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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementation and Evaluation of an Economic Model for Telestroke: Experience from Virtuall, France
|
|---|---|
| Published in |
Frontiers in Neurology, November 2017
|
| DOI | 10.3389/fneur.2017.00613 |
| Pubmed ID | |
| Authors |
Nolwenn Riou-Comte, Gioia Mione, Lisa Humbertjean, Arielle Brunner, Arnaud Vezain, Karine Lavandier, Sophie Marchal, Serge Bracard, Marc Debouverie, Sébastien Richard |
| Abstract |
Telestroke is recognized as a safe and time-efficient way of treating stroke patients. However, admission centers (spokes) are subject to financial charges which can make them reluctant to join the system. We implemented and assessed an economic model supporting our telestroke system, Virtuall, France, which includes one expert center (hub) and six spokes. The model is based on payment for the expertise provided by the hub, distribution of charges related to telemedicine according to the fees perceived by the spokes, and transfer of patients between the spokes and the hub. We performed a cost-benefit analysis for all patients included in Virtuall from January 2014 to December 2015 to assess the economic balance in each center. 321 patients were prospectively included in the study. Application of the economic model resulted in overall financial balance with funding of a dedicated medical service in the hub, and reduced costs directly related to telestroke by an average of 10% in the spokes. The conditions generating the highest costs for the spokes were: a patient returning from the hub for re-hospitalization (mean cost of $1,995/patient); management of patients treated by intravenous thrombolysis without transfer to the hub (mean cost of $2,075/patient). The most favorable financial condition for the spokes remained simple transfer of patients to the hub and no return (mean cost of $329/patient). We describe an economic model which can be applied to any telestroke system to ensure the optimal balance between hub and spoke centers. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 9% |
| Lecturer | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 18 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Neuroscience | 3 | 7% |
| Business, Management and Accounting | 3 | 7% |
| Nursing and Health Professions | 3 | 7% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 19 | 43% |
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 05 April 2018.
All research outputs
#14,368,528
of 23,008,860 outputs
Outputs from Frontiers in Neurology
#5,806
of 11,904 outputs
Outputs of similar age
#235,868
of 437,479 outputs
Outputs of similar age from Frontiers in Neurology
#81
of 190 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 437,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.