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How do clinicians use implementation tools to apply breast cancer screening guidelines to practice?

Overview of attention for article published in Implementation Science, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
How do clinicians use implementation tools to apply breast cancer screening guidelines to practice?
Published in
Implementation Science, June 2018
DOI 10.1186/s13012-018-0765-2
Pubmed ID
Authors

Heather Armson, Stefanie Roder, Tom Elmslie, Sobia Khan, Sharon E. Straus

Abstract

Implementation tools (iTools) may enhance uptake of guidelines. However, little evidence exists on their use by primary care clinicians. This study explored which iTools clinicians used and how often; how satisfied clinicians were with the tools; whether tool use was associated with practice changes; and identified mediators for practice change(s) related to breast cancer screening (BCS). Canadian primary care providers who are members of the Practice-Based Small Group Learning Program (n = 1464) were invited to participate in this mixed methods study. An educational module was discussed in a small group learning context, and data collection included an on-line survey, practice reflection tools (PRTs), and interviews. The module included both the Canadian Task Force on Preventive Health Care revised guideline on BCS and iTools for clinician and/or patient use. After discussing the module and at 3 months, participants completed PRTs identifying their planned practice change(s) and documenting implementation outcome(s). Use of the iTools was explored via online survey and individual interviews. Seventy participants agreed to participate. Of these, 48 participated in the online survey, 43 completed PRTs and 14 were interviewed. Most survey participants (77%) reported using at least one of seven tools available for implementing BCS guideline. Of these (78%) reported using more than one tool. Almost all participants used tools for clinicians (92%) and 62% also used tools for patients. As more tools were used, more practice changes were reported on the survey and PRTs. Interviews provided additional findings. Once information from an iTool was internalized, there was no further need for the tool. Participants did not use tools (23%) due to disagreements with the BCS guideline, patients' expectations, and/or experiences with diagnosis of breast cancer. This study found that clinicians use tools to implement practice changes related to BCS guideline. Tools developed for clinicians were used to understand and consolidate the recommendations before tools to be used with patients were employed to promote decision-making. Mediating factors that impacted tool use confirmed previous research. Finally, use of some iTools decreased over time because information was internalized.

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X Demographics

The data shown below were collected from the profiles of 16 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Master 10 12%
Researcher 7 9%
Other 5 6%
Student > Bachelor 4 5%
Other 9 11%
Unknown 34 42%
Readers by discipline Count As %
Nursing and Health Professions 14 17%
Medicine and Dentistry 12 15%
Social Sciences 5 6%
Psychology 4 5%
Engineering 2 2%
Other 6 7%
Unknown 38 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 October 2019.
All research outputs
#4,193,543
of 25,887,951 outputs
Outputs from Implementation Science
#755
of 1,823 outputs
Outputs of similar age
#73,960
of 343,744 outputs
Outputs of similar age from Implementation Science
#19
of 40 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 58% 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 343,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.