Title |
Impact on Clinical and Cost Outcomes of a Centralized Approach to Acute Stroke Care in London: A Comparative Effectiveness Before and After Model
|
---|---|
Published in |
PLOS ONE, August 2013
|
DOI | 10.1371/journal.pone.0070420 |
Pubmed ID | |
Authors |
Rachael Maree Hunter, Charles Davie, Anthony Rudd, Alan Thompson, Hilary Walker, Neil Thomson, James Mountford, Lee Schwamm, John Deanfield, Kerry Thompson, Bikash Dewan, Minesh Mistry, Sadik Quoraishi, Stephen Morris |
Abstract |
In July 2010 a new multiple hub-and-spoke model for acute stroke care was implemented across the whole of London, UK, with continuous specialist care during the first 72 hours provided at 8 hyper-acute stroke units (HASUs) compared to the previous model of 30 local hospitals receiving acute stroke patients. We investigated differences in clinical outcomes and costs between the new and old models. |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 3 | 25% |
Ireland | 1 | 8% |
Norway | 1 | 8% |
Australia | 1 | 8% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Science communicators (journalists, bloggers, editors) | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 3% |
Unknown | 96 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 16% |
Student > Ph. D. Student | 12 | 12% |
Student > Master | 12 | 12% |
Student > Bachelor | 8 | 8% |
Lecturer > Senior Lecturer | 4 | 4% |
Other | 22 | 22% |
Unknown | 25 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 24% |
Economics, Econometrics and Finance | 8 | 8% |
Nursing and Health Professions | 7 | 7% |
Agricultural and Biological Sciences | 4 | 4% |
Neuroscience | 3 | 3% |
Other | 20 | 20% |
Unknown | 33 | 33% |