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Adapting clinical practice guidelines for diabetic retinopathy in Kenya: process and outputs

Overview of attention for article published in Implementation Science, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

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5 tweeters

Citations

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3 Dimensions

Readers on

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37 Mendeley
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Title
Adapting clinical practice guidelines for diabetic retinopathy in Kenya: process and outputs
Published in
Implementation Science, June 2018
DOI 10.1186/s13012-018-0773-2
Pubmed ID
Authors

Nyawira Mwangi, Muchai Gachago, Michael Gichangi, Stephen Gichuhi, Kibata Githeko, Atieno Jalango, Jefitha Karimurio, Joseph Kibachio, Lawrence Muthami, Nancy Ngugi, Carmichael Nduri, Patrick Nyaga, Joseph Nyamori, Alain Nazaire Mbongo Zindamoyen, Covadonga Bascaran, Allen Foster

Abstract

The use of clinical practice guidelines envisages augmenting quality and best practice in clinical outcomes. Generic guidelines that are not adapted for local use often fail to produce these outcomes. Adaptation is a systematic and rigorous process that should maintain the quality and validity of the guideline, while making it more usable by the targeted users. Diverse skills are required for the task of adaptation. Although adapting a guideline is not a guarantee that it will be implemented, adaptation may improve acceptance and adherence to its recommendations. We describe the process used to adapt clinical guidelines for diabetic retinopathy in Kenya, using validated tools and manuals. A technical working group consisting of volunteers provided leadership. The process was intensive and required more time than anticipated. Flexibility in the process and concurrent health system activities contributed to the success of the adaptation. The outputs from the adaptation include the guidelines in different formats, point of care instruments, as well as tools for training, monitoring, quality assurance and patient education. Guideline adaptation is applicable and feasible at the national level in Kenya. However, it is labor- and time -intensive. It presents a valuable opportunity to develop several additional outputs that are useful at the point of care.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 6 16%
Other 4 11%
Student > Ph. D. Student 4 11%
Student > Postgraduate 3 8%
Other 6 16%
Unknown 6 16%
Readers by discipline Count As %
Medicine and Dentistry 16 43%
Nursing and Health Professions 3 8%
Economics, Econometrics and Finance 3 8%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 3%
Other 4 11%
Unknown 8 22%

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 20 June 2018.
All research outputs
#6,791,965
of 13,110,606 outputs
Outputs from Implementation Science
#1,039
of 1,366 outputs
Outputs of similar age
#113,223
of 270,187 outputs
Outputs of similar age from Implementation Science
#14
of 16 outputs
Altmetric has tracked 13,110,606 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 22nd percentile – i.e., 22% 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 270,187 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 57% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.