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Published in: Globalization and Health 1/2017

Open Access 01-12-2017 | Methodology

Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries

Authors: Onil Bhattacharyya, Diane Wu, Kathryn Mossman, Leigh Hayden, Pavan Gill, Yu-Ling Cheng, Abdallah Daar, Dilip Soman, Christina Synowiec, Andrea Taylor, Joseph Wong, Max von Zedtwitz, Stanley Zlotkin, William Mitchell, Anita McGahan

Published in: Globalization and Health | Issue 1/2017

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Abstract

Background

Low- and middle-income countries (LMICs) are developing novel approaches to healthcare that may be relevant to high-income countries (HICs). These include products, services, organizational processes, or policies that improve access, cost, or efficiency of healthcare. However, given the challenge of replication, it is difficult to identify innovations that could be successfully adapted to high-income settings. We present a set of criteria for evaluating the potential impact of LMIC innovations in HIC settings.

Methods

An initial framework was drafted based on a literature review, and revised iteratively by applying it to LMIC examples from the Center for Health Market Innovations (CHMI) program database. The resulting criteria were then reviewed using a modified Delphi process by the Reverse Innovation Working Group, consisting of 31 experts in medicine, engineering, management and political science, as well as representatives from industry and government, all with an expressed interest in reverse innovation.

Results

The resulting 8 criteria are divided into two steps with a simple scoring system. First, innovations are assessed according to their success within the LMIC context according to metrics of improving accessibility, cost-effectiveness, scalability, and overall effectiveness. Next, they are scored for their potential for spread to HICs, according to their ability to address an HIC healthcare challenge, compatibility with infrastructure and regulatory requirements, degree of novelty, and degree of current collaboration with HICs. We use examples to illustrate where programs which appear initially promising may be unlikely to succeed in a HIC setting due to feasibility concerns.

Conclusions

This study presents a framework for identifying reverse innovations that may be useful to policymakers and funding agencies interested in identifying novel approaches to addressing cost and access to care in HICs. We solicited expert feedback and consensus on an empirically-derived set of criteria to create a practical tool for funders that can be used directly and tested prospectively using current databases of LMIC programs.
Footnotes
1
We use the terms HIC and LMIC as described by the World Bank (https://​datahelpdesk.​worldbank.​org/​knowledgebase/​articles/​906519), which provides country categories based on gross national income (GNI) per capita. We make a distinction between HICs (those with a GNI per capita of $12,476 or more), and LMICs (those with a GNI per capita below $12,476).
 
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Metadata
Title
Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries
Authors
Onil Bhattacharyya
Diane Wu
Kathryn Mossman
Leigh Hayden
Pavan Gill
Yu-Ling Cheng
Abdallah Daar
Dilip Soman
Christina Synowiec
Andrea Taylor
Joseph Wong
Max von Zedtwitz
Stanley Zlotkin
William Mitchell
Anita McGahan
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Globalization and Health / Issue 1/2017
Electronic ISSN: 1744-8603
DOI
https://doi.org/10.1186/s12992-016-0225-1

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