Cost-effectiveness of home telemonitoring in chronic kidney disease patients at different stages by a pragmatic randomized controlled trial (eNephro): rationale and study design

Nathalie Thilly, Jacques Chanliau, Luc Frimat, Christian Combe, Pierre Merville, Philippe Chauveau, Pierre Bataille, Raymond Azar, David Laplaud, Christian Noël, Michèle Kessler, Nathalie Thilly, Jacques Chanliau, Luc Frimat, Christian Combe, Pierre Merville, Philippe Chauveau, Pierre Bataille, Raymond Azar, David Laplaud, Christian Noël, Michèle Kessler

Abstract

Background: Home telemonitoring has developed considerably over recent years in chronic diseases in order to improve communication between healthcare professionals and patients and to promote early detection of deteriorating health status. In the nephrology setting, home telemonitoring has been evaluated in home dialysis patients but data are scarce concerning chronic kidney disease (CKD) patients before and after renal replacement therapy. The eNephro study is designed to assess the cost effectiveness, clinical/biological impact, and patient perception of a home telemonitoring for CKD patients. Our purpose is to present the rationale, design and organisational aspects of this study.

Methods: eNephro is a pragmatic randomised controlled trial, comparing home telemonitoring versus usual care in three populations of CKD patients: stage 3B/4 (n = 320); stage 5D CKD on dialysis (n = 260); stage 5 T CKD treated with transplantation (n= 260). Five hospitals and three not-for-profit providers managing self-care dialysis situated in three administrative regions in France are participating. The trial began in December 2015, with a scheduled 12-month inclusion period and 12 months follow-up. Outcomes include clinical and biological data (e.g. blood pressure, haemoglobin) collected from patient records, perceived health status (e.g. health related quality of life) collected from self-administered questionnaires, and health expenditure data retrieved from the French health insurance database (SNIIRAM) using a probabilistic matching procedure.

Discussion: The hypothesis is that home telemonitoring enables better control of clinical and biological parameters as well as improved perceived health status. This better control should limit emergency consultations and hospitalisations leading to decreased healthcare expenditure, compensating for the financial investment due to the telemedicine system.

Trial registration: This study has been registered at ClinicalTrials.gov under NCT02082093 (date of registration: February 14, 2014).

Keywords: Chronic kidney disease; Cost-effectiveness evaluation; Dialysis; Home telemonitoring; Kidney transplantation; Telemedicine.

Figures

Fig. 1
Fig. 1
Flow-chart of the eNephro study
Fig. 2
Fig. 2
The eNephro system

References

    1. World Health Organization. Global Status Report on Noncommunicable Diseases. 2014. . Accessed 10 Nov 2016.
    1. Hallan SI, Coresh J, Astor BC, Asberg A, Powe NR, Romundstad S, et al. International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. J Am Soc Nephrol. 2006;17:2275–2284. doi: 10.1681/ASN.2005121273.
    1. REIN. Rapport Annuel. 2013. . Accessed 10 Nov 2016.
    1. Van Gelder VA, Scherpbier De Haan ND, De Grauw WJ, Vervoort GM, Van Weel C, Biermans MC, et al. Quality of chronic kidney disease management in primary care: a retrospective study. Scand J Prim Health Care. 2016;34:73–80. doi: 10.3109/02813432.2015.1132885.
    1. Wang SM, Hsiao LC, Ting IW, Yu TM, Liang CC, Kuo HL, et al. Multidisciplinary care in patients with chronic kidney disease: a systematic review and meta-analysis. Eur J Intern Med. 2015;26:640–645. doi: 10.1016/j.ejim.2015.07.002.
    1. Gordon EJ, Fink JC, Fischer MJ. Telenephrology: a novel approach to improve coordinated and collaborative care for chronic kidney disease. Nephrol Dial Transplant. 2013;28:972–981. doi: 10.1093/ndt/gfs552.
    1. Hospital, patients, Health and Territory. Edited by Health Ministry, vol. Decree No. 2010–1229 Art.R. 6316–1 of 19 October 2010. 2009. . Accessed 10 Nov 2016.
    1. Pare G, Moqadem K, Pineau G, St Hilaire C. Clinical effects of home telemonitoring in the context of diabetes, asthma, heart failure and hypertension: a systematic review. J Med Internet Res. 2010;12:e21. doi: 10.2196/jmir.1357.
    1. Gallar P, Vigil A, Rodriguez I, Ortega O, Gutierrez M, Hurtado J, et al. Two-year experience with telemedicine in the follow-up of patients in home peritoneal dialysis. J Telemed Telecare. 2007;13:288–292. doi: 10.1258/135763307781644906.
    1. HAS. Les conditions de mise en œuvre de la télémédecine en unité de dialyse médicalisée. 2010. . Accessed 10 Nov 2016.
    1. Nakamoto H. Telemedicine system for patients on continuous ambulatory peritoneal dialysis. Perit Dial Int. 2007;27(Suppl 2):S21–S26.
    1. Kessler M, Erpelding ML, Empereur F, Rose C. Transplantelic: an application of telemedicine in kidney transplantation. Eur Res Telemed. 2013;2:5–10. doi: 10.1016/j.eurtel.2013.01.002.
    1. Wootton R. Twenty years of telemedicine in chronic disease management--an evidence synthesis. J Telemed Telecare. 2012;18:211–220. doi: 10.1258/jtt.2012.120219.
    1. Baker LC, Johnson SJ, Macaulay D, Birnbaum H. Integrated telehealth and care management program for Medicare beneficiaries with chronic disease linked to savings. Health Aff. 2011;30:1689–1697. doi: 10.1377/hlthaff.2011.0216.
    1. HAS. Guide du Parcours de Soins - Maladie Rénale Chronique de l'Adulte. 2012. . Accessed 10 Nov 2016.
    1. HAS. Qualité de la prise en charge des patients hémodialysés chroniques, IPAQSS 2015. 2015. . Accessed 10 Nov 2016.
    1. HAS. Suivi ambulatoire de l’adulte transplanté rénal au-delà de 3 mois après transplantation. Recommandations professionnelles. 2007. . Accessed 10 Nov 2016.
    1. Chanliau J, Charasse C, Rose C, Bene B. Clinical evaluation of an expert system for arteriovenous fistula assessment. Int J Artif Organs. 2014;37:809–815. doi: 10.5301/ijao.5000364.
    1. Durand PY, Chanliau J, Kessler M, Romary L, Thomesse JP, Charpillet F, et al. DIATELIC: A new intelligent telemedicine system to avoid hdration disorders in CAPD patients. Perit Dial Int. 2000;20:S77.
    1. Durand PY, Chanliau J, Mariot A, Thomesse JP, Romary L, Charpillet F, et al. Cost-benefit assessment of a smart telemedicine system in patients undergoing CAPD: Preliminary results. Perit Dial Int. 2001;21:S53.
    1. Rose C, Smaili C, Charpillet F. 17th IEEE international conference on tools with artificial intelligence - ICTAI'05: 2005-11-14 2005; Hong-Kong: IEEE computer society Washington, DC, USA ©2005. 2005. A dynamic Bayesian network for handling uncertainty in a decision support system adapted to the monitoring of patients treated by hemodialysis; pp. 594–598.
    1. Pearl J. Probalistic reasoning in intelligent systems: networks of plausible inference. San Fransisco: Morgan Kaufmann; 1988.
    1. Rabiner LR. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE. 1989;77:257–286. doi: 10.1109/5.18626.
    1. Silveira DP, Artmann E. Accuracy of probabilistic record linkage applied to health databases: systematic review. Rev Saude Publica. 2009;43:875–882. doi: 10.1590/S0034-89102009005000060.
    1. Campbell NC, Murray E, Darbyshire J, Emery J, Farmer A, Griffiths F, et al. Designing and evaluating complex interventions to improve health care. BMJ. 2007;334:455–459. doi: 10.1136/.
    1. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M, et al. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655. doi: 10.1136/bmj.a1655.
    1. HAS. Efficience de la télémédecine : état des lieux de la littérature internationale et cadre d’évaluation, rapport d’évaluation médico-économique. 2013. . Accessed 10 Nov 2016.
    1. Kidholm K, Ekeland AG, Jensen LK, Rasmussen J, Pedersen CD, Bowes A, et al. A model for assessment of telemedicine applications: mast. Int J Technol Assess Health Care. 2012;28:44–51. doi: 10.1017/S0266462311000638.
    1. Mistry H, Garnvwa H, Oppong R. Critical appraisal of published systematic reviews assessing the cost-effectiveness of telemedicine studies. Telemed J E Health. 2014;20:609–618. doi: 10.1089/tmj.2013.0259.
    1. Moulis G, Lapeyre Mestre M, Palmaro A, Pugnet G, Montastruc JL, Sailler L. French health insurance databases: what interest for medical research? Rev Med Interne. 2015;36:411–417. doi: 10.1016/j.revmed.2014.11.009.
    1. Tangaro S, Fanizzi A, Amoroso N, Corciulo R, Garuccio E, Gesualdo L, et al. Computer aided detection system for prediction of the malaise during hemodialysis. Comput Math Methods Med. 2016;2016:8748156. doi: 10.1155/2016/8748156.
    1. INSEE. Nomenclature des professions et categories socio-professionnelles. 2003. . Accessed 10 Nov 2016.
    1. ANAES. Moyens Thérapeutiques pour ralentir la progression de l’Insuffisance Rénale Chronique chez l'adulte. Recommandations pour la pratique clinique. 2004. . Accessed 10 Nov 2016.
    1. Girerd X, Hanon O, Anagnostopoulos K, Ciupek C, Mourad JJ, Consoli S. Assessment of antihypertensive compliance using a self-administered questionnaire: development and use in a hypertension clinic. Presse Med. 2001;30:1044–1048.
    1. Snaith RP. The hospital anxiety and depression scale. Health Qual Life Outcomes. 2003;1:29. doi: 10.1186/1477-7525-1-29.
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x.
    1. Boini S, Bloch J, Briancon S. Monitoring the quality of life of end-stage renal disease patients. Quality of life report - REIN - dialysis 2005. Nephrol Ther. 2009;5(Suppl 3):S177–S237. doi: 10.1016/S1769-7255(09)74545-6.
    1. Gentile S, Jouve E, Dussol B, Moal V, Berland Y, Sambuc R. Development and validation of a French patient-based health-related quality of life instrument in kidney transplant: the ReTransQoL. Health Qual Life Outcomes. 2008;6:78. doi: 10.1186/1477-7525-6-78.
    1. Charrier N, Zarca K, Durand Zaleski I, Calinaud C, Group ARSIDFT Efficacy and cost effectiveness of telemedicine for improving access to care in the Paris region: study protocols for eight trials. BMC Health Serv Res. 2016;16:45. doi: 10.1186/s12913-016-1281-1.
    1. Hirani SP, Rixon L, Beynon M, Cartwright M, Cleanthous S, Selva A, Sanders C, Newman SP; WSD investigators. Quantifying beliefs regarding telehealth: Development of the Whole Systems Demonstrator Service User Technology Acceptability Questionnaire. J Telemed Telecare. 2016. [Epub ahead of print].
    1. Levey AS, Coresh J, Balk E, Kausz AT, Levin A, Steffes MW, et al. National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Ann Intern Med. 2003;139:137–147. doi: 10.7326/0003-4819-139-2-200307150-00013.

Source: PubMed

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