The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) Trial
Open accessAbstract
Objectives The primary objective was to determine if wireless remote monitoring with automatic clinician alerts reduces the time from a clinical event to a clinical decision in response to arrhythmias, cardiovascular (CV) disease progression, and device issues compared to patients receiving standard in-office care. A secondary objective was to compare the rates of CV health care utilization between patients in the remote and in-office arms. Background In addition to providing life-saving therapy, implantable cardioverter-defibrillators collect advanced diagnostics on the progression of the patient's heart disease. Device technology has progressed to allow wireless remote monitoring with automatic clinician alerts to replace some scheduled in-office visits. Methods The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) study was a multicenter, prospective, randomized evaluation involving 1,997 patients from 136 clinical sites who underwent insertion of an implantable cardioverter-defibrillator (including cardiac resynchronization therapy devices) and were followed up for 15 months. Health care utilization data included all CV-related hospitalizations, emergency department visits, and clinic office visits. Results The median time from clinical event to clinical decision per patient was reduced from 22 days in the in-office arm to 4.6 days in the remote arm (p < 0.001). The health care utilization data revealed a decrease in mean length of stay per CV hospitalization visit from 4.0 days in the in-office arm to 3.3 days in the remote arm (p = 0.002). Conclusions Wireless remote monitoring with automatic clinician alerts as compared with standard in-office follow-up significantly reduced the time to a clinical decision in response to clinical events and was associated with a significant reduction in mean length of CV hospital stay. (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision [CONNECT]; NCT00402246).
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Integration with EHR may come across several obstacles, including demand for budget and resources, handling sensitive information, and interoperability issues.
“Admittedly, integration with EHR may come across several obstacles, including demand for budget and resources, handling sensitive information, and interoperability issues [33,52,118].”
From Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults (2024) · cites this paper as [33]
The Study limitations section discusses delayed activation of home monitors and clinicians not resetting alerts, while Statistical analysis discusses estimated hospitalization costs. Neither addresses obstacles to EHR integration. Searches for EHR interoperability, sensitive information, and budget or resource demands found no passage supporting the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Amiodarone or an Implantable Cardioverter–Defibrillator for Congestive Heart Failure
Bardy, G. H., Lee, K. L., Mark, D. B., Poole, J. E., Packer, D. L., Boineau, R., Domanski, M., Troutman, C., Anderson, J., Johnson, G., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043399 · Cited by 6,552 · see citing works
Bristow, M. R., Saxon, L. A., Boehmer, J., Krueger, S., Kass, D. A., De Marco, T., Carson, P., DiCarlo, L., DeMets, D., White, B. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032423 · Cited by 5,812 · see citing works
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419 · see citing works
Fuster, V., Rydén, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Le Heuzey, J.-Y., Kay, G. N., Lowe, J. E., et al. (2006) · Circulation · doi:10.1161/circulationaha.106.177292 · Cited by 2,805 · see citing works
Wang, T. J., Larson, M. G., Levy, D., Vasan, R. S., Leip, E. P., Wolf, P. A., D’Agostino, R. B., Murabito, J. M., Kannel, W. B., & Benjamin, E. J. (2003) · Circulation · doi:10.1161/01.cir.0000072767.89944.6e · Cited by 1,970 · see citing works
Glotzer, T. V., Daoud, E. G., Wyse, D. G., Singer, D. E., Ezekowitz, M. D., Hilker, C., Miller, C., Qi, D., & Ziegler, P. D. (2009) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.109.849638 · Cited by 879 · 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
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
Self-citationRemote Monitoring of Implantable Cardioverter Defibrillators: A Prospective Analysis
SCHOENFELD, M. H., COMPTON, S. J., MEAD, R. H., WEISS, D. N., SHERFESEE, L., ENGLUND, J., & MONGEON, L. R. (2004) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2004.00524.x · Cited by 194 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 13
- Moss AJ, Zareba W, Hall WJ, et al. Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejec- tion fraction. N Engl J Med 2002;346:877-83.
- Cleland JG, Daubert JC, Erdmann E, et al. The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Engl J Med 2005;352:1539 -49.
- Santini M, Ricci RP, Lunati M, et al. Remote monitoring of patients with biventricular defibrillators through the CareLink system improves clinical management of arrhythmias and heart failure episodes. J Interv Cardiac Electrophysiol 2009;24:53-61.
- Capucci A, Santini M, Padeletti L, et al. Monitored atrial fibrillation duration predicts arterial embolic events in patients suffering from bradycardia and atrial fibrillation implanted with antitachycardia pacemakers. J Am Coll Cardiol 2005;46:1913-20.
- Bala R, Callans D. The management of atrial fibrillation in heart failure. Curr Treatment Options Cardiovasc Med 2010;8:325-33.
- Daubert JP, Zareba W, Cannom DS, et al. Inappropriate implantable cardioverter-defibrillator shocks in MADIT II: frequency, mechanisms, predictors, and survival impact. J Am Coll Cardiol 2008;51:1357-65.
- Purerfellner H, Gillis AM, Holbrook R, Hettrick DA. Accuracy of atrial tachyarrhythmia detection in implantable devices with arrhyth- mia therapies. Pacing Clin Electrophysiol 2004;27:983-92.
- Passman RS, Weinberg KM, Freher M, et al. Accuracy of mode switch algorithms for detection of atrial tachyarrhythmias. J Cardio- vasc Electrophysiol 2004;15:773-7.
- Fuster V, Ryden LE, Cannom DS, et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation. Executive summary: a report of the American College of Cardiology/ American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guide- lines. J Am Coll Cardiol 2006;48:854 -906.
- Crossley G, Boyle A, Vitense H, Sherfesee L, Mead RH. Trial design of the clinical evaluation of remote notification to reduce time to clinical decision: the Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision (CONNECT) study. Am Heart J 2008;156:840 -6.
- Lawless J. Negative binomial and mixed Poisson regression. Can J Stat 1987;15:209 -25.
- Varma N, Epstein AE, Irimpen A, Schweikert R, Love C, for the TRUST Investigators. Efficacy and safety of automatic remote mon- itoring for implantable cardioverter-defibrillator follow-up: the Lumos-T Safely Reduces Routine Office Device Follow-Up (TRUST) trial. Circulation 2010;122:325-32.
- Crossley GH, Chen J, Choucair W, et al. Clinical benefits of remote versus transtelephonic monitoring of implanted pacemakers. J Am Coll Cardiol 2009;54:2012-9.
Cited by
Sorted by citations
Interactive telemedicine: effects on professional practice and health care outcomes
Flodgren, G., Rachas, A., Farmer, A. J., Inzitari, M., & Shepperd, S. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002098.pub2 · Cited by 806 · see citing works
A randomized trial of long-term remote monitoring of pacemaker recipients (The COMPAS trial)
Mabo, P., Victor, F., Bazin, P., Ahres, S., Babuty, D., Da Costa, A., Binet, D., & Daubert, J.-C. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehr419 · Cited by 347 · see citing works
Landolina, M., Perego, G. B., Lunati, M., Curnis, A., Guenzati, G., Vicentini, A., Parati, G., Borghi, G., Zanaboni, P., Valsecchi, S., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.088971 · Cited by 344 · see citing works
Teleneurology and mobile technologies: the future of neurological care
Dorsey, E. R., Glidden, A. M., Holloway, M. R., Birbeck, G. L., & Schwamm, L. H. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2018.31 · Cited by 258 · see citing works
Lampert, R., Chung, E. H., Ackerman, M. J., Arroyo, A. R., Darden, D., Deo, R., Dolan, J., Etheridge, S. P., Gray, B. R., Harmon, K. G., et al. (2024) · Heart Rhythm · doi:10.1016/j.hrthm.2024.05.018 · Cited by 167 · 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
Novel Methods and Technologies for 21st-Century Clinical Trials: A Review
Dorsey, E. R., Venuto, C., Venkataraman, V., Harris, D. A., & Kieburtz, K. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4524 · Cited by 118 · 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
Yang, Z., Xu, X., Yao, B., Rogers, E., Zhang, S., Intille, S., Shara, N., Gao, G. G., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3659625 · Cited by 120 · see citing works
Leclercq, C., Witt, H., Hindricks, G., Katra, R. P., Albert, D., Belliger, A., Cowie, M. R., Deneke, T., Friedman, P., Haschemi, M., et al. (2022) · EP Europace · doi:10.1093/europace/euac052 · Cited by 109 · see citing works
Telemedicine and cardiac implants: what is the benefit?
Varma, N., & Ricci, R. P. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs388 · Cited by 102 · see citing works
SPEAR Trial: Smartphone Pediatric ElectrocARdiogram Trial
Nguyen, H. H., Van Hare, G. F., Rudokas, M., Bowman, T., & Silva, J. N. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0136256 · Cited by 66 · see citing works
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y.-F., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.120.009204 · Cited by 74 · see citing works
Cardiac resynchronization therapy: state of the art 2013
Yu, C.-M., & Hayes, D. L. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs454 · Cited by 68 · see citing works
e-Health innovation: time for engagement with the cardiology community
Cowie, M. R., Chronaki, C. E., & Vardas, P. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs153 · Cited by 30 · see citing works
Remote patient management using implantable devices
Movsowitz, C., & Mittal, S. (2011) · Journal of Interventional Cardiac Electrophysiology · doi:10.1007/s10840-011-9548-2 · Cited by 28 · see citing works
Remote monitoring of implantable devices: should we continue to ignore it?
Bertini, M., Marcantoni, L., Toselli, T., & Ferrari, R. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.09.033 · Cited by 28 · see citing works
- Authors
- Crossley, G. H., Boyle, A., Vitense, H., Chang, Y., & Mead, R. H.
- Affiliations
- Saint Thomas Health (US)
- Aurora St. Luke's Medical Center (US)
- Medtronic (United States) (US)
- Sequoia Hospital (US)
- Corresponding author
- Crossley, George H.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 57
- Issue
- 10
- Pages
- 1181-1189
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2183607324
- Cited by
- 526
- References
- 9
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 28 · 2023: 27 · 2022: 31 · 2021: 39 · 2020: 34 · 2019: 26 · 2018: 23 · 2017: 43 · 2016: 31 · 2015: 43 · 2014: 44 · 2013: 61 · 2012: 45
- FWCI
- 37.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medtronic
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- implantable cardioverter-defibrillator, wireless remote monitoring, cardiac arrhythmias, cardiovascular hospitalization, length of hospital stay, health care utilization, cardiac resynchronization therapy
- MeSH terms
- Aged, Arrhythmias, Cardiac, Cardiac Pacing, Artificial, Cardiovascular Diseases, Decision Making, Decision Support Techniques, Female, Humans, Length of Stay, Male, Middle Aged, Telemetry, Time Factors, Defibrillators, Implantable, Intention to Treat Analysis
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