Youth and non-European ethnicity are associated with increased loss of publicly funded insulin pump access in New Zealand people with type 1 diabetes

Predictors of glycaemic improvement in children and young adults with type 1 diabetes and very elevated HbA1c using the MiniMed 780G system

AIMS

This study aimed to identify key factors with the greatest influence on glycaemic outcomes in young individuals with type 1 diabetes (T1D) and very elevated glycaemia after 3 months of automated insulin delivery (AID).

MATERIALS AND METHODS

Data were combined and analysed from two separate and previously published studies with similar inclusion criteria assessing AID (MiniMed 780G) efficacy among young individuals naïve to AID (aged 7-25 years) with glycated haemoglobin A1c (HbA1c) ≥69 mmol/mol (≥8.5%). Univariate and multivariate linear models were performed to explore factors leading to the greatest improvements in HbA1c and time in range 3.9-10.0 mmol/L (70-180 mg/dL; TIR).

RESULTS

A total of 99 young individuals (aged 17.3 ± 4.2 years; baseline HbA1c 92 ± 21 mmol/mol [10.6% ± 1.9%]) were included. After 3 months of AID use, HbA1c improved to 65 ± 16 mmol/mol (8.1% ± 1.5%) (-27 ± 23 mmol/mol; -2.5% ± 2.1% change), and TIR improved from 24.2% ± 13.5% to 58.4% ± 15.4% (p both <0.001). In the multivariate analysis, two key factors for both HbA1c and TIR improvement were identified: high baseline HbA1c (>100 mmol/mol [>11.0%]) and high time in automation mode (>80%), which led to decreased HbA1c by 27.0 mmol/mol (2.4%) and 14.2 mmol/mol (1.3%) and increased TIR by 6.1% and 11.1% (p all <0.05) respectively. Meal announcement frequency >3 times/day and glucose target of 5.5 mmol/L (100 mg/dL) also led to significant increases in TIR. No other factors, including age, prior use of multiple daily injection, ethnicity, gender and optimal active insulin time 2 h, contributed to statistically significant HbA1c or TIR improvement.

CONCLUSIONS

In young individuals naive to AID, those with the highest baseline HbA1c and high percentage time in automation experience the greatest benefits after initiation of AID. Sociodemographic background and carbohydrate counting adherence/knowledge should not prevent or delay access to AID technology (ACTRN12621000556842 and ACTRN12622001454763).

Experiences of adolescents and young adults with type 1 diabetes and chronically elevated glucose levels following the transition from multiple daily injections to advanced hybrid closed-loop: A qualitative study

AIM

To understand experiences of using second-generation advanced hybrid closed-loop (AHCL) therapy in adolescents and young adults with chronically elevated glucose levels who were previously using multiple daily injections (MDI) therapy.

METHOD

Semi-structured interviews with participants aged 13-25 years, on AHCL therapy for 3 months as part of a single-arm prospective study. Key inclusions: HbA1c ≥69 mmol/mol (8.5%); diabetes duration ≥1 year; and using MDI therapy prior to the study. Qualitative content analysis was used to identify themes and subthemes.

RESULTS

Interviews were conducted among 14 participants with mean age 19.4 ± 4.3 years and mean baseline HbA1c 90 ± 25 mmol/mol (10.4 ± 4.5%). Three themes were identified: (1) substantially improved glucose levels improved perceptions of overall health; (2) features of AHCL aid in adoption and ongoing self-management; and (3) burden of care was reduced through automation of insulin delivery. Overall, there were positive impacts on physical, mental and social well-being. Participants were willing to overlook minor frustrations with AHCL because of the vast benefits that they had experienced. Four participants reported transient pseudo-hypoglycaemia: symptoms of hypoglycaemia when objectively measured glucose was in the clinically recommended range (3.9-10 mmol/L, 70-180 mg/dL).

CONCLUSION

Transition to AHCL therapy positively impacted diabetes management in adolescents and youth with chronically elevated glucose levels. It appears to create a window of opportunity in which youth may re-engage with diabetes management. Pseudo-hypoglycaemia can occur during the transition to AHCL. This could be a barrier to AHCL uptake and is likely to require individualised support.

Real-world efficacy and safety of open-source automated insulin delivery for people with type 1 diabetes mellitus: Experience from mainland China

BACKGROUND

Open-source automated insulin delivery systems are increasingly adopted yet predominantly discussed outside of Asia. This study aimed to describe efficacy and safety of android artificial pancreas (AAPS) in people with type 1 diabetes mellitus (T1DM) from mainland China.

METHODS

This real-world study recruited people who initiated AAPS for ≥ 3 months between 2019 and 2024. Key outcomes included glycated hemoglobin A1c (HbA1c) and metrics from continuous glucose monitoring, rates of diabetic ketoacidosis (DKA) and severe hypoglycemia.

FINDINGS

292 (male, 46·9 %) participants aged 25·7 (14·7, 35·0) years were included, with 183 (62·7 %) and 68 (23·3 %) using AAPS for 6 and 12 months. Prior-AAPS HbA1c was 7·6 ± 1·7 % with 44·5 % achieving < 7·0 %. After 3 months, mean HbA1c improved by -1·5 ± 2·0 % to 6·3 ± 0·8 % (P < 0.01), with 82·9 % achieving < 7.0 %. Time in range 3·9-10·0 mmol/L (TIR) improved to 78·8 ± 12·9 %, with 80·5 % achieving > 70 %, followed by time below 3·9 mmol/L of 3·9 (2·1, 6·1) %. After 12 months, HbA1c and TIR remained similar at 6·4 ± 1·0 % and 77·9 ± 12·2 %. No DKA and severe hypoglycemia was observed.

INTERPRETATION

Real-world data from mainland China highlights current uptake of open-source AAPS with potential glycemic benefits. No safety signals are seen. More support to enhance access and utilization of all AID systems in this region is warranted.

Automated Insulin Delivery for Young People with Type 1 Diabetes and Elevated A1c

BACKGROUND

Automated insulin delivery is the treatment of choice in adults with type 1 diabetes. Data are needed on the efficacy and safety of automated insulin delivery for children and youth with diabetes and elevated glycated hemoglobin levels.

METHODS

In this multicenter, open-label randomized controlled trial, we assigned patients with type 1 diabetes in a 1:1 ratio either to use an automated insulin delivery system (MiniMed 780G) or to receive usual diabetes care of multiple daily injections or non--automated pump therapy (control). The patients were children and youth (defined as 7 to 25 years of age) with elevated glycemia (glycated hemoglobin ≥8.5% with no upper limit). The primary outcome was the baseline-adjusted between-group difference in glycated hemoglobin at 13 weeks.

RESULTS

A total of 80 patients underwent randomization (37 to automated insulin delivery and 43 to control) and all patients completed the trial. At 13 weeks, the mean (±SD) glycated hemoglobin decreased from 10.5±1.9% to 8.1±1.8% in the automated insulin delivery group but remained relatively consistent in the control group, changing from 10.4±1.6% to 10.6±1.8% (baseline-adjusted between-group difference, -2.5 percentage points; 95% confidence interval [CI], -3.1 to -1.8; P<0.001). Patients in the automated insulin delivery group spent on average 8.4 hours more in the target glucose range of 70 to 180 mg/dl than those in the control group. One severe hypoglycemia event and two diabetic ketoacidosis events occurred in the control group, with no such events in the automated insulin delivery group.

CONCLUSIONS

In this trial of 80 children and youth with elevated glycated hemoglobin, automated insulin delivery significantly reduced glycated hemoglobin compared with usual diabetes care, without resulting in severe hypoglycemia or diabetic ketoacidosis events. (Funded by Lions Clubs New Zealand District 202F and others; Australian New Zealand Clinical Trials Registry number, ACTRN12622001454763.).

Protocol for a prospective, multicenter, parallel-group, open-label randomized controlled trial comparing standard care with Closed lOoP In chiLdren and yOuth with Type 1 diabetes and high-risk glycemic control: the CO-PILOT trial

Purpose

Advanced hybrid closed loop (AHCL) systems have the potential to improve glycemia and reduce burden for people with type 1 diabetes (T1D). Children and youth, who are at particular risk for out-of-target glycemia, may have the most to gain from AHCL. However, no randomized controlled trial (RCT) specifically targeting this age group with very high HbA1c has previously been attempted. Therefore, the CO-PILOT trial (Closed lOoP In chiLdren and yOuth with Type 1 diabetes and high-risk glycemic control) aims to evaluate the efficacy and safety of AHCL in this group.

Methods

A prospective, multicenter, parallel-group, open-label RCT, comparing MiniMed™ 780G AHCL to standard care (multiple daily injections or continuous subcutaneous insulin infusion). Eighty participants aged 7-25 years with T1D, a current HbA1c ≥ 8.5% (69 mmol/mol), and naïve to automated insulin delivery will be randomly allocated to AHCL or control (standard care) for 13 weeks. The primary outcome is change in HbA1c between baseline and 13 weeks. Secondary outcomes include standard continuous glucose monitor glycemic metrics, psychosocial factors, sleep, platform performance, safety, and user experience. This RCT will be followed by a continuation phase where the control arm crosses over to AHCL and all participants use AHCL for a further 39 weeks to assess longer term outcomes.

Conclusion

This study will evaluate the efficacy and safety of AHCL in this population and has the potential to demonstrate that AHCL is the gold standard for children and youth with T1D experiencing out-of-target glucose control and considerable diabetes burden.

Trial registration

This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 14 November 2022 (ACTRN12622001454763) and the World Health Organization International Clinical Trials Registry Platform (Universal Trial Number U1111-1284-8452).

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01397-4.

Subsequent Device Usage and Caregiver Attitudes to Do-It-Yourself Real-Time Continuous Glucose Monitoring (DIY-rtCGM) among Children with Type 1 Diabetes 3 Months after Participation in a Randomized Controlled Trial

Aim

To assess children's subsequent device usage and caregiver attitudes to do-it-yourself real-time continuous glucose monitoring (DIY-rtCGM) at least 3 months after completing a randomized controlled trial (RCT).

Methods

A brief online questionnaire or telephone call was used to collect the subsequent device usage and caregivers' attitudes from a total of 55 families at least 3 months after their completion of an RCT investigating DIY-rtCGM adapted from their preexisting intermittently scanned glucose sensors plus education on using DIY-rtCGM system. To be eligible for the RCT, children had to be aged 2-13 years, have type 1 diabetes ≥6 months, and be rtCGM naïve. Data collected investigated current CGM use post-RCT and attitudes/user experiences to DIY-rtCGM in the months since RCT study support ended.

Results

Overall, responses from 81.8% (45/55) of caregivers were received. Mean age of children was 9.0 ± 2.7 years, and 31 (68.9%) children used insulin pumps. After 3 months, 44.4% (20/45) of responding caregivers reported ongoing DIY-rtCGM use, and of these, only 13 used DIY-rtCGM as the primary glucose monitoring method 100% of time. Of the 25 (55.6%) families who ceased DIY-rtCGM, 40% (10/25) had transitioned to commercial rtCGM. More than half of families (60%, 12/20) who continued DIY-rtCGM use had a very or extremely positive attitude toward the technology and 75% (15/20) of these families planned to continue DIY-rtCGM use. However, signal loss and sensor inaccuracy remained the major reasons among all responders both for decreased DIY-rtCGM wear time and eventual cessation. Burden of use primarily related to technical errors that could not be solved, and alarms, both of which were reported to contribute to discontinuation.

Conclusions

This study highlights that, among families voluntarily using DIY-rtCGM at least 3 months following support from a trial, more than half have ceased using DIY-rtCGM, with 40% of those discontinuing switching to commercial rtCGM. While overall perceptions of DIY-rtCGM remain largely positive, burdens of use are high and contribute to discontinuation.

Interviews with Indigenous Māori with type 1 diabetes using open-source automated insulin delivery in the CREATE randomised trial

Purpose

Open-source automated insulin delivery (AID) is used by thousands of people with type 1 diabetes (T1D), but has unknown generalisability to marginalised ethnic groups. This study explored experiences of Indigenous Māori participants in the CREATE trial with use of an open-source AID system to identify enablers/barriers to health equity.

Methods

The CREATE randomised trial compared open-source AID (OpenAPS algorithm on an Android phone with a Bluetooth-connected pump) to sensor-augmented pump therapy. Kaupapa Māori Research methodology was used in this sub-study. Ten semi-structured interviews with Māori participants (5 children, 5 adults) and whānau (extended family) were completed. Interviews were recorded and transcribed, and data were analysed thematically. NVivo was used for descriptive and pattern coding.

Results

Enablers/barriers to equity aligned with four themes: access (to diabetes technologies), training/support, operation (of open-source AID), and outcomes. Participants described a sense of empowerment, and improved quality of life, wellbeing, and glycaemia. Parents felt reassured by the system’s ability to control glucose, and children were granted greater independence. Participants were able to use the open-source AID system with ease to suit whānau needs, and technical problems were manageable with healthcare professional support. All participants identified structures in the health system precluding equitable utilisation of diabetes technologies for Māori.

Conclusion

Māori experienced open-source AID positively, and aspired to use this therapy; however, structural and socio-economic barriers to equity were identified. This research proposes strength-based solutions which should be considered in the redesign of diabetes services to improve health outcomes for Māori with T1D.

Trial Registration: The CREATE trial, encompassing this qualitative sub-study, was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620000034932p) on the 20^th January 2020.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01215-3.

Inequity in access to continuous glucose monitoring and health outcomes in paediatric diabetes, a case for national continuous glucose monitoring funding: A cross-sectional population study of children with type 1 diabetes in New Zealand

Background

Continuous glucose monitoring (CGM) improves glycaemia for people affected by type 1 diabetes (T1D), but is not funded in Aotearoa/New Zealand. This study explores the impact of non-funded CGM on equity of access and associated glycaemic outcomes.

Methods

Cross-sectional population-based study collected socio-demographic (age, gender, prioritised ethnicity, socioeconomic status) and clinical data from all regional diabetes centres in New Zealand with children <15 years with T1D as of 1st October 2021. De-identified data were obtained from existing databases or chart review. Outcomes compared socio-demographic characteristics between those using all forms of CGM and self-monitoring of blood glucose (SMBG), and association with HbA1c.

Findings

1209 eligible children were evaluated: 70.2% European, 18.1% Māori, 7.1% Pacific, 4.6% Asian, with even distribution across socioeconomic quintiles. Median HbA1c was 64 mmol/mol (8.0%), 40.2% utilised intermittently scanned (is)CGM, and 27.2% real-time (rt)CGM. CGM utilisation was lowest with Pacific ethnicity (38% lower than Māori) and the most deprived socioeconomic quintiles (quintile 5 vs. 1 adjusted RR 0.69; 95% CI, 0.57 to 0.84). CGM use was associated with regional diabetes centre (P < 0.001). The impact of CGM use on HbA1c differed by ethnicity: Māori children had the greatest difference in HbA1c between SMBG and rtCGM (adjusted difference -15.3 mmol/mol; 95% CI, -21.5 to -9.1), with less pronounced differences seen with other ethnicities.

Interpretation

Inequities in CGM use exist based on prioritised ethnicity and socioeconomic status. Importantly, CGM was independently associated with lower HbA1c, suggesting that lack of CGM funding contributes to health disparity in children with T1D.

Funding

Australasian Paediatric Endocrine Group (APEG), Canterbury Medical Research Foundation, Starship Foundation.

A Self-Compassion Chatbot to Improve the Wellbeing of Adolescents with Type 1 Diabetes During the COVID-19 Pandemic: What do Adolescents and their Healthcare Professionals Want?

BACKGROUND

Prior to the coronavirus (COVID-19) pandemic, adolescents with type 1 diabetes (T1D) already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24/7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown.

OBJECTIVE

This qualitative study was designed to evaluate the acceptability and potential clinical utility of a novel self-compassion chatbot (called 'COMPASS') among adolescents aged 12 to 16 years with T1D and their diabetes healthcare professionals.

METHODS

Potential adolescent participants were recruited from previous participant lists, and online and in-clinic study flyers, whereas healthcare professionals were recruited from clinic emails and diabetes research special interest groups. Qualitative Zoom interviews exploring views on a newly developed self-compassion chatbot were conducted with 19 adolescents (in 4 focus groups), and 11 diabetes healthcare professionals (in 2 focus groups and 6 individual interviews), from March to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups.

RESULTS

Adolescents were broadly representation of the youth population living with T1D in Aotearoa (58% female, 68% Aotearoa New Zealand European, 11% Māori). Healthcare professionals represented a range of disciplines including Diabetes Nurse Specialists (n = 3), Health Psychologists (n = 3), Dieticians (n = 3), and Endocrinologists (n = 2). Findings offer early insight into what adolescents with T1D and their healthcare professionals see as shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13 of 19 adolescents), clinical utility (mentioned by all 11 healthcare professionals), and breadth and flexibility of tools (mentioned by 10 of 11 healthcare professionals).

CONCLUSIONS

Early data suggest that a self-compassion chatbot for adolescents with T1D is acceptable, relevant to common difficulties, and offers clinical utility during the COVID-19 pandemic. However, shared desired features amongst both groups, including problem-solving and integration with diabetes technology to support self-management, creating a safe peer-to-peer sense of community, and broadening the representation of different cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. Based on these findings, the COMPASS chatbot is currently being improved to be tested in a future feasibility study.

CLINICALTRIAL

Design of an open source ultra low cost insulin pump

In this report we present a design for an open source low cost insulin pump. The pump has been designed to provide an alternative to commercially available pumps costing upwards of US$6500, making them inaccessible to many. The hardware described in this article can be produced for a materials cost of US$89.85. Compared to other devices on the market, the design presented has the obvious advantage of being low cost, but is also highly customisable as it is run using open source software. The device is housed in a case of size 85 mm x 55 mm x 25 mm making it small enough to fit in a pocket, and equivalent to other devices on the market. The device is designed to work with insulin cartridges currently available on the market. Power is provided through the use of AAA batteries, and the pump is able to be recharged through a USB mini port. The accuracy of the pump has been tested and compared to data obtained from an in-warranty commercial insulin pump model using an identical testing methodology, with the ultra-low-cost pump performing similarly to the commercial model. The system can be readily extended to be controlled from external bluetooth or wired mobile devices using their built in security, offloading computation from the device and onto a phone.

The role of protective psychological factors, self-care behaviors, and HbA1c in young adults with type 1 diabetes

OBJECTIVE

To investigate whether protective psychological factors in young adults with type 1 diabetes are associated with more optimal self-care behaviors and HbA1c, and to explore possible mediators between protective psychological factors and HbA1c.

RESEARCH DESIGN AND METHODS

This cross-sectional study examined the associations between protective psychological factors (optimism, positive efficacy expectancies, and self-compassion), maladaptive psychological factors (depression, anxiety, and stress), self-care behaviors, and HbA1c in 113 young adults (17-25 years) with type 1 diabetes in Auckland, New Zealand. Pearson's correlations, multiple linear regressions, and multiple mediation analyses were used to examine associations and mediators.

RESULTS

Higher positive efficacy expectancies (beliefs about coping with difficulties) were associated with more optimal HbA1c (β = -0.26, 95% CI: -1.99 to -0.45) and more optimal self-care behaviors (β = 0.33, 95% CI: 0.28 to 0.92) in the adjusted models. Higher levels of self-compassion were associated with more optimal self-care behaviors (β = 0.27, 95% CI: 0.09 to 0.43). Depression was associated with less optimal self-care behaviors (β = -0.35, 95% CI: -1.33 to -0.43) and stress was associated with less optimal HbA1c (β = 0.26, 95% CI: 0.27 to 1.21). Mediation results suggested that self-care behaviors mediated the relationship between all three of the protective psychological factors and more optimal HbA1c, and that lower stress also mediated the relationship between higher self-compassion and more optimal HbA1c.

CONCLUSIONS

This study adds to the emerging literature that protective psychological factors may play an adaptive role in improving health outcomes in young adults with type 1 diabetes. Interventions targeting protective psychological factors present a promising approach to optimizing wellbeing and self-care in youth with type 1 diabetes.

Use of intermittently scanned continuous glucose monitoring in young people with high-risk type 1 diabetes-Extension phase outcomes following a 6-month randomized control trial

AIMS

To describe the impact of a 12-month intervention using intermittently scanned continuous glucose monitoring (isCGM) on glycaemic control and glucose test frequency in adolescents and young adults with type 1 diabetes (T1D) and high-risk glycaemic control (HbA_1c ≥75 mmol/mol [≥9.0%]).

METHODS

In total, 64 young people (aged 13-20 years, 16.6 ± 2.1 years; 48% female; 41% Māori or Pacific ethnicity; mean diabetes duration 7.5 ± 3.8 years) with T1D were enrolled in a 6-month, randomized, parallel-group study comparing glycaemic outcomes from the isCGM intervention (n = 33) to self monitoring blood glucose (SMBG) controls (n = 31). In this 6-month extension phase, both groups received isCGM; HbA_1c , glucose time-in-range (TIR), and combined glucose test frequency were assessed at 9 and 12 months.

RESULTS

At 12 months, the mean difference in HbA_1c from baseline was -4 mmol/mol [-0.4%] (95% confidence interval, CI: -8, 1 mmol/mol [-0.8, 0.1%]; p = 0.14) in the isCGM intervention group, and -7 mmol/mol [-0.7%] (95% CI: -16, 1 mmol/mol [-1.5, 0.1%]; p = 0.08) in the SMBG control group. No participants achieved ≥70% glucose TIR (3.9-10.0 mmol/L). The isCGM intervention group mean rate of daily glucose testing was highest at 9 months, 2.4 times baseline rates (p < 0.001), then returned to baseline by 12 months (incidence rate ratio = 1.4; 95% CI: 0.9, 2.1; p = 0.091).

CONCLUSIONS

The use of isCGM in young people with high-risk T1D resulted in transient improvements in HbA_1c and glucose monitoring over a 9-month time frame; however, benefits were not sustained to 12 months.

A comparison of FreeStyle Libre 2 to self-monitoring of blood glucose in children with type 1 diabetes and sub-optimal glycaemic control: a 12-week randomised controlled trial protocol

Purpose

Frequent glucose monitoring is necessary for optimal glycaemic control. Second-generation intermittently scanned glucose monitoring (isCGM) systems inform users of out-of-target glucose levels and may reduce monitoring burden. We aim to compare FreeStyle Libre 2 (Abbott Diabetes Care, Witney, U.K.) to self-monitoring of blood glucose in children with type 1 diabetes and sub-optimal glycaemic control.

Methods

This open-label randomised controlled trial will enrol 100 children (4–13 years inclusive, diagnosis of type 1 diabetes ≥ 6 months, HbA1c 58–110 mmol/mol [7.5–12.2%]), from 5 New Zealand diabetes centres. Following 2 weeks of blinded sensor wear, children will be randomised 1:1 to control or intervention arms. The intervention (duration 12 weeks) includes second-generation isCGM (FreeStyle Libre 2) and education on using interstitial glucose data to manage diabetes. The control group will continue self-monitoring blood glucose. The primary outcome is the difference in glycaemic control (measured as HbA1c) between groups at 12 weeks. Pre-specified secondary outcomes include change in glucose monitoring frequency, glycaemic control metrics and psychosocial outcomes at 12 weeks as well as isCGM acceptability.

Discussion

This research will investigate the effectiveness of the second-generation isCGM to promote recommended glycaemic control. The results of this trial may have important implications for including this new technology in the management of children with type 1 diabetes.

Trial registration

This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 19 February 2020 (ACTRN12620000190909p) and the World Health Organization International Clinical Trials Registry Platform (Universal Trial Number U1111-1237-0090).

Exploring the views of adolescents with type 1 diabetes on digital mental health interventions: What functionality and content do they want?

BACKGROUND

Adolescents with type 1 diabetes (T1D) experience higher rates of psychological disorders compared with their healthy peers. As poor psychological health has been associated with suboptimal glycaemic control and more frequent complications, there is an urgent need to develop more 'clinically usable' interventions. Digital mental health interventions offer unique advantages compared with in-person interventions; however, what adolescents with T1D want in terms of content and functionality is poorly understood. Accordingly, the current study conducted focus groups to examine the views of adolescents with T1D regarding digital mental health interventions.

METHODS

Four focus groups were conducted, including 16 adolescents with T1D, ranging from 13 to 17 years in age (69% female). Transcripts were analysed using directed content analysis to examine (1) 'what adolescents dislike about existing digital mental health interventions?' and (2) 'what adolescents want in future digital mental health interventions?'.

RESULTS

Findings provide a preliminary understanding of what adolescents dislike and also the type of content and functional features, which may be important to include in digital mental health programs for this population, such as a peer support feature (reported by 16 of 16), emotion and diabetes check-in feature (11 of 16) and diabetes-relevant content (12 of 16).

CONCLUSIONS

Early data suggest that digital mental health interventions should include a significant peer support element, diabetes-relevant content and examples, and check-in on their mental health and diabetes self-management regularly, while avoiding fixed responses or modules and non-age-appropriate content. Based on these findings, a digital intervention is currently being developed.