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Implementing evidence-based interventions in health care: application of the replicating effective programs framework

Overview of attention for article published in Implementation Science, December 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
463 Dimensions

Readers on

mendeley
559 Mendeley
citeulike
2 CiteULike
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Title
Implementing evidence-based interventions in health care: application of the replicating effective programs framework
Published in
Implementation Science, December 2007
DOI 10.1186/1748-5908-2-42
Pubmed ID
Authors

Amy M Kilbourne, Mary S Neumann, Harold A Pincus, Mark S Bauer, Ronald Stall

Abstract

We describe the use of a conceptual framework and implementation protocol to prepare effective health services interventions for implementation in community-based (i.e., non-academic-affiliated) settings. The framework is based on the experiences of the U.S. Centers for Disease Control and Prevention (CDC) Replicating Effective Programs (REP) project, which has been at the forefront of developing systematic and effective strategies to prepare HIV interventions for dissemination. This article describes the REP framework, and how it can be applied to implement clinical and health services interventions in community-based organizations. REP consists of four phases: pre-conditions (e.g., identifying need, target population, and suitable intervention), pre-implementation (e.g., intervention packaging and community input), implementation (e.g., package dissemination, training, technical assistance, and evaluation), and maintenance and evolution (e.g., preparing the intervention for sustainability). Key components of REP, including intervention packaging, training, technical assistance, and fidelity assessment are crucial to the implementation of effective interventions in health care. REP is a well-suited framework for implementing health care interventions, as it specifies steps needed to maximize fidelity while allowing opportunities for flexibility (i.e., local customizing) to maximize transferability. Strategies that foster the sustainability of REP as a tool to implement effective health care interventions need to be developed and tested.

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 559 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Brazil 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
India 1 <1%
Colombia 1 <1%
Costa Rica 1 <1%
Spain 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 539 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 96 17%
Student > Master 91 16%
Student > Ph. D. Student 71 13%
Other 41 7%
Student > Doctoral Student 41 7%
Other 131 23%
Unknown 88 16%
Readers by discipline Count As %
Medicine and Dentistry 139 25%
Social Sciences 95 17%
Psychology 59 11%
Nursing and Health Professions 53 9%
Business, Management and Accounting 11 2%
Other 87 16%
Unknown 115 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 May 2020.
All research outputs
#2,077,190
of 22,828,180 outputs
Outputs from Implementation Science
#468
of 1,721 outputs
Outputs of similar age
#7,829
of 156,147 outputs
Outputs of similar age from Implementation Science
#3
of 9 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 72% 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 156,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.