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The Benefits of Patient Involvement for Translational Research

Overview of attention for article published in Health Care Analysis, December 2014
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Title
The Benefits of Patient Involvement for Translational Research
Published in
Health Care Analysis, December 2014
DOI 10.1007/s10728-014-0289-0
Pubmed ID
Authors

Lieke van der Scheer, Elisa Garcia, Anna Laura van der Laan, Simone van der Burg, Marianne Boenink

Abstract

The question we raise in this paper is, whether patient involvement might be a beneficial way to help determine and achieve the aims of translational (TR) research and, if so, how to proceed. TR is said to ensure a more effective movement ('translation') of basic scientific findings to relevant and useful clinical applications. In view of the fact that patients are supposed to be the primary beneficiaries of such translation and also have relevant knowledge based on their experience, listening to their voice early on in the innovation process might very well increase the effectiveness of the translation. After explaining how the concept of TR emerged and what it entails, this paper shows through a literature review which arguments have been put forward to promote patient involvement in health care research in a more general sense. We examine whether, and if so how, these arguments are relevant for the discourse on TR and we identify pitfalls and dilemmas. Ultimately, we conclude that it may be worthwhile to experiment with patient involvement in TR but that the design of such involvement requires careful consideration.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 21%
Student > Ph. D. Student 15 18%
Student > Bachelor 8 10%
Student > Master 8 10%
Professor 5 6%
Other 14 17%
Unknown 15 18%
Readers by discipline Count As %
Medicine and Dentistry 14 17%
Social Sciences 12 15%
Nursing and Health Professions 7 9%
Psychology 7 9%
Biochemistry, Genetics and Molecular Biology 5 6%
Other 18 22%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Health Care Analysis
#254
of 296 outputs
Outputs of similar age
#255,749
of 353,121 outputs
Outputs of similar age from Health Care Analysis
#1
of 1 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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