Insights into the Feasibility and Acceptability of a Mobile Insulin Titration Application in Clinical Practice and Its Effects on Diabetes Outcomes.

Introduction: Insulin therapy is most effective if patients learn how to properly adjust insulin to achieve glycaemic targets. There is a need for methods and tools that can assist these processes in clinical practice. The purpose of this feasibility study was to evaluate an approach to support insulin dose adjustment in individual patients using a mobile titration application (app). Methods: A cohort of adults (N=36) with type 2 diabetes with suboptimal glycaemia who were starting basal insulin self-titration were trained by a diabetes care and education specialist to use a mobile titration app to guide adjusting insulin doses. Glycaemia, diabetes distress and patient and provider satisfaction were assessed during the first 3 months after initiating basal insulin titration using the mobile app. Results: Mean haemoglobin type A1c (HbA1c) was significantly reduced by an average of 2.1 ± 2.2% from baseline to 3 months (p<0.001). Diabetes distress significantly decreased from baseline to follow-up with scores going down (or improving) across all scales. Both patients and providers reported high levels of satisfaction and positive experiences. Conclusion: The model offers a promising solution to streamline insulin dosage adjustments to achieve specific clinical and self-management goals with high expectations for long-term benefits and warrants further investigation.

Mobile Applications to Support Diabetes Self-Management Education: Patient Experiences and Provider Perspectives.

BACKGROUND: Diabetes self-management education and support (DSMES) is a critical component of diabetes care, but time for it is often limited. Digital tools, such as mobile applications (apps), show promise in extending efforts and supporting self-management education, but have not been fully used. Objectives of this multi-phase study were to (1) evaluate an app designed to support patients with insulin therapy and (2) examine provider perspectives on DSMES apps. METHODS: Phase 1: Thirty-two adult patients with type 2 diabetes new to or having difficulties with insulin therapy were introduced to the BDTM Diabetes Care App. Three-month app use and satisfaction and changes in hemoglobin A1c (HbA1c) and diabetes distress were assessed. Phase 2: Sixty diabetes providers completed a survey about their experiences with and perspectives on DSMES apps. RESULTS: Phase 1: Patients reported satisfaction with the app, and significant improvements in HbA1c and diabetes distress were observed. Phase 2: Most providers viewed apps as adjuncts to diabetes education. Only 33% had previous app experience; however, 100% would consider recommending apps to their patients. Most would spend 5-15 minutes introducing apps to patients. All respondents agreed that the following DSMES app features-evidence-based educational content, data logging and tracking features, customizable user experience, digital coaching via goal setting or reminders, and ability to share data with providers-are key components to consider. CONCLUSIONS: Findings suggest DSMES apps can play a role in self-management support and provide guidance on factors to consider when introducing digital tools into clinical practice. TRIAL REGISTRATION: Clinicaltrials.gov, #NCT03999268.

Partnering for prevention in under-resourced communities: a randomized pilot study.

BACKGROUND: Promoting health early in life is crucial to obesity prevention, but families in under-resourced communities face barriers to establishing healthy routines. The purpose of this pilot study was to examine the feasibility and preliminary effects of two dietary interventions for families in under-resourced communities. METHODS: Fifty-one caregivers of young children (aged 0-5 years) were recruited from six community centers located in heavily populated neighborhoods with high poverty rates (i.e., under-resourced neighborhoods) in southwestern Pennsylvania. A longitudinal pilot study was conducted to examine feasibility as a primary outcome and change in dietary variety (24-Hour Recall), risk of nutritional problems (Nutrition Screen for Every Preschooler), and parenting stress (Parenting Stress Index-Short Form) over time and between groups as secondary outcomes. Six sites were randomized to receive Cooking Matters for Parents, Mealtime PREP, or a combined program (Cooking Matters + Mealtime PREP). Cooking Matters for Parents is a six-week nutrition education program designed to help parents of young children plan and cook healthy meals on a budget. Mealtime PREP is a six-week routine-based intervention designed to promote healthy dietary variety among young children. We predicted that we could feasibly deliver both programs and the combined program as determined by a priori benchmarks (ability to recruit ≥ 8 participants per site; achieving an 80% intervention completion rate; being rated as an acceptable intervention by 95% of intervention completers, and treatment fidelity of ≥ 90%). Descriptive statistics and individual growth models were used to analyze data. RESULTS: Of 51 recruited participants, 49 were eligible, randomized by site, and included in the analyses. Fourteen were randomized to Cooking Matters, 13 to Mealtime PREP, and 22 to the combined program. Three of 4 feasibility benchmarks were met. Over time, improvements were observed in child dietary variety (p < 0.01, SE = 0.99), child nutrition risk (p = 0.01, SE = 0.61), and parenting stress (p = 0.04, SE = 1.33). An additive benefit of the combined intervention was observed for dietary variety (p = 0.03, SE = 0.79). No adverse events were observed or reported. CONCLUSIONS: Offering complementary dietary interventions in under-resourced communities is feasible and shows promise to improve child and parent health. TRIAL REGISTRATION: ClinicalTrials.gov (NCT03559907).

Connecting Families at Risk for Food Insecurity With Nutrition Assistance Through a Clinical-Community Direct Referral Model.

OBJECTIVE: To assess the feasibility of a clinical-community direct referral model to enroll eligible households in the Supplemental Nutrition Assistance Program (SNAP). METHODS: Pediatric clinics screening for food insecurity (n = 27) invited families experiencing food insecurity to participate in a direct referral to a local organization that assists with SNAP applications. A food stamp specialist telephoned participants to determine SNAP eligibility, assist with the application, and/or provide other supports. Referrals, eligibility determination, enrollment, and estimated benefits were tracked. RESULTS: A total of 486 families were referred to the community partner; 72% (n = 351) were successfully contacted by a food stamp specialist, with 17% (n = 83) applying for SNAP benefits. Another 16% (n = 79) were already enrolled in SNAP but received an additional service. CONCLUSIONS AND IMPLICATIONS: This referral model was feasible and increased the number of families who received nutrition assistance. This approach could be adapted for other health-related social needs.

Effect of a Primary Care-Based Diabetes Education Model on Provider Referrals and Patient Participation.

PURPOSE: The purpose of this study was to evaluate the impact of a primary care (PC)-based delivery model on diabetes self-management education and support (DSMES) referrals and participation. Despite evidence that DSMES is a critical component of diabetes care, referrals and participation remain low. METHODS: PC practices were assigned to the intervention (n = 6) or usual care (n = 6). Intervention practices had direct access to a diabetes educator (DE) and applied patient-centered medical home elements to DSMES delivery. Usual care practices referred patients to traditional hospital-based outpatient DSMES programs. DSMES referrals and participation were examined for patients with diabetes, 18 to 75 years old, presenting to PC over 18 months (n = 4,894) and compared between groups. RESULTS: Compared to the usual care group, a higher percentage of patients in the intervention practices were referred to DSMES (18.4% vs 13.4%; P < .0001), and of those referred, a higher percentage of patients in the intervention practices participated in DSMES (34.9% vs 26.1%; P = .02). Patient-level factors predicting referrals were obesity (odds ratio [OR] = 1.6), higher A1C (OR = 1.4), female (OR = 1.3), and younger age (OR = 0.98). The only patient-level factor that predicted DSMES participation was lower A1C (OR = 0.9). CONCLUSIONS: This study demonstrates the positive influence of a PC-based intervention on DSMES referral and participation. However, modest improvements in DSMES rates, even with targeted efforts to address reported barriers, raise questions as to what is truly needed to drive meaningful change.

Satter Eating Competence Inventory Subscale Restructure After Confirmatory Factor Analysis.

OBJECTIVE: To examine the structural validity of the empirically and theoretically derived Satter Eating Competence Inventory (ecSI 2.0). METHODS: Confirmatory factor analyses with 3 databases and a merger with 3 additional data sets (n = 2,010) from demographically heterogeneous samples. RESULTS: Findings supported retaining all 16 items and migration of the item I trust myself to eat enough for me from the Internal Regulation to Eating Attitudes subscales, providing 4 distinct but correlated subscales and an adequately fitting model, χ2(98) = 1,364.27, P < .001, comparative fit index = .91, root mean square error of approximation = .07, 95% confidence interval, 0.07-0.08, standardized root mean square residual = .05. CONCLUSION AND IMPLICATIONS: Psychometric integrity of the 16-item ecSI 2.0 was affirmed. Continued examination is recommended with cultural and linguistically diverse samples and network analyses to identify dynamic interactions among items.

Brain volume and white matter in youth with type 2 diabetes compared to obese and normal weight, non-diabetic peers: A pilot study.

Type 2 Diabetes Mellitus (T2DM) and obesity are linked to specific patterns of subcortical brain atrophy and decreased microstructural integrity of white matter. Fifteen adolescents (12-21-years-old, 80% Caucasian, 15% African American, mean BMI=32)-five with T2DM confirmed by oral glucose tolerance test, five matched obese adolescent controls without diabetes (OBCN), and five matched (race, sex) normal-weight controls (NWCN)-underwent Magnetic Resonance Imaging (MRI) for the collection of gray matter volume and white matter integrity. Analyses of Variance (ANOVAs) of the neuroimaging data revealed significant differences in caudate nucleus volume [F(2,12)=7.79, p<0.05] such that the normal-weight group had significantly greater volume than the obese and T2DM groups (NWCN>OBCN, p=0.020; OBCN>T2DM, p=0.042; and NWCN>T2DM; p=0.003) after controlling for participant Body Mass Index (BMI). Similarly, there was a main effect for the volume of the thalamus [F(2,12)=4.39, p<0.05] with greater volume for both the NWC and the OBC groups in comparison to the T2DM group (NWC>T2DM, p=0.020; OBC>T2DM; p=0.040). Finally, an examination of white matter integrity among the three groups illustrated a pattern of white matter integrity reduction between normal-weight participants and both obese controls and T2DM participants, with T2DM demonstrating the greatest deficit in functional anisotropy (FA) volume, but these results were not significant after further controlling for BMI. Results from the current pilot study illuminate a host of brain morphology differences between youth with T2DM, obese youth, and normal-weight controls; future research with a larger sample size is critical.

Validation of a measure of the Satter eating competence model with low-income females.

BACKGROUND: The purpose of this study was to evaluate the construct validity of a version of the ecSatter Inventory (ecSI), a measure of eating competence (EC), as adapted for use in a low-income (LI) population. METHODS: Females (n=507), aged 18 to 45 years, living in households with a history of participating in the Supplemental Nutrition Assistance Program completed a web-based survey that included the ecSI for LI (ecSI/LI) and valid measures of cognitive and affective eating behavior, food preference and practice, and food preparation. RESULTS: Most correlations and differences between eating competent and non-eating competent categories and among EC tertiles were compatible with hypothesized relationships. ecSI/LI scores were positively related with self-reported physical activity, food acceptance, fruit and vegetable intake, and food planning/resource management. ecSI/LI scores were negatively associated with body mass index, dissatisfaction with body weight, tendency to overeat in response to external or emotional stimuli, and indices of psychosocial attributes related to disordered eating. CONCLUSIONS: The ecSI/LI is a valid measure of EC for low-income females and provides a tool for researchers and educators to assess intervention outcomes and further explore the EC construct.