Diabetes related distress is high in inpatients with diabetes

Employing user-centered design and education sciences to inform training of diabetes survival skills

Background

Patients newly diagnosed with diabetes mellitus (diabetes), who require insulin must acquire diabetes "survival" skills prior to discharge home. COVID-19 revealed considerable limitations of traditional in-person, time-intensive delivery of diabetes education and survival skills training (diabetes survival skills training). Furthermore, diabetes survival skills training has not been designed to meet the specific learning needs of patients with diabetes and their caregivers, particularly if delivered by telehealth. The objective of the study was to identify and understand the needs of users (patients newly prescribed insulin and their caregivers) to inform the design of a diabetes survival skills training, specifically for telehealth delivery, through the application of user-centered design and adult learning and education principles.

Methods

Users included patients newly prescribed insulin, their caregivers, and laypersons without diabetes. In semi-structured interviews, users were asked about experienced or perceived challenges in learning diabetes survival skills. Interviews were audio-recorded and transcribed. Investigators performed iterative rounds of coding of interview transcripts utilizing a constant comparative method to identify themes describing the dominant challenges users experienced. Themes were then mapped to adult learning and education principles to identify novel educational design solutions that can be applied to telehealth-based learning.

Results

We interviewed 18 users: patients (N = 6, 33 %), caregivers (N = 4, 22 %), and laypersons (N = 8, 44 %). Users consistently described challenges in understanding diabetes survival skills while hospitalized; in preparing needed supplies to execute diabetes survival skills; and in executing diabetes survival skills at home. The challenges mapped to three educational strategies: (1) spiral learning; (2) repetitive goal directed practice and feedback, which have the potential to translate into design solutions supporting remote/virtual learning; and (3) form fits function organizer, which supports safe organization and use of supplies to execute diabetes survival skills independently.

Conclusion

Learning complex tasks, such as diabetes survival skills, requires time, repetition, and continued support. The combination of a user-centered design approach to uncover learning needs as well as identification of relevant adult learning and education principles could inform the design of more user-centered, feasible, effective, and sustainable diabetes survival skills training for telehealth delivery.

Diabetes-related distress and associated factors among adults with diabetes in Germany: Results of the nationwide study "Disease knowledge and information needs - Diabetes mellitus 2017"

BACKGROUND

Diabetes-related distress (DRD) can affect diabetes management adversely. In lack of population-based data, the frequency and determinants of DRD among adults with diabetes in Germany remain controversial.

METHODS

This study included 1367 adults with diabetes who participated in a nationwide health telephone survey conducted among German adults aged 18 years and older in 2017. The short form of the Problem Areas in Diabetes (PAID-5) scale was used to assess DRD. The associations of high DRD (PAID-5 sum score ≥ 8) with socio-demographics, diabetes-related risk factors, diabetes clinical characteristics as well as quality of self-care and chronic illness care assessed by patients were tested in multivariable logistic regression models.

RESULTS

The overall DRD prevalence was 15.1% (95% confidence intervals, 95% CIs, 12.5-18.0%) with no significant difference between men (14.7%, 95% CIs 11.2-19.1%) and women (15.4%, 11.9-19.8%). In multivariable analyses, DRD was significantly associated with younger age (odds ratio 0.96, 95% CIs 0.94-0.98, per year), immigration background (2.26, 1.16-4.42), current smoking (2.06, 1.14-3.70), insulin use (2.57, 1.45-4.56), and the presence of diabetes-specific complications (1.80, 1.10-2.94) or depressive symptoms (5.34, 3.24-8.81). Among those with depressive symptoms (18,4% of the study population), 38.3% also had DRD, which accounted for 7.0% (95% CIs 5.3-9.3%) of the study population.

CONCLUSION

DRD is a common health problem among adults with diabetes in Germany, and highly correlates with depressive symptoms, current smoking, immigration background, and insulin use. Addressing DRD needs to become an integrative part of ambulatory diabetes care.

Factors Associated with Diabetes-Related Distress in Patients with Type 2 Diabetes Mellitus

Introduction: The aim of this study was to identify factors associated with diabetes-related distress (DRD) in adult patients with type 2 diabetes mellitus (T2DM).

Material and Methods: This was an analysis of data previously obtained from two cross-sectional studies, in which medical charts review and direct interviews were employed to obtain medical and demographic data. Vital status assessment and anthropometric measurements were performed. The patients filled out specific questionnaires for DRD (DDS-17), symptoms of depression (PHQ-9), and of anxiety (GAD-7). A clinical meaningful threshold for DRD was set at ≥2.0 points. Symptoms of depression and anxiety, number of chronic complications, therapy for T2DM, anthropometric and cardio-metabolic parameters, as well as demographic, socio-economic data, and lifestyle habits were evaluated as factors possibly associated with DRD by univariate and multiple regression analyses.

Results: A total of 271 patients with T2DM were included in this analysis, of whom 25.1% presented a DDS-17 score ≥2 points (and 9.96% a DDS-17 score ≥3). Subjects with a DDS-17 score ≥2 had higher HbA1c levels (p = 0.018), PHQ-9 and GAD-7 scores (p <0.0001 for both). The multiple regression model indicated that anxiety (p = 0.026), depression (p = 0.001), and ethnicity (p = 0.002) were significantly correlated with DRD (p <0.0001). With regards to subscales, the HbA1c (p = 0.005) and PHQ-9 score (p <0.0001) were significantly associated with emotional burden, ethnicity (p = 0.001) and depression (p = 0.004) with regimen-related distress, whereas ethnicity (p = 0.010) and GAD-7 score (p = 0.012) with interpersonal distress.

Conclusions: Psychosocial factors like depression, anxiety, or ethnicity significantly contribute to DRD in patients with T2DM, and worse glycemic control is associated with emotional burden.