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What Is the Strength of Evidence for Heart Failure Disease-Management Programs?

Overview of attention for article published in JACC, July 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
1 policy source
wikipedia
3 Wikipedia pages

Citations

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73 Dimensions

Readers on

mendeley
54 Mendeley
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3 CiteULike
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Title
What Is the Strength of Evidence for Heart Failure Disease-Management Programs?
Published in
JACC, July 2009
DOI 10.1016/j.jacc.2009.04.051
Pubmed ID
Authors

Alexander M. Clark, Lori A. Savard, David R. Thompson

Abstract

Heart failure (HF) disease-management programs are increasingly common. However, some large and recent trials of programs have not reported positive findings. There have also been parallel recent advances in reporting standards and theory around complex nonpharmacological interventions. These developments compel reconsideration in this Viewpoint of how research into HF-management programs should be evaluated, the quality, specificity, and usefulness of this evidence, and the recommendations for future research. Addressing the main determinants of intervention effectiveness by using the PICO (Patient, Intervention, Comparison, and Outcome) approach and the recent CONSORT (Consolidated Standards of Reporting Trials) statement on nonpharmacological trials, we will argue that in both current trials and meta-analyses, interventions and comparisons are not sufficiently well described; that complex programs have been excessively oversimplified; and that potentially salient differences in programs, populations, and settings are not incorporated into analyses. In preference to more general meta-analyses of programs, adequate descriptions are first needed of populations, interventions, comparisons, and outcomes in past and future trials. This could be achieved via a systematic survey of study authors based on the CONSORT statement. These more detailed data on studies should be incorporated into future meta-analyses of comparable trials and used with other techniques such as patient-based outcomes data and meta-regression. Although trials and meta-analyses continue to have potential to generate useful evidence, a more specific evidence base is needed to support the development of effective programs for different populations and settings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Spain 1 2%
United States 1 2%
Canada 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 7 13%
Professor > Associate Professor 7 13%
Student > Postgraduate 5 9%
Student > Master 5 9%
Other 13 24%
Unknown 6 11%
Readers by discipline Count As %
Medicine and Dentistry 30 56%
Nursing and Health Professions 6 11%
Computer Science 3 6%
Social Sciences 2 4%
Psychology 2 4%
Other 3 6%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 December 2021.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from JACC
#7,724
of 16,741 outputs
Outputs of similar age
#23,047
of 122,278 outputs
Outputs of similar age from JACC
#33
of 96 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 122,278 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 72% of its contemporaries.
We're also able to compare this research output to 96 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 57% of its contemporaries.