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Impacts of Organizational Context on Quality Improvement

Overview of attention for article published in American Journal of Medical Quality, September 2012
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Article details
Title
Impacts of Organizational Context on Quality Improvement
Published in
American Journal of Medical Quality, September 2012
DOI 10.1177/1062860612456730
Pubmed ID
Authors
Abstract

Variation in how hospitals perform on similar quality improvement (QI) efforts argues for a need to understand how different organizational characteristics affect QI performance. The objective of this study was to use data-mining methods to evaluate relationships between measures of organizational characteristics and hospital QI performance. Organizational characteristics were extracted from 2 surveys and analyzed in 3 separate decision-tree models. The decision trees did not find any predictive associations in this sample of 100 hospitals participating in a national QI collaborative. Further model review identified that measures of QI Experience were associated with an ability to make improvements, whereas measures of Staffing and Culture were associated with an ability to sustain improvements. A key area for future research is to understand the challenges faced as QI teams transition from improving care to sustaining quality and to ascertain what organizational characteristics can best overcome those challenges.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
United Kingdom 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Master 7 14%
Other 4 8%
Professor 4 8%
Librarian 2 4%
Other 8 16%
Unknown 15 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Nursing and Health Professions 8 16%
Social Sciences 7 14%
Business, Management and Accounting 5 10%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 17 35%
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 09 May 2013.
All research outputs
#17,665,425
of 22,678,224 outputs
Outputs from American Journal of Medical Quality
#595
of 844 outputs
Outputs of similar age
#125,747
of 170,322 outputs
Outputs of similar age from American Journal of Medical Quality
#14
of 18 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 844 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 25th percentile – i.e., 25% 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 170,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.