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Cancer Counseling of Low‐Income Limited English Proficient Latina Women Using Medical Interpreters: Implications for Shared Decision‐Making

Overview of attention for article published in Journal of Genetic Counseling, August 2017
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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)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 policy source
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Citations

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140 Mendeley
Title
Cancer Counseling of Low‐Income Limited English Proficient Latina Women Using Medical Interpreters: Implications for Shared Decision‐Making
Published in
Journal of Genetic Counseling, August 2017
DOI 10.1007/s10897-017-0132-5
Pubmed ID
Authors

Daniella Kamara, Jon Weil, Janey Youngblom, Claudia Guerra, Galen Joseph

Abstract

In cancer genetic counseling (CGC), communication across language and culture challenges the model of practice based on shared decision-making. To date, little research has examined the decision-making process of low-income, limited English proficiency (LEP) patients in CGC. This study identified communication patterns in CGC sessions with this population and assessed how these patterns facilitate or inhibit the decision-making process during the sessions. We analyzed 24 audio recordings of CGC sessions conducted in Spanish via telephone interpreters at two public hospitals. Patients were referred for risk of hereditary breast and ovarian cancer; all were offered genetic testing. Audio files were coded by two bilingual English-Spanish researchers and analyzed using conventional content analysis through an iterative process. The 24 sessions included 13 patients, 6 counselors, and 18 interpreters. Qualitative data analyses identified three key domains - Challenges Posed by Hypothetical Explanations, Misinterpretation by the Medical Interpreter, and Communication Facilitators - that reflect communication patterns and their impact on the counselor's ability to facilitate shared decision-making. Overall, we found an absence of patient participation in the decision-making process. Our data suggest that when counseling LEP Latina patients via medical interpreter, prioritizing information with direct utility for the patient and organizing information into short- and long-term goals may reduce information overload and improve comprehension for patient and interpreter. Further research is needed to test the proposed counseling strategies with this population and to assess how applicable our findings are to other populations.

X Demographics

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The data shown below were collected from the profiles of 8 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 20%
Student > Bachelor 16 11%
Researcher 13 9%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 11 8%
Other 19 14%
Unknown 41 29%
Readers by discipline Count As %
Medicine and Dentistry 23 16%
Nursing and Health Professions 18 13%
Social Sciences 14 10%
Biochemistry, Genetics and Molecular Biology 11 8%
Psychology 11 8%
Other 13 9%
Unknown 50 36%
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 15 June 2021.
All research outputs
#3,743,320
of 22,997,544 outputs
Outputs from Journal of Genetic Counseling
#207
of 1,159 outputs
Outputs of similar age
#67,220
of 318,007 outputs
Outputs of similar age from Journal of Genetic Counseling
#5
of 28 outputs
Altmetric has tracked 22,997,544 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 1,159 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 done well, scoring higher than 82% 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 318,007 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 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.