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First outline and baseline data of a randomized, controlled multicenter trial to evaluate the health economic impact of home telemonitoring in chronic heart failure – CardioBBEAT

Overview of attention for article published in Trials, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

1 policy source
7 tweeters


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Readers on

269 Mendeley
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First outline and baseline data of a randomized, controlled multicenter trial to evaluate the health economic impact of home telemonitoring in chronic heart failure – CardioBBEAT
Published in
Trials, August 2015
DOI 10.1186/s13063-015-0886-8
Pubmed ID

Reiner Hofmann, Heinz Völler, Klaus Nagels, Dominik Bindl, Eik Vettorazzi, Ronny Dittmar, Walter Wohlgemuth, Till Neumann, Stefan Störk, Oliver Bruder, Karl Wegscheider, Eckhard Nagel, Eckart Fleck


Evidence that home telemonitoring for patients with chronic heart failure (CHF) offers clinical benefit over usual care is controversial as is evidence of a health economic advantage. Between January 2010 and June 2013, patients with a confirmed diagnosis of CHF were enrolled and randomly assigned to 2 study groups comprising usual care with and without an interactive bi-directional remote monitoring system (Motiva®). The primary endpoint in CardioBBEAT is the Incremental Cost-Effectiveness Ratio (ICER) established by the groups' difference in total cost and in the combined clinical endpoint "days alive and not in hospital nor inpatient care per potential days in study" within the follow-up of 12 months. A total of 621 predominantly male patients were enrolled, whereof 302 patients were assigned to the intervention group and 319 to the control group. Ischemic cardiomyopathy was the leading cause of heart failure. Despite randomization, subjects of the control group were more often in NYHA functional class III-IV, and exhibited peripheral edema and renal dysfunction more often. Additionally, the control and intervention groups differed in heart rhythm disorders. No differences existed regarding risk factor profile, comorbidities, echocardiographic parameters, especially left ventricular and diastolic diameter and ejection fraction, as well as functional test results, medication and quality of life. While the observed baseline differences may well be a play of chance, they are of clinical relevance. Therefore, the statistical analysis plan was extended to include adjusted analyses with respect to the baseline imbalances. CardioBBEAT provides prospective outcome data on both, clinical and health economic impact of home telemonitoring in CHF. The study differs by the use of a high evidence level randomized controlled trial (RCT) design along with actual cost data obtained from health insurance companies. Its results are conducive to informed political and economic decision-making with regard to home telemonitoring solutions as an option for health care. Overall, it contributes to developing advanced health economic evaluation instruments to be deployed within the specific context of the German Health Care System. ClinicalTrials.gov NCT02293252 ; date of registration: 10 November 2014.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
United Kingdom 1 <1%
United States 1 <1%
Cyprus 1 <1%
Unknown 264 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 21%
Student > Ph. D. Student 36 13%
Researcher 28 10%
Student > Bachelor 18 7%
Student > Doctoral Student 17 6%
Other 41 15%
Unknown 73 27%
Readers by discipline Count As %
Medicine and Dentistry 65 24%
Nursing and Health Professions 38 14%
Psychology 23 9%
Social Sciences 11 4%
Computer Science 8 3%
Other 38 14%
Unknown 86 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2016.
All research outputs
of 21,702,786 outputs
Outputs from Trials
of 5,542 outputs
Outputs of similar age
of 250,188 outputs
Outputs of similar age from Trials
of 1 outputs
Altmetric has tracked 21,702,786 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,542 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them