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Mobile Technologies for Managing Heart Failure: A Systematic Review and Meta-Analysis

Overview of attention for article published in Telemedicine Journal and e-Health, December 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users
guideline
1 clinical guideline source

Readers on

mendeley
107 Mendeley
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Article details
Title
Mobile Technologies for Managing Heart Failure: A Systematic Review and Meta-Analysis
Published in
Telemedicine Journal and e-Health, December 2018
DOI 10.1089/tmj.2017.0269
Pubmed ID
Authors
Abstract

Randomized clinical trials (RCTs) conducted among heart failure (HF) patients have reported that mobile technologies can improve HF-related outcomes. Our aim was to conduct a meta-analysis to evaluate m-Health's impact on healthcare services utilization, mortality, and cost. We searched MEDLINE, Cochrane, CINAHL, and EMBASE for studies published between 1966 and May-2017. We included studies that compared the use of m-Health in HF patients to usual care. m-Health is defined as the use of mobile computing and communication technologies to record and transmit data. The outcomes were HF-related and all-cause hospital days, cost, admissions, and mortality. Our search strategy resulted in 1,494 articles. We included 10 RCTs and 1 quasi-experimental study, which represented 3,109 patients in North America and Europe. Patient average age range was 53-80 years, New York Heart Association (NYHA) class III, and Left Ventricular Ejection Fraction <50%. Patients were mostly monitored daily and followed for an average of 6 months. A reduction was seen in HF-related hospital days. Nonsignificant reductions were seen in HF-related cost, admissions, and mortality and total mortality. We found no significant differences for all-cause hospital days and admissions, and an increase in total cost. m-Health reduced HF-related hospital days, showed reduction trends in total mortality and HF-related admissions, mortality and cost, and increased total costs related to more clinic visits and implementation of new technologies. More studies reporting consistent quality outcomes are warranted to give conclusive information about the effectiveness and cost-effectiveness of m-Health interventions for HF.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 10%
Other 9 8%
Student > Ph. D. Student 9 8%
Researcher 9 8%
Student > Bachelor 8 7%
Other 21 20%
Unknown 40 37%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 26 24%
Nursing and Health Professions 11 10%
Engineering 7 7%
Computer Science 5 5%
Social Sciences 4 4%
Other 11 10%
Unknown 43 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 January 2021.
All research outputs
#10,524,008
of 34,376,207 outputs
Outputs from Telemedicine Journal and e-Health
#812
of 2,230 outputs
Outputs of similar age
#152,414
of 489,935 outputs
Outputs of similar age from Telemedicine Journal and e-Health
#17
of 44 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,230 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 63% 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 489,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.