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Insulclock® is a small electronic device developed to facilitate the optimal administration of insulin. This device works as an add-on module of commercially available insulin pens and monitors the date, time and dose of injections, the type of insulin injected, the duration of injections and insulin temperature. The Insulclock 360 app allows automatic data logging, report generation and reminder setting, among other functions. In this study, we pretend to show the clinical impact of Insulclock system, both device and mobile application, on glycemic indices, treatment compliance, and quality of life in patients with persistent poorly controlled T1DM.
Material and methods: Randomized open-label multicenter controlled trial to evaluate glycemic control, the number of missed and delayed insulin doses, and quality of life after seven weeks of Insulclock 360 use in participants with uncontrolled DM1. We will also compare these results between patients with or without receiving system reminders and alerts.
This study aims to assess the effect of Insulclock on glycemic control, treatment adherence, and quality of life. As a secondary objective, we will compare the study outcomes between participants in the Active and Masked Insulclock groups (i.e., with or without receiving alerts and reminders and accessing the app).
To assess glycemic control, we will measure HbA1C and glycemic indices. Glycemic variability indices will be monitored with the FreeStyle Libre™ and included glucose coefficient of variation (CV), standard deviation (SD), time in range (TIR), time above range (TAR), and time below range (TBR). Mean glucose levels will be obtained from 48-h time intervals with the FreeStyle Libre.
A late meal bolus (mistimed) will be considered when Insulclock detects the injection at least 30 minutes after the CGM rise. To identify meal glucose excursions, we will use the Glucose Rate Increase Detector (GRID) algorithm, which estimates the rate of change (ROC) of glucose from CGM data.
Participants will complete the ITSQ and the DTSQ, which are validated questionnaires to assess the diabetes treatment satisfaction.
Full description
Study design:
This multicentric randomized open-label study will be conducted at the Hospital General de Segovia (Segovia, Spain), Hospital de Cruces (Bilbao, Spain), Hospital Arquitecto Marcide (Ferrol, A Coruña, Spain) and Hospital Central de Asturias (Oviedo, Spain) after classification by the Spanish Agency for Medicines and Health Products (AEMPS) and ethical approval by the Ethics Review Committee of each research center. The study will be conducted in compliance with the ethical principles of the Declaration of Helsinki. Each participant will provide written informed consent before being included in the study.
The study is scheduled across seven visits. At Visit 1 (Screening, Week -1), demographic and clinical information will be collected, and concomitant medications will be registered. All potential study patients will be screened for eligibility after signing the informed consent form (ICF) and will be assigned with a patient identification number. Laboratory evaluations (HbA1c, serum chemistry) must be available within the last 2 months. An identification number will be assigned to each participant At Visit 2 (Run-in, week 0), participants will receive information on the use of the Insulclock device and app on masked mode (excluding the use of Insulclock 360 app information and alarms). If the participant does not use a CGM: a healthcare professional applies the FreeStyle Libre sensor to the back of the upper arm and activates it. If the participant already uses a CGM system, the patient will be encouraged to use sensors during this period.
At Visit 3 (First Visit CGM 1, week 1) and Visit 4 (Follow-up, week 3), participants will be encouraged to use the system At Visit 5 (Visit Starting CGM 2 and Randomization, week 4) participants will be randomized (1:1) to the Active Insulclock group or the Masked Insulclock group. Participants randomized in the Insulclock Active Group will receive detailed instructions on using the Insulclock device and Insulclock 360 mobile application and will be instructed and motivated for full use of all system functions (alarms, messages to the caregivers and investigation team). Participants randomized in the Insulclock Masked Group will be instructed on the correct installation and use of the Insulclock system for recording insulin bolus information but they will not receive any other information and will not have access to the Insulclock 360 application from the Internet and will keep administering insulin treatment as before. A healthcare professional will apply a FreeStyle Libre sensor to the upper arm in all the participants who do not use a CGM and will be encouraged to wear the sensor for 2 weeks. Participants who already use a CGM system will be encouraged to use sensors during this period.
At Visit 6 (Final Visit CGM 2 and Randomization, week 6). Participants will receive a reminder on the use of Insulclock according to the corresponding group.
At Visit 7 (Final Visit, week 7) the mobile application diaries will be collected and reviewed. Participants will receive to fill in the Insulin Treatment Satisfaction Questionnaire (ITSQ) and the Diabetes Treatment Questionnaire (DTSQ).
Study population Investigators will include 80 participants aged 18-80 years with uncontrolled T1DM who provide written informed consent. Persistent uncontrolled T1DM was defined as HbA1C levels ≥6.5% for at least 1 year, and/or variations ≥1% in HbA1C within the previous 2 years and attending regular (more than 2 per year) follow-up visits at the Endocrinology department. Investigators will exclude pregnant or breastfeeding women, individuals with a history of or current alcohol or drug abuse, acute infection, cognitive decline or dementia, or any illness or condition that could interfere with the trial.
Study devices:
Insulclock is a small electronic device that works as an add-on module of insulin pens. This device can record the dose and time of insulin injected, register temperature changes of insulin pens, record the duration of an injection, and the specific insulin pen used. In the present study, participants self-administer insulin with pens coupled to Insulclock and according to routine clinical practice. By means of acoustic and visual alarms, participants receive information for a correct injection technique (an alert if the injection time was <6 seconds) or to prevent stacking insulin (an alert if a previous injection was done within the 2 previous hours).
The Insulclock device is synchronized with the Insulclock 360 app for the automatic logging of patient data. The Insulclock 360 app also has a reminder function to promote the timely administration of insulin doses. Users can also receive customized tips on DM management with the "my tutors" tool and obtain information on DM topics. Insulclock 360 app is compatible with Apple and Android operating systems.
In the Active group, participants will receive acoustic and visual alarms, device-related information and will have access to the Insulclock 360 app. In the Masked group, participants know the dose, time and duration of injections, but these participants will not receive any reminder and will be masked to the Insulclock 360 app.
Participants will use the Freestyle Libre (Abbott Diabetes Care, Witney, Oxon, UK) for the continuous monitoring of glucose levels. This flash continuous monitoring system is to be worn on the upper arm and does not require capillary glucose concentrations for calibration. The sensor automatically records glucose data every 15 minutes for 14 days.
Statistical Analysis The proposed statistical analysis methods constitute a synthesis of the methods to be used in this study to apply them to the data collected and respond to the general objective and the specific objectives.
Data from all participants included in the study, who meet the selection criteria, will be analyzed. Data in absentia will not be charged and will be considered as lost.
A general description of the variables included in the study will be made. The absolute and relative frequency distributions of the qualitative variables will be presented by investigators, as well as the measures of central tendency and dispersion (mean, standard deviation, median, minimum and maximum) of the quantitative variables. The confidence intervals will be presented at 95% for the main quantitative outcome variables associated with the main objective and the main secondary variables.
The data corresponding to the variables included in the main objective will be descriptively analyzed.
Investigators will use the SPSS software Version 17.0. to perform the analysis. The hypothesis tests that are carried out will be in all bilateral cases and with a significance level of 0.05. For variables that do not fit the normal distribution(or parametric), the Mann Whitney hypothesis tests will be used (for unpaired data). The chi-square test (or Fischer's exact test when appropriate) will be used for the analysis of contingency tables as well as for the comparison of proportions and/or frequency distributions.
Enrollment
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Volunteers
Inclusion criteria
age range: 14 to 80 years
DM1 diagnosed
Patients with type 1 diabetes and poor glycemic control, defined as:
Signed informed consent form
Ability of the subjects to use the system and fill the included questionnaires
Ability and willingness of following and be compatible with the protocol of the clinical trial
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
80 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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