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Cost-Effectiveness of the Chronic Disease Self-Management Program: Implications for Community-Based Organizations

Overview of attention for article published in Frontiers in Public Health, April 2015
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Title
Cost-Effectiveness of the Chronic Disease Self-Management Program: Implications for Community-Based Organizations
Published in
Frontiers in Public Health, April 2015
DOI 10.3389/fpubh.2015.00027
Pubmed ID
Authors

Rashmita Basu, Marcia G. Ory, Samuel D. Towne, Matthew Lee Smith, Angela K. Hochhalter, SangNam Ahn

Abstract

Chronic conditions are the leading cause of growing healthcare spending, disability, and death in the U.S. In the wake of national health reform, policy makers and healthcare professionals are becoming increasingly concerned in containing healthcare costs while improving quality of patient care. A basic policy question is whether the Chronic Disease Self-Management Program (CDSMP), a widely distributed evidenced-based self-managed program, can be cost-effective in managing chronic conditions while improving quality of life. Utilizing data from the National Study of CDSMP, the primary objective of the current study is to estimate cost-effectiveness of the CDSMP program among individuals with at least one chronic condition. The second objective is to determine how cost-effectiveness ratios vary by depression status. EuroQol-5D (EQ-5D) was used to measure health-related quality of life (HRQOL) of CDSMP participants, which was then converted to quality-adjusted life years (QALYs) for cost-effectiveness analysis. Participants who completed the CDSMP program experienced higher EQ-5D scores from baseline to 12-month follow-up (increased from 0.736 to 0.755; p < 0.001). The incremental cost-effectiveness ratio (ICER) ranges from $83,285 to $31,285 per QALYs, which can be comparable to the common benchmark of $50,000/QALYs. ICER by baseline depression status indicates that it will cost more per QALYs gained for those diagnosed with depression based on their Patient Health Questionnaire-8 score. However, cautions should be taken while considering this point estimate too literally because the average cost for CDSMP participants was a rough estimate and based on several simplifying assumptions. Identifying cost-effective strategies that can lower the burden of chronic disease among community-dwelling adults is critical for decision makers in allocating limited resources. Policy makers and community organizations can use this information to guide funding decisions and delivery of CDSMP programs for individuals with multiple chronic health conditions.

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The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 20%
Student > Doctoral Student 7 11%
Researcher 5 8%
Student > Bachelor 5 8%
Student > Ph. D. Student 4 6%
Other 13 20%
Unknown 18 28%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Nursing and Health Professions 13 20%
Social Sciences 6 9%
Psychology 4 6%
Economics, Econometrics and Finance 4 6%
Other 4 6%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2015.
All research outputs
#15,351,145
of 22,834,308 outputs
Outputs from Frontiers in Public Health
#4,512
of 9,870 outputs
Outputs of similar age
#157,523
of 265,151 outputs
Outputs of similar age from Frontiers in Public Health
#40
of 74 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 49th percentile – i.e., 49% 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 265,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.