly promising in their potential to meet the distinct needs of this high-risk group; however, it is largely unclear at this time whether these technologies are effective tools for P-LSES with diabetes, as research specific to this group has been limited. Future research must focus on digital technologies that are both purposefully designed for and thoughtfully delivered to individuals of lower SES; otherwise, technologies may further increase already existing disparities in diabetes outcomes across socioeconomic groups.

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.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.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.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.

Background: Text message interventions are feasible, preferable, and sometimes effective for youth with diabetes. However, few, if any studies, have examined the personalized use of text messages with youth repeatedly hospitalized for diabetic ketoacidosis (DKA) and their caregivers. This study characterizes the use of personalized text messages in Novel Interventions in Children’s Healthcare (NICH). Methods: Approximately 2 months of text messages sent to youth with repeat DKA and their caregivers were logged regarding the following text characteristics: (1) content, (2) intervention type, (3) timing, and (4) recipient characteristics. Results: NICH interventionists sent 2.3 and 1.5 texts per day to patients and caregivers, respectively. Approximately 59% of outgoing texts occurred outside of typical business hours, and roughly 68% of texts contained some form of support and/or encouragement. The relation between type of intended intervention and day/time of text was significant, χ2(2, N = 5,808) = 266.93, P < .001. Interventionists were more likely to send behavioral intervention text messages outside of business hours, whereas they were more likely to send care coordination and case management text messages during business hours. Conclusions: To our knowledge, this is the first study to specifically categorize and describe the personalized use of text messages with youth repeatedly hospitalized for DKA and their caregivers. Findings indicate that a promising treatment program for these youth frequently used text interventions to deliver praise and encouragement to patients and caregivers alike, often outside of typical business hours, and tailored text content based on patient and caregiver characteristics.

Managing diabetes is known to be invasive, pervasive, and unrelenting, making adherence to the treatment regimen difficult to accomplish. Ongoing clinical and research efforts have attempted to address the struggles faced by youth and adults with diabetes. Recent research supports the integration of behavioral interventions into clinical practice to assist patients and families with the goal of improving health outcomes. Empirically supported and well-documented behavioral learning principles, particularly positive reinforcement, are often underutilized in modern diabetes care. We posit that most diabetes care providers are aware of these principles. However, the constraints of today’s medical systems have become significant barriers to purposefully and consistently applying them to promote improved diabetes care. We provide a brief overview of basic behavioral principles and common barriers to implementation, discuss relevant interventions, and present several examples of applications in clinical settings. We conclude with recommendations to raise awareness regarding the importance of consistently integrating relevant behavioral learning principles and interventions into diabetes care settings.

Diabetic ketoacidosis (DKA) is associated with negative health outcomes and high costs for patients, families, and communities. Interventions developed to effectively reduce DKA and related costs should target the multiple risk factors associated with DKA and adherence difficulties. Certain demographic, psychological, and family factors are associated with increased risk for adherence problems and DKA. Individuals with a combination of risk factors (e.g., mental health problems, low socioeconomic status, high family conflict) may be particularly vulnerable to DKA. Although several different interventions have demonstrated promise in improving adherence and/or decreasing the risk of DKA, the generalizability of treatment results to those individuals most vulnerable to DKA is limited. Approaches which include multiple evidence-based components of care, are flexible in treatment delivery (e.g., home- and community-based, utilize technology), and target the multiple risk factors across relevant systems (e.g., individual, family, school, medical) are warranted to effectively reduce DKA in vulnerable populations.