↓ Skip to main content

The impact of population-based disease management services for selected chronic conditions: the Costs to Australian Private Insurance - Coaching Health (CAPICHe) study protocol

Overview of attention for article published in BMC Public Health, February 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
173 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The impact of population-based disease management services for selected chronic conditions: the Costs to Australian Private Insurance - Coaching Health (CAPICHe) study protocol
Published in
BMC Public Health, February 2012
DOI 10.1186/1471-2458-12-114
Pubmed ID
Authors

Joshua M Byrnes, Stan Goldstein, Benjamin Venator, Christine Pollicino, Shu-Kay Ng, David Veroff, Christine Bennett, Paul A Scuffham

Abstract

Recent evidence from a large scale trial conducted in the United States indicates that enhancing shared decision-making and improving knowledge, self-management, and provider communication skills to at-risk patients can reduce health costs and utilisation of healthcare resources. Although this trial has provided a significant advancement in the evidence base for disease management programs it is still left for such results to be replicated and/or generalised for populations in other countries and other healthcare environments. This trial responds to the limited analyses on the effectiveness of providing chronic disease management services through telephone health coaching in Australia. The size of this trial and it's assessment of cost utility with respect to potentially preventable hospitalisations adds significantly to the body of knowledge to support policy and investment decisions in Australia as well as to the international debate regarding the effect of disease management programs on financial outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Portugal 1 <1%
Unknown 170 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 21%
Researcher 29 17%
Student > Ph. D. Student 23 13%
Student > Bachelor 12 7%
Student > Postgraduate 10 6%
Other 29 17%
Unknown 34 20%
Readers by discipline Count As %
Medicine and Dentistry 43 25%
Nursing and Health Professions 25 14%
Social Sciences 13 8%
Business, Management and Accounting 10 6%
Economics, Econometrics and Finance 7 4%
Other 33 19%
Unknown 42 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 June 2012.
All research outputs
#12,562,107
of 22,662,201 outputs
Outputs from BMC Public Health
#8,534
of 14,741 outputs
Outputs of similar age
#140,588
of 248,330 outputs
Outputs of similar age from BMC Public Health
#115
of 226 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 41st percentile – i.e., 41% 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 248,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.