- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02803489
Evaluation of the Performance of an e-Health System
Evaluation of the Performance of an e-Health System Comprising Tele-monitoring / Tele-notification and Tele-coaching in Ambulatory Multi-morbid Adult Patients
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The eHealth system developed in the present study is dedicated to multimorbid patients' follow-up. The medical device consists in Telemonitoring, Telenotification and Telecoaching. It aims to both increase patient autonomy, with regard to management of his/her pathologies, and facilitate coordination between health professionals.
By providing patients with tools enabling early detection of clinical worsening combined with an appropriate management, the medium and long-term objectives are to reduce hospitalizations and improve health status and quality of life of these patients at home.
In the first instance, the only objective of the present study is to evaluate the performance and feasibility of implementation of the device. This evaluation is based on a comparison between the telenotifications generated by the software and those calculated from the raw data captured by the software.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Annecy, France, 74000
- Cabinet Privé de Cardiologie - 2, rue jean jaurès
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Annecy, France, 74000
- Cabinet Privé de Pneumologie - 7 rue gabriel de mortillet
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Pringy, France, 74374
- Centre Hospitalier d'Annecy Genevois - service cardiologie - 1 avenue de l'Hôpital BP 90074 Metz-Tessy
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Pringy, France, 74374
- Centre Hospitalier d'Annecy Genevois - service pneumologie - 1 avenue de l'Hôpital BP 90074 Metz-Tessy
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Saint-Julien-en-Genevois, France, 74160
- Cabinet privé de pneumologie - 28 avenue de Genève
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Thônes, France, 74230
- cabinet privé de médecine générale - 18, rue Louis Haase
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Patients presenting all the following characteristics are eligible for inclusion:
- Adult (>18 yrs), male or female
- Presenting at least two chronic diseases among the following three: chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes
- Having been hospitalized in the CHANGE or in any other medical care center (hospital or private clinic) for acute decompensation of CHF or exacerbation of COPD at least once during the 12 months prior to inclusion
- Able to speak and understand French to a satisfactory standard
- Having a phone land line
- Capable of understanding and accepting the study constraints
- Having signed a written informed consent after a full explanation of the study by the investigator prior to inclusion
Exclusion Criteria:
Patients presenting any one of the following characteristics are not eligible for inclusion:
- Pregnant or breast-feeding woman
- Institutionalized
- Having a life expectancy of less than 3 months
- Receiving or having received chemotherapy or radiotherapy for cancer within the past 6 months
- Undergoing dialysis for chronic renal insufficiency
- Presenting a condition likely to hamper accomplishment of the study procedures, such as chronic alcoholism, drug or solvent addiction, uncontrolled psychiatric disease or severe cognitive deficiency
- Not covered by French Social Security
- Participating or having participated in another interventional trial within the past 30 days
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Experimental: medical device intervention
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Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Sensitivity and specificity of the tele-notifications
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Sensitivity and specificity of the STABILITY SYSTEM INDICATORS
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Specific self-administered questionnaires about Ease of Use/Usefulness/Satisfaction for each category of user
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients regarding transmission of measured parameters
Time Frame: through study completion, an average of 11 months
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Mean number of transmission of measured parameters: real versus theoretical.
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through study completion, an average of 11 months
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Acceptability of the system by patients: mean number of participation in virtual classroom session
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients: mean duration of participation in virtual classroom session
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients: mean number of consultations of modules providing medical information
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients: cumulative time spent on consultations of modules providing medical information
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients: mean duration of phone contacts by type (planned, for notification management, incoming)
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by patients: mean number of phone contacts by type (planned, for notification management, incoming)
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
|
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Acceptability of the system by patients: comparison of real planned phone contacts versus theoretical
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by physicians: mean number of connections
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Acceptability of the system by physicians: mean duration of connections
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Feasibility of the intervention for patients
Time Frame: through study completion, an average of 11 months
|
number of screening failure and prematurely withdrawal
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through study completion, an average of 11 months
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Feasibility of the intervention for technicians
Time Frame: through study completion, an average of 11 months
|
duration of intervention
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through study completion, an average of 11 months
|
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Feasibility of the intervention for nurses
Time Frame: through study completion, an average of 11 months
|
response time following a notification
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through study completion, an average of 11 months
|
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Technological performance indices of the system: failures in data transmission
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Technological performance indices of the system: inaccessibility
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Technological performance indices of the system: devices deficiencies
Time Frame: through study completion, an average of 11 months
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technical problems with any medical devices (leading or not to replacement).
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through study completion, an average of 11 months
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Number of tele-notification per patient
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Frequency of tele-notifications per patient
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Patient care plan: number of changes implemented by investigators.
Time Frame: through study completion, an average of 11 months
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through study completion, an average of 11 months
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Clinical events including medical consultations, hospitalizations and adverse events
Time Frame: through study completion, an average of 11 months
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Overall description of medical consultations, hospitalizations and adverse events.
For adverse events, in addition, evaluation of seriousness and causal relationship with the medical device of the study.
|
through study completion, an average of 11 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Stephane SH Hominal, doctor, Centre Hospitalier D'Annecy Genevois
Publications and helpful links
General Publications
- Ekeland AG, Bowes A, Flottorp S. Effectiveness of telemedicine: a systematic review of reviews. Int J Med Inform. 2010 Nov;79(11):736-71. doi: 10.1016/j.ijmedinf.2010.08.006.
- Lundell S, Holmner A, Rehn B, Nyberg A, Wadell K. Telehealthcare in COPD: a systematic review and meta-analysis on physical outcomes and dyspnea. Respir Med. 2015 Jan;109(1):11-26. doi: 10.1016/j.rmed.2014.10.008. Epub 2014 Oct 27.
- Marcolino MS, Maia JX, Alkmim MB, Boersma E, Ribeiro AL. Telemedicine application in the care of diabetes patients: systematic review and meta-analysis. PLoS One. 2013 Nov 8;8(11):e79246. doi: 10.1371/journal.pone.0079246. eCollection 2013.
- Onder G, Palmer K, Navickas R, Jureviciene E, Mammarella F, Strandzheva M, Mannucci P, Pecorelli S, Marengoni A; Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS). Time to face the challenge of multimorbidity. A European perspective from the joint action on chronic diseases and promoting healthy ageing across the life cycle (JA-CHRODIS). Eur J Intern Med. 2015 Apr;26(3):157-9. doi: 10.1016/j.ejim.2015.02.020. Epub 2015 Mar 18.
- Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012 Jul 7;380(9836):37-43. doi: 10.1016/S0140-6736(12)60240-2. Epub 2012 May 10.
- Wilkinson TM, Donaldson GC, Hurst JR, Seemungal TA, Wedzicha JA. Early therapy improves outcomes of exacerbations of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2004 Jun 15;169(12):1298-303. doi: 10.1164/rccm.200310-1443OC. Epub 2004 Feb 27.
- Kitsiou S, Pare G, Jaana M. Effects of home telemonitoring interventions on patients with chronic heart failure: an overview of systematic reviews. J Med Internet Res. 2015 Mar 12;17(3):e63. doi: 10.2196/jmir.4174.
- Conway G. Case management for heart failure in the emergency department. Crit Pathw Cardiol. 2006 Mar;5(1):25-8. doi: 10.1097/01.hpc.0000202240.99184.81.
- Elbert NJ, van Os-Medendorp H, van Renselaar W, Ekeland AG, Hakkaart-van Roijen L, Raat H, Nijsten TE, Pasmans SG. Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses. J Med Internet Res. 2014 Apr 16;16(4):e110. doi: 10.2196/jmir.2790.
- Cruz J, Brooks D, Marques A. Home telemonitoring effectiveness in COPD: a systematic review. Int J Clin Pract. 2014 Mar;68(3):369-78. doi: 10.1111/ijcp.12345. Epub 2014 Jan 28.
- Goldstein RS, O'Hoski S. Telemedicine in COPD: time to pause. Chest. 2014 May;145(5):945-949. doi: 10.1378/chest.13-1656.
- Conway A, Inglis SC, Chang AM, Horton-Breshears M, Cleland JG, Clark RA. Not all systematic reviews are systematic: a meta-review of the quality of systematic reviews for non-invasive remote monitoring in heart failure. J Telemed Telecare. 2013 Sep;19(6):326-37. doi: 10.1177/1357633X13503427. Epub 2013 Sep 25.
- Nakamura N, Koga T, Iseki H. A meta-analysis of remote patient monitoring for chronic heart failure patients. J Telemed Telecare. 2014 Jan;20(1):11-7. doi: 10.1177/1357633X13517352. Epub 2013 Dec 18.
- Purcell R, McInnes S, Halcomb EJ. Telemonitoring can assist in managing cardiovascular disease in primary care: a systematic review of systematic reviews. BMC Fam Pract. 2014 Mar 7;15:43. doi: 10.1186/1471-2296-15-43.
- Kotb A, Cameron C, Hsieh S, Wells G. Comparative effectiveness of different forms of telemedicine for individuals with heart failure (HF): a systematic review and network meta-analysis. PLoS One. 2015 Feb 25;10(2):e0118681. doi: 10.1371/journal.pone.0118681. eCollection 2015.
- Pandor A, Gomersall T, Stevens JW, Wang J, Al-Mohammad A, Bakhai A, Cleland JG, Cowie MR, Wong R. Remote monitoring after recent hospital discharge in patients with heart failure: a systematic review and network meta-analysis. Heart. 2013 Dec;99(23):1717-26. doi: 10.1136/heartjnl-2013-303811. Epub 2013 May 16.
- Feltner C, Jones CD, Cene CW, Zheng ZJ, Sueta CA, Coker-Schwimmer EJ, Arvanitis M, Lohr KN, Middleton JC, Jonas DE. Transitional care interventions to prevent readmissions for persons with heart failure: a systematic review and meta-analysis. Ann Intern Med. 2014 Jun 3;160(11):774-84. doi: 10.7326/M14-0083.
- Ekeland AG, Bowes A, Flottorp S. Methodologies for assessing telemedicine: a systematic review of reviews. Int J Med Inform. 2012 Jan;81(1):1-11. doi: 10.1016/j.ijmedinf.2011.10.009. Epub 2011 Nov 21.
- Conway A, Inglis SC, Clark RA. Effective technologies for noninvasive remote monitoring in heart failure. Telemed J E Health. 2014 Jun;20(6):531-8. doi: 10.1089/tmj.2013.0267. Epub 2014 Apr 14.
- Lefevre T, d'Ivernois JF, De Andrade V, Crozet C, Lombrail P, Gagnayre R. What do we mean by multimorbidity? An analysis of the literature on multimorbidity measures, associated factors, and impact on health services organization. Rev Epidemiol Sante Publique. 2014 Oct;62(5):305-14. doi: 10.1016/j.respe.2014.09.002. Epub 2014 Oct 25.
- Smith SM, Soubhi H, Fortin M, Hudon C, O'Dowd T. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ. 2012 Sep 3;345:e5205. doi: 10.1136/bmj.e5205.
- Fabbri LM, Boyd C, Boschetto P, Rabe KF, Buist AS, Yawn B, Leff B, Kent DM, Schunemann HJ; ATS/ERS Ad Hoc Committee on Integrating and Coordinating Efforts in COPD Guideline Development. How to integrate multiple comorbidities in guideline development: article 10 in Integrating and coordinating efforts in COPD guideline development. An official ATS/ERS workshop report. Proc Am Thorac Soc. 2012 Dec;9(5):274-81. doi: 10.1513/pats.201208-063ST.
- Martin-Lesende I, Orruno E, Bilbao A, Vergara I, Cairo MC, Bayon JC, Reviriego E, Romo MI, Larranaga J, Asua J, Abad R, Recalde E. Impact of telemonitoring home care patients with heart failure or chronic lung disease from primary care on healthcare resource use (the TELBIL study randomised controlled trial). BMC Health Serv Res. 2013 Mar 28;13:118. doi: 10.1186/1472-6963-13-118.
- Sutherland D, Hayter M. Structured review: evaluating the effectiveness of nurse case managers in improving health outcomes in three major chronic diseases. J Clin Nurs. 2009 Nov;18(21):2978-92. doi: 10.1111/j.1365-2702.2009.02900.x. Epub 2009 Sep 11.
- Chow SK, Wong FK. A randomized controlled trial of a nurse-led case management programme for hospital-discharged older adults with co-morbidities. J Adv Nurs. 2014 Oct;70(10):2257-71. doi: 10.1111/jan.12375. Epub 2014 Mar 12.
- Prochaska JO, DiClemente CC. Transtheorical therapy toward a more integrative model of change. Psychotherapy: Theory, Research and Practice, 1982;19(3):276-287
- Kitsiou S, Pare G, Jaana M. Systematic reviews and meta-analyses of home telemonitoring interventions for patients with chronic diseases: a critical assessment of their methodological quality. J Med Internet Res. 2013 Jul 23;15(7):e150. doi: 10.2196/jmir.2770.
- Chacornac M, Faoro A, Texereau J, Billoet C, Hominal S. Performance of an eHealth (NOMHAD) System Comprising Telemonitoring, Telenotification, and Telecoaching for Patients With Multimorbidity: Proof-of-Concept Study. JMIR Form Res. 2022 Mar 11;6(3):e32205. doi: 10.2196/32205.
Helpful Links
- Haute Autorité de Santé. Rapport d'évaluation efficience de la télémédecine. Élaboration de matrices d'impacts des effets attendus de la télémédecine: applications aux chantiers prioritaires, juillet 2013.
- Haute Autorité de Santé. Guide de parcours de soins. Insuffisance cardiaque, juin 2014.
- Haute Autorité de Santé. Guide du parcours de soins. Diabète de type 2 de l'adulte, mars 2014.
- Haute Autorité de Santé. Guide - Affections de longue durée. Diabète de type 1 de l'adulte, juillet 2007.
- Caisse Nationale d'Assurance Maladie. Programme d'Accompagnement du Retour à Domicile (PRADO). Bilan et perspectives pour les Soins de Suite et de Réadaptation. Prise en charge ambulatoire, 12 mars 2015.
- Haute autorité de santé. Rapport d'évaluation médico-économique. Efficience de la télémédecine: état des lieux de la littérature internationale et cadre d'évaluation, juillet 2013
- Haute autorité de santé. Evaluation et amélioration des pratiques. Grille de pilotage et de sécurité d'un projet de télémédecine, juin 2013.
- Haute Autorité de Santé. Comment prévenir les ré-hospitalisations après une exacerbation de bronchopneumopathie chronique obstructive? Mai 2014.
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 (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Pathologic Processes
- Disease Attributes
- Metabolic Diseases
- Respiratory Tract Diseases
- Lung Diseases
- Glucose Metabolism Disorders
- Lung Diseases, Obstructive
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Pulmonary Disease, Chronic Obstructive
- Diabetes Mellitus
- Chronic Disease
Other Study ID Numbers
- ALMED-14-MD-051
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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