A Federated Collaborative Care Cure Cloud Architecture for Addressing the Needs of Multi-morbidity and Managing Poly-pharmacy
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 672
- 试验地点
- 3
- 主要终点
- Acceptability & usefulness of the C3-Cloud system
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 55 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •PATIENTS - Inclusion Criteria:-
- •They are aged 55 or older
- •They are multimorbid patients that suffer from two or more of the following four conditions in various disease combinations (two conditions set as the minimum threshold):-
- •Diabetes type 2
- •Renal Failure with eGFR/GFR 30 - 59 (measured or estimated glomerular filtration rate)
- •Heart Failure in compliance with NYHA I-II (New York Heart Association classification of heart failure)
- •Mild or moderate depression
- •They still live and generally plan on living in their home (or in the community) for the 12-month trial duration.
- •They or their informal caregiver pass the ICT Handling Self-Check (see Deliverable D10.4, Annex 8.3) (i.e. they have access to and some familiarity with the use of ICT).
- •They, or their informal caregiver, have stable access to the internet and at least one of the following devices readily available to use the C3-Cloud components: Computer; Notebook; Smartphone; Tablet. This includes the use of Internet Browsers to open the C3-Cloud patient dashboards online.
- •They are able to provide informed consent.
排除标准
- •The exclusion criteria include almost completely the reverse of the inclusion criteria. Patients are not eligible for recruitment if:-
- •They are aged 54 or below
- •They suffer from any of the following conditions:
- •Severe Renal Failure with eGFR/GFR <30
- •Severe Heart Failure in compliance with NYHA III-IV
- •Severe depression
- •They have other debilitating conditions that impair their decision making capability or their life expectancy (e.g. end-of-life patients or cancer patients)
- •They or their informal caregivers do not pass the ICT Handling Self-Check (i.e. they do not have access to suitable IT devices and do not have some familiarity with the use of ICT).
- •They have disabilities or other health conditions that would prevent their active involvement in the study project or which prevent them from carrying out essential functions of the trial.
- •They live in a care institution, for instance in a residential home or nursing home.
- •Their health care expenses are covered by a private insurance: in the C3-Cloud pilot sites, private insurances have no data exchange with EHRs.
- •They do not speak the regional language: English for SWFT; Spanish for the Basque country; Swedish for RJH
- •They are unable to provide informed consent for study participation.
- •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:-
- •They are aged 17 or below
- •They do not have some familiarity with the use of ICT or do not have the capability to help the patient out with ICT usage if necessary.
- •They do not have stable access to the internet and at least one of the following devices readily available to use the C3-Cloud components: Computer; Notebook; Smartphone; Tablet. This includes the use of Internet Browsers to open the C3-Cloud patient dashboards online.
- •They are not available most of the time in person or via telephone, email, SMS or other means as to respond to calls for help.
- •They have debilitating conditions that impair their decision-making capability.
- •They do not speak the local language: English for SWFT; Spanish for the Basque country; Swedish for RJH
- •HEALTHCARE PROFESSIONALS - Inclusion Criteria:-
- •normally be involved in the selected patients care
- •open to new ways of working, specifically as part of a MDT (including GPs; consultant nurses or specialist nurses; district nurses; social workers; consultants; physiotherapists or pharmacists)
- •open to the use of new technology: MDT members do not have to be technologically knowledgeable but they should be willing to learn how to use technology to support their work.
- •HEALTHCARE PROFESSIONALS - Exclusion Criteria:-
- •None specific. Reverse of the above
研究组 & 干预措施
Intervention Group
Use of the C3-Cloud IT system
干预措施: Use of the C3-Cloud IT system (Device)
结局指标
主要结局
Acceptability & usefulness of the C3-Cloud system
时间窗: 12 months
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.
次要结局
未报告次要终点
研究者
Dr Christopher Marguerie
Consultant Rheumatologist/Associate Medical Director for Research
South Warwickshire NHS Foundation Trust