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User input in iterative design for prevention product development: leveraging interdisciplinary methods to optimize effectiveness

Overview of attention for article published in Drug Delivery and Translational Research, June 2017
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Title
User input in iterative design for prevention product development: leveraging interdisciplinary methods to optimize effectiveness
Published in
Drug Delivery and Translational Research, June 2017
DOI 10.1007/s13346-017-0397-0
Pubmed ID
Authors

Kate M. Guthrie, Rochelle K. Rosen, Sara E. Vargas, Melissa Guillen, Arielle L. Steger, Melissa L. Getz, Kelley A. Smith, Jaime J. Ramirez, Erna M. Kojic

Abstract

The development of HIV-preventive topical vaginal microbicides has been challenged by a lack of sufficient adherence in later stage clinical trials to confidently evaluate effectiveness. This dilemma has highlighted the need to integrate translational research earlier in the drug development process, essentially applying behavioral science to facilitate the advances of basic science with respect to the uptake and use of biomedical prevention technologies. In the last several years, there has been an increasing recognition that the user experience, specifically the sensory experience, as well as the role of meaning-making elicited by those sensations, may play a more substantive role than previously thought. Importantly, the role of the user-their sensory perceptions, their judgements of those experiences, and their willingness to use a product-is critical in product uptake and consistent use post-marketing, ultimately realizing gains in global public health. Specifically, a successful prevention product requires an efficacious drug, an efficient drug delivery system, and an effective user. We present an integrated iterative drug development and user experience evaluation method to illustrate how user-centered formulation design can be iterated from the early stages of preclinical development to leverage the user experience. Integrating the user and their product experiences into the formulation design process may help optimize both the efficiency of drug delivery and the effectiveness of the user.

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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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Researcher 3 9%
Other 2 6%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 6 17%
Unknown 12 34%
Readers by discipline Count As %
Business, Management and Accounting 5 14%
Psychology 4 11%
Medicine and Dentistry 3 9%
Nursing and Health Professions 3 9%
Social Sciences 2 6%
Other 7 20%
Unknown 11 31%
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 31 August 2017.
All research outputs
#15,477,045
of 22,999,744 outputs
Outputs from Drug Delivery and Translational Research
#326
of 516 outputs
Outputs of similar age
#198,493
of 315,495 outputs
Outputs of similar age from Drug Delivery and Translational Research
#6
of 8 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 516 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 28th percentile – i.e., 28% 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 315,495 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.