- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07814508
Changes in Person-reported Outcomes and Behavior Using the Accu-Chek SmartGuide CGM and Predict App
Changes in Person-reported Outcomes and Behavior Due to a Predictive Algorithm: A Pre-post Trial With the Accu-Chek SmartGuide CGM and the Predict App Solution
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.
연구 개요
상태
정황
상세 설명
Continuous glucose monitoring (CGM) is widely used by people with insulin- treated diabetes to monitor glucose levels and support daily diabetes management. The Accu-Chek SmartGuide CGM system provides continuous glucose measurements and includes predictive features that are intended to provide information about possible future glucose trends.
This study will investigate the use of the Accu-Chek SmartGuide with and without these predictive features in adults with type 1 diabetes or type 2 diabetes treated with intensified insulin therapy. The study will be conducted remotely in Germany through the dia*link online panel. No in-person study visits are planned.
Participants will use the Accu-Chek SmartGuide CGM system for a total of 6 weeks. The study consists of two consecutive phases. During the first 2 weeks, participants will use the Accu-Chek SmartGuide CGM without the Predict App and therefore without the predictive features. This phase provides a period in which CGM data and self-reported outcomes can be assessed before the predictive features are introduced. After 2 weeks, participants will receive training on the Predict App and begin a 4-week period using the Accu-Chek SmartGuide together with the Predict App.
Participants will complete online questionnaires at the end of the first 2 weeks and at the end of the 6-week study period. The questionnaires assess fear of hypoglycemia, sleep quality, confidence in preventing hypoglycemia, diabetes- related distress, and diabetes empowerment.
During the first 2 weeks and the last 2 weeks of the study, participants will also complete short ecological momentary assessment (EMA) questionnaires twice daily using a smartphone app. The morning assessment asks about sleep quality and confidence in preventing hypoglycemia. The evening assessment asks about the use and evaluation of CGM functions, including trend arrows, alarms, and predictive features. Participants will also be asked about possible therapy adjustments, satisfaction with the CGM functions, and diabetes- related distress, including distress related to hypoglycemia, hyperglycemia, and glucose variability.
CGM data will be collected throughout both study phases. These data will include measures such as time in glucose ranges, hypoglycemia, hyperglycemia, glucose variability, and mean glucose levels. The study will assess changes in these measures between the two study phases.
The primary outcome is the change in fear of hypoglycemia during the 4-week period in which participants use the Accu-Chek SmartGuide together with the Predict App. Secondary outcomes include changes in other psychosocial outcomes, diabetes-related behaviors, use and evaluation of CGM alarms and trend arrows, and CGM-derived glucose measures.
In addition, a subgroup of 10 participants will be invited to take part in a semi-structured online interview after completing the study. The interviews will explore participants' experiences with the predictive features, their confidence and trust in these features, perceived benefits in everyday diabetes management, and suggestions for improvement. Participants will be selected to achieve a balanced representation with regard to age, sex, and type of diabetes.
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Dominic Ehrmann, Prof. Dr.
- 전화번호: +49 7931 96192 42
- 이메일: ehrmann@fidam.de
연구 장소
-
-
Baden-Wurttemberg
-
Bad Mergentheim, Baden-Wurttemberg, 독일, 97980
- 모병
- Fidam Rdc
-
연락하다:
- Dominic Ehrmann, Prof. Dr.
- 전화번호: +49 7931 96192 42
- 이메일: ehrmann@fidam.de
-
-
참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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)
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 치료
- 할당: 무작위화되지 않음
- 중재 모델: 단일 그룹 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
|
활성 비교기: SmartGuide CGM without Predict App
|
SmartGuide CGM without Predict App Accu-Check SmartGuide CGM solution will be tested without the prediction function
다른 이름들:
|
|
실험적: SmartGuide CGM with Predict App
|
SmartGuide CGM + Predict App Accu-Check SmartGuide CGM solution will be tested with the added benefit of the prediction function
다른 이름들:
|
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Fear of hypoglycemia (HFS-II)
기간: At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
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)
|
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Overall sleep quality (PSQI)
기간: At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
Changes will be analyzed using a questionnaire
|
At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
|
Hypoglycemia confidence (HCS)
기간: At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
Changes will be analyzed using a questionnaire
|
At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
|
Diabetes distress (DDS)
기간: At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
Changes will be analyzed using a questionnaire: Diabetes distress (DDS: total score + subscale scores), Hypoglycemia-related distress, Powerlessness
|
At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
|
Diabetes Empowerment (DES-SF)
기간: At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
Changes will be analyzed using a questionnaire
|
At baseline (after 2 weeks from enrollment) and at follow-up (after 4 weeks from baseline)
|
|
Daily sleep quality
기간: 14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
Changes will be analyzed on a daily level using Ecological Momentary Assessment (EMA)
|
14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
|
Avoidance of hypos
기간: 14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
Changes will be analyzed on a daily level using Ecological Momentary Assessment (EMA)
|
14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
|
Time with diabetes and glycemic-specific distress
기간: 14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
Changes will be analyzed on a daily level using Ecological Momentary Assessment (EMA)
|
14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
|
Changes in behavior
기간: 14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
Use of and reaction to trend arrows, Use of and reaction to glucose alarms, Settings of glucose alarms, Use of and reaction to predictive features
|
14 days after enrollment and 14 days before study end with two prompts per day (morning & evening)
|
|
Changes in glycemic outcomes
기간: From enrollment to the end of the study at 6 weeks
|
% 70-180 mg/dl, % 70-140 mg/dl, % < 70 mg/dl, % > 180 mg/dl, % < 54 mg/dl, % > 250 mg/dl, Glucose variability (Coefficient of variation), Mean glucose
|
From enrollment to the end of the study at 6 weeks
|
|
Personal experiences
기간: After the study period of 6 weeks
|
Qualitative interviews to gain deeper insights into the personal experiences, expectations, handling, perceived advantages and disadvantages, wishes, etc. of users
|
After the study period of 6 weeks
|
공동 작업자 및 조사자
스폰서
간행물 및 유용한 링크
일반 간행물
- 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.
- 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.
- 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.
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- FIDAM-IIS-2501
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .