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Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings

Overview of attention for article published in Journal of Genetic Counseling, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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6 X users

Citations

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12 Dimensions

Readers on

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31 Mendeley
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Title
Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings
Published in
Journal of Genetic Counseling, May 2018
DOI 10.1007/s10897-018-0262-4
Pubmed ID
Authors

Erica M. Bednar, Michael T. Walsh, Ellen Baker, Kimberly I. Muse, Holly D. Oakley, Rebekah C. Krukenberg, Cara S. Dresbold, Sandra B. Jenkinson, Amanda L. Eppolito, Kelly B. Teed, Molly H. Klein, Nichole A. Morman, Elizabeth C. Bowdish, Pauline Russ, Emaline E. Wise, Julia N. Cooper, Michael W. Method, John W. Henson, Andrew V. Grainger, Banu K. Arun, Karen H. Lu

Abstract

An environmental scan (ES) is an efficient mixed-methods approach to collect and interpret relevant data for strategic planning and project design. To date, the ES has not been used nor evaluated in the clinical cancer genetics setting. We created and implemented an ES to inform the design of a quality improvement (QI) project to increase the rates of adherence to national guidelines for cancer genetic counseling and genetic testing at three unique oncology care settings (OCS). The ES collected qualitative and quantitative data from reviews of internal processes, past QI efforts, the literature, and each OCS. The ES used a data collection form and semi-structured interviews to aid in data collection. The ES was completed within 6 months, and sufficient data were captured to identify opportunities and threats to the QI project's success, as well as potential barriers to, and facilitators of guideline-based cancer genetics services at each OCS. Previously unreported barriers were identified, including inefficient genetic counseling appointment scheduling processes and the inability to track referrals, genetics appointments, and genetic test results within electronic medical record systems. The ES was a valuable process for QI project planning at three OCS and may be used to evaluate genetics services in other settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Master 4 13%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 6%
Other 2 6%
Other 5 16%
Unknown 11 35%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Social Sciences 4 13%
Economics, Econometrics and Finance 2 6%
Psychology 2 6%
Business, Management and Accounting 1 3%
Other 4 13%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 May 2018.
All research outputs
#7,457,985
of 23,057,470 outputs
Outputs from Journal of Genetic Counseling
#488
of 1,163 outputs
Outputs of similar age
#128,768
of 327,739 outputs
Outputs of similar age from Journal of Genetic Counseling
#4
of 15 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 57% 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 327,739 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 60% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.