Economic Impact of Remote Patient Monitoring: An Integrated Economic Model Derived from a Meta-Analysis of Randomized Controlled Trials in Heart Failure
Abstract
Aims To assess the cost-effectiveness and the cost utility of remote patient monitoring (RPM) when compared with the usual care approach based upon differences in the number of hospitalizations, estimated from a meta-analysis of randomized clinical trials (RCTs). Methods and results We reviewed the literature published between January 2000 and September 2009 on multidisciplinary heart failure (HF) management, either by usual care or RPM to retrieve the number of hospitalizations and length of stay (LOS) for HF and for any cause. We performed a meta-analysis of 21 RCTs (5715 patients). Remote patient monitoring was associated with a significantly lower number of hospitalizations for HF [incidence rate ratio (IRR): 0.77, 95% CI 0.65-0.91, P Conclusions The novel cost-effectiveness data coupled with the demonstrated clinical efficacy of RPM should encourage its acceptance amongst clinicians and its consideration by third-party payers. At the same time, the scientific community should acknowledge the lack of prospectively and uniformly collected economic data and should request that future studies incorporate economic analyses.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In six of 14 trials of asynchronous telehealth interventions, declines in blood haemoglobin A1c concentration were moderately or substantially greater in the intervention group than in controls.
“In six of 14 trials of asynchronous telehealth interventions, declines in blood haemoglobin A1c concentration were moderately or substantially greater in the intervention group than in controls.”
From Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? (2012) · cites this paper as [60]
A third review found significant evidence of reduced all-cause hospitalisations (incidence rate ratio 0.9, 95% CI 0.8 to 1.0) and chronic heart failure related hospitalisations (incidence rate ratio 0.8, 95% CI 0.7 to 0.9).
“A third review also found significant evidence of reduced all cause hospitalisations (incidence rate ratio 0.9, 95% C.I. 0.8 to 1.0) and chronic heart failure related hospitalisations (incidence rate ratio 0.8, 95% C.I. 0.7 to 0.9) [47].”
From The Impact of Telehealthcare on the Quality and Safety of Care: A Systematic Overview (2013) · cites this paper as [47]
Cites
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00136 · Cited by 10,349 · see citing works
Heart Disease and Stroke Statistics—2010 Update: A Report From the American Heart Association
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., Ferguson, T. B., Ford, E., Furie, K., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192667 · Cited by 5,700 · see citing works
Structured telephone support or telemonitoring programmes for patients with chronic heart failure
Inglis, S. C., Clark, R. A., McAlister, F. A., Ball, J., Lewinter, C., Cullington, D., Stewart, S., & Cleland, J. G. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007228.pub2 · Cited by 614 · see citing works
Wilkoff, B. L., Auricchio, A., Brugada, J., Cowie, M., Ellenbogen, K. A., Gillis, A. M., Hayes, D. L., Howlett, J. G., Kautzner, J., Love, C. J., et al. (2008) · Heart Rhythm · doi:10.1016/j.hrthm.2008.04.013 · Cited by 364 · see citing works
Self-citationHome telemonitoring for congestive heart failure a systematic review and meta-analysis
Polisena, J., Tran, K., Cimon, K., Hutton, B., McGill, S., Palmer, K., & Scott, R. E. (2010) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2009.090406 · Cited by 218 · see citing works
Clinical Benefits of Remote Versus Transtelephonic Monitoring of Implanted Pacemakers
Crossley, G. H., Chen, J., Choucair, W., Cohen, T. J., Gohn, D. C., Johnson, W. B., Kennedy, E. E., Mongeon, L. R., Serwer, G. A., Qiao, H., et al. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.10.001 · Cited by 202 · see citing works
Raatikainen, M. J. P., Uusimaa, P., van Ginneken, M. M. E., Janssen, J. P. G., & Linnaluoto, M. (2008) · Europace · doi:10.1093/europace/eun203 · Cited by 189 · see citing works
Cost Comparison Between Telemonitoring and Usual Care of Heart Failure: A Systematic Review
Seto, E. (2008) · Telemedicine and e-Health · doi:10.1089/tmj.2007.0114 · Cited by 156 · cited 2× · see citing works
“Almost 70% of direct HF costs have been shown to be due to hospitalizations.(3,4) In a previous meta-analysis, we and others(5) – 7 were able to show that remote patient monitoring (RPM) strategies may delay or prevent hospitalization or even death due to worsening of heart failure by recognizing early changes in haem…”
Background
Flagged first, then by citations
Cited by
Sorted by citations
The Impact of Telehealthcare on the Quality and Safety of Care: A Systematic Overview
McLean, S., Sheikh, A., Cresswell, K., Nurmatov, U., Mukherjee, M., Hemmi, A., & Pagliari, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071238 · Cited by 255 · see citing works
What are the costs of heart failure?
Braunschweig, F., Cowie, M. R., & Auricchio, A. (2011) · Europace · doi:10.1093/europace/eur081 · Cited by 255 · see citing works
Self-citationPiette, J., Lun, K., Moura, L., Fraser, H., Mechael, P., Powell, J., & Khoja, S. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.11.099069 · Cited by 188 · see citing works
Pandor, A., Thokala, P., Gomersall, T., Baalbaki, H., Stevens, J., Wang, J., Wong, R., Brennan, A., & Fitzgerald, P. (2013) · Health Technol Assess · doi:10.3310/hta17320 · Cited by 159 · see citing works
Kotb, A., Cameron, C., Hsieh, S., & Wells, G. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118681 · Cited by 149 · see citing works
Does remote patient monitoring reduce acute care use? A systematic review
Taylor, M. L., Thomas, E. E., Snoswell, C. L., Smith, A. C., & Caffery, L. J. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-040232 · Cited by 146 · see citing works
Yun, J. E., Park, J.-E., Park, H.-Y., Lee, H.-Y., & Park, D.-A. (2018) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2017.09.006 · Cited by 115 · see citing works
Klersy, C., Boriani, G., De Silvestri, A., Mairesse, G. H., Braunschweig, F., Scotti, V., Balduini, A., Cowie, M. R., Leyva, F., & for the Health Economics Committee of the European Heart Rhythm Association (2016) · European Journal of Heart Failure · doi:10.1002/ejhf.470 · Cited by 120 · see citing works
Self-citationBarriers and Facilitators for Sustainability of Tele-Homecare Programs: A Systematic Review.
Radhakrishnan, K., Xie, B., Berkley, A., & Kim, M. (2016) · Health Services Research · doi:10.1111/1475-6773.12327 · Cited by 95 · see citing works
Economic Evaluations of Remote Patient Monitoring for Chronic Disease: A Systematic Review
De Guzman, K. R., Snoswell, C. L., Taylor, M. L., Gray, L. C., & Caffery, L. J. (2022) · Value in Health · doi:10.1016/j.jval.2021.12.001 · Cited by 83 · see citing works
Remote monitoring of chronic diseases: a landscape assessment of policies in four European countries
Rojahn, K., Laplante, S., Sloand, J., Main, C., Ibrahim, A., Wild, J., Sturt, N., Areteou, T., & Johnson, K. I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155738 · Cited by 54 · see citing works
- Authors
- Klersy, C., De Silvestri, A., Gabutti, G., Raisaro, A., Curti, M., Regoli, F., & Auricchio, A.
- Affiliations
- Policlinico San Matteo Fondazione (IT)
- Service of Biometry and Clinical Epidemiology, Fondazione IRCCS Policlinico San Matteo , Pavia ,
- Istituto Cardiocentro Ticino (CH)
- Corresponding author
- Klersy, Catherine
- Venue
- European Journal of Heart Failure
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-04-01
- Volume
- 13
- Issue
- 4
- Pages
- 450-459
- ISSN
- 1388-9842 (ISSN-L)
- 1879-0844
- OpenAlex
- W2017159430
- Cited by
- 150
- References
- 8
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 7 · 2023: 3 · 2022: 14 · 2021: 7 · 2020: 14 · 2019: 9 · 2018: 10 · 2017: 11 · 2016: 14 · 2015: 10 · 2014: 13 · 2013: 16 · 2012: 10
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Heart Failure (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Boston Scientific Corporation
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- remote patient monitoring, heart failure, cost-effectiveness, cost-utility analysis, hospitalization reduction, length of hospital stay, diagnosis-related groups, budget impact, quality-adjusted life years, usual care comparison, economic models
- MeSH terms
- Aged, Cost-Benefit Analysis, Female, Heart Failure, Hospitalization, Humans, Male, Middle Aged, Monitoring, Physiologic, Randomized Controlled Trials as Topic, Treatment Outcome, Telemedicine, Models, Economic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
