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A model for ‘reverse innovation’ in health care

Overview of attention for article published in Globalization and Health, August 2013
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Title
A model for ‘reverse innovation’ in health care
Published in
Globalization and Health, August 2013
DOI 10.1186/1744-8603-9-40
Pubmed ID
Authors

Jacqueline W DePasse, Patrick T Lee

Abstract

'Reverse innovation,' a principle well established in the business world, describes the flow of ideas from emerging to more developed economies. There is strong and growing interest in applying this concept to health care, yet there is currently no framework for describing the stages of reverse innovation or identifying opportunities to accelerate the development process. This paper combines the business concept of reverse innovation with diffusion of innovation theory to propose a model for reverse innovation as a way to innovate in health care. Our model includes the following steps: (1) identifying a problem common to lower- and higher-income countries; (2) innovation and spread in the low-income country (LIC); (3) crossover to the higher-income country (HIC); and (4) innovation and spread in the HIC. The crucial populations in this pathway, drawing from diffusion of innovation theory, are LIC innovators, LIC early adopters, and HIC innovators. We illustrate the model with three examples of current reverse innovations. We then propose four sets of specific actions that forward-looking policymakers, entrepreneurs, health system leaders, and researchers may take to accelerate the movement of promising solutions through the reverse innovation pipeline: (1) identify high-priority problems shared by HICs and LICs; (2) create slack for change, especially for LIC innovators, LIC early adopters, and HIC innovators; (3) create spannable social distances between LIC early adopters and HIC innovators; and (4) measure reverse innovation activity globally.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Netherlands 1 <1%
Unknown 178 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 20%
Student > Ph. D. Student 28 15%
Student > Bachelor 21 11%
Researcher 19 10%
Other 13 7%
Other 32 17%
Unknown 34 19%
Readers by discipline Count As %
Business, Management and Accounting 39 21%
Medicine and Dentistry 31 17%
Social Sciences 18 10%
Nursing and Health Professions 15 8%
Economics, Econometrics and Finance 10 5%
Other 29 16%
Unknown 41 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 March 2014.
All research outputs
#14,387,928
of 25,373,627 outputs
Outputs from Globalization and Health
#943
of 1,226 outputs
Outputs of similar age
#109,416
of 211,836 outputs
Outputs of similar age from Globalization and Health
#14
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,226 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one is in the 22nd percentile – i.e., 22% 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 211,836 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.