Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| University of Warwick | OTHER |
| Biosistemak Institute for Health Systems Research | OTHER |
| Medixine | UNKNOWN |
| SRDC |
Not provided
Not provided
Not provided
Not provided
To assess the acceptability of a personalised ICT tool that facilitates coordinated care planning, treatment optimisation and patient self-management for patients with multiple long term conditions and their team of health professionals.
C3-CLOUD is a 4 year research project (information technology trial) funded by the EC to develop, pilot & evaluate a new clinical IT system to improve the management of elderly patients with multi-morbidity & poly-pharmacy. It will optimise patient education & self-management and foster closer collaborative working and shared decision making between healthcare professionals & patients using electronic multi-disciplinary care plans.
The main research question is - "Is the use of a personalised ICT tool that facilitates coordinated care planning, treatment optimisation and patient self-management acceptable to patients with multiple long term conditions and their team of health professionals?".
The 1st phase has focused on the development & testing of the system. The 2nd phase will involve a 12 month pilot (Feb 17-Jan 18) with max 602 patients (+/- the support of their informal care givers), and a minimum of 62 healthcare professionals in 3 European pilot sites in the UK, Sweden & Spain. An evaluation will be conducted using healthcare/treatment data & the completion of questionnaires by the study participants.
The C3-Cloud project structure is as follows:- Funded by the EC; Co-ordinated by Warwick University; 12 European partners involved, supplying technical, clinical & research expertise. These partners are based in the UK, Spain, Sweden, France, Turkey, Finland & Germany; and 3 European pilot sites involved in the study - Basque Country in Spain, Region Jamtland in Sweden and South Warwickshire in the UK.
The C3-CLOUD system consists of the following 2 integrated components. (i) C3DP - this component will be used by healthcare professionals in all 3 pilot sites to manage the care of the study patients. This system records e.g. patient identifiers, contact information, diagnoses, medication, treatments, encounters, risk factors, goals & activities for the patients etc. It also provides professionals with a clinical decision support module. (ii) a Patient Empowerment Platform (PEP) - used by patients (& carers where applicable) so that they can view & update their care plan. Patients can record information about themselves, their condition and their care, can view training materials & upload readings such as blood pressure etc. PEP also automatically takes information from the C3DP system above.
The study is aiming to recruit a minimum of 602 patients to the C3-CLOUD pilot study across all 3 pilot sites. Informed consent to participate in the study will be obtained. The patients must be aged 55+ and have at least 2 or more of the following chronic diseases - diabetes type 2, mild to moderate heart failure, moderate kidney failure and mild to moderate depression. They must also have a sufficiently high level of IT understanding and access to a suitable device/the internet, or must nominate a carer, family member or friend who does.
The patients who are recruited will receive care and treatment using the C3-CLOUD system and will have identifiable data collected about them by healthcare professionals in C3DP, and will use, and provide information about themselves, in the PEP system.
A separate cohort of max 602 patients will be identified retrospectively from local health records at the end of the study to create a 'control' group. These patients will match the same inclusion criteria. However, this control group will have no active role in the study and only their anonymised data will be utilised so that resource utilisation, medication use etc, can be compared for the two groups over the same period.
In the UK, the system will be used by a cross-section of healthcare professionals (minimum 62) across the 3 pilot sites. These will be the healthcare professionals who are most likely to be involved ordinarily in treating the patients during the study.
In addition to the clinical data captured above, the intervention group patients, their carers and the healthcare professionals involved in the project will participate in a series of system/project evaluations before, during and after the study. This will be done through anonymised questionnaires.
Healthcare utilisation & outcome data will be collected about intervention AND control group patients from local health records systems in an anonymised format. Evaluation data for the intervention group patients will also be extracted from the C3-Cloud system itself in an anonymised format.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention Group | Experimental | Use of the C3-Cloud IT system |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Use of the C3-Cloud IT system | Device | Patients who are recruited to the intervention arm will use the C3-Cloud system during the pilot study. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Acceptability & usefulness of the C3-Cloud system | This is qualitative research so the primary outcome measure will be the acceptability and usefulness of the technology by patients, informal care givers and health & care professionals. The UTAUT questionnaire (Unified Theory of Acceptance and User of Technology) will be performed to determine C3-Cloud user responses along the following UTAUT categories: performance expectancy, effort expectancy, social influence, cultural and language factors, technology anxiety, adoption timeline and associated facilitating conditions on the intended adoption behaviour. The questionnaire will be performed online and data will be aggregated completely anonymously using the online questionnaire platform "LimeSurvey", hosted on servers of empirica. The ordinal responses (e.g. "I strongly disagree" or "I strongly agree") are clustered along the UTAUT categories analsed anonymously. | 12 months |
Not provided
Not provided
PATIENTS - Inclusion Criteria:-
PATIENTS - Exclusion Criteria:-
•The exclusion criteria include almost completely the reverse of the inclusion criteria. Patients are not eligible for recruitment if:-
Patients with further chronic diseases and other co-morbidities or symptoms, for example, frailty, sleeping problems, malnourishment or anxiety, will not be excluded from recruitment. Informal caregivers who pass the ICT Handling Self-Check can substitute for the patient if the patient does not pass the ICT Handling Self-Check - the patient-informal caregiver pair can then still be recruited.
PATIENT'S HELPERS/CARERS - Exclusion Criteria:-
There are no specific inclusion criteria for informal caregivers. However, the following exclusion criteria apply:-
HEALTHCARE PROFESSIONALS - Inclusion Criteria:-
HEALTHCARE PROFESSIONALS - Exclusion Criteria:-
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Theodoros N. Arvanitis | Contact | +44 (0)24 7615 1601 | T.Arvanitis@warwick.ac.uk | |
| Sarah Lim Choi Keung | Contact | +44 (0)247 657 3776 | S.N.Lim-Choi-Keung@warwick.ac.uk |
| Name | Affiliation | Role |
|---|---|---|
| Theodoros N. Arvanitis | University of Warwick | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Osakidetza | Not yet recruiting | Vitoria-Gasteiz | Araba | 01006 | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35830239 | Derived | von Tottleben M, Grinyer K, Arfa A, Traore L, Verdoy D, Lim Choi Keung SN, Larranaga I, Jaulent MC, De Manuel Keenoy E, Lilja M, Beach M, Marguerie C, Yuksel M, Laleci Erturkmen GB, Klein GO, Lindman P, Mar J, Kalra D; C3-Cloud Research Team; Arvanitis TN. An Integrated Care Platform System (C3-Cloud) for Care Planning, Decision Support, and Empowerment of Patients With Multimorbidity: Protocol for a Technology Trial. JMIR Res Protoc. 2022 Jul 13;11(7):e21994. doi: 10.2196/21994. |
| Label | URL |
|---|---|
| C3-Cloud Website | View source |
Not provided
Only anonymised, aggregated data will be shared with researchers.
Not provided
Not provided
Not provided
Not provided
| Type | Date | Date Unknown |
|---|---|---|
| Release | Jun 22, 2021 | |
| Reset | Jul 13, 2021 |
Not provided
| UNKNOWN |
| Institut National de la Santé Et de la Recherche Médicale, France | OTHER_GOV |
| Eurorec | UNKNOWN |
| Empirica | UNKNOWN |
| Ă–rebro University, Sweden | OTHER |
| Osakidetza | OTHER |
| Region Jämtland Härjedalen | OTHER |
| Cambio Healthcare | UNKNOWN |
A single intervention group that will use and evaluate the C3-Cloud system during the 12 month study. Please note that an anonymous group of patients meeting the same criteria will be identified retrospectively at the end of the study so that healthcare resource utilisation during the same period can be compared.
Not provided
Not provided
Not provided
Not provided
| Region Jamtland Harjedalen | Recruiting | Ă–stersund | S-831 27 | Sweden |
|
| South Warwickshire NHS Foundation Trust | Not yet recruiting | Warwick | Warwickshire | CV34 5BW | United Kingdom |
|
Not provided
| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Jun 22, 2021 | Jul 13, 2021 |
| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| D051437 | Renal Insufficiency |
| D006333 | Heart Failure |
| D003863 | Depression |
| D002908 | Chronic Disease |
| D010358 | Patient Participation |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
Not provided
Not provided