Efficacy of a Digital Diabetes Logbook for People With Type 1, Type 2, and Gestational Diabetes: Results From a Multicenter, Open-Label, Parallel-Group, Randomized Controlled Trial

BACKGROUND

In a randomized controlled trial, the efficacy of a digital diabetes diary regarding a reduction of diabetes distress was evaluated.

METHODS

A randomized controlled trial with a 12-week follow-up was conducted in 41 study sites across Germany. Key eligibility criteria were a diagnosis of type 1, type 2, or gestational diabetes and regular self-monitoring of blood glucose. Participants were randomly assigned (2:1 ratio) to either use the digital diabetes logbook (mySugr PRO), or to the control group without app use. The primary outcome was the reduction in diabetes distress at the 12-week follow-up. All analyses were based on the intention-to-treat population with all randomized participants. The trial was registered at the German Register for Clinical Studies (DRKS00022923).

RESULTS

Between February 11, 2021, and June 24, 2022, 424 participants (50% female, 50% male) were included, with 282 being randomized to the intervention group (66.5%) and 142 to the control group (33.5%). A total of 397 participants completed the trial (drop-out rate: 6.4%). The median reduction in diabetes distress was 2.41 (interquartile range [IQR]: -2.50 to 8.11) in the intervention group and 1.25 (IQR: -5.00 to 7.50) in the control group. The model-based adjusted between-group difference was significant (-2.20, IQR: -4.02 to -0.38, P = .0182) favoring the intervention group. There were 27 adverse events, 17 (6.0%) in the intervention group, and 10 (7.0%) in the control group.

CONCLUSIONS

The efficacy of the digital diabetes logbook was demonstrated regarding improvements in mental health in people with type 1, type 2, and gestational diabetes.

Person-reported outcomes in diabetes care: What are they and why are they so important?

In this review, we aim to show how person-reported outcomes (PROs) and person-reported experiences (PREs) can significantly contribute to the way diabetes care is delivered, the involvement of people with diabetes in diabetes care, and the collaboration between health care professionals and people with diabetes. This review focuses on the definition and measurement of PROs and PREs, the importance of PROs and PREs for person-centred diabetes care, and integrating the perspectives of people with diabetes in the evaluation of medical, psychological and technological interventions. PROs have been increasingly accepted by Health Technology Assessment bodies and are therefore valued in the context of reimbursement decisions and consequently by regulators and other health care stakeholders for the allocation of health care resources. Furthermore, the review identified current challenges to the assessment and use of PROs and PREs in clinical care and research. These challenges relate to the combination of questionnaires and ecological momentary assessment for measuring PROs and PREs, lack of consensus on a core outcome set, limited sensitivity to change within many measures and insufficient standardization of what can be considered a minimal clinically important difference. Another issue that has not been sufficiently addressed is the involvement of people with diabetes in the design and development of measures to assess PROs and PREs.

Explaining improvement in diabetes distress: a longitudinal analysis of the predictive relevance of resilience and acceptance in people with type 1 diabetes

AIMS

To analyze if midterm improvement in diabetes distress can be explained by resilience, diabetes acceptance, and patient characteristics.

METHODS

N = 179 adults with type 1 diabetes were enrolled during their stay at a tertiary diabetes center (monocentric enrolment) and followed up over three months in a prospective, observational study ('DIA-LINK1'). Improvement in diabetes distress was assessed as reduction in the Problem Areas in Diabetes Scale score from baseline to follow-up. Resilience (Resilience Scale-13), acceptance (Diabetes Acceptance Scale), and patient characteristics were analyzed as predictors of improvement in diabetes distress using hierarchical multiple regression.

RESULTS

Greater reductions in diabetes distress were significantly explained by lower diabetes acceptance at baseline (β = -0.34, p < 0.01), while resilience, diabetes complications, and other person-related variables were not significantly related to changes in diabetes distress (all p > 0.05). When change in diabetes acceptance from baseline to follow-up was added to the model, improved diabetes distress was explained by increasing diabetes acceptance (β = 0.41, p < 0.01) and a shorter duration of diabetes (β = -0.18, p = 0.03), while baseline diabetes acceptance was no longer significantly associated (β = -0.14, p > 0.05).

CONCLUSIONS

Diabetes acceptance is inversely related to diabetes distress, and increasing acceptance explained greater improvement in diabetes distress. These findings suggest that increasing diabetes acceptance may facilitate the reduction of diabetes distress. Treatment approaches targeting acceptance might be useful for the mental healthcare of people with type 1 diabetes and clinically elevated diabetes distress.

More Frequent Use of Glucose Alarms Is Associated with Continuous Glucose Monitoring-Specific Diabetes Education: Findings from the Dia·Link Diabetes Panel

The associations of continuous glucose monitoring (CGM)-specific diabetes education with real-world utilization of glucose alerts and alarms were assessed in current CGM-users with type 1 or type 2 diabetes. A cross-sectional online survey was conducted in Germany assessing utilization (use and responses) of different alerts and alarms. Ordinal logistic regression analyses were conducted to analyze associations between utilization and participation in CGM-specific education. Data from 453 participants were analyzed (86.2% type 1 diabetes). Participants who received CGM-specific education were more likely to regularly use low-glucose alerts (odds ratio [OR] = 5.43, P < 0.001), low-glucose alarms (OR = 2.03, P = 0.027), and rate of change alerts (OR = 4.20, P = 0.009), and were more likely to immediately react to low-glucose alerts (OR = 5.23, P < 0.001) and rate of change alerts (OR = 3.75, P = 0.018). CGM-specific education has the potential to increase utilization of and response to alerts and alarms. This may help to implement more preventive elements regarding glucose management in everyday life.

Counting the Minutes: Perceived Diabetes Mental Load and its Associations With Technology Use and Mental Disorders

Little is known about mental load in people with diabetes and associations with demographic, clinical, and treatment characteristics, such as the use of diabetes technologies. To explore perceived mental load, 503 adults with diabetes answered the one-item survey "How much time (in minutes) would you spontaneously estimate that you spend each day thinking about your diabetes?" Mental load estimations varied widely within the sample and between subgroups. Perceived mental load was higher in type 1 diabetes than in type 2 diabetes, higher in women than in men and increased with treatment intensity (ie, insulin therapy, technology use) and the number of mental disorders. Further research may explore associations with diabetes-related distress and determine whether (perceived) mental load has relevance in technology use.

Use of smartphone application versus written titration charts for basal insulin titration in adults with type 2 diabetes and suboptimal glycaemic control (My Dose Coach): multicentre, open-label, parallel, randomised controlled trial

Background

The majority of people with type 2 diabetes who require insulin therapy use only basal insulin in combination with other anti-diabetic agents. We tested whether using a smartphone application to titrate insulin could improve glycaemic control in people with type 2 diabetes who use basal insulin.

Methods

This was a 12-week, multicentre, open-label, parallel, randomised controlled trial conducted in 36 diabetes practices in Germany. Eligible participants had type 2 diabetes, a BMI ≥25.0 kg/m2, were on basal insulin therapy or were initiating basal insulin therapy, and had suboptimal glycaemic control (HbA1c >7.5%; 58.5 mmol/mol). Block randomisation with 1:1 allocation was performed centrally. Participants in the intervention group titrated their basal insulin dose using a smartphone application (My Dose Coach) for 12 weeks. Control group participants titrated their basal insulin dose according to a written titration chart. The primary outcome was the baseline-adjusted change in HbA1c at 12 weeks. The intention-to-treat analysis included all randomised participants.

Results

Between 13 July 2021 and 21 March 2022, 251 study participants were randomly assigned (control group: n = 123; intervention group: n = 128), and 236 completed the follow-up phase (control group: n = 119; intervention group: n = 117). Regarding the HbA1c a model-based adjusted between-group difference of -0.31% (95% CI: 0.01%-0.69%; p = 0.0388) in favour of the intervention group was observed. There were 30 adverse events reported: 16 in the control group, 14 in the intervention group. Of these, 15 adverse events were serious. No event was considered to be related to the investigational device.

Interpretation

Study results suggest that utilizing this digital health smartphone application for basal insulin titration may have resulted in a comparatively greater reduction in HbA1c levels among individuals with type 2 diabetes, as compared to basal insulin titration guided by a written titration schedule. No negative effect on safety outcomes was observed.

Funding

Sanofi-Aventis Deutschland GmbH.

Assessing fear of complications in people with type 1 and type 2 diabetes with the Fear of Diabetes Complications Questionnaire

OBJECTIVE

Fear of diabetes complications (FDC) is a common source of emotional distress in people with diabetes across types and treatments and may affect health outcomes. To assess FDC, the Fear of Diabetes Complications Questionnaire (FDCQ) was developed. This study evaluates the FDCQ's German version in people with type 1 diabetes (T1D) and type 2 diabetes (T2D).

METHOD

A German version of the FDCQ was developed and administered as part of four different studies sampling people with T1D and T2D. Measurement properties were evaluated across studies using factor analyses, reliability estimates, and associations of the measure within a network of variables. A cutoff criterion for elevated FDC was derived. A short form scale was also developed.

RESULTS

High reliability and validity were supported. FDC as measured by the FDCQ was independently associated with higher diabetes distress and depressive symptoms. A cut-off score for elevated FDC was set at ≥30 in the 15-item FDCQ. Elevated FDCQ scores were detected in 36% of participants in secondary diabetes care and up to 46% of those in tertiary care.

CONCLUSIONS

FDC is prevalent in people with T1D and T2D and associated with diabetes distress and depressive symptoms. The FDCQ is a reliable and valid tool for assessing FDC in research and practice. It may help identify persons in need of tailored education and care and monitor effects following treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Emotional distress and cardiovascular disease risk among participants enrolled in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) study

AIMS

People with type 2 diabetes (T2DM) have an increased risk of cardiovascular disease (CVD). We examined depressive symptoms (DS) and diabetes distress (DD) in relation to the estimated 10-year risk of CVD in adults with T2DM enrolled in the GRADE Emotional Distress Substudy.

METHODS

Linear regression models examined the associations of baseline DS and DD with estimated 10-year risk of CVD using the Atherosclerotic Cardiovascular Disease (ASCVD) risk score, adjusting for age, sex, race/ethnicity, education, income, diabetes duration, diabetes-related complications, and HbA1c.

RESULTS

A total of 1,605 GRADE participants were included: 54% Non-Latino (NL) White, 18% Latino, 19% NL-Black, 66% male, mean age 57.5 (SD = 10.25) years, diabetes duration 4.2 (SD = 2.8) years, and HbA1c 7.5% (SD = 0.5%). After incorporating covariates, only DS, especially cognitive-affective symptoms, were associated with ASCVD risk (estimate = 0.15 [95% CI: 0.04, 0.025], p = 0.006). Higher DS remained significantly associated with higher ASCVD risk when adding DD to covariates (estimate = 0.19 [95% CI: 0.07, 0.30], p = 0.002). DD was not associated with ASCVD risk when accounting for covariates.

CONCLUSIONS

Depressive symptoms, particularly cognitive-affective symptoms, are associated with increased 10-year predicted ASCVD risk among adults with early T2DM. Diabetes distress is not significantly associated with the predicted ASCVD risk when accounting for covariates.

Assessing Barriers and Adherence to Insulin Injection Technique in People With Diabetes: Development and Validation of New Assessment Tools

BACKGROUND

The correct injection technique is crucial for people with insulin therapy. However, barriers to insulin injections exist, which can lead to problems with injections. In addition, injection behavior may deviate from recommendations leading to lower adherence to the correct injection technique. We developed two scales to assess barriers and adherence to the correct technique.

METHODS

Two item pools were created to assess barriers to insulin injections (barriers scale) and adherence to the correct technique (adherence scale). In an evaluation study, participants completed the two newly created scales, as well as other questionnaires used for criterion validity. Exploratory factor analysis, correlational analysis, and receiver operating characteristics analysis were computed to analyze the validity of the scales.

RESULTS

A total of 313 people with type 1 and type 2 diabetes using an insulin pen for insulin injections participated. For the barriers scale, 12 items were selected achieving a reliability of 0.74. The factor analysis revealed three factors namely emotional, cognitive, and behavioral barriers. For the adherence scale, nine items were selected achieving a reliability of 0.78. Both scales showed significant associations with diabetes self-management, diabetes distress, diabetes acceptance, and diabetes empowerment. Receiver operating characteristics analysis showed significant area under the curves for both scales in classifying people with current skin irritations.

CONCLUSIONS

Reliability and validity of the two scales assessing barriers and adherence to insulin injection technique were demonstrated. The two scales can be used in clinical practice to identify persons in need of education in insulin injection technique.

Reduced heart rate variability in people with type 1 diabetes and elevated diabetes distress: Results from the longitudinal observational DIA-LINK1 study

AIMS

People with type 1 diabetes have a higher risk for cardiovascular disease (CVD). Reduced heart rate variability (HRV) is a clinical marker for CVD. In this observational study using continuous HRV measurement across 26 days, we investigated whether psychological stressors (diabetes distress, depressive symptoms) and glycaemic parameters (hypo- and hyperglycaemic exposure, glycaemic variability and HbA_1c ) are associated with lower HRV in people with type 1 diabetes.

METHODS

Data from the non-interventional prospective DIA-LINK1 study were analysed. At baseline, depressive symptoms and diabetes distress were assessed. Glucose values and HRV were recorded daily for 26 days using continuous glucose monitoring (CGM) and a wrist-worn health tracker respectively. Multilevel modelling with participant as nesting factor was used to analyse associations between day-to-day HRV and diabetes distress, depressive symptoms and CGM-derived parameters.

RESULTS

Data from 149 participants were analysed (age: 38.3 ± 13.1 years, HbA_1c : 8.6 ± 1.9%). Participants with elevated diabetes distress had a significantly lower HRV across the 26 days compared to participants without elevated distress (β = -0.28; p = 0.004). Elevated depressive symptoms were not significantly associated with HRV (β = -0.18; p = 0.074). Higher daily exposure to hyperglycaemia (β = -0.44; p = 0.044), higher average exposure to hypoglycaemia (β = -0.18; p = 0.042) and higher HbA_1c (β = -0.20; p = 0.018) were associated with reduced HRV across the 26 days. Sensitivity analysis with HRV averaged across all days corroborated these results.

CONCLUSIONS

Diabetes distress is a clinically meaningful psychosocial stressor that could play a role in the cardiovascular health of people with type 1 diabetes. These findings highlight the need for integrated psychosocial care in diabetes management.

Emotional distress, self-management, and glycemic control among participants enrolled in the glycemia reduction approaches in diabetes: A comparative effectiveness (GRADE) study

OBJECTIVE

We examined emotional distress in relation to metformin adherence, overall diabetes self-management, and glycemic control among adults with early type 2 diabetes (T2DM) enrolled in the GRADE study.

METHODS

Linear regression models examined cross-sectional associations of baseline depression symptoms and diabetes distress with adherence to metformin, self-management, and HbA1c, adjusting for covariates. Cognitive-affective (e.g., sadness) and somatic (e.g., sleep/appetite disturbance) depression symptoms and diabetes distress subscales were also examined.

RESULTS

This substudy of 1,739 GRADE participants (56 % Non-Hispanic White, 18 % Non-Hispanic Black, 17 % Hispanic, 68 % male, mean[SD] age = 57.96[10.22] years, diabetes duration = 4.21[2.81] years, and HbA1c = 7.51[0.48]) found that the prevalence of clinically significant depression and diabetes distress was 8.7 % and 25 %, respectively. Fully adjusted models showed that depression symptoms were associated with lower self-management (p < 0.0001); this effect was only significant for somatic symptoms. Diabetes distress was associated with lower adherence (p = 0.0001) and self-management (p < 0.0001); effects were significant for all subscales, except physician-related distress. No significant relationships of total depression symptom severity or diabetes distress with HbA1c were found.

CONCLUSIONS

Depression symptoms and diabetes distress were robustly associated with problematic diabetes self-management among participants in GRADE. These findings highlight the need for routine assessment of depression symptoms and diabetes distress early in T2DM care.

Evaluation of a Digital Health Tool for Titration of Basal Insulin in People With Type 2 Diabetes: Rationale and Design of a Randomized Controlled Trial

BACKGROUND

Optimal insulin titration is essential in helping people with type 2 diabetes mellitus (T2DM) to achieve adequate glycemic control. Barriers of people with diabetes to implementation of titration include lack of self-efficiency and self-management skills, increased diabetes-related distress, low treatment satisfaction, poor well-being, as well as concerns about hypoglycemia and insulin overdose. My Dose Coach is a digital health tool for optimizing titration of basal insulin that combines a smartphone app for patients with T2DM and a Web portal for health care professionals.

METHODS/DESIGN

This is a prospective, open-label, multicenter, randomized controlled parallel study conducted in approximately 50 centers in Germany that are specialized in the treatment of diabetes. Patients in the intervention group will use the titration app and will be registered on the Web portal by their treating physician. Control group patients will continue their current basal insulin titration without using the app. The primary outcome is the mean change in HbA1c levels at the 12-week follow-up. The secondary outcome measures include patient-reported outcomes such as diabetes-related distress, self-management, empowerment, self-efficacy, treatment satisfaction, and psychological well-being as well as fasting blood glucose values.

CONCLUSION

This digital health tool has been previously implemented in several independent pilot studies. The findings from this multicenter randomized controlled trial can provide further evidence supporting the effectiveness of this tool in patients with T2DM and serve as a basis for its clinical integration.

TRIAL REGISTRATION

German Register for Clinical Studies-DRKS-ID: DRKS00024861.

Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes

Monitoring of glucose plays an essential role in the management of diabetes. However, to fully understand and meaningfully interpret glucose levels, additional information on context is necessary. Important contextual factors include data on behaviours such as eating, exercise, medication-taking and sleep, as well as data on mental health aspects such as stress, affect, diabetes distress and depressive symptoms. This narrative review provides an overview of the current state and future directions of precision monitoring in diabetes. Precision monitoring of glucose has made great progress over the last 5 years with the emergence of continuous glucose monitoring (CGM), automated analysis of new glucose variables and visualisation of CGM data via the ambulatory glucose profile. Interestingly, there has been little progress in the identification of subgroups of people with diabetes based on their glycaemic profile. The integration of behavioural and mental health data could enrich such identification of subgroups to stimulate precision medicine. There are a handful of studies that have used innovative methodology such as ecological momentary assessment to monitor behaviour and mental health in people's everyday life. These studies indicate the importance of the interplay between behaviour, mental health and glucose. However, automated integration and intelligent interpretation of these data sources are currently not available. Automated integration of behaviour, mental health and glucose could lead to the identification of certain subgroups that, for example, show a strong association between mental health and glucose in contrast to subgroups that show independence of mental health and glucose. This could inform precision diagnostics and precision therapeutics. We identified just-in-time adaptive interventions as a potential means by which precision monitoring could lead to precision therapeutics. Just-in-time adaptive interventions consist of micro-interventions that are triggered in people's everyday lives when a certain problem is identified using monitored behaviour, mental health and glucose variables. Thus, these micro-interventions are responsive to real-life circumstances and are adaptive to the specific needs of an individual with diabetes. We conclude that, with current developments in big data analysis, there is a huge potential for precision monitoring in diabetes.

Real-Time Continuous Glucose Monitoring Can Predict Severe Hypoglycemia in People with Type 1 Diabetes: Combined Analysis of the HypoDE and DIAMOND Trials

Objective: We combined data from two landmark trials (DIAMOND and HypoDE) to examine the diagnostic performance of low glucose measurements derived from open and masked continuous glucose monitoring (CGM) to predict the occurrence of future severe hypoglycemia (SH). Methods: We analyzed hypoglycemia parameters (low blood glucose index [LBGI], % <70 mg/dL, 54-69 mg/dL [level 1 hypoglycemia] and <54 mg/dL [level 2 hypoglycemia]) from masked CGM over 14 days during baseline and from open CGM over 14 days after randomization. We used receiver operating characteristics (ROC) curves to evaluate the screening performance of these measures to predict future SH. Positive likelihood ratios were calculated to indicate the overall diagnostic performance of these parameters. Results: Data from 288 individuals with type 1 diabetes (mean age 45.6 ± 12.8 years, diabetes duration 20.7 ± 13.7 years, HbA1c 8.2% ± 1.0%, Hypoglycemia Unawareness Score 3.4 ± 2.1) were analyzed. Area under ROC-curve (AUC) for LBGI and % <70 mg/dL ranged between 0.68 and 0.75, indicating that LBGI and % <70 mg/dL could significantly predict future SH. Significance of AUC regarding % <54 mg/dL were mixed (0.63-0.72). Positive and negative likelihood ratios ranged between 1.82 to 3.40 and 0.56 to 0.32, respectively. Suggested optimal cutoff values were remarkedly lower in open CGM than in masked CGM. Conclusion: These results indicate that CGM-derived hypoglycemic parameters have a good screening performance to significantly predict future clinical hypoglycemia. In addition, this analysis suggests that cutoff values to indicate elevated hypoglycemia risk in the future are substantially lower in open CGM than in masked CGM. ClinicalTrials.gov registration numbers: HypoDE: NCT02671968. DIAMOND: NCT02282397.

Expertenaustausch zum Einsatz von kontinuierlichem Glukosemonitoring (CGM) im Diabetesmanagement: Eine aktuelle Bestandsaufnahme und Blick in die Zukunft

CGM mit Darstellung der aktuellen Glukosewerte (rtCGM) ist aktuell einer der wichtigsten diagnostischen Optionen in der Diabetologie. Es ermöglicht eine umfangreiche und unmittelbare Unterstützung und Erleichterung des Diabetesmanagements, besonders wenn eine Insulintherapie angewendet wird. Weiterhin stellt rtCGM den notwendigen Systempartner für die Steuerung der automatisierten Insulinabgabe in AID-Systemen dar. In Verbindung mit Smart-Pens unterstützt ein rtCGM die korrekte Durchführung des Insulinmanagements und erinnert an Bolusinjektionen.

RtCGM-Daten sind heute das Fundament des personalisierten Datenmanagements und Alltagscoachings und stellen die Basis der Digitalisierung und telemedizinischen Intervention dar. Die Möglichkeit der interoperablen Nutzung ist aus therapeutischer Sicht eine zentrale Eigenschaft eines rtCGMs und kann zur Erweiterung der Indikationen, unabhängig von Diabetestyp oder Therapieform führen. Dies könnte auch den vorübergehenden oder intermittierenden Einsatz bei Menschen mit Typ-2-Diabetes ohne Insulinbehandlung betreffen. Kürzlich veröffentlichte internationale Leitlinien, z.B. der Amerikanischen Gesellschaft für klinische Endokrinologie (AACE) fordern auf der Basis umfangreicher Evidenz, dass die Glukosemessung mit einem rtCGM für alle Menschen mit Diabetes nutzbar und verfügbar sein sollte. Bereits in der Phase gestörter Glukosetoleranz kann ein rtCGM-System als Alltagscoaching oder Biofeedback bei Einbettung in ein Gesamtbehandlungskonzept unterstützen, mit dem Ziel aktiver und fundierter Handlungen des Anwenders im Diabetesalltag.

Die Vielfalt der Nutzungsoptionen und die immer schnelleren technischen Innovationszyklen von rtCGM-Systemen wurden mit Blick auf aktuelle Anforderungen und die notwendigen Strukturanpassungen des Gesundheitssystems von einer rtCGM-erfahrenen Expertengruppe diskutiert. Ziel war es, konkrete Lücken in der Versorgungsstruktur sowie potenzielle Handlungsfelder in der Diabetologie zu identifizierten und mögliche Indikationserweiterungen für den Einsatz von rtCGM darzustellen. Dieses, sowie die Erkenntnisse und Schlussfolgerungen der Diskussionen werden in diesem Artikel dargestellt.

Time With Diabetes Distress and Glycemia-Specific Distress: New Patient-Reported Outcome Measures for the Psychosocial Burden of Diabetes Using Ecological Momentary Assessment in an Observational Study

OBJECTIVE

To estimate time with diabetes distress using ecological momentary assessment (EMA) in people with type 1 diabetes and analyze its associations with glycemic management based on continuous glucose monitoring (CGM).

RESEARCH DESIGN AND METHODS

We used EMA to assess diabetes distress in a sample of recently hospitalized adults with type 1 diabetes once a day for 17 consecutive days in an ambulatory setting. Additionally, participants were asked daily about hypoglycemia distress (<70 mg/dL [3.9 mmol/L]), hyperglycemia distress (>180 mg/dL [10 mmol/L]), and variability distress (glucose fluctuations). Per person, the percentage of days with elevated distress was calculated (time with distress). Multilevel regression was used to analyze daily associations of distress ratings with CGM-derived parameters. EMA-derived associations between diabetes distress and glycemic outcomes were compared with questionnaire-derived associations.

RESULTS

Data of 178 participants were analyzed. Participants spent a mean (SD) of days in a state of diabetes distress, 54.6 ± 26.0% in hyperglycemia distress, 45.2 ± 27.5% in variability distress, and 23.0 ± 19.3% in hypoglycemia distress. In multilevel analyses, higher daily ratings of diabetes distress were significantly associated with hyperglycemia (β = 0.41). Results showed high between-person variability as explanation of variance of the models ranged between 22.2 and 98.8%. EMA-derived diabetes distress showed a significant association with mean glucose (r = 0.25), while questionnaire-based diabetes distress did not (r = 0.10). Prospectively, time with diabetes distress was associated with HbA1c at the 3-month follow-up (r = 0.27), while questionnaire-based distress showed no association (r = 0.11).

CONCLUSIONS

Time with distress as assessed with EMA showed a comparative advantage over distress as determined by questionnaire-based assessment of diabetes distress regarding associations with glycemic management.

Psychosocial Impact of the COVID-19 Pandemic on People With Type 1 Diabetes: Results of an Ecological Momentary Assessment Study

Aims

Psychological distress due to living with diabetes, demanding self-management tasks, impacts on life, and risks of complications is common among people living with diabetes. COVID-19 could pose a new additional risk factor for psychological distress in this group. This study aimed to analyze levels of COVID-19-related burdens and fears, variables explaining these levels, and associations with the concurrent 7-day COVID-19 incidence in people with type 1 diabetes (T1D).

Methods

A total of 113 people with T1D (58% women; age: 42.3 ± 9.9 years) participated in an ecological momentary assessment (EMA) study between December 2020 and March 2021. The participants reported daily levels of COVID-19-related burdens and fears over 10 consecutive days. Global ratings of COVID-19-related burdens and fears were assessed using questionnaires, as were current and previous levels of diabetes distress (PAID), acceptance (DAS), fear of complications (FCQ), depressive symptoms (CES-D), and diabetes self-management (DSMQ). Current levels of diabetes distress and depressive symptoms were compared with pre-pandemic ratings gained during an earlier study phase. Associations between burdens and fears, psychosocial and somatic aspects, and the concurrent 7-day incidence rate were analyzed using multilevel regression.

Results

Diabetes distress and depressive symptoms reported during the pandemic were comparable to pre-pandemic levels (PAID: p = .89; CES-D: p = .38). Daily EMA ratings reflected relatively low mean COVID-19-related burdens and fears in everyday life. However, there was substantial day-to-day variation per person indicating higher burdens on specific days. Multilevel analyses showed that daily COVID-19-related burdens and fears were significantly predicted by pre-pandemic levels of diabetes distress and diabetes acceptance but were not associated with the concurrent 7-day incidence rate nor with demographic and medical variables.

Conclusions

This study observed no increase in diabetes distress and depressive symptoms during the pandemic in people with T1D. The participants reported low to moderate levels of COVID-19-related burdens. COVID-19-related burdens and fears could be explained by pre-pandemic levels of diabetes distress and acceptance but not by demographic and clinical risk variables. The findings suggest that mental factors may constitute stronger predictors of COVID-19-related burdens and fears than objective somatic conditions and risks in middle-aged adults with T1D.

Health care effects and medical benefits of a smartphone-based diabetes self-management application: study protocol for a randomized controlled trial

Background

Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO). Here, we report the protocol of this study that aims at evaluating the efficacy of the digital self-management application with regard to patient-reported outcomes and medical benefits.

Methods/design

This multicenter, open-label, randomized, parallel-group, controlled trial will evaluate the health care effects and medical benefits of mySugr PRO. A total of 466 people with diabetes will be randomly allocated (2:1 randomization) to the interventional group (n = 311) that will use the digital self-management application during the 12-week study period or the control group (n = 155; no usage of the application). Baseline and follow-up examinations will assess diabetes distress as the primary endpoint as well as empowerment, HbA1c, blood glucose data, self-management, general well-being, and treatment satisfaction as secondary endpoints. Statistical analyses will use an intention-to-treat procedure (using multiple imputation for missing values) as well as a per-protocol approach for sensitivity analysis.

Discussion

To the best of our knowledge, this study will be one of the largest diabetes-specific evaluations of a digital health application supporting people with diabetes in their diabetes self-management that follow the requirements of the German Digital Healthcare Act.

Trial registration

German Clinical Trial Register DRKS00022923. Registered on 22 October 2020.

A Self-Report Measure of Diabetes Self-Management for Type 1 and Type 2 Diabetes: The Diabetes Self-Management Questionnaire-Revised (DSMQ-R) – Clinimetric Evidence From Five Studies

Aims

Measurement tools to evaluate self-management behavior are useful for diabetes research and clinical practice. The Diabetes Self-Management Questionnaire (DSMQ) was introduced in 2013 and has become a widely used tool. This article presents a revised and updated version, DSMQ-R, and evaluates its properties in assessing self-management practices in type 1 diabetes (T1D) and type 2 diabetes (T2D).

Methods

The DSMQ-R is a multidimensional questionnaire with 27 items regarding essential self-management practices for T1D and T2D (including diabetes-adjusted eating, glucose testing/monitoring, medication taking, physical activity and cooperation with the diabetes team). For the revised form, the original items were partially amended and the wording was updated; eleven items were newly added. The tool was applied as part of health-related surveys in five clinical studies (two cross-sectional, three prospective) including a total of 1,447 people with T1D and T2D. Using this data base, clinimetric properties were rigorously tested.

Results

The analyses showed high internal and retest reliability coefficients for the total scale and moderate to high coefficients for the subscales. Reliability coefficients for scales including the new items were consistently higher. Correlations with convergent criteria and related variables supported validity. Responsiveness was supported by significant short to medium term changes in prospective studies. Significant associations with glycemic outcomes were observed for DSMQ-R-assessed medication taking, glucose monitoring and eating behaviors.

Conclusions

The results support good clinimetric properties of the DSMQ-R. The tool can be useful for research and clinical practice and may facilitate the identification of improvable self-management practices in individuals.

Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020

BACKGROUND

New diagnostic and therapeutic technologies are increasingly changing the treatment of people with diabetes (PWD), along with increased usage of digital tools. To date, however, there is little data to which level and how diabetologists and PWD implement digitalization. Also, not much is known about the view of diabetologists on the current status and future developments in this respect.

METHOD

In an online survey, diabetologists working in clinics and practices across Germany provided responses regarding their view on digitalization and the adoption of new technologies in diabetology to 56 questions. These comments reflect the opinion of several experts about the current importance and use of specific digital/technological topics.

RESULTS

Overall, 326 diabetologists took part in the survey. They reported a positive attitude (75.8%) toward new technologies and digitalization, and they see more advantages rather than disadvantages. Younger age of the diabetologists was significantly associated with a more positive attitude (r = -0.176; P < .01), and there was no gender effect (P = .738). On average, in each practice, 5.5% of PWD are using an insulin pump for therapy, 4.8% a real-time continuous glucose monitoring system, 16.9% an intermittent scanning continuous glucose monitoring system, and 0.3% an automated insulin delivery (AID) system. With respect to digitalization, the three most important current topics are software for glucose data analysis (average rank on a scale from one to six, with one being the most important: 2.4), compatibility with other systems (2.9), and AID systems (3.8)).

CONCLUSIONS

This survey, which is going to be repeated annually, showed that the diabetologists who participated predominantly have a positive attitude toward new technologies and digital applications and were aware of the associated advantages. However, perceived disadvantages need to be addressed to enable wider adoption of new technologies and digital solutions.

Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends

Time in glucose ranges is increasingly relevant for research and clinical practice. Whereas the clinical validity of these metrics has been demonstrated with regard to long-term complications, their associations with patient-reported outcomes such as well-being, diabetes distress, and fear of hypoglycemia remain an open research question. This article reviews existing evidence on links between times in glycemic ranges and patient-reported outcomes. It also describes a novel research approach of using ecological momentary assessment to analyze on a more granular level in real time possible associations of these parameters of glycemic control and patient-reported outcomes. Such an approach could further our understanding of how glucose and patient-reported outcomes may be interconnected.

Therapy adjustments in people with type 1 diabetes with impaired hypoglycemia awareness on multiple daily injections using real-time continuous glucose monitoring: a mechanistic analysis of the HypoDE study

INTRODUCTION

Studies have shown beneficial effects of real-time continuous glucose monitoring (rtCGM) usage on clinical outcomes. The objective of this analysis was to identify which therapy adjustments were made by people with type 1 diabetes with impaired hypoglycemia awareness during rtCGM usage enabling reductions in the number of low glucose events observed in the HypoDE (Hypoglycemia in Deutschland) study.

RESEARCH DESIGN AND METHODS

In the multicenter randomized controlled trial in people with type 1 diabetes on multiple daily injections with impaired hypoglycemia awareness, participants recorded their diabetes therapy in 7-day logbooks at baseline and at 6-month follow-up. They used rtCGM or self-monitoring of blood glucose for therapy adjustments. This mechanistic analysis looked at changes in various aspects of therapy.

RESULTS

Logbooks were completed by 70 participants in the rtCGM group and 65 participants in the control group. Participants in the rtCGM group kept their total carbohydrate consumption, daily insulin doses and distribution constant during the study. However, they reported an increased intake of rescue carbohydrates (0.8±0.6 (mean±SD) vs 1.0±0.8 intake/day; baseline-adjusted between-group difference 0.3 intake (0.1-0.5), p=0.031). The glucose threshold at which rescue carbohydrate intake was initiated was elevated from 71±13 mg/dL (3.9±0.7 mmol/L) to 79±14 mg/dL (4.4±0.8 mmol/L) (adjusted between-group difference +7.6 mg/dL (2.4-12.8) (+0.4 mmol/L (0.1-0.7)); p=0.005) in the rtCGM group. Regression analysis showed that follow-up low glucose events were associated with group allocation (p<0.001), low glucose events at baseline (p=0.016) and rescue threshold (p=0.001).

CONCLUSIONS

No major adjustments in insulin therapy were made by study participants with impaired hypoglycemia awareness; however, they were more active in preventing hypoglycemia by taking rescue carbohydrates earlier and more often.

TRIAL REGISTRATION NUMBER

NCT02671968.

Risk factors and prevention strategies for diabetic ketoacidosis in people with established type 1 diabetes

Diabetic ketoacidosis (DKA) is a serious acute complication of type 1 diabetes, which is receiving more attention given the increased DKA risk associated with SGLT inhibitors. Sociodemographic and modifiable risk factors were identified with strong evidence for an increased risk of DKA, including socioeconomic disadvantage, adolescent age (13-25 years), female sex, high HbA_1c, previous DKA, and psychiatric comorbidities (eg, eating disorders and depression). Possible prevention strategies, which include the identification of people at risk based on non-modifiable sociodemographic risk factors, are proposed. As a second risk mitigation strategy, structured diabetes self-management education that addresses modifiable risk factors can be used. Evidence has found that structured education leads to reduced DKA rates. Knowledge of these risk factors and potent risk mitigation strategies are important to identify subgroups of people with an elevated DKA risk. This knowledge should also be used when adjunct therapy options with an increased DKA risk are considered. Prevention of DKA in people with type 1 diabetes is an important clinical task, which should also be addressed when SGLT inhibitors are part of therapy.

Trends in diabetes self-management education: where are we coming from and where are we going? A narrative review

AIMS

To summarize the history, development and efficacy of diabetes self-management education on glycaemic control and mental health in adults and children or adolescents with type 1 diabetes and people with type 2 diabetes. A further aim was to review the status of implementation of diabetes self-management education into routine care and outline current gaps in implementation and research.

METHODS

We searched PubMed and Google scholar for German- and English-language articles regarding diabetes self-management education, glycaemic control and mental health, and restricted this search to meta-analyses.

RESULTS

Diabetes education has evolved from a compliance- and knowledge-oriented approach to an empowerment- and self-management-oriented approach. Diabetes self-management education seems to have a greater impact on glycaemic outcomes than on mental health outcomes, but the latter are rarely assessed. Technological development and digitalization can provide chances and challenges for diabetes self-management education. Digital solutions show promising results and great potential for improving the efficacy of diabetes self-management education further and providing ongoing support. The implementation of diabetes self-management education into routine clinical care frequently remains a challenge.

CONCLUSION

Diabetes self-management education has been acknowledged as an essential part of diabetes therapy; however, current gaps regarding the efficacy of diabetes self-management education on mental health, and the need for education on the use of diabetes technology, are future avenues for research.

Comparison of the efficacy of an education program for people with diabetes and insulin pump treatment (INPUT) in a randomized controlled trial setting and the effectiveness in a routine care setting: Results of a comparative effectiveness study

OBJECTIVE

To compare the efficacy of an education program for people with diabetes and insulin pump treatment (INPUT) in a randomized controlled trial (RCT) to the effectiveness in an implementation trial (IT).

METHODS

135 people with diabetes on insulin pump treatment (CSII) underwent structured education with INPUT under RCT-conditions, 191 people with diabetes on CSII underwent structured education with INPUT under IT-conditions. Baseline characteristics and treatment outcomes at the 6-month follow-up were compared.

RESULTS

At baseline, RCT-participants were younger (42.7 ± 14.2 vs. 47.2 ± 14.1 years, p = 0.005), had higher HbA1c-values (8.3 ± 0.8% vs. 7.8 ± 1.2%, p = 0.001) and had more diabetes-related distress (27.8 ± 16.4 vs 22.4 ± 14.4, p = 0.002). At follow-up, INPUT results were comparable under the RCT and IT settings. After adjustment for baseline HbA1c, reduction of HbA1c in the IT was significantly greater than in the RCT (Δ0.17%; 95% CI 0.023-0.319%, p = 0.024). Participants with higher HbA1c-levels, more diabetes-related distress and more hypoglycemia problems were most likely to benefit from INPUT regardless of the trial setting.

CONCLUSIONS

Efficacy of the INPUT program for people with CSII was demonstrated under RCT- and routine care conditions.

PRACTICE IMPLICATIONS

Education with the INPUT program is effective not only under standardized RCT conditions but also under conditions of routine care.

Perceived Benefits and Barriers Regarding CSII Treatment: Development and Psychometric Evaluation of the Insulin Pump Attitudes Questionnaire (IPA-Questionnaire)

BACKGROUND

Continuous subcutaneous insulin infusion is the most advanced and demanding form of insulin therapy. Various positive and negative expectations, attitudes and experiences can occur, influencing adherence to and efficacy of continuous subcutaneous insulin infusion therapy. A new questionnaire was developed to systematically assess perceived benefits, perceived barriers and handling of continuous subcutaneous insulin infusion therapy.

METHODS

The Insulin Pump Attitude Questionnaire was tested in two samples (n=265/452) comprising pump users and non-pump users. Reliability was assessed using Cronbach's Alpha estimation. Exploratory and confirmatory factor analyses were conducted to establish the factorial structure. Correlations with other questionnaires as well as group differences between pump users and non-pump users were used to assess validity.

RESULTS

Exploratory factor analysis revealed 26 items comprising six subscales: "Glycaemic Control", "Flexibility", "Impaired Body Image", "Technology Dependency", "Ease Of Use" and "Functionality". Confirmatory factor analysis confirmed this factor structure. The IPA sum score correlated significantly with diabetes distress (r=-0.30), self-efficacy (r=0.22), diabetes empowerment (r=0.36), psychological well-being (r=0.16) and treatment dissatisfaction (r=-0.24), supporting criterion validity with small to medium effect sizes. Furthermore, the IPA was able to differentiate between pump users and non-pump users with higher scores for pump users regarding "Glycaemic Control", "Flexibility", "Ease of use" and "Functionality" and lower scores for pump users regarding "Impaired Body Image" and "Technology Dependency".

CONCLUSIONS

The Insulin Pump Attitude Questionnaire is a reliable and valid new instrument to assess attitudes towards continuous subcutaneous insulin infusion. With six scales, the Insulin Pump Attitude Questionnaire provides a comprehensive analysis of possible benefits, barriers, and handling problems of continuous subcutaneous insulin infusion therapy. In clinical practice, the Insulin Pump Attitude Questionnaire might be used to address the different attitudes in pump users but also in people considering continuous subcutaneous insulin infusion therapy.

Impact of CGM on the Management of Hypoglycemia Problems: Overview and Secondary Analysis of the HypoDE Study

Hypoglycemia remains the limiting factor of near-normal glucose control in people with diabetes using insulin therapy. Continuous glucose monitoring (CGM) may be able to avoid hypoglycemia and support the management of hypoglycemia problems in clinical care. Real-time continuous glucose monitoring (rtCGM) systems provide alerts if certain predetermined hypo- or hyperglycemic thresholds are exceeded. The combination of rtCGM systems with insulin pumps allows insulin delivery to be suspended if glucose falls below certain predefined thresholds. This might also support avoidance of hypoglycemia. More sophisticated closed-loop systems allow a semiautomatic insulin dosage, which also have the potential for the prevention of hypoglycemia. In this overview, we discuss and illustrate (1) the efficacy of CGM for intervention in people with hypoglycemia problems and for the avoidance of biochemical as well as clinical hypoglycemia; (2) the potential of CGM technology for the identification of people with diabetes who are at risk for hypoglycemia problems; and (3) the implications of the current state of the art for future research regarding CGM and hypoglycemia. As an example, how rtCGM data can facilitate identification of people with diabetes and an elevated risk of hypoglycemia, a secondary analysis of the HypoDE data is presented. We conclude that CGM technology can assist in the reliable identification of people with diabetes who are at risk for hypoglycemia problems, is a powerful intervention for the avoidance of mild as well as severe hypoglycemia, and can also stimulate research on the course of hypoglycemia problems.

The impact of a structured education and treatment programme (FLASH) for people with diabetes using a flash sensor-based glucose monitoring system: Results of a randomized controlled trial

AIMS

Flash sensor-based glucose monitoring (FSGM) provides people with diabetes considerably more information on their glycaemic control. We have developed and evaluated a structured education and treatment programme, termed FLASH, to assist FSGM users to understand and use the available glycaemic information for optimization of their diabetes treatment.

METHODS

We report on a multi-centre, randomized, parallel trial with a six-month follow-up involving 216 eligible participants (16-75 years old) on intensive insulin therapy. The primary outcome was HbA1c change from baseline to six months. Secondary outcomes were measures of glucose control as assessed by FSGM, as well as changes in behavioural and psychosocial measures.

RESULTS

At six months, the between-group difference in HbA1c reduction was significant, favouring FLASH education compared to the control group receiving no FLASH education (-0.28%, 95% CI -0.16% to -0.40% vs.-0.11%, 95% CI 0.00% to -0.22%; with a between-group difference of -0.17%, 95% CI -0.01% to -0.33%; p = 0.033). Participation in FLASH education also resulted in significant improvements in time spent in the target glucose range, in diabetes-related distress scores and in satisfaction with the glucose monitoring method. FLASH education also resulted in significant improvements in the use of glycaemic information provided by FSGM and in reduced self-monitoring of blood glucose (SMBG) fingerstick testing.

CONCLUSION

FLASH is an effective programme to improve glycaemic control and lower diabetes-related distress in users of FSGM. The study was registered in ClinicalTrials: NCT03175315.

The Effects and Effect Sizes of Real-Time Continuous Glucose Monitoring on Patient-Reported Outcomes: A Secondary Analysis of the HypoDE Study

BACKGROUND

While real-time continuous glucose monitoring (rtCGM) has proven its efficacy for glycemic control and avoidance of hypoglycemia, evidence on its effects on patient-reported outcomes is still inconclusive. This secondary analysis of the HypoDE study analyzed effect sizes of rtCGM on patient-reported outcomes and compared them with the effect sizes for glycemic outcomes.

MATERIALS AND METHODS

The intervention group using rtCGM (n = 75) and the control group using self-monitored blood glucose measurements (n = 66) in the HypoDE study were compared. Effect sizes for the patient-reported outcome measures were calculated as the standardized between-group difference in baseline-adjusted follow-up scores (Cohen's d).

RESULTS

rtCGM had significant effects with medium effect sizes on satisfaction with the glucose monitoring device (d = 0.50; 95% confidence interval [CI] 0.84-0.17), fear of hypoglycemia (d = 0.32; 95% CI 0.66 to -0.01), and hypoglycemia-related distress (d = 0.41; 95% CI 0.74-0.08). However, nonsignificant effects and rather small effect sizes were found for general diabetes distress (d = 0.21; 95% CI 0.54 to -0.12), hypoglycemia unawareness (d = 0.03; 95% CI 0.37 to -0.30), and self-reported health status (d = 0.27; 95% CI 0.60 to -0.08), while the effect sizes for the hypoglycemia-related glycemic endpoints were large (d > 1.0). Based on these effect sizes for patient-reported outcomes, a much larger sample size would result in detecting significant differences in patient-reported outcomes.

CONCLUSIONS

Effect sizes of rtCGM on patient-reported outcomes are substantially smaller than those on glycemic outcomes. Studies on the efficacy of rtCGM previously had a glycemic endpoint with sample size calculations based on the larger effect sizes for glycemic outcomes. Thus, previous studies were neither powered to detect effects on patient-reported outcomes nor was the participant recruitment tailored to specific patient-reported outcomes. To demonstrate whether rtCGM affects patient-reported outcomes, future studies should consider this comparison of effect sizes.

Efficacy of an Education Program for People With Diabetes and Insulin Pump Treatment (INPUT): Results From a Randomized Controlled Trial

OBJECTIVE

Continuous subcutaneous insulin infusion (CSII) is the most advanced form of insulin delivery, but it requires structured education to provide users with the necessary knowledge/skills and to support their motivation. Currently, no structured education program designed to provide this training has been evaluated. We developed a CSII-specific, structured education program (Insulin Pump Treatment [INPUT]) and evaluated its impact on glycemic control, behavior, and psychosocial status.

RESEARCH DESIGN AND METHODS

This was a multicenter, randomized, parallel trial with a 6-month follow-up. Eligible participants (age 16-75 years) currently were treated with insulin pump therapy. Participants were randomly assigned (1:1) to the INPUT program or to usual care using a computer-generated algorithm, with study center as the stratification factor. The primary outcome was HbA_1c change from baseline to 6 months. Secondary outcomes were incidence of severe hypoglycemia and changes in behavioral and psychosocial measures.

RESULTS

Between 1 April 2016 and 26 April 2016, 268 people with diabetes and a mean duration of CSII therapy of 9.5 years were randomly assigned to the INPUT group (n = 135) or control group (n = 133). At 6 months, HbA_1c improved in the INPUT group (8.33 ± 0.8 vs. 8.04 ± 0.9; P < 0.0001) but not in the control group (8.33 ± 1.0 vs. 8.27 ± 1.0; P = 0.11). The between-group difference in HbA_1c reduction was significant, favoring INPUT (-0.28% vs. -0.06%, Δ -0.22%, 95% CI -0.38 to -0.06; P = 0.0029). The incidence rate ratio of severe hypoglycemia was 3.55 times higher for participants in the control group than for those in the INPUT group (95% CI 1.50-8.43; P = 0.0041).

CONCLUSIONS

The INPUT education program led to a significant improvement in glycemic control and incidence of severe hypoglycemia in insulin pump users.

Adherence Over Time: The Course of Adherence to Customized Diabetic Insoles as Objectively Assessed by a Temperature Sensor

BACKGROUND

Temperature sensors are an objective way to assess adherence to diabetic footwear. Good adherence is essential for the prevention of diabetic foot problems. Little is known about the long-term course of adherence in patients at risk for diabetic foot problems.

METHOD

A temperature sensor was incorporated into the specialized footwear of patients with type 2 diabetes after their first plantar ulceration. Kaplan-Meier curve was used to analyze when patients started to become nonadherent (not wearing the footwear for two straight weeks). Gender effects on adherence were also analyzed.

RESULTS

26 patients with a mean observation time of 133.5 days could be analyzed. Mean wearing time of diabetic footwear was 4.2 ± 3.6 h/day (Mdn = 3.4 h/day; interquartile range = 0.5-7.0 h/day) and on 51% of the days patients did not wear their footwear at all. Kaplan-Meier curve revealed that the mean time of adherence was 27.5 weeks. Men achieved a mean time of adherence of 30.5 weeks, while women only achieved 14 weeks. However, due to the small sample size, this difference was not statistically significant.

CONCLUSIONS

Temperature sensors revealed a low long-term adherence to diabetic footwear. Women seemed to be at a higher risk for earlier nonadherent behavior. Adherence to diabetic footwear should be closely monitored and tailored intervention strategies should be developed.

Real-time continuous glucose monitoring in adults with type 1 diabetes and impaired hypoglycaemia awareness or severe hypoglycaemia treated with multiple daily insulin injections (HypoDE): a multicentre, randomised controlled trial

BACKGROUND

The effectiveness of real-time continuous glucose monitoring (rtCGM) in avoidance of hypoglycaemia among high-risk individuals with type 1 diabetes treated with multiple daily insulin injections (MDI) is unknown. We aimed to ascertain whether the incidence and severity of hypoglycaemia can be reduced through use of rtCGM in these individuals.

METHODS

The HypoDE study was a 6-month, multicentre, open-label, parallel, randomised controlled trial done at 12 diabetes practices in Germany. Eligible participants had type 1 diabetes and a history of impaired hypoglycaemia awareness or severe hypoglycaemia during the previous year. All participants wore a masked rtCGM system for 28 days and were then randomly assigned to 26 weeks of unmasked rtCGM (Dexcom G5 Mobile system) or to the control group (continuing with self-monitoring of blood glucose). Block randomisation with 1:1 allocation was done centrally, with the study site as the stratifying variable. Masking of participants and study sites was not possible. Control participants wore a masked rtCGM system during the follow-up phase (weeks 22-26). The primary outcome was the baseline-adjusted number of hypoglycaemic events (defined as glucose ≤3·0 mmol/L for ≥20 min) during the follow-up phase. The full dataset analysis comprised participants who wore the rtCGM system during the baseline and follow-up phases. The intention-to-treat analysis comprised all randomised participants. This trial is registered with ClinicalTrials.gov, number NCT02671968.

FINDINGS

Between March 4, 2016, and Jan 12, 2017, 149 participants were randomly assigned (n=74 to the control group; n=75 to the rtCGM group) and 141 completed the follow-up phase (n=66 in the control group, n=75 in the rtCGM group). The mean number of hypoglycaemic events per 28 days among participants in the rtCGM group was reduced from 10·8 (SD 10·0) to 3·5 (4·7); reductions among control participants were negligible (from 14·4 [12·4] to 13·7 [11·6]). Incidence of hypoglycaemic events decreased by 72% for participants in the rtCGM group (incidence rate ratio 0·28 [95% CI 0·20-0·39], p<0·0001). 18 serious adverse events were reported: seven in the control group, ten in the rtCGM group, and one before randomisation. No event was considered to be related to the investigational device.

INTERPRETATION

Usage of rtCGM reduced the number of hypoglycaemic events in individuals with type 1 diabetes treated by MDI and with impaired hypoglycaemia awareness or severe hypoglycaemia.

FUNDING

Dexcom Inc.

Measurement of psychological adjustment to diabetes with the diabetes acceptance scale

AIMS

To develop a psychometric measure of diabetes acceptance.

METHODS

An item pool was developed and pilot-tested using a sample of 220 people with diabetes; item selection resulted in the 20-item 'Diabetes Acceptance Scale (DAS)'. 606 people with diabetes were then cross-sectionally assessed with the DAS to evaluate its reliability, validity and clinical utility; concurrent measurements included diabetes-related coping (FQCI), diabetes distress (PAID-5), depressive symptoms (PHQ-9), quality of life (EQ-5D), self-management (DSMQ), glycaemic control (HbA_1c) and complications.

RESULTS

Internal reliability was high (Cronbach's α = 0.96). Factorial and criterion-related results supported validity. Higher diabetes acceptance scores correlated with more functional coping styles, lower distress and depression levels, higher treatment adherence, better glycaemic control and better quality of life (all P < .001). Persons with low diabetes acceptance (22% of the sample) were four times more likely to have HbA_1c values over 9.0% (75 mmol/mol), two times more likely to be diagnosed with long-term complications and each over two times more likely to have had episodes of severe hypoglycaemia and ketoacidosis in the past year; the prevalence of major depression in this group was fivefold increased (all P < .05).

CONCLUSIONS

The DAS is a reliable and valid tool to measure diabetes acceptance. It may help identify patients with significant problems of accepting diabetes, a putative high-risk group in need of tailored care and support.

Makes FLASH the difference between the intervention group and the treatment-as-usual group in an evaluation study of a structured education and treatment programme for flash glucose monitoring devices in people with diabetes on intensive insulin therapy: study protocol for a randomised controlled trial

Background

People with diabetes on intensive insulin therapy need sufficient glycaemic control to prevent the onset or progression of diabetic complications. The burden of multiple daily blood glucose self-testing can be lessened by novel diabetes technology like flash glucose monitoring systems which provide more information compared to self-monitoring of blood glucose. Despite this delivered additional information studies are showing no significant effect on HbA_1c reduction, but a reduced time spent in a hypoglycaemic glucose range. We assume that users of these devices need additional education and training to integrate the delivered information into treatment decisions. Therefore, FLASH, an education and treatment programme, was developed. The programme evaluation follows herein.

Methods/design

Patients are recruited through 40 diabetes outpatient study centres located across Germany. They will be randomly assigned to participate in the education and treatment programme (intervention group) or to obtain treatment as usual (control group). All patients have to give blood samples and to answer a bench of questionnaires during baseline assessment, at the end of the intervention, and 6 months after the end of the intervention. Physicians will be asked to declare some additional clinical data (such as details of the diabetes therapy) for every patient at every one of the three assessment points.

Discussion

This study is conducted as a randomised controlled trial to test the hypothesis that the newly developed education and treatment programme combined with the use of a flash glucose monitoring device (intervention group) is superior to reduce HbA_1c compared to the use of flash glucose monitoring alone (control group). The first results will be expected in 2018.

Trial registration

ClinicalTrials.gov, ID: NCT03175315. Registered on 2 May 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-2479-9) contains supplementary material, which is available to authorized users.

Reduction of depressive symptoms predicts improved glycaemic control: Secondary results from the DIAMOS study

AIMS

Evidence from randomised trials analysing effects of depression treatment on glycaemic control in group comparisons is inconsistent. The aim of this study was to test if the reduction of depressive symptoms would explain improved glycaemic control irrespective of treatment groups.

METHODS

The DIAMOS study tested effects of cognitive-behavioural therapy (CBT) versus usual care on depressive symptoms in a 12-month prospective trial; HbA_1c was a secondary outcome. Since the results suggested superiority of CBT for improving depressive symptoms, but not HbA_1c, we conducted this secondary analysis to test if reduction of depressive symptoms could explain improved glycaemic control when assessed irrespective of treatment group affiliation. Reduction of depressive symptoms was assessed using baseline-to-follow-up changes in the Center for Epidemiologic Studies Depression Scale (CES-D). We used multiple regression analyses, adjusting for baseline HbA_1c and depression, group affiliation and covariates, to assess associations between reduction of depressive symptoms and follow-up HbA_1c.

RESULTS

181 participants provided eligible data. Depressive symptoms decreased between baseline and follow-up by averagely -5.1±11.8 CES-D points. Greater reduction of depressive symptoms predicted greater improvement of HbA_1c at follow-up, while adjusting for baseline HbA_1c and covariates (Beta=-0.24, P=0.004). Additionally, patients with greater reduction of depressive symptoms were more likely to reach in-target HbA_1c (<7.5%) at follow-up (adjusted OR=1.04, 95% CI 1.01-1.08, P=0.023).

CONCLUSIONS

The findings suggest that reduction of depressive symptoms can explain improved glycaemic control. Behavioural treatments might aim to improve both affective and glycaemic outcomes.

The effect of an education programme (MEDIAS 2 BSC) of non-intensive insulin treatment regimens for people with Type 2 diabetes: a randomized, multi-centre trial

AIMS

A self-management oriented education programme (MEDIAS 2 BSC) for people with Type 2 diabetes who are on a non-intensive insulin treatment regimen was developed. In a randomized, multi-centre trial, the effect of MEDIAS 2 BSC was compared with an established education programme that acted as a control group.

METHODS

The primary outcome was the impact of MEDIAS 2 BSC on glycaemic control. Secondary outcomes included the incidence of severe hypoglycaemia, hypoglycaemia unawareness, diabetes-related distress, diabetes knowledge, quality of life and self-care behaviour.

RESULTS

In total, 182 participants were randomized to the control group or MEDIAS 2 BSC [median age 64.0 (interquartile range 58.0-68.5) vs. 63.5 (57.0-70.0) years; HbA_1c 62.8 ± 12.7 mmol/mol vs. 63.7 ± 14.0 mmol/mol; 7.9% ± 1.2% vs. 8.0% ± 1.3%]. After a 6-month follow-up, there was a mean decrease in HbA_1c of 3.5 mmol/mol (0.32%) in the control group and 6.7 mmol/mol (0.61%) in MEDIAS 2 BSC. After adjusting for baseline differences and study centre, the mean difference between the groups was -3.3 mmol/mol [95% confidence interval (CI) -0.54 to -5.90 mmol/mol] [-0.30% (95% CI -0.05 to -0.54)] in favour of MEDIAS 2 BSC (P = 0.018). There were no increases in severe hypoglycaemia or hypoglycaemia unawareness. The education programmes had no significant effects on psychosocial outcome variables.

CONCLUSION

MEDIAS 2 BSC was more effective in lowering HbA_1c than the control condition. MEDIAS 2 BSC is a safe educational tool that improves glycaemic control without increasing the risk for hypoglycaemia. (Clinical Trials Registry No; NCT 02748239).