ClinicalTrials.gg
CompletedNCT05648383DigiCare4YouUpdated Jun 9, 2026

Promote Health With Digital Tools Among Adults With Type 2 Diabetes/Prediabetes and/or Hypertension

An interventional study of mHealth self-management intervention and Standard care in Type 2 Diabetes, PreDiabetes and Hypertension, sponsored by Harokopio University. Completed at 4 sites in 4 countries. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-09.

Sponsored by Harokopio University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
1,215
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this hybrid type II effectiveness-implementation trial is to evaluate whether an intersectoral, digitally enabled, family-based intervention can prevent and manage type 2 diabetes mellitus (T2DM) and hypertension (HTN) in adults with intermediate hyperglycaemia or T2DM (with or without HTN), and improve growth outcomes in their children, across socioeconomically diverse communities in Albania, Bulgaria, Greece, and Spain.

The main questions it aims to answer are:

  • Does the DigiCare4You intervention reduce HbA1c levels in adults with T2DM compared to enhanced standard care?
  • Does the DigiCare4You intervention reduce fasting plasma glucose levels in adults with intermediate hyperglycaemia compared to enhanced standard care?
  • Does the DigiCare4You intervention improve BMI z-scores in children linked to enrolled parents compared to enhanced standard care?

Researchers will compare the DigiCare4You intervention group to the enhanced standard care group to see if combining structured counselling, digital self-management tools, and school/community reinforcement improves cardiometabolic outcomes in adults and growth outcomes in children beyond standard national guideline-based care.

Participants will:

  • Complete a two-stage screening procedure, including a digital risk questionnaire and a clinical assessment, to confirm eligibility
  • Attend structured assessment visits at regular intervals over 24 months, including anthropometric, biochemical, and blood pressure measurements
  • Receive (intervention group only) three intensive face-to-face counselling sessions in the first eight weeks, followed by ongoing digital self-management support through interoperable mobile health tools
  • Be encouraged to adopt healthier lifestyle behaviours as a family unit throughout the study period.
Read the detailed description

DigiCare4You is an EU-funded (Horizon 2020) hybrid type II effectiveness-implementation study conducted across four European countries: Albania, Bulgaria, Greece, and Spain. The study addresses a critical gap in chronic disease prevention by combining community-based screening with a digitally supported self-management intervention targeting adults at cardiometabolic risk and their families.

Background and rationale Type 2 diabetes mellitus (T2DM) and hypertension (HTN) are among the leading causes of preventable morbidity and mortality in Europe, disproportionately affecting socioeconomically vulnerable populations. Despite their high burden, early detection and sustained management remain inconsistently delivered, particularly among groups with limited engagement in preventive healthcare. DigiCare4You was designed to address this through an equity-focused, scalable model that integrates screening, prevention, and long-term self-management support within existing health and educational infrastructures.

Study design The study uses a cluster-randomised design, with municipalities allocated 1:1 to either the DigiCare4You intervention arm or the enhanced standard care arm. Randomisation at the municipality level was chosen to minimise contamination between participants and to enable delivery through existing local healthcare and school structures.

Screening approach A novel two-stage screening procedure was embedded within existing national child growth monitoring services, using routine interactions between families and health or educational services as entry points to reach parents and caregivers who might otherwise have limited contact with preventive care. Stage 1 involved a digital self-reported risk questionnaire based on the FINDRISC score. Adults scoring ≥10 were referred to Stage 2, which included glycaemic testing, blood pressure measurement, and anthropometric assessment at local healthcare centres. Adults confirmed with intermediate hyperglycaemia or T2DM, with or without HTN, were invited to join the intervention.

Intervention The 24-month intervention combined structured face-to-face counselling with continuous digital self-management support. Counselling was guided by the Transtheoretical Model and incorporated established behaviour change techniques including self-monitoring, goal setting, barrier problem solving, relapse prevention, and self-efficacy enhancement, delivered through a shared decision-making approach. Three intensive counselling sessions were provided in the first eight weeks, followed by ongoing support through four interoperable digital tools (MetaDieta, MyDiet, MetaClinic, DiaWatch) supporting nutrition counselling, clinical monitoring, and medication adherence. School- and community-based components reinforced healthy behaviours within the broader family environment.

The intervention was delivered by existing multidisciplinary healthcare teams (internists, general practitioners, diabetologists, nurses, and dietitians) within primary care settings, trained using standardised materials and operating procedures. All digital tools are classified as medical devices under EU MDR 2017/745 and were adapted to each national context prior to deployment.

Enhanced standard care Participants in the enhanced standard care arm received structured assessment and care consistent with national clinical guidelines, including regular monitoring visits with anthropometric, biochemical, and blood pressure measurements and feedback, at intervals appropriate to their metabolic status (every 12 months for intermediate hyperglycaemia; every 3-6 months for T2DM).

Evaluation The study simultaneously evaluates clinical effectiveness and implementation outcomes using a mixed-methods approach guided by three complementary frameworks: PRECEDE-PROCEED, RE-AIM, and CFIR. Primary effectiveness outcomes are changes in HbA1c (T2DM subgroup), fasting plasma glucose (intermediate hyperglycaemia subgroup), and BMI z-scores in children. Implementation outcomes include reach, adoption, fidelity, feasibility, and sustainability. Economic evaluation includes cost-effectiveness and budget impact analyses using Markov modelling over a lifetime horizon.

Study structure The project spans five and a half years across three phases: Phase 1 (context analysis, needs assessment, and participatory co-design with stakeholder advisory boards); Phase 2 (intervention implementation and evaluation); and Phase 3 (cost-effectiveness, scalability, and transferability assessment). Findings are intended to inform evidence-based recommendations for scaling the DigiCare4You model across European health systems.

02

Conditions studied

  • Type 2 Diabetes
  • PreDiabetes
  • Hypertension
  • Obesity & Overweight

Keywords

  • community
  • primary healthcare
  • families
  • m-health application
  • diabetes
  • hypertension
  • screening
  • lifestyle intervention
  • self-management
  • people-centred care
  • scaling-up
03

In context

Diabetes Mellitus, Type 2

10,371 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,406 are open to participants now.

This study's enrollment of 1,215 is above the median of 80 across 8,350 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

Harokopio University is the lead sponsor of 66 studies on the registry; 9 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • People who have their permanent residence within the prefecture/region of the relevant facility participating in the clinical study.
  • People having children at primary and/ or secondary education.
  • People who are physically and mentally able to provide their to participate.
  • People with a FINDRISC ≥10
  • People with a fasting plasma glucose (FPG) ≥ 100 mg/dL and /or (HbA1c) ≥ 5.7%

Exclusion criteria

Exclusion Criteria:

  • People suffering from a health condition where adherence to the intervention will be or improbable.
  • People unable to express a free and for medical and/or psychological conditions, mental incapacity.
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,215 participants (actual)

Study arms

  • Experimental
    Intermediate hyperglycaemia DC4Y intervention group

    Participants will receive the mHealth intervention (use of mobile apps) and counseling sessions along with enhanced standard care

    Behavioral: mHealth self-management intervention

  • Experimental
    T2DM DC4Y intervention group

    Participants will receive the mHealth intervention (use of mobile apps) and counseling sessions along with enhanced standard care

    Behavioral: mHealth self-management intervention

  • Active comparator
    Intermediate hyperglycaemia enhanced standard care group

    Participants will receive enhanced standard care, including lifestyle recommendations

    Behavioral: Standard care

  • Active comparator
    T2DM enhanced standard care group

    Participants will receive enhanced standard care, including lifestyle recommendations

    Behavioral: Standard care

Interventions

  • BehavioralmHealth self-management intervention

    A 24-month mHealth self-management intervention combining structured face-to-face counselling (n=5-7) with continuous digital support. Counselling follows the Transtheoretical Model, incorporating self-monitoring, goal setting, barrier problem solving, relapse prevention, and self-efficacy enhancement via shared decision-making. Three additional intensive sessions are delivered in weeks 2, 4, and 8, followed by ongoing support through four interoperable digital tools, supporting nutrition counselling, clinical monitoring, blood glucose and blood pressure self-monitoring, and medication adherence. Delivery is by multidisciplinary primary care teams using standardised operating procedures. Intervention intensity and visit schedules differ by metabolic subgroup (intermediate hyperglycaemia vs T2DM).

  • BehavioralStandard care

    Participants will receive standard care, including lifestyle recommendations.

06

What researchers measure

Primary outcomes

  1. Change from Baseline in fasting plasma glucose [FPG] at 12 months (1st follow-up)

    Fasting plasma glucose \[FPG\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 12 months (1st follow-up) from baseline.

    Time frame: Baseline and 12 months (1st follow-up)

  2. Change from Baseline in fasting plasma glucose [FPG] at 24 months (2nd follow-up)

    Fasting plasma glucose \[FPG\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 24 months (2nd follow-up) from baseline.

    Time frame: Baseline and 24 months (2nd follow-up)

  3. Change from Baseline in glycated hemoglobin [HbA1c] at 12 months (1st follow-up)

    Glycated hemoglobin \[HbA1c\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 12 months (1st follow-up) from baseline.

    Time frame: Baseline and 12 months (1st follow-up)

  4. Change from Baseline in glycated hemoglobin [HbA1c] at 24 months (2nd follow-up)

    Glycated hemoglobin \[HbA1c\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 24 months (2nd follow-up) from baseline.

    Time frame: Baseline and 24 months (2nd follow-up)

Secondary outcomes

  1. Change from Baseline in blood pressure [BP] (both systolic and diastolic) at 12 months (1st follow-up)

    Blood pressure \[BP\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 12 months (1st follow-up) from baseline.

    Time frame: Baseline and 12 months (1st follow-up)

  2. Change from Baseline in blood pressure [BP] (both systolic and diastolic) at 24 months (2nd follow-up)

    Blood pressure \[BP\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 24 months (2nd follow-up) from baseline.

    Time frame: Baseline and 24 months (2nd follow-up)

  3. Change from Baseline in body weight [BW] at 12 months (1st follow-up)

    Body weight \[BW\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 12 months (1st follow-up) from baseline.

    Time frame: Baseline and 12 months (1st follow-up)

  4. Change from Baseline in body weight [BW] at 24 months (2nd follow-up)

    Body weight \[BW\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 24 months (2nd follow-up) from baseline.

    Time frame: Baseline and 24 months (2nd follow-up)

  5. Change from Baseline in waist circumference [WC] at 12 months (1st follow-up)

    Waist circumference \[WC\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 12 months (1st follow-up) from baseline.

    Time frame: Baseline and 12 months (1st follow-up)

  6. Change from Baseline in waist circumference [WC] at 24 months (2nd follow-up)

    Waist circumference \[WC\] is measured in participants with T2DM and in participants with intermediate hyperglycaemia at 24 months (2nd follow-up) from baseline.

    Time frame: Baseline and 24 months (2nd follow-up)

Other outcomes

  1. Change form Baseline in the BMI z-score of children at 12 months (1st follow-up)

    Although children will not directly receive any intervention, their BMI z-score will be calculated at 12 months (1st follow-up) of the intervention for both groups. Change = (Month 12 score - Baseline score)

    Time frame: Baseline and 12 months (1st follow-up)

  2. Change form Baseline in the BMI z-score of children at 24 months (2nd follow-up)

    Although children will not directly receive any intervention, their BMI z-score will be calculated at 24 months (2nd follow-up) of the intervention for both groups. Change = (Month 24 score - Baseline score)

    Time frame: Baseline and 24 months (2nd follow-up)

07

Study locations

4 sites
  • Universiteti i Mjekësisë
    Tirana, Rruga E Dibrës AL1005, Albania
  • Medical University of Varna
    Varna, Varna 9002, Bulgaria
  • Harokopio University
    Athens, Attica 17676, Greece
  • Universidad de Zaragoza
    Zaragoza, Zaragoza 50009, Spain
08

References and documents

Publications

  • Manios Y, Mavrogianni C, Lambrinou CP, Cardon G, Lindstrom J, Iotova V, Tankova T, Civeira F, Kivela J, Jancso Z, Shadid S, Tsochev K, Mateo-Gallego R, Rado S, Dafoulas G, Makrilakis K, Androutsos O; Feel4Diabetes-study group. Two-stage, school and community-based population screening successfully identifies individuals and families at high-risk for type 2 diabetes: the Feel4Diabetes-study. BMC Endocr Disord. 2020 Mar 12;20(Suppl 1):12. doi: 10.1186/s12902-019-0478-9. PubMed 32164646 ↗
  • Manios Y, Androutsos O, Lambrinou CP, Cardon G, Lindstrom J, Annemans L, Mateo-Gallego R, de Sabata MS, Iotova V, Kivela J, Martinez R, Moreno LA, Rurik I, Schwarz P, Tankova T, Liatis S, Makrilakis K. A school- and community-based intervention to promote healthy lifestyle and prevent type 2 diabetes in vulnerable families across Europe: design and implementation of the Feel4Diabetes-study. Public Health Nutr. 2018 Dec;21(17):3281-3290. doi: 10.1017/S1368980018002136. Epub 2018 Sep 12. PubMed 30207513 ↗
  • Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003 Mar;26(3):725-31. doi: 10.2337/diacare.26.3.725. PubMed 12610029 ↗
  • Mavrogianni C, Lambrinou CP, Androutsos O, Lindstrom J, Kivela J, Cardon G, Huys N, Tsochev K, Iotova V, Chakarova N, Rurik I, Moreno LA, Liatis S, Makrilakis K, Manios Y; Feel4Diabetes-study group. Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort. The Feel4Diabetes-study. Diabetes Res Clin Pract. 2019 Apr;150:99-110. doi: 10.1016/j.diabres.2019.02.017. Epub 2019 Feb 20. PubMed 30796939 ↗
  • Oldenburg B, Taylor CB, O'Neil A, Cocker F, Cameron LD. Using new technologies to improve the prevention and management of chronic conditions in populations. Annu Rev Public Health. 2015 Mar 18;36:483-505. doi: 10.1146/annurev-publhealth-031914-122848. Epub 2015 Jan 12. PubMed 25581147 ↗
  • O'Neil A, Cocker F, Rarau P, Baptista S, Cassimatis M, Barr Taylor C, Lau AYS, Kanuri N, Oldenburg B. Using digital interventions to improve the cardiometabolic health of populations: a meta-review of reporting quality. J Am Med Inform Assoc. 2017 Jul 1;24(4):867-879. doi: 10.1093/jamia/ocw166. PubMed 28339628 ↗
  • Siopis G, Moschonis G, Eweka E, Jung J, Kwasnicka D, Asare BY, Kodithuwakku V, Willems R, Verhaeghe N, Annemans L, Vedanthan R, Oldenburg B, Manios Y; DigiCare4You Consortium. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials. Lancet Digit Health. 2023 Mar;5(3):e144-e159. doi: 10.1016/S2589-7500(23)00002-X. PubMed 36828607 ↗
  • Moschonis G, Siopis G, Jung J, Eweka E, Willems R, Kwasnicka D, Asare BY, Kodithuwakku V, Verhaeghe N, Vedanthan R, Annemans L, Oldenburg B, Manios Y; DigiCare4You Consortium. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials. Lancet Digit Health. 2023 Mar;5(3):e125-e143. doi: 10.1016/S2589-7500(22)00233-3. PubMed 36828606 ↗
  • Willems R, Annemans L, Siopis G, Moschonis G, Vedanthan R, Jung J, Kwasnicka D, Oldenburg B, d'Antonio C, Girolami S, Agapidaki E, Manios Y, Verhaeghe N; DigiCare 4You. Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension. NPJ Digit Med. 2023 Aug 18;6(1):150. doi: 10.1038/s41746-023-00876-x. PubMed 37596488 ↗
  • Seghieri C, Ferre F, Tortu C, Bertarelli G, Mavrogianni C, Usheva N, Toti F, Moreno L, Agapidaki E, Manios Y. Addressing chronic diseases: a comparative study of policies towards type-2 diabetes and hypertension in selected European countries. Eur J Public Health. 2024 Aug 1;34(4):781-786. doi: 10.1093/eurpub/ckae070. PubMed 38573190 ↗
  • Tortu C, Seghieri C, Doracaj D, Usheva N, Gimenez-Legarre N, Manios Y. Understanding Health Care Workers' Attitudes and Preferences Toward Digital Patient Monitoring Platforms: Cross-Country Survey Study. JMIR Form Res. 2025 Sep 23;9:e67142. doi: 10.2196/67142. PubMed 40986459 ↗
  • Seghieri C, Feldens T, Tortu C, Usheva N, Toti F, Doracaj D, Gimenez-Legarre N, Karaglani E, Manios Y. Tailoring mobile health apps for lifestyle management: a discrete choice experiment. Mhealth. 2026 Jan 27;12:3. doi: 10.21037/mhealth-25-30. eCollection 2026. PubMed 41675093 ↗
  • Vitoratou DI, Dimakopoulou K, Mavrogianni C, Karaglani E, Argyropoulou M, Cardon G, Usheva N, Iotova V, Tankova T, Gimenez-Legarre N, Moreno LA, Toti F, Makrilakis K, Doracaj D, Imre R, Torzsa P, Lindstrom J, Panagiotakos D, Manios Y. The revised-FINDRISC: A tool for type 2 diabetes risk screening across diverse populations incorporating sociodemographic indicators. Ann Epidemiol. 2026 May;117:110064. doi: 10.1016/j.annepidem.2026.110064. Epub 2026 Mar 5. PubMed 41794157 ↗

Individual participant data

Plan to share: Yes — De-identified individual participant data (IPD) collected throughout the DigiCare4You trial will be shared with consortium partners and may be made available to external researchers upon reasonable request. Shared data will include participant-level clinical, anthropometric, biochemical, and behavioural data collected at baseline, 12 months, and 24 months, as well as implementation-related data. Data will be shared in accordance with the study's Data Management Plan, applicable data protection legislation (EU GDPR), and the ethical approvals granted in each participating country. Requests for access will be reviewed by the study coordination team at Harokopio University of Athens. Further details on data availability, access criteria, and supporting documentation (including data dictionaries and analysis code) will be made available upon publication of the primary results.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 9, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05648383
Lead sponsor
Harokopio University
Collaborators
Medical University of Varna, Centre for Research and Technology Hellas, University of Medicine, Tirana, La Trobe University, National and Kapodistrian University of Athens, NYU Langone Health, University Ghent, Universidad de Zaragoza, PRIVANOVA SAS, Monash University, METEDA SRL, Baker Heart and Diabetes Institute, Sant'Anna School of Advanced Studies, International Diabetes Federation, STICHTING INTERNATIONAL FOUNDATION FORINTEGRATED CARE, EUROPEAN UNION'S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME (Project Number: 945246)
Responsible party
Yannis Manios (Professor, Harokopio University) — Principal investigator
First posted
Dec 13, 2022
Start date
Oct 1, 2022
Primary completion
Dec 20, 2025
Completion
Dec 20, 2025
Last update
Jun 9, 2026

Study contacts

Yannis Manios, Professor
principal investigator · Harokopio University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion