- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05681065
Affective Based Integrated Care for Better Quality of Life.Pilot Implementation. Site1: Primary Care Madrid, Spain. (TeNDER_Site1)
Affective Based Integrated Care for Better Quality of Life (TeNDER).Pilot Implementation. Site 1: Primary Care Madrid, Spain.
Objective: To evaluate the effectiveness of the TeNDER tool compared to usual practice in improving Quality of Life in patients with chronic diseases, according to type of disease and gender.
Methodology:
Design: randomised, open-label, multicentre, parallel-group clinical trial with 2-month follow-up.
Setting: health centres, homes, hospitals, socio-health centres and patient associations belonging to the participating countries.
Population: Patients with chronic diseases such as Parkinson's disease (PD), Alzheimer's disease or other dementias (AD) and cardiovascular disease (CVD); their caregivers and social-health professionals will be studied.
Sample size: n= 1,766 patients (1031 control/735 intervention).
Variables: The main outcome variable is the change in patient quality of life Short Form-36 Health Survey (SF-36). In addition, sociodemographic variables, technological affinity, usability, satisfaction and potential reductions in visits to health services after the intervention were collected in all study subjects. The change in patient autonomy after the intervention, the change in caregiver satisfaction with the care provided and the change in work overload in professionals were also studied.
Analysis: A descriptive analysis will be performed, a comparison of groups will be made at T1, a mean difference of global QoL and by dimensions will be calculated at T2 with its 95% Confident Interval (CI). For the main outcome, a multilevel linear regression model will be used with the dependent variable being the Quality of Life score at 60 days (T2) and the independent variable the group to which it belongs (control / TENDER) adjusted for possible confounding variables and/or effect modifiers. One model will be fitted for men and one for women. An intention-to-treat analysis will be performed.
Study Overview
Detailed Description
Hypothesis and Objective
Operational hypothesis: The use of the TeNDER tool by patients with chronic diseases increases their Quality of Life, as measured by the Short Form-36 Health Survey (SF-36), by at least 6 points, compared to usual practice.
Primary Aim: To evaluate the effectiveness of the TeNDER tool compared to usual practice in improving Quality of Life in patients with chronic diseases.
Secondary objectives:
- To evaluate the effectiveness of the TeNDER tool compared to usual practice in improving Quality of Life according to type of illness and gender.
- To evaluate the effectiveness of the TeNDER tool on caregiver overload.
- To describe the adherence and satisfaction of patients, carers and professionals with the TeNDER tool.
Methodology
Design: randomised, open-label, multicentre, parallel-group clinical trial with 2-month follow-up.
Patients in the intervention group will be fitted with the TeNDER system device best suited to the patient's needs, in addition to routine clinical practice. Patients in the control group will be treated according to standard clinical practice.
Sample size. The European consortium has proposed a sample size of 1766 patients (1031 in the Control Group and 735 in the Intervention Group). Those responsible for the technological development have considered that the tool will allow an improvement in Quality of Life (QoL) measured with the Short Form-36 Health Survey questionnaire of 6 points between the groups. According to previous studies consulted, the standard deviation of QoL in the population with the chronic diseases under study (PD, AD and CVD) varies between 16 and 27 [23-25]. For the power calculation, we have used the highest value of this standard deviation. Therefore, this sample size will allow a power of 98.8% to detect ≥6 differences in the overall score of the Short Form-36 Health Survey questionnaire if they exist.
The calculations were performed using a freely available software developed by public institutions for epidemiologists and other health professionals for the management of tabulated data.
In Primary Care of the Madrid Health Service, 534 patients will be included (380 in the Intervention Group and 254 in the Control Group). By pathology they will be: 80 patients with PD, 100 patients with AD and 360 patients with CVD.
Recruitment:
In each institution of the consortium, recruitment will be carried out according to its internal organisation.
For the Madrid Health Service institution, it is defined below:
Selection of centres and professionals: In Primary Care in Madrid, 5 health centres have been selected, including a total of 187 professionals (doctors and nurses) who will be offered to participate in the study. Based on experience in previous studies, we expect a participation rate of 45%, which means 84 participating professionals. If necessary, the number of participating centres will be expanded to reach the required sample size of patients and professionals.
Professionals will enter the study on a voluntary basis and after signing an informed consent form.
Recruitment of patients and carers:
Each participating professional will recruit 8 patients from their quota (5 with CVD, 1 with PD and 2 with AD). Recruitment will be done consecutively. Patients with some degree of dependence (PD and AD) will be recruited together with the caregiver, with the prior informed consent of both.
Participants must sign the informed consent before being included in the study. For this purpose, during the recruitment interview, the professionals will provide all the information about the study in written form and accompanied by a detailed verbal explanation, making sure that they understand it. You will be offered the information sheet to take home and share it with the people you consider important for the decision, at the same time as you will be offered the resolution of any doubts that may arise.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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Madrid, Spain, 28035
- Gerencia de atención primaria
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
The main study population is patients with Parkinson's disease (PD), Alzheimer's disease or other dementias (AD) and cardiovascular disease (CVD). Data will also be collected from their caregivers and professionals.
PATIENTS:
General Inclusion Criteria:
- Understand the local language of the country in which it takes place.
- Have a reference person or caregiver (if dependent).
- Agree to participate in the study, understand it and have signed the informed consent form.
Inclusion criteria for disease:
- AD: Persons expressing subjective cognitive compliant and Mini-Mental State Examination (MMSE) score of 19 to 28 pts, or having diagnosis of disease-causing dementia (with MMSE score of 19 to 28 pts) or Diagnosis of Alzheimer's according to National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria.
- PD: Confirmed diagnosis of Parkinson's disease. All patients will provide a report with an assessment from the neurologist.
- CVD: Patient that presents one of the following: cardiovascular failure grade II-III New York Heart Association (NYHA); coronary heart disease (both stable and acute coronary artery disease with or without S-T segment elevation); Atrial Fibrillation; Cardiac Pacemaker Carrier; Cerebral Stroke (ischaemic and haemorrhagic).
General Exclusion Criteria:
- Patients whose caregiver is not willing to participate / help; Patients / caregivers are not willing to work with the technologies used in this project.
- Patient and caregiver considered by the recruiting professional to be unable to follow the requirements of the study.
- Inability to move and move around at home (bedridden).
- Alcoholism or drug addiction.
- Life expectancy < 6 months.
Exclusion criteria for disease:
- AD: Advanced stages of the disease (GDS 6-7).
- PD: Parkinsonism secondary to vascular disease or treatment; Parkinsonism syndromes (Multiple System Atrophy, Progressive Supranuclear Palsy, Corticobasal Syndrome); dementia with Lewy bodies (DLB).
- CVD: acute coronary artery disease less than 4 weeks ago; severe aortic stenosis.
CAREGIVERS:
Inclusion criteria:
To be able to consent and to comply with at least one of the following requisites:
- To be employed by a public or private company or directly by the patients to provide direct care and thus support daily activities.
- To live with and/or take care of a relative (or other close relationship) affected by Parkinson's disease or Alzheimer's disease or/and others forms of dementia or CVD
- To provide logistic support to a family member or a close friend affected by Parkinson's disease or Alzheimer's disease or/and others forms of dementia or CVD.
- Express readiness in the use of technologies to use the devices
Exclusion criteria:
- Caregivers not able to consent.
- Caregivers not aware of the daily needs of patients.
PROFESSIONALS:
Inclusion criteria:
- To be able to consent and to be qualified and working in a medical or social area specialized in the care or support of persons with Parkinson's, Alzheimer's or/and other forms of dementia and cardiovascular diseases.
Exclusion criteria:
- Not working as a professional involved in the care or support of AD, PD, CVD patients.
- Working practice and environment not connected to Alzheimer's' and/or other forms of dementia, Parkinson's' disease or cardiovascular diseases.
- Conflict of interest.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control group
Standard practice.
Patients will receive the usual clinical care based on the transmission of information and advice, and review according to the Clinical Practice Guidelines corresponding to the various chronic diseases presented by the patient.
|
|
|
Experimental: Intervention Group
Standard practice.
Patients will receive the usual clinical care based on the transmission of information and advice, and review according to the Clinical Practice Guidelines corresponding to the various chronic diseases presented by the patient.
In addition, these participants will be provided with the TeNDER technological tool.
The TeNDER intervention consists of the use of the TeNDER technological tool.
It is a web application that integrates all the functionalities of the biosensors to facilitate patient self-monitoring, caregiver care and monitoring and management in the daily work of health professionals.
|
The TeNDER intervention consists of the use of the TeNDER technological tool. It is a web application that integrates all the functionalities of biosensors to facilitate patient self-monitoring, caregiver care and monitoring and management in the daily work of healthcare professionals. Each participant will use the sensor that suits their needs: Sleep quality detector; Position sensor; Smart band; Smart watch; Microphone and speaker; rgb (real sense) sensor; Binary door and window sensor; Environmental sensor. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in quality of life (PATIENT-ALL)
Time Frame: baseline and 1 month after intervention
|
Quality of life will be measured at baseline and at the end of the TeNDER intervention (after 1 month) and the change between the two measures will be studied. Health-related quality of life as measured by the Short Form-36 Health Survey (SF-36). This questionnaire contains 36 items and 8 dimensions: Physical Function (10); Physical Role (4); Bodily Pain (2); General Health (5); Vitality (4); Social Function (2); Emotional Role (3) and 2 summary components (Physical and Mental). The score ranges from 0 to 100, where the higher the score the better the health status. |
baseline and 1 month after intervention
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Socio-demographic characteristics(PATIENT-ALL)
Time Frame: baseline
|
Gender (male or female), age (number)
|
baseline
|
|
Main disease (PATIENT-ALL)
Time Frame: baseline
|
Main disease shall be recorded as AD (Alzheimer disease, ) PD (Parkinson disease) and CVD (cardiovascular disease)
|
baseline
|
|
Technological affinity (PATIENT-ALL)
Time Frame: baseline
|
This information is collected with a question about their taste for using technology and 6 different levels of response are offered.
|
baseline
|
|
Change in autonomy (PATIENT-ALL)
Time Frame: baseline and 1 month after intervention
|
The difference in autonomy between baseline and after the intervention (1 month after) will be studied.
Autonomy at each time point will be studied by means of 6 ad hoc likert-type questions scored 4-0.
Where 24 is total autonomy and 0 is no autonomy.
|
baseline and 1 month after intervention
|
|
Usability (PATIENT-INTERVENTION GROUP)
Time Frame: 1 month after intervention
|
Collected through the validated tool "System Usability Scale".
This scale is composed of 10 questions related to satisfaction with usability.
The overall score is calculated from the sum of all item scores multiplied by 2.5, and the overall score ranges from 0 to 100.
|
1 month after intervention
|
|
Satisfaction (PATIENT-INTERVENTION GROUP)
Time Frame: 1 month after intervention
|
Satisfaction with the intervention.
This will be studied by means of 4 ad hoc likert-type questions scored 1-5.
Where 20 is the highest satisfaction with the tool.
|
1 month after intervention
|
|
Potential reductions in visits to health services (PATIENT-INTERVENTION GROUP)
Time Frame: 1 month after intervention
|
Through 3 questions, the opinion on the potential of the tool to reduce visits to health services is collected.
|
1 month after intervention
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Socio-demographic characteristics(CAREGIVERS)
Time Frame: baseline
|
Gender (male or female), age (number)
|
baseline
|
|
Technological affinity(CAREGIVERS)
Time Frame: baseline
|
This information is collected with a question about their taste for using technology and 6 different levels of response are offered.
|
baseline
|
|
Main disease on charge(CAREGIVERS)
Time Frame: baseline
|
Main disease of the person being cared for.
This shall be recorded as AD (Alzheimer disease, ) PD (Parkinson disease) and CVD (cardiovascular disease)
|
baseline
|
|
Change in quality of life (CAREGIVERS)
Time Frame: baseline and 1 month after intervention
|
It will be collected through 11 ad hoc questions focused on the carer.
It will be collected at baseline and 1 month after the intervention and the change will be studied.
|
baseline and 1 month after intervention
|
|
Change in satisfaction with the care provided (CAREGIVERS)
Time Frame: baseline and 1 month after intervention
|
By means of a question with different levels of response.
It will be collected at baseline and 1 month after the intervention and the change will be studied.
|
baseline and 1 month after intervention
|
|
Usability (CAREGIVERS)
Time Frame: 1 month after intervention
|
Collected through the validated tool "System Usability Scale".
This scale is composed of 10 questions related to satisfaction with usability.
The overall score is calculated from the sum of all item scores multiplied by 2.5, and the overall score ranges from 0 to 100.
|
1 month after intervention
|
|
Satisfaction (CAREGIVERS)
Time Frame: 1 month after intervention
|
Satisfaction with the intervention.
This will be studied by means of 4 ad hoc likert-type questions scored 1-5.
Where 20 is the highest satisfaction with the tool.
|
1 month after intervention
|
|
Potential reductions in visits to health services (CAREGIVERS)
Time Frame: 1 month after intervention
|
Through 3 questions, the opinion on the potential of the tool to reduce visits to health services is collected.
|
1 month after intervention
|
|
Socio-demographic characteristics (PROFESSIONALS)
Time Frame: baseline
|
Gender (male or female), age (number)
|
baseline
|
|
Technological affinity (PROFESSIONALS)
Time Frame: baseline
|
This information is collected with a question about their taste for using technology and 6 different levels of response are offered.
|
baseline
|
|
Change in work overload (PROFESSIONALS)
Time Frame: baseline and 1 month after intervention
|
By means of a question with different levels of response.
It will be collected at baseline and 1 month after the intervention and the change will be studied.
|
baseline and 1 month after intervention
|
|
Usability (PROFESSIONALS)
Time Frame: 1 month after intervention
|
Collected through the validated tool "System Usability Scale".
This scale is composed of 10 questions related to satisfaction with usability.
The overall score is calculated from the sum of all item scores multiplied by 2.5, and the overall score ranges from 0 to 100.
|
1 month after intervention
|
|
Satisfaction (PROFESSIONALS)
Time Frame: 1 month after intervention
|
Satisfaction with the intervention.
This will be studied by means of 4 ad hoc likert-type questions scored 1-5.
Where 20 is the highest satisfaction with the tool.
|
1 month after intervention
|
|
Potential reductions in visits to health services (PROFESSIONALS)
Time Frame: 1 month after intervention
|
Through 3 questions, the opinion on the potential of the tool to reduce visits to health services is collected.
|
1 month after intervention
|
Collaborators and Investigators
Investigators
- Study Director: Federico Álvarez, Universidad Politécnica de Madrid.
Publications and helpful links
General Publications
- Vilagut G, Ferrer M, Rajmil L, Rebollo P, Permanyer-Miralda G, Quintana JM, Santed R, Valderas JM, Ribera A, Domingo-Salvany A, Alonso J. [The Spanish version of the Short Form 36 Health Survey: a decade of experience and new developments]. Gac Sanit. 2005 Mar-Apr;19(2):135-50. doi: 10.1157/13074369. Spanish.
- Kitsiou S, Pare G, Jaana M, Gerber B. Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews. PLoS One. 2017 Mar 1;12(3):e0173160. doi: 10.1371/journal.pone.0173160. eCollection 2017.
- Violan C, Foguet-Boreu Q, Flores-Mateo G, Salisbury C, Blom J, Freitag M, Glynn L, Muth C, Valderas JM. Prevalence, determinants and patterns of multimorbidity in primary care: a systematic review of observational studies. PLoS One. 2014 Jul 21;9(7):e102149. doi: 10.1371/journal.pone.0102149. eCollection 2014.
- Haslbeck J, Zanoni S, Hartung U, Klein M, Gabriel E, Eicher M, Schulz PJ. Introducing the chronic disease self-management program in Switzerland and other German-speaking countries: findings of a cross-border adaptation using a multiple-methods approach. BMC Health Serv Res. 2015 Dec 28;15:576. doi: 10.1186/s12913-015-1251-z.
- Davis AA, Racette B. Parkinson disease and cognitive impairment: Five new things. Neurol Clin Pract. 2016 Oct;6(5):452-458. doi: 10.1212/CPJ.0000000000000285.
- Mills SL, Brady TJ, Jayanthan J, Ziabakhsh S, Sargious PM. Toward consensus on self-management support: the international chronic condition self-management support framework. Health Promot Int. 2017 Dec 1;32(6):942-952. doi: 10.1093/heapro/daw030.
- Ornstein SM, Nietert PJ, Jenkins RG, Litvin CB. The prevalence of chronic diseases and multimorbidity in primary care practice: a PPRNet report. J Am Board Fam Med. 2013 Sep-Oct;26(5):518-24. doi: 10.3122/jabfm.2013.05.130012.
- Konig HH, Leicht H, Bickel H, Fuchs A, Gensichen J, Maier W, Mergenthal K, Riedel-Heller S, Schafer I, Schon G, Weyerer S, Wiese B, Bussche Hv, Scherer M, Eckardt M; MultiCare study group. Effects of multiple chronic conditions on health care costs: an analysis based on an advanced tree-based regression model. BMC Health Serv Res. 2013 Jun 15;13:219. doi: 10.1186/1472-6963-13-219.
- Torous J, Kiang MV, Lorme J, Onnela JP. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Ment Health. 2016 May 5;3(2):e16. doi: 10.2196/mental.5165.
- Mohr DC, Zhang M, Schueller SM. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annu Rev Clin Psychol. 2017 May 8;13:23-47. doi: 10.1146/annurev-clinpsy-032816-044949. Epub 2017 Mar 17.
- Raggi A, Corso B, Minicuci N, Quintas R, Sattin D, De Torres L, Chatterji S, Frisoni GB, Haro JM, Koskinen S, Martinuzzi A, Miret M, Tobiasz-Adamczyk B, Leonardi M. Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain. PLoS One. 2016 Jul 19;11(7):e0159293. doi: 10.1371/journal.pone.0159293. eCollection 2016.
- Huckvale K, Venkatesh S, Christensen H. Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. NPJ Digit Med. 2019 Sep 6;2:88. doi: 10.1038/s41746-019-0166-1. eCollection 2019.
- Tu XJ, Hwang WJ, Ma HI, Chang LH, Hsu SP. Determinants of generic and specific health-related quality of life in patients with Parkinson's disease. PLoS One. 2017 Jun 26;12(6):e0178896. doi: 10.1371/journal.pone.0178896. eCollection 2017.
- Benda NM, Seeger JP, Stevens GG, Hijmans-Kersten BT, van Dijk AP, Bellersen L, Lamfers EJ, Hopman MT, Thijssen DH. Effects of High-Intensity Interval Training versus Continuous Training on Physical Fitness, Cardiovascular Function and Quality of Life in Heart Failure Patients. PLoS One. 2015 Oct 30;10(10):e0141256. doi: 10.1371/journal.pone.0141256. eCollection 2015.
- Geschke K, Fellgiebel A, Laux N, Schermuly I, Scheurich A. Quality of life in dementia: impact of cognition and insight on applicability of the SF-36. Am J Geriatr Psychiatry. 2013 Jul;21(7):646-54. doi: 10.1016/j.jagp.2012.12.014. Epub 2013 Feb 6.
- Perera R, Heneghan C, Yudkin P. Graphical method for depicting randomised trials of complex interventions. BMJ. 2007 Jan 20;334(7585):127-9. doi: 10.1136/bmj.39045.396817.68.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 39/20
- 875325 (Other Grant/Funding Number: Europe H2020)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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