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Rheumatic heart disease: infectious disease origin, chronic care approach

Overview of attention for article published in BMC Health Services Research, November 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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18 X users

Citations

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41 Dimensions

Readers on

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226 Mendeley
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Title
Rheumatic heart disease: infectious disease origin, chronic care approach
Published in
BMC Health Services Research, November 2017
DOI 10.1186/s12913-017-2747-5
Pubmed ID
Authors

Judith M Katzenellenbogen, Anna P Ralph, Rosemary Wyber, Jonathan R Carapetis

Abstract

Rheumatic heart disease (RHD) is a chronic cardiac condition with an infectious aetiology, causing high disease burden in low-income settings. Affected individuals are young and associated morbidity is high. However, RHD is relatively neglected due to the populations involved and its lower incidence relative to other heart diseases. In this narrative review, we describe how RHD care can be informed by and integrated with models of care developed for priority non-communicable diseases (coronary heart disease), and high-burden communicable diseases (tuberculosis). Examining the four-level prevention model (primordial through tertiary prevention) suggests primordial and primary prevention of RHD can leverage off existing tuberculosis control efforts, given shared risk factors. Successes in coronary heart disease control provide inspiration for similarly bold initiatives for RHD. Further, we illustrate how the Chronic Care Model (CCM), developed for use in non-communicable diseases, offers a relevant framework to approach RHD care. Systems strengthening through greater integration of services can improve RHD programs. Strengthening of systems through integration/linkages with other well-performing and resourced services in conjunction with policies to adopt the CCM framework for the secondary and tertiary prevention of RHD in settings with limited resources, has the potential to significantly reduce the burden of RHD globally. More research is required to provide evidence-based recommendations for policy and service design.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 15%
Student > Master 25 11%
Researcher 19 8%
Student > Postgraduate 14 6%
Other 13 6%
Other 32 14%
Unknown 90 40%
Readers by discipline Count As %
Medicine and Dentistry 60 27%
Nursing and Health Professions 29 13%
Social Sciences 11 5%
Biochemistry, Genetics and Molecular Biology 7 3%
Agricultural and Biological Sciences 4 2%
Other 18 8%
Unknown 97 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 January 2018.
All research outputs
#2,740,571
of 23,979,951 outputs
Outputs from BMC Health Services Research
#1,146
of 8,073 outputs
Outputs of similar age
#59,991
of 445,291 outputs
Outputs of similar age from BMC Health Services Research
#21
of 120 outputs
Altmetric has tracked 23,979,951 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,073 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 85% 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 445,291 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 86% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.