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Chronic disease self-management education courses: utilization by low-income, middle-aged participants

Overview of attention for article published in International Journal for Equity in Health, June 2017
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Chronic disease self-management education courses: utilization by low-income, middle-aged participants
Published in
International Journal for Equity in Health, June 2017
DOI 10.1186/s12939-017-0604-0
Pubmed ID
Authors

Lindsey N. Horrell, Shawn M. Kneipp, SangNam Ahn, Samuel D. Towne, Chivon A. Mingo, Marcia G. Ory, Matthew Lee Smith

Abstract

Individuals living in lower-income areas face an increased prevalence of chronic disease and, oftentimes, greater barriers to optimal self-management. Disparities in disease management are seen across the lifespan, but are particularly notable among middle-aged adults. Although evidence-based Chronic Disease Self-management Education courses are available to enhance self-management among members of this at-risk population, little information is available to determine the extent to which these courses are reaching those at greatest risk. The purpose of this study is to compare the extent to which middle-aged adults from lower- and higher-income areas have engaged in CDSME courses, and to identify the sociodemographic characteristics of lower-income, middle aged participants. The results of this study were produced through analysis of secondary data collected during the Communities Putting Prevention to Work: Chronic Disease Self-Management Program initiative. During this initiative, data was collected from 100,000 CDSME participants across 45 states within the United States, the District of Columbia, and Puerto Rico. Of the entire sample included in this analysis (19,365 participants), 55 people lived in the most impoverished counties. While these 55 participants represented just 0.3% of the total study sample, researchers found this group completed courses more frequently than participants from less impoverished counties once enrolled. These results signal a need to enhance participation of middle-aged adults from lower-income areas in CDSME courses. The results also provide evidence that can be used to inform future program delivery choices, including decisions regarding recruitment materials, program leaders, and program delivery sites, to better engage this population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 23%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 3 7%
Researcher 3 7%
Other 2 5%
Unknown 17 39%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Medicine and Dentistry 5 11%
Social Sciences 5 11%
Mathematics 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 14%
Unknown 19 43%
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 16 August 2018.
All research outputs
#12,750,621
of 22,982,639 outputs
Outputs from International Journal for Equity in Health
#1,244
of 1,919 outputs
Outputs of similar age
#145,084
of 315,729 outputs
Outputs of similar age from International Journal for Equity in Health
#38
of 52 outputs
Altmetric has tracked 22,982,639 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 1,919 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 34th percentile – i.e., 34% 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 315,729 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 53% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.