Diabetes Mellitus, Type 1NCT04878419
Acceptability of Virtual Educational Intervention for Adolescents and Young Adults With Type 1 Diabetes Mellitus
A study testing Virtual Educational Program in people with Diabetes Mellitus, Type 1, run by University Hospitals Cleveland Medical Center at 1 site in United States.
Trial summary
In this pilot study, study investigators aim to evaluate the acceptability and feasibility of a 3-month interactive virtual educational program, designed on principles of self-efficacy, reviewing aspects of Diabetes Mellitus care in adolescents and young adults with Type 1 Diabetes Mellitus (T1DM). Read more about this study
- Who is it for?
- Ages 16 to 21 years
- Conditions the study is for
- Diabetes Mellitus, Type 1
- What is being tested?
- Virtual Educational Program
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 10 participants
- Where
- 1 siteUnited States
- Study dates
- 17 Jun 2021to 1 May 2022
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 16 to 21 years
- All sexes
- No healthy volunteers
- Child, Adult
Who may be able to join
- Age range: from 16 years to 21 years of age
- Type 1 Diabetes Mellitus (Anti-body positive) for at least one year
- Suboptimal glycemic control (HBA1C > 8.5%) in the last 6 months
- Patients on insulin regimen involving multiple daily subcutaneous insulin injections (basal- bolus regimen) or insulin pumps (excluding hybrid close loop pumps)
Who cannot join
- Non-English-Speaking patients
- Patients on insulin regimen involving mixed insulin with twice daily injections
- Patients who are planning to undergo any change in their insulin delivering technology or glucose monitoring device during the study time period i.e. planning initiation or discontinuation of pump or Continuous Glucose Meter.
- Patients who received new onset DM teaching at another institution and transferred care from other institutions later in their disease course.
- Individuals with other chronic medical conditions or underlying mental health conditions like eating disorders, schizophrenia or severe depression or inability to care for themselves in activities of daily living (ADLs), or impaired ability to participate in the research in the discretion of their primary diabetes provider.
- Patients lacking accessibility of a virtual platform for the intervention modules for a 3-month
- Patients with no visit with Diabetes care provider within the 6 months prior to screening for study eligibility
- Pregnancy (only if subject, at the time of recruitment, reports being pregnant or planning a pregnancy in the next 6 months. Pregnancy tests will not be performed as part of the study).
Trial locations and contacts
1 site in 1 country.
United States1 site
University Hospitals Cleveland Medical Center
Cleveland, Ohio, 44106
About this study
Official title: Acceptability of a Virtual Educational Intervention Targeted Towards Improving Diabetes Self- Efficacy and Glycemic Control in Adolescents and Young Adults With Type 1 Diabetes Mellitus (T1DM): a Pilot Study
In this pilot study, study investigators aim to evaluate the acceptability and feasibility of a 3-month interactive virtual educational program, designed on principles of self-efficacy, reviewing aspects of Diabetes Mellitus care in adolescents and young adults with Type 1 Diabetes Mellitus (T1DM). Secondarily, investigators also aim to evaluate the effect of the educational program on participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control.
Population size:
Read more
Fifteen (15) patients will be recruited and enrolled in this study.
Study Design: This is a pilot acceptability and feasibility study with a prospective design to evaluate the effect of the educational intervention on multiple endpoints.
Study Duration:
Participants will complete educational intervention over duration of 3 months after which their glycemic control data will be retrieved from the first clinic visit post intervention (within 5 months of completion of the intervention). Hence, The overall study duration is approximately >3 to 9 months.
Read the detailed description
Background/Rationale:
The landmark study Diabetes Control and Complications Trial (DCCT, 1982-1993) conclusively proved that intensive glycemic control causes a reduction in the early stages of all microvascular complications of Type 1 Diabetes Mellitus. The durability of the impact of intensive glycemic control in reducing long term microvascular as well as macro vascular complications of T1DM was further endorsed by the observational follow up study 'Epidemiology of Diabetes Interventions and Complications (EDIC). (1)
Intensive glycemic control has since become the primary clinical goal to ensure a healthy, long life for patients with T1DM. In clinical practice, this is truly a challenge. Particularly in pediatric patients, metabolic control worsens during adolescence in both sexes. (2) Physiologic increase in insulin resistance during puberty partly plays a role, but research has shown that psychosocial factors like family functioning, coping skills, depression/anxiety contribute to metabolic control in adolescence. (3,4) Unfortunately, this worsening of metabolic control continues into young adulthood. Glycemic control substantially declines amongst T1D patients in the age range for transition to adult care, with mean HbA1C at its peak of 9.2% at age 19 years after which the glycemic control gradually improves. (5) Of note, between the ages 18-25 years of age, only 14% of patients were shown to meet American Diabetes Association(ADA) HbA1c targets from the updated data from the T1D Exchange Clinic Registry. (5)
T1DM is a chronic lifelong illness that requires self-management on a daily basis. Despite technological leaps in the insulin delivery and blood glucose monitoring devices, self-management remains vital to diabetes mellitus care. Undoubtedly, closed loop systems have taken away the need for frequent Self-Monitoring of Blood Glucose and insulin dose administrations and adjustments, this technology is still fairly new, not universally available, is not personally preferred universally and continues to require awareness of the technological issues and participation in other aspects of Diabetes Mellitus (DM) self-care like diet and exercise.
This self-management role transitions from parent-dominant to shared management to adolescent dominant management over the course of adolescence period. (6) This age group is of particular interest for self-efficacy enhancement studies as the adolescents will soon transition to adulthood and more or less independent self-care. Self- efficacy is one's beliefs about ability to achieve a goal. Metabolic control is affected by perceived self-efficacy to conduct self-care. (7) Self-efficacy beliefs are influenced by mastery, imaginal, vicarious experiences as well as physiological states and social persuasion. (8) Cultivation of positive self-efficacy is very important as it not only influences task performance but also plays a role in coping. (8)
Strategies to improve glycemic control remains an area of interest for clinicians and researchers. In a meta-analysis of ten randomized control trials, Winkley et al concluded that psychological treatments can slightly improve glycemic control in children. (9) Other studies have shown that adherence to treatment regimen is linked to better glycemic control. (10) Literature is rampant with adherence promoting behavioral interventions to positively affect the diabetes self-management. Some examples include motivational/solution-focused group intervention (11), coping skills training (12), family-focused teamwork (TW) intervention (13), diabetes personal trainer" intervention, consisting of self-monitoring, goal-setting, and problem-solving sessions with trained nonprofessionals (14). Meta-analysis of fifteen (randomized control trials (RCTs) that employed adherence promoting behavioral interventions concluded that there is only a modest improvement in glycemic control with significant variability between different interventions. (15)
Unfortunately, most of these interventions are costly, time consuming and not practical for long term maintenance and employment in a clinical setting. Interventions that keep in consideration the concept of reach, efficacy, adoption, implementation, maintenance (RE-AIM) are required. (16)
To tackle these issues, investigators plan to study virtual interventions employing telehealth services. Telehealth videoconferencing has the potential to improve care in pediatric diabetes patients by increasing visits. (17) Studies have shown that patients' glycemic control remained stable and there was no increase in Diabetic Ketoacidosis (DKA), Emergency Department (ED) or hospital visits and satisfaction was equal to in-person visits with telehealth. (18) Virtual access is more stream- lined, overcomes the challenge of time and resources needed on part of patient. Particularly, during the uncertain times of the Coronavirus disease-19 (COVID-19) pandemic, virtual programs can serve a vital role. The study findings can be used to construct a virtual structured transition of care program for youth with Type 1 Diabetes Mellitus which is more accessible and time-flexible for patient needs.
Study Objectives:
- To evaluate the acceptability and feasibility of a 3-month interactive virtual educational program, designed on principles of self-efficacy, reviewing aspects of Diabetes Mellitus care in adolescents and young adults with Type 1 Diabetes Mellitus.
- To evaluate the effect of the educational program on participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control.
- To evaluate the effect of outcome expectation on degree of change in participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control after the educational intervention.
- To evaluate the association of childhood opportunity index with the impact of the educational intervention
Study Hypotheses:
- Investigators hypothesize that the participants will have improvement in their subjective diabetes self-efficacy, diabetes knowledge scores, diabetes distress as well as their glycemic control (measured by percent change in HbA1C and Time in Range data) post-completion of intervention.
- Investigator also hypothesize that participants with positive outcome expectation for the virtual education program and with a higher childhood opportunity score will have greater improvement in their subjective diabetes self- efficacy, diabetes related distress, diabetes knowledge scores and glycemic control post intervention.
Study Design:
This is a pilot acceptability and feasibility study with a prospective design to evaluate the effect of the educational intervention on multiple endpoints.The overall study duration is approximately >3 to 9 months.
Pre-Intervention Procedures:
The following surveys will be administered to the participants at the pre-intervention encounter:
- A baseline survey about patient's characteristics and diabetes management data.
- Diabetes Self Efficacy survey
- Diabetes related Distress survey
- Diabetes Knowledge survey
- Survey for Outcome expectation for the intervention
Glycemic control data (HBA1C and Time in Range) will be retrieved from the patient's medical chart from the clinic visit prior to consenting for the study.
Intervention Procedures:
Weekly virtual and interactive educational sessions will be administered by the PI. There are total 11 sessions. Each session is about 15-20 minutes. These sessions will be administered through secure tele-health media Doxy.me. At the end of each module, feedback surveys will be administered.
Broadly, the educational sessions will cover topics including Type 1 Diabetes pathophysiology, management of T1DM and complications of Hypoglycemia and Hyperglycemia, Types of Insulin, available Diabetes technology and utilizing blood glucose data for T1DM management, Sick day management, diabetes related complications, practical life issues during transition to adulthood including insurance, medications and supplies management, driving, dating and impact of drinking and drugs on T1DM management. These modules will also cover anticipated issues during transition to college or to workplace and guidance to mitigate the issues.
Post-Intervention Procedures:
At the completion of the entire 3 month educational program, following surveys will be administered.
- Feedback survey for the entire educational program.
- Diabetes Self Efficacy survey
- Diabetes related Distress survey
- Diabetes Knowledge survey
Glycemic control data (HBA1C and Time in Range) will be retrieved from the patient's medical chart from the 1st clinic visit after completion of the entire educational program ( within five months of completion of the intervention).
- Conditions
- Diabetes Mellitus, Type 1
- Being tested
- Virtual Educational Program
- Keywords
- Self efficacy, Virtual, Education, Adolescents, Young adults
- Medical subject headings
- Diabetes Mellitus, Type 1
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Virtual Educational ProgramOther
Multiple virtual interactive sessions to provide education/knowledge about Type 1 Diabetes Mellitus care
| Study group | Role | What they receive |
|---|---|---|
| Virtual Educational Intervention | Experimental | Virtual Educational Intervention Receives: Other: Virtual Educational Program |
What is being measured
The primary outcome is the main question the study is designed to answer.
Acceptability of interactive virtual educational module no. 1
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 1, at average of week 1
Acceptability of interactive virtual educational module no. 2
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 2, at average of week 2
Acceptability of interactive virtual educational module no. 3
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 3, at average of week 3
Acceptability of interactive virtual educational module no. 4
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 4, at average of week 4
Acceptability of interactive virtual educational module no. 5
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 5, at average of week 5
Acceptability of interactive virtual educational module no. 6
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 6, at average of week 6
Acceptability of interactive virtual educational module no. 7
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 7, at average of week 7
Acceptability of interactive virtual educational module no. 8
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 8, at average of week 8
Acceptability of interactive virtual educational module no. 9
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 9, at average of week 9
Acceptability of interactive virtual educational module no. 10
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 10, at average of week 10
Acceptability of interactive virtual educational module no. 11
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 11, at average of week 11
Overall acceptability of entire interactive virtual educational program
Score on Likert-based scale on feedback survey.
Measured: At completion of Module 11, at average of week 11
Attrition Rate
Number of participants that did not complete the intervention divided by number of consenting participants
Measured: At completion of entire educational intervention for all participants, an average of 3-5 months
Recruitment Rate
Number of consenting participants divided by number of eligible approached candidates
Measured: At completion of recruitment of all participants, an average of 1 months
Secondary outcomes (10)
Change in subjective diabetes self-efficacy of participants
Comparison of pre and post intervention scores on Diabetes Empowerment Scale (Short form)- likert based scale
Measured: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' diabetes related knowledge
Comparison of pre and post intervention scores on Diabetes knowledge test (assessed through percent correct answers on an multiple choice test)
Measured: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' diabetes related distress
Comparison of pre and post intervention scores on likert based scale called Problem Areas in Diabetes Scale (for 20 to 21 years old participants) and Problem Areas in Diabetes- Teen Scale (for 16-19 years old participants).
Measured: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' Time In Range
Comparison of pre and post intervention Time in Range data from Continuous Glucose monitor.
Measured: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' HBA1C
Comparison of pre and post intervention HBA1C
Measured: At baseline and at completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants subjective diabetes self-efficacy after the educational intervention.
Outcome Expectation evaluated with a survey consisting of 5 questions.
Measured: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants diabetes related knowledge after the educational intervention.
Outcome Expectation evaluated with a survey consisting of 5 questions.
Measured: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants diabetes related distress after the educational intervention.
Outcome Expectation evaluated with a survey consisting of 5 questions.
Measured: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants HBA1C after the educational intervention.
Outcome Expectation evaluated with a survey consisting of 5 questions.
Measured: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants Time in Range after the educational intervention.
Outcome Expectation evaluated with a survey consisting of 5 questions.
Measured: At completion of entire educational intervention, an average of 3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 May 2021
- Study start17 Jun 2021
- Primary completion20 Jan 2022
- Study completion1 May 2022
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (17)Papers the sponsor has linked to this study.
- Other trials for Diabetes Mellitus, Type 1Studies of the same condition, open and under way.
- More trials run by University Hospitals Cleveland Medical CenterThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 10 participants (actual)
Sponsor and investigators
- Lead sponsor
- University Hospitals Cleveland Medical Center
- Sponsor type
- University, hospital or other
- Collaborators
- Case Western Reserve University
- Responsible party
- Principal investigator, Jamie Wood, University Hospitals Cleveland Medical Center
- Investigators
- Jamie Wood, Principal investigator, University Hospitals Cleveland Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04878419
- Sponsor's protocol ID
- STUDY20210264
- Status last verified
- Oct 2022
- First submitted
- 28 Apr 2021
- Last updated
- 28 Oct 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Nathan DM; DCCT/EDIC Research Group. The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview. Diabetes Care. 2014;37(1):9-16. doi: 10.2337/dc13-2112.
PubMed 24356592Mortensen HB, Hougaard P. Comparison of metabolic control in a cross-sectional study of 2,873 children and adolescents with IDDM from 18 countries. The Hvidore Study Group on Childhood Diabetes. Diabetes Care. 1997 May;20(5):714-20. doi: 10.2337/diacare.20.5.714.
PubMed 9135932Jack L. Biopsychosocial factors affecting metabolic control among female adolescents with type 1 diabetes. Diabetes Spectrum. 2003;16(3):154-159.
Helgeson VS, Siminerio L, Escobar O, Becker D. Predictors of metabolic control among adolescents with diabetes: a 4-year longitudinal study. J Pediatr Psychol. 2009 Apr;34(3):254-70. doi: 10.1093/jpepsy/jsn079. Epub 2008 Jul 30.
PubMed 18667479Miller KM, Foster NC, Beck RW, Bergenstal RM, DuBose SN, DiMeglio LA, Maahs DM, Tamborlane WV; T1D Exchange Clinic Network. Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry. Diabetes Care. 2015 Jun;38(6):971-8. doi: 10.2337/dc15-0078.
PubMed 25998289Schilling LS, Knafl KA, Grey M. Changing patterns of self-management in youth with type I diabetes. J Pediatr Nurs. 2006 Dec;21(6):412-24. doi: 10.1016/j.pedn.2006.01.034.
PubMed 17101399Sigurdardottir AK. Self-care in diabetes: model of factors affecting self-care. J Clin Nurs. 2005 Mar;14(3):301-14. doi: 10.1111/j.1365-2702.2004.01043.x.
PubMed 15707440Tsang SK, Hui EK, Law BC. Self-efficacy as a positive youth development construct: a conceptual review. ScientificWorldJournal. 2012;2012:452327. doi: 10.1100/2012/452327. Epub 2012 Apr 29.
PubMed 22645423Winkley K, Ismail K, Landau S, Eisler I. Psychological interventions to improve glycaemic control in patients with type 1 diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2006 Jul 8;333(7558):65. doi: 10.1136/bmj.38874.652569.55. Epub 2006 Jun 27.
PubMed 16803942Hood KK, Rohan JM, Peterson CM, Drotar D. Interventions with adherence-promoting components in pediatric type 1 diabetes: meta-analysis of their impact on glycemic control. Diabetes Care. 2010 Jul;33(7):1658-64. doi: 10.2337/dc09-2268.
PubMed 20587726Viner RM, Christie D, Taylor V, Hey S. Motivational/solution-focused intervention improves HbA1c in adolescents with Type 1 diabetes: a pilot study. Diabet Med. 2003 Sep;20(9):739-42. doi: 10.1046/j.1464-5491.2003.00995.x.
PubMed 12925054Grey M, Boland EA, Davidson M, Li J, Tamborlane WV. Coping skills training for youth with diabetes mellitus has long-lasting effects on metabolic control and quality of life. J Pediatr. 2000 Jul;137(1):107-13. doi: 10.1067/mpd.2000.106568.
PubMed 10891831Laffel LM, Vangsness L, Connell A, Goebel-Fabbri A, Butler D, Anderson BJ. Impact of ambulatory, family-focused teamwork intervention on glycemic control in youth with type 1 diabetes. J Pediatr. 2003 Apr;142(4):409-16. doi: 10.1067/mpd.2003.138.
PubMed 12712059Nansel TR, Iannotti RJ, Simons-Morton BG, Cox C, Plotnick LP, Clark LM, Zeitzoff L. Diabetes personal trainer outcomes: short-term and 1-year outcomes of a diabetes personal trainer intervention among youth with type 1 diabetes. Diabetes Care. 2007 Oct;30(10):2471-7. doi: 10.2337/dc06-2621. Epub 2007 Jul 9.
PubMed 17620445Krishna G, Mathur JS, Gupta RK. Health hazard amongst chrome industry workers with special reference to nasal septum perforation. Indian J Med Res. 1976 Jun;64(6):866-72. No abstract available.
PubMed 977043
Study at a glance
From the registry record, last updated by the sponsor on 28 Oct 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Acceptability of a Virtual Educational Intervention Targeted Towards Improving Diabetes Self- Efficacy and Glycemic Control in Adolescents and Young Adults With Type 1 Diabetes Mellitus (T1DM): a Pilot Study
- ClinicalTrials.gov ID
- NCT04878419
- Acronym / sponsor ID
- STUDY20210264
- Conditions
- Diabetes Mellitus, Type 1
- Keywords
- Self efficacy, Virtual, Education, Adolescents, Young adults
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 10 participants (actual)
- Lead sponsor
- University Hospitals Cleveland Medical CenterUniversity, hospital or other
- Collaborators
- Case Western Reserve University
- Study start
- 17 Jun 2021 (actual)
- Primary completion
- 20 Jan 2022 (actual)
- Study completion
- 1 May 2022 (actual)
- First posted
- 7 May 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In this pilot study, study investigators aim to evaluate the acceptability and feasibility of a 3-month interactive virtual educational program, designed on principles of self-efficacy, reviewing aspects of Diabetes Mellitus care in adolescents and young adults with Type 1 Diabetes Mellitus (T1DM). Secondarily, investigators also aim to evaluate the effect of the educational program on participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control.
Population size:
Fifteen (15) patients will be recruited and enrolled in this study.
Study Design: This is a pilot acceptability and feasibility study with a prospective design to evaluate the effect of the educational intervention on multiple endpoints.
Study Duration:
Participants will complete educational intervention over duration of 3 months after which their glycemic control data will be retrieved from the first clinic visit post intervention (within 5 months of completion of the intervention). Hence, The overall study duration is approximately >3 to 9 months.
Detailed description
Background/Rationale:
The landmark study Diabetes Control and Complications Trial (DCCT, 1982-1993) conclusively proved that intensive glycemic control causes a reduction in the early stages of all microvascular complications of Type 1 Diabetes Mellitus. The durability of the impact of intensive glycemic control in reducing long term microvascular as well as macro vascular complications of T1DM was further endorsed by the observational follow up study 'Epidemiology of Diabetes Interventions and Complications (EDIC). (1)
Intensive glycemic control has since become the primary clinical goal to ensure a healthy, long life for patients with T1DM. In clinical practice, this is truly a challenge. Particularly in pediatric patients, metabolic control worsens during adolescence in both sexes. (2) Physiologic increase in insulin resistance during puberty partly plays a role, but research has shown that psychosocial factors like family functioning, coping skills, depression/anxiety contribute to metabolic control in adolescence. (3,4) Unfortunately, this worsening of metabolic control continues into young adulthood. Glycemic control substantially declines amongst T1D patients in the age range for transition to adult care, with mean HbA1C at its peak of 9.2% at age 19 years after which the glycemic control gradually improves. (5) Of note, between the ages 18-25 years of age, only 14% of patients were shown to meet American Diabetes Association(ADA) HbA1c targets from the updated data from the T1D Exchange Clinic Registry. (5)
T1DM is a chronic lifelong illness that requires self-management on a daily basis. Despite technological leaps in the insulin delivery and blood glucose monitoring devices, self-management remains vital to diabetes mellitus care. Undoubtedly, closed loop systems have taken away the need for frequent Self-Monitoring of Blood Glucose and insulin dose administrations and adjustments, this technology is still fairly new, not universally available, is not personally preferred universally and continues to require awareness of the technological issues and participation in other aspects of Diabetes Mellitus (DM) self-care like diet and exercise.
This self-management role transitions from parent-dominant to shared management to adolescent dominant management over the course of adolescence period. (6) This age group is of particular interest for self-efficacy enhancement studies as the adolescents will soon transition to adulthood and more or less independent self-care. Self- efficacy is one's beliefs about ability to achieve a goal. Metabolic control is affected by perceived self-efficacy to conduct self-care. (7) Self-efficacy beliefs are influenced by mastery, imaginal, vicarious experiences as well as physiological states and social persuasion. (8) Cultivation of positive self-efficacy is very important as it not only influences task performance but also plays a role in coping. (8)
Strategies to improve glycemic control remains an area of interest for clinicians and researchers. In a meta-analysis of ten randomized control trials, Winkley et al concluded that psychological treatments can slightly improve glycemic control in children. (9) Other studies have shown that adherence to treatment regimen is linked to better glycemic control. (10) Literature is rampant with adherence promoting behavioral interventions to positively affect the diabetes self-management. Some examples include motivational/solution-focused group intervention (11), coping skills training (12), family-focused teamwork (TW) intervention (13), diabetes personal trainer" intervention, consisting of self-monitoring, goal-setting, and problem-solving sessions with trained nonprofessionals (14). Meta-analysis of fifteen (randomized control trials (RCTs) that employed adherence promoting behavioral interventions concluded that there is only a modest improvement in glycemic control with significant variability between different interventions. (15)
Unfortunately, most of these interventions are costly, time consuming and not practical for long term maintenance and employment in a clinical setting. Interventions that keep in consideration the concept of reach, efficacy, adoption, implementation, maintenance (RE-AIM) are required. (16)
To tackle these issues, investigators plan to study virtual interventions employing telehealth services. Telehealth videoconferencing has the potential to improve care in pediatric diabetes patients by increasing visits. (17) Studies have shown that patients' glycemic control remained stable and there was no increase in Diabetic Ketoacidosis (DKA), Emergency Department (ED) or hospital visits and satisfaction was equal to in-person visits with telehealth. (18) Virtual access is more stream- lined, overcomes the challenge of time and resources needed on part of patient. Particularly, during the uncertain times of the Coronavirus disease-19 (COVID-19) pandemic, virtual programs can serve a vital role. The study findings can be used to construct a virtual structured transition of care program for youth with Type 1 Diabetes Mellitus which is more accessible and time-flexible for patient needs.
Study Objectives:
- To evaluate the acceptability and feasibility of a 3-month interactive virtual educational program, designed on principles of self-efficacy, reviewing aspects of Diabetes Mellitus care in adolescents and young adults with Type 1 Diabetes Mellitus.
- To evaluate the effect of the educational program on participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control.
- To evaluate the effect of outcome expectation on degree of change in participants subjective diabetes self-efficacy, diabetes related knowledge, diabetes distress as well as glycemic control after the educational intervention.
- To evaluate the association of childhood opportunity index with the impact of the educational intervention
Study Hypotheses:
- Investigators hypothesize that the participants will have improvement in their subjective diabetes self-efficacy, diabetes knowledge scores, diabetes distress as well as their glycemic control (measured by percent change in HbA1C and Time in Range data) post-completion of intervention.
- Investigator also hypothesize that participants with positive outcome expectation for the virtual education program and with a higher childhood opportunity score will have greater improvement in their subjective diabetes self- efficacy, diabetes related distress, diabetes knowledge scores and glycemic control post intervention.
Study Design:
This is a pilot acceptability and feasibility study with a prospective design to evaluate the effect of the educational intervention on multiple endpoints.The overall study duration is approximately >3 to 9 months.
Pre-Intervention Procedures:
The following surveys will be administered to the participants at the pre-intervention encounter:
- A baseline survey about patient's characteristics and diabetes management data.
- Diabetes Self Efficacy survey
- Diabetes related Distress survey
- Diabetes Knowledge survey
- Survey for Outcome expectation for the intervention
Glycemic control data (HBA1C and Time in Range) will be retrieved from the patient's medical chart from the clinic visit prior to consenting for the study.
Intervention Procedures:
Weekly virtual and interactive educational sessions will be administered by the PI. There are total 11 sessions. Each session is about 15-20 minutes. These sessions will be administered through secure tele-health media Doxy.me. At the end of each module, feedback surveys will be administered.
Broadly, the educational sessions will cover topics including Type 1 Diabetes pathophysiology, management of T1DM and complications of Hypoglycemia and Hyperglycemia, Types of Insulin, available Diabetes technology and utilizing blood glucose data for T1DM management, Sick day management, diabetes related complications, practical life issues during transition to adulthood including insurance, medications and supplies management, driving, dating and impact of drinking and drugs on T1DM management. These modules will also cover anticipated issues during transition to college or to workplace and guidance to mitigate the issues.
Post-Intervention Procedures:
At the completion of the entire 3 month educational program, following surveys will be administered.
- Feedback survey for the entire educational program.
- Diabetes Self Efficacy survey
- Diabetes related Distress survey
- Diabetes Knowledge survey
Glycemic control data (HBA1C and Time in Range) will be retrieved from the patient's medical chart from the 1st clinic visit after completion of the entire educational program ( within five months of completion of the intervention).
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Virtual Educational Intervention | Experimental | Other: Virtual Educational ProgramVirtual Educational Intervention |
Who may qualify
- Ages
- 16 to 21 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult
Key inclusion criteria (4 listed)
- Age range: from 16 years to 21 years of age
- Type 1 Diabetes Mellitus (Anti-body positive) for at least one year
- Suboptimal glycemic control (HBA1C > 8.5%) in the last 6 months
- Patients on insulin regimen involving multiple daily subcutaneous insulin injections (basal- bolus regimen) or insulin pumps (excluding hybrid close loop pumps)
Key exclusion criteria (8 listed)
- Non-English-Speaking patients
- Patients on insulin regimen involving mixed insulin with twice daily injections
- Patients who are planning to undergo any change in their insulin delivering technology or glucose monitoring device during the study time period i.e. planning initiation or discontinuation of pump or Continuous Glucose Meter.
- Patients who received new onset DM teaching at another institution and transferred care from other institutions later in their disease course.
- Individuals with other chronic medical conditions or underlying mental health conditions like eating disorders, schizophrenia or severe depression or inability to care for themselves in activities of daily living (ADLs), or impaired ability to participate in the research in the discretion of their primary diabetes provider.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Virtual Educational ProgramMultiple virtual interactive sessions to provide education/knowledge about Type 1 Diabetes Mellitus care | Other | Virtual Educational Intervention |
Primary outcome
Acceptability of interactive virtual educational module no. 1
Time frame: At completion of Module 1, at average of week 1
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 2
Time frame: At completion of Module 2, at average of week 2
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 3
Time frame: At completion of Module 3, at average of week 3
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 4
Time frame: At completion of Module 4, at average of week 4
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 5
Time frame: At completion of Module 5, at average of week 5
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 6
Time frame: At completion of Module 6, at average of week 6
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 7
Time frame: At completion of Module 7, at average of week 7
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 8
Time frame: At completion of Module 8, at average of week 8
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 9
Time frame: At completion of Module 9, at average of week 9
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 10
Time frame: At completion of Module 10, at average of week 10
Score on Likert-based scale on feedback survey.
Acceptability of interactive virtual educational module no. 11
Time frame: At completion of Module 11, at average of week 11
Score on Likert-based scale on feedback survey.
Overall acceptability of entire interactive virtual educational program
Time frame: At completion of Module 11, at average of week 11
Score on Likert-based scale on feedback survey.
Attrition Rate
Time frame: At completion of entire educational intervention for all participants, an average of 3-5 months
Number of participants that did not complete the intervention divided by number of consenting participants
Recruitment Rate
Time frame: At completion of recruitment of all participants, an average of 1 months
Number of consenting participants divided by number of eligible approached candidates
10 secondary outcomes
Change in subjective diabetes self-efficacy of participants
Time frame: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' diabetes related knowledge
Time frame: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' diabetes related distress
Time frame: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' Time In Range
Time frame: At baseline and at completion of entire educational intervention, an average of 3 months
Change in participants' HBA1C
Time frame: At baseline and at completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants subjective diabetes self-efficacy after the educational intervention.
Time frame: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants diabetes related knowledge after the educational intervention.
Time frame: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants diabetes related distress after the educational intervention.
Time frame: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants HBA1C after the educational intervention.
Time frame: At completion of entire educational intervention, an average of 3 months
Correlation of outcome expectation on degree of change in participants Time in Range after the educational intervention.
Time frame: At completion of entire educational intervention, an average of 3 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 28 Oct 2022.
- Background: PubMed 24356592Nathan DM; DCCT/EDIC Research Group. The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: overview. Diabetes Care. 2014;37(1):9-16. doi: 10.2337/dc13-2112.
- Background: PubMed 9135932Mortensen HB, Hougaard P. Comparison of metabolic control in a cross-sectional study of 2,873 children and adolescents with IDDM from 18 countries. The Hvidore Study Group on Childhood Diabetes. Diabetes Care. 1997 May;20(5):714-20. doi: 10.2337/diacare.20.5.714.
- BackgroundJack L. Biopsychosocial factors affecting metabolic control among female adolescents with type 1 diabetes. Diabetes Spectrum. 2003;16(3):154-159.
- Background: PubMed 18667479Helgeson VS, Siminerio L, Escobar O, Becker D. Predictors of metabolic control among adolescents with diabetes: a 4-year longitudinal study. J Pediatr Psychol. 2009 Apr;34(3):254-70. doi: 10.1093/jpepsy/jsn079. Epub 2008 Jul 30.
- Background: PubMed 25998289Miller KM, Foster NC, Beck RW, Bergenstal RM, DuBose SN, DiMeglio LA, Maahs DM, Tamborlane WV; T1D Exchange Clinic Network. Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry. Diabetes Care. 2015 Jun;38(6):971-8. doi: 10.2337/dc15-0078.
- Background: PubMed 17101399Schilling LS, Knafl KA, Grey M. Changing patterns of self-management in youth with type I diabetes. J Pediatr Nurs. 2006 Dec;21(6):412-24. doi: 10.1016/j.pedn.2006.01.034.
- Background: PubMed 15707440Sigurdardottir AK. Self-care in diabetes: model of factors affecting self-care. J Clin Nurs. 2005 Mar;14(3):301-14. doi: 10.1111/j.1365-2702.2004.01043.x.
- Background: PubMed 22645423Tsang SK, Hui EK, Law BC. Self-efficacy as a positive youth development construct: a conceptual review. ScientificWorldJournal. 2012;2012:452327. doi: 10.1100/2012/452327. Epub 2012 Apr 29.
- Background: PubMed 16803942Winkley K, Ismail K, Landau S, Eisler I. Psychological interventions to improve glycaemic control in patients with type 1 diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2006 Jul 8;333(7558):65. doi: 10.1136/bmj.38874.652569.55. Epub 2006 Jun 27.
- Background: PubMed 20587726Hood KK, Rohan JM, Peterson CM, Drotar D. Interventions with adherence-promoting components in pediatric type 1 diabetes: meta-analysis of their impact on glycemic control. Diabetes Care. 2010 Jul;33(7):1658-64. doi: 10.2337/dc09-2268.
- Background: PubMed 12925054Viner RM, Christie D, Taylor V, Hey S. Motivational/solution-focused intervention improves HbA1c in adolescents with Type 1 diabetes: a pilot study. Diabet Med. 2003 Sep;20(9):739-42. doi: 10.1046/j.1464-5491.2003.00995.x.
- Background: PubMed 10891831Grey M, Boland EA, Davidson M, Li J, Tamborlane WV. Coping skills training for youth with diabetes mellitus has long-lasting effects on metabolic control and quality of life. J Pediatr. 2000 Jul;137(1):107-13. doi: 10.1067/mpd.2000.106568.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jamie Wood principal investigator
University Hospitals Cleveland Medical Center
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Virtual Educational Program in people with Diabetes Mellitus, Type 1, run by University Hospitals Cleveland Medical Center at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 28 Oct 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Acceptability of interactive virtual educational module no. 1 (time frame: At completion of Module 1, at average of week 1). The study lists 14 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04878419, which also lists 17 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Oct 2022.