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| Title |
Introduction of new technologies and decision making processes: a framework to adapt a Local Health Technology Decision Support Program for other local settings
|
|---|---|
| Published in |
Medical Devices : Evidence and Research, November 2013
|
| DOI | 10.2147/mder.s51384 |
| Pubmed ID | |
| Authors |
Paule Poulin, Lea Austen, Catherine M Scott, Michelle Poulin, Nadine Gall, Judy Seidel, René Lafrenière |
| Abstract |
Introducing new health technologies, including medical devices, into a local setting in a safe, effective, and transparent manner is a complex process, involving many disciplines and players within an organization. Decision making should be systematic, consistent, and transparent. It should involve translating and integrating scientific evidence, such as health technology assessment (HTA) reports, with context-sensitive evidence to develop recommendations on whether and under what conditions a new technology will be introduced. However, the development of a program to support such decision making can require considerable time and resources. An alternative is to adapt a preexisting program to the new setting. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 18% |
| Spain | 2 | 12% |
| United States | 1 | 6% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 76% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 75 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 10 | 13% |
| Student > Bachelor | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 7 | 9% |
| Other | 10 | 13% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 21% |
| Social Sciences | 10 | 13% |
| Business, Management and Accounting | 8 | 11% |
| Engineering | 6 | 8% |
| Nursing and Health Professions | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 20 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 02 November 2018.
All research outputs
#3,450,629
of 25,707,225 outputs
Outputs from Medical Devices : Evidence and Research
#48
of 313 outputs
Outputs of similar age
#30,766
of 227,507 outputs
Outputs of similar age from Medical Devices : Evidence and Research
#1
of 9 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 84% of its peers.
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 227,507 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them