| Title |
A comparison of cancer risk assessment and testing outcomes in patients from underserved vs. tertiary care settings
|
|---|---|
| Published in |
Journal of Community Genetics, November 2017
|
| DOI | 10.1007/s12687-017-0347-z |
| Pubmed ID | |
| Authors |
Huma Q. Rana, Sarah R. Cochrane, Elaine Hiller, Ruth N. Akindele, Callie M. Nibecker, Ludmila A. Svoboda, Angel M. Cronin, Judy E. Garber, Christopher S. Lathan |
| Abstract |
In cancer genetics, technological advances (next generation sequencing) and the expansion of genetic test options have resulted in lowered costs and increased access to genetic testing. Despite this, the majority of patients utilizing cancer genetics services lack diversity of gender, ethnicity, and socioeconomic status. Through retrospective chart review, we compared outcomes of cancer genetics consultations at a tertiary cancer center and a Federally Qualified Health Center (FQHC) (58 tertiary and 23 FQHC patients) from 2013 to 2015. The two groups differed in race, ethnicity, use of translator services, and type of insurance coverage. There were also significant differences in completeness of family history information, with more missing information about relatives in the FQHC group. In spite of these differences, genetic testing rates among those offered testing were comparable across the two groups with 74% of tertiary patients and 60% of FQHC patients completing testing. Implementation of community-based cancer genetics outreach clinics represents an opportunity to improve access to genetic counseling services, but more research is needed to develop effective counseling models for diverse patient populations. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 20% |
| Researcher | 7 | 20% |
| Student > Ph. D. Student | 5 | 14% |
| Other | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 34% |
| Social Sciences | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 December 2017.
All research outputs
#14,959,314
of 23,008,860 outputs
Outputs from Journal of Community Genetics
#244
of 369 outputs
Outputs of similar age
#251,108
of 437,882 outputs
Outputs of similar age from Journal of Community Genetics
#11
of 13 outputs
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