NCT07814508

Brief Summary

The goal of this controlled pre-post-trial is to test the Accu-Chek SmartGuide continuous glucose monitoring (CGM) system and whether its predictive features provide additional benefits for adults with type 1 diabetes or insulin- treated type 2 diabetes. The main questions this study aims to answer are:

  • Does using the Accu-Chek SmartGuide together with the Predict App change participants' fear of hypoglycemia?
  • Does the Predict App affect other psychological and behavioral outcomes, such as sleep quality, confidence in preventing hypoglycemia, diabetes- related distress, and diabetes empowerment?
  • Does the use of the predictive features affect glucose levels and the way participants use and respond to CGM alarms and trend information? Participants will use the Accu-Chek SmartGuide for 6 weeks. During the first 2 weeks, participants will use the CGM system without the predictive features. During the following 4 weeks, participants will use the system together with the Accu-Chek SmartGuide Predict App. Participants will complete online questionnaires at two time points (after 2 and after 6 weeks) and answer short questions twice a day through a smartphone app during the first 2 weeks and the last 2 weeks of the study. CGM data will be collected throughout the study. A subgroup of 10 participants will also be invited to take part in an online interview about their experiences with the predictive features.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
89

participants targeted

Target at P50-P75 for not_applicable

Timeline
1mo left

Started Feb 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress90%
Feb 2026Oct 2026

Study Start

First participant enrolled

February 1, 2026

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

September 5, 2026

Completed
6 days until next milestone

First Posted

Study publicly available on registry

September 11, 2026

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 31, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 31, 2026

Last Updated

September 11, 2026

Status Verified

September 1, 2026

Enrollment Period

9 months

First QC Date

September 5, 2026

Last Update Submit

September 5, 2026

Conditions

Keywords

Accu-Chek SmartGuide CGMPredict App solutionDiabetes MellitusFear of HypoglycemiaContinuous glucose monitoring system

Outcome Measures

Primary Outcomes (1)

  • Fear of hypoglycemia (HFS-II)

    Within-person change in fear of hypoglycemia from baseline to follow-up, assessed via the Hypoglycemia-Fear Survey II questionnaire

    At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)

Secondary Outcomes (10)

  • Overall sleep quality (PSQI)

    At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)

  • Hypoglycemia confidence (HCS)

    At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)

  • Diabetes distress (DDS)

    At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)

  • Diabetes Empowerment (DES-SF)

    At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)

  • Daily sleep quality

    14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)

  • +5 more secondary outcomes

Study Arms (2)

SmartGuide CGM without Predict App

ACTIVE COMPARATOR
Device: SmartGuide CGM without Predict App

SmartGuide CGM with Predict App

EXPERIMENTAL
Device: SmartGuide CGM with Predict App

Interventions

SmartGuide CGM without Predict App Accu-Check SmartGuide CGM solution will be tested without the prediction function

Also known as: continuous glucose monitoring without predictive algorithm, CGM without predictive algorithm, Accu-Check SmartGuide CGM without Predict App
SmartGuide CGM without Predict App

SmartGuide CGM + Predict App Accu-Check SmartGuide CGM solution will be tested with the added benefit of the prediction function

Also known as: continuous glucose monitoring with predictive algorithm, CGM with predictive algorithm, Accu-Check SmartGuide CGM and Predict App
SmartGuide CGM with Predict App

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Type 1 diabetes or Type 2 diabetes with intensified insulin therapy (defined as basal-bolus therapy with self-adjustment of bolus doses)
  • CGM use during the past 3 months (without predictive features)
  • Age ≥ 18 years
  • HbA1c \< 10%
  • Informed consent

You may not qualify if:

  • Use of the SmartGuide CGM solution
  • AID use
  • Current treatment with psychiatric medications
  • Diabetes duration \< 3 months
  • Current or planned pregnancy
  • Peripheral neuropathy that will impact sleep quality according to the judgement of the participant
  • Severe complications (e.g. kidney disease, cancer)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fidam Rdc

Bad Mergentheim, Baden-Wurttemberg, 97980, Germany

RECRUITING

Related Publications (3)

  • Ehrmann D, Laviola L, Priesterroth LS, Hermanns N, Babion N, Glatzer T. Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction. J Diabetes Sci Technol. 2024 Sep;18(5):1027-1034. doi: 10.1177/19322968241267886. Epub 2024 Aug 19.

    PMID: 39158974BACKGROUND
  • Glatzer T, Ehrmann D, Gehr B, Penalba Martinez MT, Onvlee J, Bucklar G, Hofer M, Stangs M, Wolf N. Clinical Usage and Potential Benefits of a Continuous Glucose Monitoring Predict App. J Diabetes Sci Technol. 2024 Sep;18(5):1009-1013. doi: 10.1177/19322968241268353. Epub 2024 Aug 19.

    PMID: 39158995BACKGROUND
  • Hussain S, Polonsky W, Scibilia R, Glatzer T. Beyond the Trend Arrow: Potential Value of Artificial Intelligence-Supported Glucose Predictions for People with Type 1 Diabetes Using Continuous Glucose Monitoring Systems. Diabetes Technol Ther. 2025 Nov;27(11):943-949. doi: 10.1089/dia.2025.0293. Epub 2025 May 29.

    PMID: 40441551BACKGROUND

MeSH Terms

Conditions

Diabetes MellitusDiabetes Mellitus, Type 2Diabetes Mellitus, Type 1Sleep Initiation and Maintenance Disorders

Interventions

Continuous Glucose Monitoring

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System DiseasesSleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System DiseasesMental Disorders

Intervention Hierarchy (Ancestors)

Blood Chemical AnalysisClinical Chemistry TestsClinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisDiagnostic Techniques, EndocrineMonitoring, PhysiologicInvestigative Techniques

Central Study Contacts

Dominic Ehrmann, Prof. Dr.

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Sponsor Type
NETWORK
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Prof. Dr.

Study Record Dates

First Submitted

September 5, 2026

First Posted

September 11, 2026

Study Start

February 1, 2026

Primary Completion (Estimated)

October 31, 2026

Study Completion (Estimated)

October 31, 2026

Last Updated

September 11, 2026

Record last verified: 2026-09

Locations