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Piloting the Use of Patient-Specific Cardiac Models as a Novel Tool to Facilitate Communication During Cinical Consultations

Overview of attention for article published in Pediatric Cardiology, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 1,412)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 blog
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9 X users

Citations

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94 Dimensions

Readers on

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130 Mendeley
Title
Piloting the Use of Patient-Specific Cardiac Models as a Novel Tool to Facilitate Communication During Cinical Consultations
Published in
Pediatric Cardiology, February 2017
DOI 10.1007/s00246-017-1586-9
Pubmed ID
Authors

Giovanni Biglino, Despina Koniordou, Marisa Gasparini, Claudio Capelli, Lindsay-Kay Leaver, Sachin Khambadkone, Silvia Schievano, Andrew M. Taylor, Jo Wray

Abstract

This pilot study aimed to assess the impact of using patient-specific three-dimensional (3D) models of congenital heart disease (CHD) during consultations with adolescent patients. Adolescent CHD patients (n = 20, age 15-18 years, 15 male) were asked to complete two questionnaires during a cardiology transition clinic at a specialist centre. The first questionnaire was completed just before routine consultation with the cardiologist, the second just after the consultation. During the consultation, each patient was presented with a 3D full heart model realised from their medical imaging data. The model was used by the cardiologist to point to main features of the CHD. Outcome measures included rating of health status, confidence in explaining their condition to others, name and features of their CHD (as a surrogate for CHD knowledge), impact of CHD on their lifestyle, satisfaction with previous/current visits, positive/negative features of the 3D model, and open-ended feedback. Significant improvements were registered in confidence in explaining their condition to others (p = 0.008), knowledge of CHD (p < 0.001) and patients' satisfaction (p = 0.005). Descriptions of CHD and impact on lifestyle were more eloquent after seeing a 3D model. The majority of participants reported that models helped their understanding and improved their visit, with a non-negligible 30% of participants indicating that the model made them feel more anxious about their condition. Content analysis of open-ended feedback revealed an overall positive attitude of the participants toward 3D models. Clinical translation of 3D models of CHD for communication purposes warrants further exploration in larger studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 17%
Student > Master 18 14%
Student > Bachelor 13 10%
Student > Ph. D. Student 10 8%
Student > Postgraduate 8 6%
Other 27 21%
Unknown 32 25%
Readers by discipline Count As %
Medicine and Dentistry 38 29%
Engineering 12 9%
Biochemistry, Genetics and Molecular Biology 6 5%
Unspecified 4 3%
Business, Management and Accounting 3 2%
Other 22 17%
Unknown 45 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 August 2019.
All research outputs
#2,343,553
of 22,955,959 outputs
Outputs from Pediatric Cardiology
#38
of 1,412 outputs
Outputs of similar age
#46,747
of 310,174 outputs
Outputs of similar age from Pediatric Cardiology
#2
of 22 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,412 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 97% 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 310,174 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 84% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.