Title |
Bringing cohort studies to the bedside: framework for a green button to support clinical decision-making
|
---|---|
Published in |
Journal of Comparative Effectiveness Research, May 2015
|
DOI | 10.2217/cer.15.12 |
Pubmed ID | |
Authors |
Blanca Gallego, Scott R Walter, Richard O Day, Adam G Dunn, Vijay Sivaraman, Nigam Shah, Christopher A Longhurst, Enrico Coiera |
Abstract |
When providing care, clinicians are expected to take note of clinical practice guidelines, which offer recommendations based on the available evidence. However, guidelines may not apply to individual patients with comorbidities, as they are typically excluded from clinical trials. Guidelines also tend not to provide relevant evidence on risks, secondary effects and long-term outcomes. Querying the electronic health records of similar patients may for many provide an alternate source of evidence to inform decision-making. It is important to develop methods to support these personalized observational studies at the point-of-care, to understand when these methods may provide valid results, and to validate and integrate these findings with those from clinical trials. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 23% |
Australia | 4 | 18% |
United Kingdom | 4 | 18% |
France | 1 | 5% |
Unknown | 8 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 50% |
Scientists | 7 | 32% |
Practitioners (doctors, other healthcare professionals) | 4 | 18% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 7% |
Mexico | 1 | 1% |
Spain | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 77 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 28% |
Researcher | 15 | 17% |
Student > Master | 7 | 8% |
Professor > Associate Professor | 6 | 7% |
Student > Doctoral Student | 4 | 5% |
Other | 16 | 19% |
Unknown | 14 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 27% |
Computer Science | 22 | 26% |
Agricultural and Biological Sciences | 4 | 5% |
Business, Management and Accounting | 4 | 5% |
Engineering | 4 | 5% |
Other | 14 | 16% |
Unknown | 15 | 17% |