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A tool for evaluating the potential for cost-effective outcomes measurement

Overview of attention for article published in International Journal of General Medicine, April 2012
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12 Mendeley
Title
A tool for evaluating the potential for cost-effective outcomes measurement
Published in
International Journal of General Medicine, April 2012
DOI 10.2147/ijgm.s30546
Pubmed ID
Authors

Melinda M Somasekhar, Alfred Bove, Chris Rausch, James Degnan, Cathy T King, Arnold Meyer

Abstract

Cost related to higher-level outcomes measurement is often very high. However, the cost burden is felt even more by smaller, less well-funded continuing medical education (CME) programs. It is possible to overcome financial and participant-related barriers to measuring Level 6 outcomes, which are patient health outcomes. The Temple University School of Medicine's Office for Continuing Medical Education developed a sequential tool for attaining cost-effective outcomes measurement for determining the likelihood of a CME intervention to produce significant changes in physician performance. The appropriate selection of the CME topic and specific practice change indictors drive this tool. This tool walks providers through a simple YES or NO decision-making list that guides them toward an accurate prediction of potential programmatic outcomes. Factors considered during the decision-making process include whether: (a) the intended change(s) will have a substantial impact on current practice; (b) the intended practice change(s) are well supported by clinical data, specialty organization/government recommendations, expert opinion, etc; (c) the potential change(s) affects a large population; (d) external factors, such as system pressures, media pressures, financial pressures, patient pressures, safety pressures, etc, are driving this intended change in performance; (e) there is a strong motivation on the part of physicians to implement the intended change(s); and (f) the intended change(s) is relatively easy to implement within any system of practice. If each of these questions can be responded to positively, there is a higher likelihood that the intended practice-related change(s) will occur. Such change can be measured using a simpler and less costly methodology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Canada 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Other 2 17%
Researcher 2 17%
Student > Ph. D. Student 2 17%
Lecturer > Senior Lecturer 1 8%
Lecturer 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Social Sciences 2 17%
Economics, Econometrics and Finance 1 8%
Business, Management and Accounting 1 8%
Nursing and Health Professions 1 8%
Other 1 8%
Unknown 2 17%
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 03 April 2013.
All research outputs
#14,278,028
of 25,374,917 outputs
Outputs from International Journal of General Medicine
#467
of 1,653 outputs
Outputs of similar age
#95,024
of 173,050 outputs
Outputs of similar age from International Journal of General Medicine
#13
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 71% 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 173,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.