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NCT Number: NCT06586632

The Steno Free Trial: AID to Adults with New-onset of Type 1 Diabetes

Since the introduction of insulin therapy 100 years ago, significant progress has continuously been made in the treatment of people with type 1 diabetes. In the last 10 years, the focus has largely been on technology, and the introduction of automated insulin delivery (AID) systems has revolutionized the treatment of type 1 diabetes. AID is an automated system that works by enabling the insulin pump and continuous glucose monitor (CGM) to communicate with each other, automatically adjusting the subcutaneous insulin dosage according to blood glucose levels. AID technology is predominantly used for individuals with long duration of type 1 diabetes, and due to economic limitations in access to the treatment, it is especially used for those with treatment-related challenges in diabetes regulation. The aim of the Steno Free trials is to investigate whether AID technology combined with on-demand consultations for adults with newly diagnosed type 1 diabetes, compared to conventional standard treatment with a CGM after 1 year of treatment, leads to:

1. less diabetes distress, improved quality of life, and increased health literacy, 2. better diabetes regulation, 3. less disease burden and, therefore, a greater degree of freedom in their daily lives.

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Key information

About this study

Type 1 diabetes is the result of an autoimmune destruction of the insulin-producing beta cells in the islets of Langerhans in the pancreas, leading to a vital need for insulin treatment. Since the introduction of insulin therapy 100 years ago, significant progress has continuously been made in the treatment of people with type 1 diabetes. In the last 10 years, the focus has largely been on technology, and the introduction of automated insulin delivery (AID) systems has revolutionized the treatment of type 1 diabetes. AID is an automated system that works by enabling the insulin pump and continuous glucose monitor (CGM) to communicate with each other, automatically adjusting the subcutaneous insulin dosage according to blood sugar levels. The technology has been shown to result in significantly better diabetes control, measured by long-term blood sugar levels, hemoglobin A1c (HbA1c), and the time spent in the blood sugar target range (time in range (TIR)) compared to conventional insulin pen treatment. Additionally, the technology generally leads to an improvement in quality of life, manifested through better sleep, reduced anxiety, and fewer worries related to daily life with diabetes. Following these technological advances, a new survey on well-being and satisfaction among people with type 1 diabetes in Denmark has shown that over 85% of adults with diabetes are highly or very highly satisfied with their treatment. Despite this, diabetes distress remains present in 31% of individuals, particularly among young people, both with and without technology. Furthermore, we know that the initial period after a type 1 diabetes diagnosis can be marked by stress and challenges. In clinical practice, AID technology is predominantly used for individuals who have had diabetes for several years, and due to economic limitations in access to the treatment, it is especially used for those with treatment-related challenges in diabetes regulation, despite the fact that the treatment is approved and considered standard care. Through a systematic literature search for international studies, the investigators have not been able to locate studies examining the effect of AID technology for adults with newly diagnosed type 1 diabetes, making this study the first of its kind. With this study, the investigators hope to determine whether early treatment with AID technology can help individuals navigate the initial period after diagnosis more easily and to some extent free them from worries and stress related to diabetes, hence the name Steno Free. The aim of the study is to investigate whether AID technology combined with need-based consultations for adults with newly diagnosed type 1 diabetes, compared to conventional standard treatment with a CGM after 1 year of treatment, leads to:

  • less diabetes distress (PAID-20), improved quality of life (WHO-5), and increased health literacy (The Health Literacy Questionnaire);
  • better diabetes regulation (TIR and HbA1c);
  • less disease burden and, therefore, a greater degree of freedom in their daily lives (qualitative interviews).

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • new-onset of Type 1 diabetes with positive auto-antibodies

Exclusion criteria

  • negative auto-antibodies,
  • uncertainty about the type 1 diabetes diagnosis
  • pregnancy
  • ongoing cancer or other acute/chronic severe illnesses that could potentially hinder participation and compliance in the project (determined by the PI)

Treatment and study plan

AID technology

Device

Automated insulin delivery system combined with a CGM

CGM

Device

CGM alone

Primary outcomes

  1. Less diabetes distress

    Time frame: Paid-20 score will be assessed at baseline (inclusion), 3 months after inclusion and annually until end of study (anticipated average 24 months, but till the year 2028)

    Less diabetes distress will be measured via the Problem Areas in Diabetes scale (Paid-20) questionnaire.The Problem Areas In Diabetes (PAID) scale is a well- validated, psychometrically robust questionnaire with 20 items.The PAID is a self-report pencil and paper questionnaire that contains 20 items. The higher score the more negative emotions related to diabetes.

  2. Increased quality of life

    Time frame: Paid-20 score will be assessed at baseline (inclusion), 3 months after inclusion and annually until end of study(anticipated average 24 months, but till the year 2028)

    Increased quality of life will be measured via the Well-being index (WHO-5) questionnaire. The higher score the more quality of life. (The WHO-5 is focused on subjective quality of life based on positive mood (good spirits, relaxation), vitality (being active and waking up fresh and rested), and general interest (being interested in things). A score below 50 can indicate poor well-being which may be secondary to a depressive disorder or other etiology and is an indication for further evaluation.

  3. Increased health literacy

    Time frame: Paid-20 score will be assessed at baseline (inclusion), 3 months after inclusion and every 12 months until end of study(anticipated average 24 months, but till the year 2028)

    Increased health literacy will be measured via the Health Literacy questionnaire (HLQ).The HLQ has nine scales that each measure an aspect of the multidimensional construct of health literacy. All scales have good psychometric properties. The higher score the more health literacy.

Secondary outcomes

  1. Glucose regulation 1

    Time frame: TIR will be measured at baseline (inclusion) and every 12 months until end of study (anticipated average 24 months, but till the year 2028)

    CGM data including Time In Range (TIR) for the last 14 days measured by a dexcom sensor

  2. Glucose regulation 2

    Time frame: TAR will be measured at baseline (inclusion) and every 12 months until end of study (anticipated average 24 months, but till the year 2028)

    CGM data including Time above range (TAR) for the last 14 days measured by a dexcom sensor

  3. Glucose regulation 3

    Time frame: TBR will be measured at baseline (inclusion) and every 12 months until end of study (anticipated average 24 months, but till the year 2028)

    CGM data including Time below range (TBR) for the last 14 days measured by a dexcom sensor

  4. Glucose regulation 4

    Time frame: Estimated A1c will be measured at baseline (inclusion) and every 12 months until end of study(anticipated average 24 months, but till the year 2028)

    CGM data including estimated haemoglobin A1C via a dexcom sensor

  5. Insulin dosage

    Time frame: insulin dosage will be measured at baseline (inclusion) and every 12 months untill end of study(anticipated average 24 months, but till the year 2028)

    insulin dosage from both groups

  6. Number of hospitalizations

    Time frame: Will be measured retrospectively from start of study October 2024 until the end of the study(anticipated average 24 months, but till the year 2028)

    number of hospitalizations due to hypoglycemia or diabetic ketoacidosis

  7. Consultations with the health care professionals

    Time frame: Data will be retrospectively collected at the end of the study (anticipated average 24 months, but till the year 2028)

    amount of physical or virtual consultations

  8. Sick days

    Time frame: Data will be retrospectively collected at the end of the study(anticipated average 24 months, but till the year 2028)

    participants will be asked at the regularly visit at the hospital the amount of sick days since last consultation

  9. Qualitative interviews

    Time frame: 3 months and 12 months after inclusion (anticipated average 24 months, but till the year 2028)

    Qualitative interviews with emphasis on their own experience participating in the study

Study contacts

Contact information is provided by the study sponsor or research team.

Jakob Østergaard, MD, PhD

CONTACT

[email protected]

+4578450000

Sponsors and collaborators

Lead sponsor

University of Aarhus

Other

Collaborators

  • Aarhus University Hospital

Registry information

Official study title

Automated Insulin Pumps and On-demand Consultations to Adults with New-onset of Type 1 Diabetes

Important dates

Study start
2024
Primary completion
2028
Study completion
2028
First posted
Sep 19, 2024
Registry last updated
Sep 19, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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