Abstract
Introduction
Transition from paediatric to adult care is challenging for adolescents and emerging adults (ages 18 to 30 years) with type 1 diabetes (T1D). This transition is characterised by a deterioration in glycaemic control (haemoglobin A1c (HbA1c)), decreased clinical attendance, poor self-management and increased acute T1D-related complications. However, evidence to guide delivery of transition care is lacking. Given the effectiveness of group education in adult diabetes glycaemic control and improvements in qualitative measures in paediatric diabetes, group education is a potentially feasible and cost-effective alternative for the delivery of transition care. In emerging adults with T1D, we aim to assess the effectiveness of group education visits compared with usual care on HbA1c, T1D-related complications, psychosocial measures and cost-effectiveness after the transfer to adult care.
Methods and analysis
In a multisite, assessor-blinded, randomised, two-arm, parallel-group, superiority trial, 212 adolescents with T1D (ages 17 years) are randomised to 12 months group education versus usual T1D care before transfer to adult care. Visits in the active arm consist of group education sessions followed by usual T1D care visits every 3 months. Primary outcome is change in HbA1c measured at 24 months. Secondary outcomes are delays in establishing adult diabetes care, T1D-related hospitalisations and emergency department visits, severe hypoglycaemia, stigma, self-efficacy, diabetes knowledge, transition readiness, diabetes distress, quality of life and cost-effectiveness at 12 and 24 months follow-up. Analysis will be by intention-to-treat. Change in HbA1c will be calculated and compared between arms using differences (95% CI), along with cost-effectiveness analysis. A similar approach will be conducted to examine between-arm differences in secondary outcomes.
Ethics and dissemination
The study was approved by McGill University Health Centre Research Ethics Board (GET-IT/MP-37-2019-4434, version ‘Final 1.0 from November 2018). Study results will be disseminated through peer-reviewed publications.
Trial registration number
Keywords: diabetes & endocrinology, paediatric endocrinology, paediatrics
Strengths and limitations of this study.
This is the first randomised controlled trial to evaluate group education visits in adolescents with type 1 diabetes transitioning to adult care, eliminating selection bias.
Novel features include: (i) patient-driven group education visits, which are more efficient than individual visits, increasing scalability and addressing emerging adults’ identified needs for peer support, (ii) integration into usual diabetes care, leveraging on existing resources and increasing cost-effectiveness and (iii) 24 months follow-up, evaluating sustainability of the intervention.
The trial is patient-driven, multicentre, assessor-blinded, adequately powered and uses objective clinically relevant outcome measures (haemoglobin A1c) and validated questionnaires.
Limitations include unblinded trial participants and care providers, given the educational nature of the intervention.
Introduction
Approximately 15% of youth in North America have a chronic health condition that requires transition from paediatric to adult healthcare.1 Transition care is the ‘purposeful, planned movement of adolescents with chronic health conditions from child-centred to adult-oriented healthcare systems’.2 While transfer to adult care is an event, transition care is an active process that should begin in adolescence.3 The goal of transition care is to provide healthcare that is coordinated, uninterrupted, developmentally-appropriate and to develop decision-making and self-care skills.2 More than half of adolescents with chronic health conditions report inadequate support and services during transition to adult care.4–6 Complicating transition care are changes unique to emerging adulthood (ages 18 to 30 years),7 including deterioration in glycaemic control (haemoglobin A1c (HbA1c)),8–11 decreased adherence to self-care management12 13 and clinical attendance,14 15 increased risk of psychiatric disorders16–18 and involvement in risk-taking behaviours.19 20 These combined challenges result in an increased risk of inadequate medical follow-up, poor self-management, emergency department (ED) visits and hospitalisations.21
Type 1 diabetes (T1D) is one of the most common chronic diseases of childhood with significant morbidity and mortality.22 23 Prevention of complications is vital for patient health. Randomised trials have demonstrated the importance of optimising glycaemic control in preventing chronic complications.24 Prevention of shorter term complications are equally critical in T1D management; diabetic ketoacidosis (DKA) and hypoglycaemia, remain leading causes of preventable hospitalisations, ED visits and death in T1D.22 23 25–28 The British Diabetic Association Cohort study determined that mortality in the 20- to 29-year age group is three-fold higher in men and six-fold in women with T1D, compared with the general population.29 Acute preventable T1D-related complications (ie, hypoglycaemia, DKA) were the most common cause of death under the age of 30 years.30 The containment of healthcare costs is also important. The economic cost of one DKA hospitalisation ranges from US$4125 to US$11 196, in addition to familial and societal costs with missed work and school days.28
To reduce complications and costs, medical care of adolescents and emerging adults with T1D requires regular access to specialised healthcare services.31 However, during transfer to adult care, emerging adults are at risk of dropping out of medical care, only to resurface in the healthcare system with complications.32 33 A lack of transition care services was found in paediatric diabetes centres across Quebec, Canada.34 Adult diabetes care providers perceive an absence of transition care preparation as a major barrier to successful transition.35 Although there is an established framework to guide transition care, there is limited evidence to inform delivery of transition care interventions.36 37 A Cochrane review identified only four randomised controlled trials (RCTs) evaluating transition care interventions.38 These were limited by small sample size, selection bias and short follow-up. The review concluded that there was a need for a stronger evidence-base to inform the development of transition care interventions.38 In emerging adults with T1D, only few observational studies have addressed this problem.39 These studies focused on transition care coordinators40 and specialised young adult clinics.5 41–43 Although, these are promising interventions, they are restricted by costs, need for additional resources and limited scalability. Furthermore, these observational studies were limited by small sample size, selection bias, lack of appropriate comparison group and lack of adjustment for confounding factors.44 As well data on ED visits were not available.
Group education visits are an alternative for delivering transition care. These visits are characterised by a group of patients receiving comprehensive patient education, counselling and peer support in an interactive environment.36 45 Emerging adults’ ‘wish lists’ for T1D transition care include a need for education and preparation for transition care as well as peer support.4 46–48 Currently, paediatric diabetes centres have interdisciplinary healthcare teams that include diabetes nurse educators and dietitians who provide one-on-one education. Group education visits may be more efficient for providing this education.49 Compared with one-on-one appointments, group education visits have the potential to provide more in-depth discussions and education on diabetes-related topics, as well as the opportunity for peer support, with minimal additional resources.36 50 51 Peer support has been demonstrated to improve adherence to diabetes self-care and reduce diabetes-related stress in adolescents and emerging adults with T1D.52 In adults with diabetes, group visits have been shown to improve, or stabilise HbA1c, improve self-care, adherence, diabetes knowledge and quality of life (QOL).45 53 54 In a meta-analysis, group medical visits in adults with diabetes, resulted in reductions in HbA1c (−0.46%, 95% CI: −0.80% to −0.31%).45 In adolescents with T1D, three pilot studies demonstrated the feasibility and acceptability of group visits; however, these studies did not focus on the effect of group education visits on outcomes following transfer to adult care and no RCTs have been conducted.55–57
Objectives
The primary aim of our study is to determine if group education visits for adolescents with T1D, integrated into paediatric care is superior to usual care, as measured by change in HbA1c after transfer to adult care. Secondary aims will be to determine if group education is superior to usual care as measured by differences in1: Delay in care between last paediatric and first adult diabetes care visit,2 Diabetes-related ED visits and hospitalisations and severe hypoglycaemic events,3 Psychosocial measures, including validated measures of stigma, self-efficacy, QOL and diabetes distress,4 Disease knowledge and transition readiness and5 Cost-effectiveness.
Methods and analysis
Trial design
GET-IT-T1D is a multisite, assessor-blinded, randomised controlled, parallel group, two-arm, 1:1 allocation ratio, superiority trial, evaluating the efficacy of group education visits (active arm) compared with usual care (control arm) in adolescents with T1D transferring from paediatric to adult care. Participants will be randomised to 12 months of group education visits versus usual care in the year before transfer. Assessments will be performed at 0 months (baseline; before transfer), 12 months (end of intervention; at transfer) and 24 months (12 months after end of intervention; after transfer). Figure 1 presents the participant timeline.
Figure 1.
Participant timeline. AJD-DKS, L'Aide aux Jeunes Diabétiques Diabetes Knowledge and Skills questionnaire; Am I ON TRAC?, Am I ON TRAC? For Adult Care questionnaire; BDA, Barriers to Diabetes Adherence in Adolescence questionnaire stigma subscale; HbA1c, haemoglobin A1c; PedsQL, Paediatric Quality of Life Inventory Generic Core Scale and Diabetes Module; QOL, quality of life; SEDM, Self-Efficacy for Diabetes Self-Management Measure; T1D, type 1 diabetes; T1-DDS, Diabetes Distress Scale for Adults with T1D.
Study setting and eligibility criteria
Participants are adolescents 16 to 17 years of age, diagnosed with T1D, receiving care at a paediatric diabetes clinic at two academic hospitals in Montreal, Canada. Exclusion criteria are severe neurocognitive disabilities, or non-fluent in English or French. Study sites are the Montreal Children’s Hospital, McGill University Health Centre (MUHC) and the Centre Hospitalier Universitaire Sainte-Justine (CHUSJ). A certified diabetes educator (nurse, dietitian, social worker) will facilitate group education visits.
Interventions
Control arm participants will receive usual care, consisting of routine clinic visits with their diabetes care physician every 3 months for 12 months and an education session with a nurse providing written information before formal transfer. Active arm participants will be asked to attend at least three group education sessions plus usual care, every 3 months for 12 months. Sessions will coincide with routine clinic visits. Three to eight patients will be scheduled per group. Participants will remain with the same group throughout the 12-month intervention. However, a given trial participant may change groups, on participant request. Further, participants who miss the scheduled group education visit could attend the next available group visit. Sessions will commence with an ice-breaker activity (participant introductions) and then move to patient-driven, facilitator-mediated discussions. Sessions will last approximately 1 hour. To begin the participant-driven discussion, group members will be invited to submit written questions anonymously. Facilitators will then rotate reading and answering questions. Participants will be encouraged by the facilitator to ask questions. The group session content will be guided by group participant needs; however, the facilitator will actively promote discussion on transition-related topics and preparation skills, including, self-management, managing diabetes in school/employment and away from home and navigating the adult healthcare system. Table 1 outlines the discussion topics. The group discussion will end with participants setting goals for their next visit. The intervention was informed by the American Diabetes Association’s position statement on transition care,58 the transition care literature,4 21 as well as the clinical and transition care experience of research team members. Strategies to improve adherence include integrating group education into routine clinic visits, requiring no additional study visits or travel/time commitment and gift card incentives for post-intervention and follow-up assessments. Participants will also be contacted by telephone, text or email to complete follow-up assessments. Adherence will be monitored by documenting attendance to group education visits.
Table 1.
Discussion topics in group education visits
| Session | Topic/theme |
| 1 | Alcohol, drugs and smoking |
| Interpersonal relationships | |
| Driver’s permit and driving | |
| Travel | |
| 2 | Food |
| Insulin | |
| Hypoglycaemia | |
| Hyperglycaemia | |
| Physical activity | |
| 3 | School/work |
| Stress | |
| Parents | |
| Moving out | |
| Special events | |
| 4 | Adult diabetes care |
| Medical insurance and tax credit | |
| Complications of diabetes | |
| Diabetes technology | |
| Free topic(s) based on participant questions |
Recruitment
Participants will be recruited over 24 months. Recruitment strategies include verbal invitation by a research coordinator (in person or by telephone) following introduction by clinical staff (receptionist, nurse, physician), study information letter and poster advertisements available in clinical waiting areas. Participants will be offered 50% chance of receiving group education visits at no cost and gift card incentives for participation in assessments. We will obtain ethics approval from the Commission d'Accès à l’Information to merge patient clinical and questionnaire data with administrative data.
Outcomes
Primary outcome is change in HbA1c (%) at 24 months from baseline, measured using a capillary blood sample.59 HbA1c is measured at 24 months follow-up (12 months after end of intervention) to inform on the sustained effect of our intervention after transfer. Recent findings in the T1D Exchange Registry, a US multicentre registry of individuals with T1D, demonstrated that HbA1c is highest between ages 13 to 25 years and does not stabilise until after age 30 years.10 Further, the highest reported HbA1c (9.2%) was at 19 years of age. Thus, a finding of HbA1c stabilisation with group education would be considered a clinically relevant outcome, given the deterioration in HbA1c after transfer. Change in HbA1c at 12 months follow-up (end of intervention) will inform about the immediate effects of our intervention.
Secondary outcomes (1) Delay in establishing adult diabetes care (at 24 months) derived from the Physician Service Claims Database (RAMQ) and medical record chart. Delay is defined as a delay greater than 6 months between the last paediatric and the first adult diabetes care visit. We chose to examine delays greater than 6 months, since the American Diabetes Association (ADA) recommends diabetes care visits at least every 6 months for individuals aged >18 years treated with insulin.58 Delay will be expressed as a binary variable and a continuous variable (time in days between the last paediatric and first adult diabetes care visit). (2) T1D-related hospitalisations in the past 12 months (at 0, 12, 24 months), expressed as number of hospitalisations per person-years at risk, and derived from the Hospital Discharge Database (Med-Echo) and medical record chart. (3) T1D-related ED visits in the past 12 months (at 0, 12, 24 months), expressed as number of ED visits per person-years at risk and derived from the Physician Service Claims Database (RAMQ) and medical record chart. (4) Severe hypoglycaemic events in the past 12 months (at 0, 12, 24 months) derived from patient report. (5) Stigma (at 0, 12, 24 months), defined as an affirmative response to at least one of three key items on the Barriers to Diabetes Adherence in Adolescence questionnaire stigma subscale.60 (6) Self-efficacy assessed using the Self-Efficacy for Diabetes Self-Management Measure (at 0, 12, 24 months). Self-efficacy is the belief that one can carry out specific behaviours in specified situations.61 In adolescents, self-efficacy is associated with better HbA1c and adherence to diabetes care.62–64 (7) Diabetes knowledge assessed using L'Aide aux Jeunes Diabétiques Diabetes Knowledge and Skills questionnaire (at 0, 12, 24 months).65–67 (8) Transition readiness measured using the Am I ON TRAC? For Adult Care questionnaire (at 0, 12 months).68–70 (9) Diabetes distress assessed using the Diabetes Distress Scale for Adults with T1D (at 0, 12, 24 months), previously used in adolescents.71 72 (10) QOL (health-related and diabetes-specific) assessed using the Paediatric Quality of Life Inventory Generic Core Scale and Diabetes Module (at 0, 12, 24 months). (11) Cost-effectiveness of group education visits compared with usual care in terms of incremental cost effectiveness ratios (ICER) for HbA1c, QOL and self-efficacy (at 12, 24 months).
Sample size
A pilot study testing the effect of group education visits on changes in HbA1c55 demonstrated a stabilisation of HbA1c by the end of the intervention compared with deterioration in HbA1c in the 9 months leading up to the study by an absolute difference of 0.7%. To be conservative, we aim to detect a 0.5% absolute difference in HbA1c between intervention and control arms. Based on a SD of 1.2,55 we require 92 participants per arm to have 80% power with a 0.05 two-sided alpha using t-test. Allowing a loss to follow-up of up to 15%,55 we require a sample size of 212 participants.
Assignment of interventions
Sequence generation
The allocation sequence will be computer generated by the Unité de recherche clinique appliquée (URCA) using permuted blocks of random sizes with 1:1 allocation ratio. Randomisation will be stratified by site. Group allocation will be ascertained only after enrolment by research assistants.
Allocation concealment mechanism and implementation
The randomisation schedule will be held at URCA, to ensure that the person who generates the allocation sequence (data manager) is not the person who enrols participants or assigns participants to the interventions (research assistant). To reduce the possibility of study personnel predicting the allocation sequence and enhance allocation concealment, block sizes will be varied.
Blinding
Because of the nature of the intervention, participants, care providers and investigators cannot be blinded to group allocation. Outcome assessors and data analysts (StatSciences Inc, Montreal, Canada) will be blinded.
Data collection
To ensure comparability of HbA1c at 0, 12 and 24 months and between sites, HbA1c will be measured using a non-fasting, capillary blood sample, mail-in test (Bio-Rad Laboratories Ltd, Montreal, Canada). The test is considered one of the most accurate and comprehensive A1c tests available.59 At 0 and 12 months, HbA1c will be performed at clinic visits by participants. At 24 months, participants will receive the HbA1c test with a prepaid envelope for mailing the sample back to Montreal.46 All samples will be analysed at CDL Laboratories (Montreal, Canada). Trained laboratory staff performing analysis of HbA1c will be blinded. To promote participant retention and complete follow-up, participants will receive a gift card on receipt of the capillary blood sample at 24 months.
Patient-reported measures will be sent to participants by email through a platform from Research Electronic Data Capture (REDCap). Trained analysts scoring the questionnaires will be blinded. Table 2 details the validity and reliability of the questionnaires. To minimise loss to follow-up at 24 months, we have limited evaluations to an online survey and offering HbA1c testing at home (mail-in kit with prepaid envelope). To further promote participant retention and complete follow-up at 24 months, participants will be contacted through different methods (telephone, text, email).
Table 2.
Validity and reliability of study questionnaires
| Questionnaire | Details | Validity/reliability |
| Self-efficacy (Self-Efficacy for Diabetes Self-Management Measure) | Participants will rate their degree of certainty in their ability to correctly carry out 10 diabetes management tasks on a 10-point Likert scale ranging from ‘not sure at all’ to ‘completely sure’. | The test-retest intraclass correlation for the measure was 0.89. The Cronbach’s alpha coefficient 0.90. |
| Diabetes knowledge (L'Aide aux Jeunes Diabétiques Diabetes Knowledge and Skills questionnaire) | A validated scale composed of 50 true-false questions | Construct validity: scores differed by haemoglobin A1c (p<0.001) and by age (p<0.001). |
| Transition readiness (Am I ON TRAC? For Adult Care questionnaire) | The questionnaire is a 25-item validated scale consisting of: (1) knowledge scale with a 4-point Likert scale ranging from ‘strongly disagree’ to ‘strongly agree’ and a (2) behaviour index with a 5-point ordinal scale, ‘never’ to ‘always’ and asks youth to report how frequently they engage in several health-related behaviours | Cronbach’s alpha coefficient 0.93 |
| Diabetes distress (Diabetes Distress Scale for Adults with Type 1 Diabetes) | A validated 28-item self-report scale | Alpha coefficient 0.91. The test-retest reliability was 0.74. |
| Quality of life (Paediatric Quality of Life Inventory Generic Core Scale and Diabetes Module) | A 23-item and 33-item questionnaire, age-specific for 13- to 18-year-olds will be used | Cronbach’s alpha coefficient 0.88 |
The administrative data include: (1) Physician Service Claims Database (RAMQ): contains all records for remunerated services provided in outpatient clinics and EDs. Each record contains information on diagnostic code (Ninth Revision of the International Classification of Disease (ICD-9)), date of service provision, physician speciality and site where service was provided, as well as unit costs for outpatient and inpatient visits. Physician visits and ED visits will be identified as those having a diagnosis code of hyperglycaemia (ICD-9 code 250), which includes DKA and hyperosmolar hyperglycaemic coma and those with hypoglycaemia (ICD-9 code 251); (2) Hospital Discharge Database (Med-Echo): contains admission data mandatorily collected from Québec hospitals. Information in the database includes the primary and secondary diagnosis coded by ICD-10-CA, dates of admission to and discharge from hospital. Diabetes-related hospitalisations will be identified as those with diagnoses of hyperglycaemia (ICD-10 codes E10.0 to 14.0 and E10.1 to 14.1), which includes DKA and hyperosmolar hyperglycaemic coma and those with diagnoses of hypoglycaemia (E10.63 to 14.63). Unit costs for hospitalisations will be derived from Med-Echo and RAMQ databases, and from an index (All Patient Refined Diagnosis Related Groups) that factors in the relative intensity of resources used during the hospitalisation, provided by the Ministère de la Santé et des Services sociaux.73
Baseline data
We will collect baseline data (eg, sex) from the medical chart by trained assessors. Age of transfer will be determined from the date of transfer (last diabetes visit with a paediatric care physician). Diabetes duration will be determined from the diagnosis date and measured from baseline. Anthropometrics (height, weight) and vital signs are collected as part of routine clinical care. Socioeconomic status will be determined using a validated area-based material and social deprivation index developed by Pampalon (1=most privileged, 5=most deprived),74–76 previously used in diabetes studies.77 78 This index is assigned to census dissemination areas and will be linked to individual’s postal codes at baseline.
Data management
Participants will be identified by a code number. Only the principal investigators and research team will have access to the key to the code linking the participant’s name to the study file. Data entry forms and online questionnaires will be entered through a web browser in real time into a secure central database using REDCap, hosted at URCA. Data will be systematically checked for completeness, consistency and plausibility by routine edit checks implemented in the data management system. Queries generated by the system will be checked by the data manager at URCA and transmitted to the research assistants at trial sites for resolution.
Statistical analysis
Continuous data will be reported as means with SDs (or median and IQR). Categorical data will be reported as proportions. Primary outcome is change in mean HbA1c measured at 24 months and will be compared between trial arms using differences with 95% CI. A similar approach will be conducted to examine differences in secondary outcomes. Between-arm differences in means will be calculated using Student's t-tests or non-parametric statistics. Categorical variables will be compared between arms using X2 or Fisher’s exact test. To account for repeated measures, secondary analysis will be conducted to calculate within (baseline, 12 months, 24 months) and between arm-differences to evaluate changes. The primary analysis will be by intention-to-treat. If adherence is an issue, the intention-to-treat approach may underestimate the magnitude of the effect, but provides unbiased comparisons between groups. For this reason, we will conduct a secondary ‘as treated’ analysis that will include only participants who attended >3 sessions.
Cost-effectiveness
We will conduct a health economic evaluation, measuring total direct costs and incremental cost-effectiveness of the intervention from the perspective of the health system to inform policy and future scale up of the interventions. All costs related to the interventions will be collected prospectively from the intervention accounts and costs incurred by the healthcare system, respectively: (a) Costs of intervention activities (eg, diabetes educator, patient time); (b) Costs incurred by the healthcare system (ED visits, hospitalisations). ICERs, described as the ratio of the difference in costs to the difference in outcomes between the group education visits (intervention) and compared with usual care (control), will be calculated for outcome measures; HbA1c, QOL and self-efficacy; 95% CI will be calculated using bootstrap method.
Data monitoring
An independent data monitoring committee was not considered necessary, because patient safety will not be affected by the intervention which focuses on education and peer support. We consider this trial to provide minimal risk. In case of adverse events, patients will be referred to their treating physician at the MUHC, CHUSJ or other healthcare facilities.
Harms
Adverse events and serious adverse events in the previous 3 months will be documented in a case report form. Study staff will record the severity, onset and end date, action taken, relationship to the intervention and outcome. Due to the nature of the intervention, we do not expect that serious adverse events related to the intervention will occur. We will ask the patient their permission to inform their treating physician, if they have any severe hypoglycaemic events or if the diabetes distress scale indicates distress. Any serious adverse event will be immediately reported to the principal investigator, the Research Ethics Board and entered into the study database.
Auditing
For monitoring control, and safety, study files and medical charts, may be examined by a person independent from the investigators and mandated by Canadian or international regulatory authorities, such as Health Canada, as well as by representatives of the study sponsor/institution, or the Research Ethics Board. All these individuals and organisations adhere to policies on confidentiality.
Confidentiality and access to data
Only the investigators and the research team from the MUHC and CHUSJ will have access to the study data or personal information about potential and enrolled participants. Personal information will not be shared. Participants’ personal study data will be stored using REDCap. Database access will be username and password protected. Information will not be included in the participants' health record. Data analysis will be performed solely using de-identified data. The study data will be stored for 7 years by the principal investigator on site. The principal investigator will have access to the final trial data set.
Biological specimens
The blood samples will be kept at the MUHC until sending to CDL Laboratories (Montreal, Canada) for analysis for the exclusive objectives of this study and then destroyed after analysis.
Ancillary and post-trial care
Since serious adverse events have not been reported with similar interventions,45 49 53 no provisions for compensation to those who might suffer harm during trial participation will be made.
Patient and public involvement
The study uses an integrated knowledge translation approach where researchers and patients actively collaborate to shape all stages of the research process. The patient partner is an emerging adult with T1D and co-investigator on the protocol. She has contributed in study design, protocol development and designing the intervention. She will continue to contribute as a member of the research team by informing study execution, data collection, interpretation and dissemination. In addition to the patient partnership, patient involvement and peer support are key elements in the implementation of the intervention. The intervention is patient-driven and aims at improving transition, thus addressing adolescents’ identified needs for transition care preparation. Emerging adults’ ‘wish lists’ for T1D transition care include a need for education and preparation for transition care as well as peer support.4 47 48 Furthermore group education visits are more efficient than individual visits, providing peer support and can be integrated into usual diabetes care, minimising patient burden. Feedback from adolescents with T1D participating in group education sessions at the MUHC reported among the strengths of group sessions, meeting others with T1D and learning the skills that they would need when they leave paediatric care. The choice of outcomes, including glycaemic control and psychosocial measures for example, QOL were also informed by patient priorities.
The patient partner helped inform the recruitment strategies in clinic (eg, gift card incentives), data collection and retention strategies (eg, mail-in finger-prick capillary blood samples and online self-administered questionnaires). Furthermore, patients participating in the group education sessions will help shape the intervention based on their needs and topics of interest to patients. Intervention burden will be assessed by obtaining the patient perspective. Specifically, participants will be asked to report patient time (in hours) as well as travel costs as part of a cost-effectiveness analysis of the intervention. The patient partner will be involved in the interpretation of findings, media relationships and dissemination. We will meet with the patient partner three times over 4 years to review the research protocol, discuss analysis and results as well as dissemination strategies.
Roles and responsibilities
The roles and responsibilities within the trial are summarised in table 3. An independent data monitoring and safety committee was not involved (see Data monitoring section).
Table 3.
Roles and responsibilities
| Coordinating centre-principal investigator and study team | Data management team | |
| Study preparation | ||
| Study grant | X | |
| Study protocol and revisions | X | |
| Ethics approval and amendments | X | |
| Case report form (CRF) | X | X |
| Study manual | X | |
| Training and supervision | X | X |
| Study conduct | ||
| Recruitment | X | |
| Informed consent | X | |
| Randomisation | X | |
| Allocation | X | |
| Intervention | X | |
| Accessing participant medical records | X | |
| Assessments | X | |
| Collecting biospecimens | X | |
| Packaging and shipping biospecimens | X | |
| Analysing biospecimens* | X | |
| Study documentation | X | |
| Data management | ||
| Database development (eCRF†) | X | |
| Data entry | X | |
| Data verification | X | X |
| Data archiving | X | |
| Data queries | X | X |
| Quality control | ||
| Trial oversight | X | |
| Assessment and reporting of SAEs‡ | X | |
| Monitoring | X | X |
| Data analysis and reporting | ||
| Data analysis plan | X | |
| Data analysis§ | X | |
| Publication | X |
*Blinded trained laboratory staff (CDL Laboratories).
†eCRF: electronic Case Report Form.
‡SAE: Serious Adverse Event.
§Blinded data analyst (StatSciences Inc).
Ethics and dissemination
Written informed consent will be obtained by trained research assistants (model consent form available as online supplementary file 1). For protocol amendments (eg, changes to eligibility criteria, outcomes or analyses) approval by the Research Ethics Board will be sought. Important protocol modifications will be communicated to investigators, trial participants and the ClinicalTrials.gov registry.
bmjopen-2019-033806supp001.pdf (221.3KB, pdf)
For dissemination, we will reach our primary target audience through our patient partners, policymakers (via the Québec Ministry of Health), open access journal articles, workshops, media releases and presentations at conferences. Furthermore, the principal investigator is a member of Diabetes Canada Clinical Practice Guidelines expert committee and wrote the recommendations section on transition care, as such she is well positioned to disseminate the research findings to a national audience including healthcare administrators and providers as well as patients.
Supplementary Material
Footnotes
Contributors: MN (principal investigator) conceived and designed the study with input from MeH (Pediatric Endocrinologist), KD, ER (Biostatistician), MoH (Health Economist), LB, EM and MP. EM and JF helped with implementation. MN, MeH (Pediatric Endocrinologist), KD, ER, MoH (Health Economist), LB and MP are grant holders. ER provided statistical expertise in clinical trial design and is conducting the primary statistical analysis. EM drafted the initial manuscript. All authors contributed to refinement of the study protocol and approved the final manuscript.
Funding: This work was supported by the Canadian Institutes of Health Research (CIHR) grant number PJT 156096.
Competing interests: None declared.
Patient consent for publication: Not required.
Ethics approval: The study was approved by McGill University Health Centre Research Ethics Board (GET-IT/MP-37-2019-4434, version ‘Final 1.0 from November 2018).
Provenance and peer review: Not commissioned; peer reviewed for ethical and funding approval prior to submission.
Data availability statement: Individual participant data supporting the results reported in the published research articles, after de-identification will be available. Other documents that will be available include the study protocol, statistical analysis plan and informed consent form. The data will be available immediately following article publication and ending 5 years after article publication. Data will be shared with researchers who provide a scientifically sound proposal that has been approved by an independent Institutional Review Board and for analyses that addresses the aims specified in the proposal (e.g. for individual participant data meta-analysis). Proposals should be submitted to meranda.nakhla@mcgill.ca. Data requestors will need to sign a data access agreement. Data will be available up to 5 years following article publication at (Link to be included).
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