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X Demographics
Mendeley readers
Title |
Clinical Integration of Next Generation Sequencing: Coverage and Reimbursement Challenges
|
---|---|
Published in |
The Journal of Law, Medicine & Ethics, January 2021
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DOI | 10.1111/jlme.12160 |
Pubmed ID | |
Authors |
Patricia A. Deverka, Jennifer C. Dreyfus |
Abstract |
Public and private payers face complex decisions regarding whether, when, and how to cover and reimburse for next generation sequencing (NGS)-based tests. Yet a predictable reimbursement pathway is critical both for patient access and incentives to provide the market with better clinical evidence. While preliminary data suggests that payers will use similar evidentiary standards as those used to evaluate established molecular diagnostic tests, the volume and complexity of information generated by NGS raises a host of additional considerations for payers that are specific to this technology. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Belgium | 1 | 1% |
Unknown | 72 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 15 | 20% |
Student > Ph. D. Student | 12 | 16% |
Researcher | 10 | 13% |
Student > Master | 10 | 13% |
Student > Postgraduate | 4 | 5% |
Other | 11 | 15% |
Unknown | 13 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 20% |
Medicine and Dentistry | 14 | 19% |
Biochemistry, Genetics and Molecular Biology | 10 | 13% |
Economics, Econometrics and Finance | 4 | 5% |
Social Sciences | 4 | 5% |
Other | 10 | 13% |
Unknown | 18 | 24% |