Skip to content

Telemedicine Home-based Management in Patients With CHF and Type 2 Diabetes

Telemedicine Home-based Management in Patients With Chronic Heart Failure and Type 2 Diabetes: a Randomized Control Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05633784
Acronym
TELEMECHRON
Enrollment
163
Registered
2022-12-01
Start date
2022-08-18
Completion date
2024-09-30
Last updated
2024-11-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Heart Failure, Diabetes Mellitus

Keywords

telemedicine, case management, mobile technologies (mHealth), Physical activities, 6-min walking test, motivational feedback

Brief summary

The progressive ageing of the population of industrialized countries is accompanied by a dramatic increase in the prevalence of chronic multi-pathologies. In the general population, HF is associated with a higher prevalence of T2DM compared with patients without HF and with marked regional differences observed in Europe and the rest of the world. In clinical trials of chronic HF patients, the prevalence of T2DM is approximately 30% in patients with reduced or preserved ejection fraction and rises to as much as 45% in hospitalized patient registries. A complex drug regimen is often associated with low adherence in patients with HF and T2DM and poor adherence is associated with adverse clinical events. Similarly, adherence to recommendations regarding lifestyle changes, such as increasing physical activity, is often limited despite these changes' favourable effects on the patient. Therefore, interventions are needed to improve all these factors and optimize adherence. The inclusion of telemedicine (telenursing, telerehabilitation, mHealth) focused on health and correct behaviour can create opportunities to implement customized and scalable solutions in populations at risk. The project will aim to evaluate for patients with chronic diseases with a complex phenotype (heart failure and type II diabetes mellitus) the effectiveness of a remote surveillance program with particular attention to lifestyle changes.

Interventions

OTHERTeleassistance

Support the nursing case manager through a structured teleconsultation program (telephone and videoconference support at least once a week)

OTHERTeleconsultation

Cardiological and Diabetological teleconsultation at the beginning of the program and in case of need during the program.

OTHERTelerehabilitation

Support from a physiotherapist (if needed)

OTHERTelemonitoring

Telemonitoring of patient vital signs (eg single electrocardiographic trace) and delay steps

OTHERmHealth

The support of an App for recording and monitoring parameters: delay treatment, clinical parameters such as glycemia, blood pressure, HR, symptoms, etc.

OTHERtelepsycology

Psychological support (if necessary)

OTHERQuality of life

Minnesota LIVING WITH HEART FAILURE® Questionnaire (MLHFQ), Short Form Survey (SF-12) Questionnaire and Diabetes Quality of Life (DQoL) questionnaire

OTHERBiochemistry evaluation

Glycemia, glycated haemoglobin, total cholesterol, HDL and LDL, triglycerides, creatinine, BUN, creatinine clearance, BNP

OTHERClinical evaluation

6-minute-walking test, IMC, NYHA class, Ejection fraction

OTHERState of health of the patient

Severity Index and Comordbidity index

Sponsors

Azienda Ospedaliera Bolognini di Seriate Bergamo
CollaboratorOTHER
Papa Giovanni XXIII Hospital
CollaboratorOTHER
Istituti Clinici Scientifici Maugeri SpA
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Masking description

Consenting eligible patients were randomized to either an Intervention or a Control group (1:1). A computer (www.randomization.com) generated tables to allocate patients in fixed blocks of four. In order to prevent selection bias, the list of randomization will be managed by personnel not directly involved in the enrolment of the patient. Due to the nature of the intervention, neither the patients nor the physicians were blinded to patients' group allocation. However, outcome assessors and data analysts will be blinded to the allocation.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Inform consent * Age ≥ 18 years * Documented diagnosis of heart failure, NYHA class II-III (reduced or preserved Ejection fraction without hospitalization in the last 3 months * Diagnosis of Diabetes Mellitus Type II in pharmacological treatment from at least one month * Ability to walk without assistive devices * Consent to using a device (independently or with the support of a caregiver) for recording the single electrocardiographic trace at home * Consent to using the App

Exclusion criteria

* Subjects with poor collaboration * No possibility of using mobile technology * Life expectancy of fewer than 6 months * Medical issues that preclude participation in the program

Design outcomes

Primary

MeasureTime frameDescription
Change in tolerance capacityBaseline and 6 monthsThe change from baseline in tolerance capacity will be measured by walking test performance (meters walked).

Secondary

MeasureTime frameDescription
Number of StepsBaseline and 6 monthsThe difference in the weekly mean in the number of steps from baseline over the 6 months of follow-up.
HbA1c dosageBaseline and 6 monthsChange of the disease status
Change in quality of life related to heart failureBaseline and 6 monthsChange in quality of life measured by Minnesota Living with Heart Failure (MLHFQ) questionnaire
Change of hospitalizations6 monthsChange of hospitalizations for cardiovascular problems, diabetes and all-causes
Change in quality of lifeBaseline and 6 monthsChange in quality of life measured by 12-item Short Form Survey (SF-12) questionnaire
Assessment of physical activity.Baseline and 6 monthsChange in physical activity profile by Physical Activity Scale for the Elderly (PASE). The total PASE score is computed by multiplying the amount of time spent on each activity (hours/week) or participation (yes/no) in an activity by the empirically derived item weights and summing overall activities.
Change in quality of life related to DiabetesBaseline and 6 monthsChange in quality of life measured by Diabetes quality of life (DQoL) questionnaire

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026