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The SMART personalised self-management system for congestive heart failure: results of a realist evaluation

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 policy source
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3 X users
facebook
1 Facebook page

Citations

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32 Dimensions

Readers on

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135 Mendeley
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1 CiteULike
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Title
The SMART personalised self-management system for congestive heart failure: results of a realist evaluation
Published in
BMC Medical Informatics and Decision Making, November 2014
DOI 10.1186/s12911-014-0109-3
Pubmed ID
Authors

Yvonne K Bartlett, Annette Haywood, Claire L Bentley, Jack Parker, Mark S Hawley, Gail A Mountain, Susan Mawson

Abstract

BackgroundTechnology has the potential to provide support for self-management to people with congestive heart failure (CHF). This paper describes the results of a realist evaluation of the SMART Personalised Self-Management System (PSMS) for CHF.MethodsThe PSMS was used, at home, by seven people with CHF. Data describing system usage and usability as well as questionnaire and interview data were evaluated in terms of the context, mechanism and outcome hypotheses (CMOs) integral to realist evaluation.ResultsThe CHF PSMS improved heart failure related knowledge in those with low levels of knowledge at baseline, through providing information and quizzes. Furthermore, participants perceived the self-regulatory aspects of the CHF PSMS as being useful in encouraging daily walking. The CMOs were revised to describe the context of use, and how this influences both the mechanisms and the outcomes.ConclusionsParticipants with CHF engaged with the PSMS despite some technological problems. Some positive effects on knowledge were observed as well as the potential to assist with changing physical activity behaviour. Knowledge of CHF and physical activity behaviour change are important self-management targets for CHF, and this study provides evidence to direct the further development of a technology to support these targets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
Unknown 130 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Student > Master 24 18%
Researcher 22 16%
Student > Bachelor 11 8%
Student > Doctoral Student 8 6%
Other 24 18%
Unknown 22 16%
Readers by discipline Count As %
Medicine and Dentistry 30 22%
Nursing and Health Professions 25 19%
Computer Science 14 10%
Social Sciences 14 10%
Psychology 11 8%
Other 14 10%
Unknown 27 20%
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
#5,754,582
of 22,925,760 outputs
Outputs from BMC Medical Informatics and Decision Making
#507
of 1,999 outputs
Outputs of similar age
#78,681
of 362,508 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 37 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,999 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 362,508 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 78% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.