Protocol for the STEADY intervention for type 1 diabetes and disordered eating: Safe management of people with Type 1 diabetes and EAting Disorders studY.

This paper describes the protocol to test the feasibility of the Safe management of people with Type 1 diabetes and EAting Disorders studY (STEADY) intervention. STEADY is a novel complex intervention for people with type 1 diabetes and disordered eating (T1DE) of mild to moderate severity. The STEADY intervention integrates cognitive behavioural therapy (CBT) with diabetes education, and was developed using Experience-Based Co-Design. METHODS: The feasibility of STEADY will be tested using a randomised controlled feasibility trial. Forty adults with T1DE will be recruited and randomised into the STEADY intervention or treatment as usual control group. We will collect demographic, biomedical and psychometric data, routine glucose metrics and conduct the Structured Clinical Interview for DSM-5. Participants randomised to the STEADY intervention will receive 12 STEADY therapy sessions with a diabetes specialist nurse trained in CBT, delivered via videoconference and an optional smartphone app. The main outcome at 6 months will be the feasibility of STEADY (recruitment, dropout rates, feasibility of delivery). The secondary outcomes are biomedical (HbA1c and glucose time in range) and psychological (person-reported outcome measures in disordered eating, diabetes distress, depression and anxiety). A process evaluation will evaluate the fidelity, feasibility, acceptability and appropriateness of STEADY, and participant experiences. ETHICS AND DISSEMINATION: The protocol was approved by the East of England-Essex Research Ethics Committee (21/EE/0235). Study findings will be shared with study participants and disseminated through peer-reviewed publications and conference presentations.

A cognitive behavioural model of the bidirectional relationship between disordered eating and diabetes self care in adult men with Type 1 diabetes mellitus.

AIMS: This qualitative study aimed to develop the first cognitive behavioural (CBT) model outlining the development and maintenance of disordered eating in adult men living with Type 1 diabetes to improve on previous theoretical models of Type 1 diabetes and disordered eating and to draw comparisons to women with Type 1 diabetes and disordered eating. METHODS: Twenty-seven men (n = 16 with Type 1 diabetes and disordered eating, n = 11 with Type 1 diabetes without disordered eating) participated in semi-structured interviews. Data were analysed using thematic analysis and individual CBT formulations were developed for each participant to inform the model. RESULTS: Men with Type 1 diabetes and disordered eating experience negative thoughts about food, insulin, weight/shape and diabetes itself, which cause negative emotions such as fear and vulnerability and difficulties with diabetes self care such as problems with hyper and hypoglycaemia and problems accessing structured education and technology result in men feeling more dissatisfied about their body weight/shape. CONCLUSIONS: This CBT model of disordered eating in men with Type 1 diabetes can guide new interventions.

Associations of clinical, psychological, and sociodemographic characteristics and ecological momentary assessment completion in the 10-week Hypo-METRICS study: Hypoglycaemia MEasurements ThResholds and ImpaCtS.

INTRODUCTION: Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes in real-time using ecological momentary assessment (EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion. METHODS: Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics. RESULTS: In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66) years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR) overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and 94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion. DISCUSSION: High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time.

Developing a novel intervention for type 1 diabetes and disordered eating using a participatory action design process: Safe management of people with Type 1 diabetes and EAting Disorders studY (STEADY).

AIMS: To develop a cognitive behavioural therapy-based intervention for people with type 1 diabetes and disordered eating using Experience-Based Co-Design as part of the Safe management of people with Type 1 diabetes and EAting Disorders studY (STEADY). METHODS: Fifteen people with type 1 diabetes and experience of disordered eating (33 ± 11 years old, 22 ± 12 years diabetes duration) and 25 healthcare professionals working in type 1 diabetes or eating disorders (44 ± 9 years old; 14 ± 10 years of professional experience) attended six Experience-Based Co-Design workshops from July 2019 to March 2020 to collaboratively develop intervention content. RESULTS: We developed a cognitive behaviour therapy intervention 'toolkit' that can be tailored for individual patient needs. Participants designed and revised toolkit materials to ensure acceptability and relevance for people with diabetes and disordered eating by engaging in guided discussion, brainstorming, and rapid testing to review toolkit prototypes in an iterative process. Workshop themes were 'Insulin titration'; 'Hypoglycaemia'; 'Coming to terms with diabetes'; 'Fear of weight gain'; 'Toolkit revision'; and 'Practical elements of STEADY therapy'. The intervention is focussed on improving diabetes self-care and embedded in a multidisciplinary healthcare approach. The intervention will be delivered in 12 sessions by a diabetes specialist nurse trained in cognitive behavioural therapy. CONCLUSIONS: Through an iterative co-design process, people with type 1 diabetes and healthcare professionals collaboratively developed a novel intervention toolkit that can be used with a wide range of disordered eating presentations. The intervention will be tested in the STEADY feasibility randomised controlled trial.

Hypo-METRICS: Hypoglycaemia-MEasurement, ThResholds and ImpaCtS-A multi-country clinical study to define the optimal threshold and duration of sensor-detected hypoglycaemia that impact the experience of hypoglycaemia, quality of life and health economic outcomes: The study protocol.

INTRODUCTION: Hypoglycaemia is a significant burden to people living with diabetes and an impediment to achieving optimal glycaemic outcomes. The use of continuous glucose monitoring (CGM) has improved the capacity to assess duration and level of hypoglycaemia. The personal impact of sensor-detected hypoglycaemia (SDH) is unclear. Hypo-METRICS is an observational study designed to define the threshold and duration of sensor glucose that provides the optimal sensitivity and specificity for events that people living with diabetes experience as hypoglycaemia. METHODS: We will recruit 600 participants: 350 with insulin-treated type 2 diabetes, 200 with type 1 diabetes and awareness of hypoglycaemia and 50 with type 1 diabetes and impaired awareness of hypoglycaemia who have recent experience of hypoglycaemia. Participants will wear a blinded CGM device and an actigraphy monitor to differentiate awake and sleep times for 10 weeks. Participants will be asked to complete three short surveys each day using a bespoke mobile phone app, a technique known as ecological momentary assessment. Participants will also record all episodes of self-detected hypoglycaemia on the mobile app. We will use particle Markov chain Monte Carlo optimization to identify the optimal threshold and duration of SDH that have optimum sensitivity and specificity for detecting patient-reported hypoglycaemia. Key secondary objectives include measuring the impact of symptomatic and asymptomatic SDH on daily functioning and health economic outcomes. ETHICS AND DISSEMINATION: The protocol was approved by local ethical boards in all participating centres. Study results will be shared with participants, in peer-reviewed journal publications and conference presentations.

A cognitive behavioural model of the bidirectional relationship between disordered eating and diabetes self care in people with type 1 diabetes mellitus.

AIMS: This qualitative study aimed to develop the first cognitive behavioural therapy model outlining the development and maintenance of disordered eating in type 1 diabetes and report on recovery strategies and resilience factors to improve previous theoretical models of type 1 diabetes and disordered eating. METHODS: Twenty-three women (n = 9 with type 1 diabetes and disordered eating, n = 5 with type 1 diabetes recovering from disordered eating, and n = 9 with type 1 diabetes without disordered eating) participated in semi-structured interviews. Data were analysed using grounded theory and individual cognitive-behavioural formulations were developed for each participant to inform the development/maintenance and resilience models. RESULTS: The development/maintenance model summarises commonly experienced vicious cycles of thoughts, feelings and behaviours in type 1 diabetes and disordered eating. The resilience model summarises strategies and knowledge acquired by those with type 1 diabetes in recovery from disordered eating and individuals with type 1 diabetes who did not develop disordered eating. Early adverse life events, past psychiatric history, perfectionist personality traits, difficult experiences around type 1 diabetes diagnosis and its relentless daily management sensitise individuals to eating, weight and shape cues. Alongside physical symptoms/complications, unhelpful interpersonal reactions and inadequate healthcare, vicious cycles of thoughts, feelings and behaviours develop. 'Good enough' psychological adaptation to type 1 diabetes, integrating type 1 diabetes into one's identity, self care and compassion around eating, weight and shape were key protective/post-traumatic resilience factors. CONCLUSIONS: This first cognitive behavioural therapy model of type 1 diabetes and disordered eating informed by personal experience will inform an intervention for type 1 diabetes and disordered eating.

Disordered eating in women with type 1 diabetes: Continuous glucose monitoring reveals the complex interactions of glycaemia, self-care behaviour and emotion.

OBJECTIVES: Glycaemia in people with type 1 diabetes and disordered eating is not well characterised. We explored the glycaemia, self-care behaviour and emotional state of women with type 1 diabetes and disordered eating. RESEARCH DESIGN AND METHODS: In all, 13 women with and 10 without disordered eating and type 1 diabetes participated in this case-control study. We used a mixed-methods approach with a 7-day blinded continuous glucose monitoring and real-time record of non-prompted capillary glucose (CG), emotion, activity and physical symptoms on a diabetes diary using a smartphone application (mySugr®). We compared groups using Mann-Whitney U test or Fisher's exact test. We conducted thematic analyses of free-text diary entries (NVivo®) and quantitative analysis of emotion/symptom tags. RESULTS: People with type 1 diabetes and disordered eating spent longer time above range in level 2 hyperglycaemia (>13.9 mmol/L, Median [interquartile range]: 21% [16,60] vs 5% [2,17], p = 0.015). They had lower time in range and similar time below range compared to those without disordered eating. The standard deviation of CG was significantly higher in the disordered eating group (4.7 mmol/L [4.5, 6.1] vs 3 [2.8, 3.2], p = 0.018). The median of the percentage of rising sensor glucose trends was three times higher in the disordered eating group. They also had higher negative emotional and physical symptoms associated with high blood glucose (>15 mmol/L). CONCLUSIONS: Disordered eating has a significant impact on the glycaemia and emotion of a person with type 1 diabetes.

Associations Between Hypoglycemia Awareness Status and Symptoms of Hypoglycemia Among Adults with Type 1 or Insulin-Treated Type 2 Diabetes Using the Hypo-METRICS Smartphone Application.

Introduction: This study examined associations between hypoglycemia awareness status and hypoglycemia symptoms reported in real-time using the novel Hypoglycaemia-MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone application (app) among adults with insulin-treated type 1 (T1D) or type 2 diabetes (T2D). Methods: Adults who experienced at least one hypoglycemic episode in the previous 3 months were recruited to the Hypo-METRICS study. They prospectively reported hypoglycemia episodes using the app for 10 weeks. Any of eight hypoglycemia symptoms were considered present if intensity was rated between "A little bit" to "Very much" and absent if rated "Not at all." Associations between hypoglycemia awareness (as defined by Gold score) and hypoglycemia symptoms were modeled using mixed-effects binary logistic regression, adjusting for glucose monitoring method and diabetes duration. Results: Of 531 participants (48% T1D, 52% T2D), 45% were women, 91% white, and 59% used Flash or continuous glucose monitoring. Impaired awareness of hypoglycemia (IAH) was associated with lower odds of reporting autonomic symptoms than normal awareness of hypoglycemia (NAH) (T1D odds ratio [OR] 0.43 [95% confidence interval {CI} 0.25-0.73], P = 0.002); T2D OR 0.51 [95% CI 0.26-0.99], P = 0.048), with no differences in neuroglycopenic symptoms. In T1D, relative to NAH, IAH was associated with higher odds of reporting autonomic symptoms at a glucose concentration <54 than >70 mg/dL (OR 2.18 [95% CI 1.21-3.94], P = 0.010). Conclusion: The Hypo-METRICS app is sensitive to differences in hypoglycemia symptoms according to hypoglycemia awareness in both diabetes types. Given its high ecological validity and low recall bias, the app may be a useful tool in research and clinical settings. The clinical trial registration number is NCT04304963.

A Comparison of the Rates of Clock-Based Nocturnal Hypoglycemia and Hypoglycemia While Asleep Among People Living with Diabetes: Findings from the Hypo-METRICS Study.

Introduction: Nocturnal hypoglycemia is generally calculated between 00:00 and 06:00. However, those hours may not accurately reflect sleeping patterns and it is unknown whether this leads to bias. We therefore compared hypoglycemia rates while asleep with those of clock-based nocturnal hypoglycemia in adults with type 1 diabetes (T1D) or insulin-treated type 2 diabetes (T2D). Methods: Participants from the Hypo-METRICS study wore a blinded continuous glucose monitor and a Fitbit Charge 4 activity monitor for 10 weeks. They recorded details of episodes of hypoglycemia using a smartphone app. Sensor-detected hypoglycemia (SDH) and person-reported hypoglycemia (PRH) were categorized as nocturnal (00:00-06:00 h) versus diurnal and while asleep versus awake defined by Fitbit sleeping intervals. Paired-sample Wilcoxon tests were used to examine the differences in hypoglycemia rates. Results: A total of 574 participants [47% T1D, 45% women, 89% white, median (interquartile range) age 56 (45-66) years, and hemoglobin A1c 7.3% (6.8-8.0)] were included. Median sleep duration was 6.1 h (5.2-6.8), bedtime and waking time ∼23:30 and 07:30, respectively. There were higher median weekly rates of SDH and PRH while asleep than clock-based nocturnal SDH and PRH among people with T1D, especially for SDH <70 mg/dL (1.7 vs. 1.4, P < 0.001). Higher weekly rates of SDH while asleep than nocturnal SDH were found among people with T2D, especially for SDH <70 mg/dL (0.8 vs. 0.7, P < 0.001). Conclusion: Using 00:00 to 06:00 as a proxy for sleeping hours may underestimate hypoglycemia while asleep. Future hypoglycemia research should consider the use of sleep trackers to record sleep and reflect hypoglycemia while asleep more accurately. The trial registration number is NCT04304963.

Assessing the Content Validity, Acceptability, and Feasibility of the Hypo-METRICS App: Survey and Interview Study.

BACKGROUND: The Hypoglycaemia - MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone app was developed to investigate the impact of hypoglycemia on daily functioning in adults with type 1 diabetes mellitus or insulin-treated type 2 diabetes mellitus. The app uses ecological momentary assessments, thereby minimizing recall bias and maximizing ecological validity. It was used in the Hypo-METRICS study, a European multicenter observational study wherein participants wore a blinded continuous glucose monitoring device and completed the app assessments 3 times daily for 70 days. OBJECTIVE: The 3 aims of the study were to explore the content validity of the app, the acceptability and feasibility of using the app for the duration of the Hypo-METRICS study, and suggestions for future versions of the app. METHODS: Participants who had completed the 70-day Hypo-METRICS study in the United Kingdom were invited to participate in a brief web-based survey and an interview (approximately 1h) to explore their experiences with the app during the Hypo-METRICS study. Thematic analysis of the qualitative data was conducted using both deductive and inductive methods. RESULTS: A total of 18 adults with diabetes (type 1 diabetes: n=10, 56%; 5/10, 50% female; mean age 47, SD 16 years; type 2 diabetes: n=8, 44%; 2/8, 25% female; mean age 61, SD 9 years) filled out the survey and were interviewed. In exploring content validity, participants overall described the Hypo-METRICS app as relevant, understandable, and comprehensive. In total, 3 themes were derived: hypoglycemia symptoms and experiences are idiosyncratic; it was easy to select ratings on the app, but day-to-day changes were perceived as minimal; and instructions could be improved. Participants offered suggestions for changes or additional questions and functions that could increase engagement and improve content (such as providing more examples with the questions). In exploring acceptability and feasibility, 5 themes were derived: helping science and people with diabetes; easy to fit in, but more flexibility wanted; hypoglycemia delaying responses and increasing completion time; design, functionality, and customizability of the app; and limited change in awareness of symptoms and impact. Participants described using the app as a positive experience overall and as having a possible, although limited, intervention effect in terms of both hypoglycemia awareness and personal impact. CONCLUSIONS: The Hypo-METRICS app shows promise as a new research tool to assess the impact of hypoglycemia on an individual's daily functioning. Despite suggested improvements, participants' responses indicated that the app has satisfactory content validity, overall fits in with everyday life, and is suitable for a 10-week research study. Although developed for research purposes, real-time assessments may have clinical value for monitoring and reviewing hypoglycemia symptom awareness and personal impact.

Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app.

INTRODUCTION: The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functioning in people with insulin-treated diabetes. MATERIALS AND METHODS: 100 adults with type 1 diabetes mellitus (T1DM, n = 64) or insulin-treated type 2 diabetes mellitus (T2DM, n = 36) completed three daily 'check-ins' (morning, afternoon and evening) via the Hypo-METRICs app across 10 weeks, to respond to 29 unique questions about their subjective daily functioning. Questions addressed sleep quality, energy level, mood, affect, cognitive functioning, fear of hypoglycemia and hyperglycemia, social functioning, and work/productivity. Completion rates, structural validity, internal consistency, and test-retest reliability were explored. App responses were correlated with validated person-reported outcome measures to investigate convergent (rs>±0.3) and divergent (rs<±0.3) validity. RESULTS: Participants' mean±SD age was 54±16 years, diabetes duration was 23±13 years, and most recent HbA1c was 56.6±9.8 mmol/mol. Participants submitted mean±SD 191±16 out of 210 possible 'check-ins' (91%). Structural validity was confirmed with multi-level confirmatory factor analysis showing good model fit on the adjusted model (Comparative Fit Index >0.95, Root-Mean-Square Error of Approximation <0.06, Standardized Root-Mean-square Residual<0.08). Scales had satisfactory internal consistency (all ω≥0.5), and high test-retest reliability (rs≥0.7). Convergent and divergent validity were demonstrated for most scales. CONCLUSION: High completion rates and satisfactory psychometric properties demonstrated that the Hypo-METRICS app is acceptable to adults with T1DM and T2DM, and a reliable and valid tool to explore the daily impact of hypoglycemia.

Investigating the day-to-day impact of hypoglycaemia in adults with type 1 or type 2 diabetes: design and validation protocol of the Hypo-METRICS application.

INTRODUCTION: Hypoglycaemia is a frequent adverse event and major barrier for achieving optimal blood glucose levels in people with type 1 or type 2 diabetes using insulin. The Hypo-RESOLVE (Hypoglycaemia-Redefining SOLutions for better liVEs) consortium aims to further our understanding of the day-to-day impact of hypoglycaemia. The Hypo-METRICS (Hypoglycaemia-MEasurement, ThResholds and ImpaCtS) application (app) is a novel app for smartphones. This app is developed as part of the Hypo-RESOLVE project, using ecological momentary assessment methods that will minimise recall bias and allow for robust investigation of the day-to-day impact of hypoglycaemia. In this paper, the development and planned psychometric analyses of the app are described. METHODS AND ANALYSIS: The three phases of development of the Hypo-METRICS app are: (1) establish a working group-comprising diabetologists, psychologists and people with diabetes-to define the problem and identify relevant areas of daily functioning; (2) develop app items, with user-testing, and implement into the app platform; and (3) plan a large-scale, multicountry study including interviews with users and psychometric validation. The app includes 7 modules (29 unique items) assessing: self-report of hypoglycaemic episodes (during the day and night, respectively), sleep quality, well-being/cognitive function, social interactions, fear of hypoglycaemia/hyperglycaemia and work/productivity. The app is designed for use within three fixed time intervals per day (morning, afternoon and evening). The first version was released mid-2020 for use (in conjunction with continuous glucose monitoring and activity tracking) in the Hypo-METRICS study; an international observational longitudinal study. As part of this study, semistructured user-experience interviews and psychometric analyses will be conducted. ETHICS AND DISSEMINATION: Use of the novel Hypo-METRICS app in a multicountry clinical study has received ethical approval in each of the five countries involved (Oxford B Research Ethics Committee, CMO Region Arnhem-Nijmegen, Ethikkommission der Medizinischen Universität Graz, Videnskabsetisk Komite for Region Hovedstaden and the Comite Die Protection Des Personnes SUD Mediterranne IV). The results from the study will be published in peer review journals and presented at national and international conferences. TRIAL REGISTRATION NUMBER: NCT04304963.

Evaluability assessments as an approach to examining social prescribing.

We report on two evaluability assessments (EAs) of social prescribing (SP) services in South East England conducted in 2016/7. We aimed to demonstrate how EAs can be used to assess whether a programme is ready to be evaluated for outcomes, what changes would be needed to do so and whether the evaluation would contribute to improved programme performance. We also aimed to draw out the lessons learned through the EA process and consider how these can inform the design and evaluation of SP schemes. EAs followed the steps described by Wholey, New Dir Eval 33:77, (1987) and Leviton et al., Annu Rev Public Health 31:213, (2010), including collaboration with stakeholders, elaboration, testing and refinement of an agreed programme theory, understanding the programme reality, identification and review of existing data sources and assessment against key criteria. As a result, evaluation of the services was not recommended. Necessary changes to allow for future evaluation include gaining access to electronic patient records, establishing procedures for collection of baseline and outcome data and linking to data on use of other healthcare services. Lessons learned include ensuring that: (a) SP schemes are developed with involvement (and buy in) of relevant stakeholders; (b) information governance and data sharing agreements are in place from the start; (c) staffing levels are sufficient to cover the range of activities involved in service delivery, data monitoring, reporting, evaluation and communication with stakeholders; (d) SP schemes are co-located with primary care services; and (e) referral pathways and linkages to health service data systems are established as part of the programme design. We conclude that EA provides a valuable tool for informing the design and evaluation of SP schemes. EA can help commissioners to make best use of limited evaluation resources and prioritise which programmes need to be evaluated, as well as how, why and when.