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Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries
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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264440/ https://www.ncbi.nlm.nih.gov/pubmed/28122623 http://dx.doi.org/10.1186/s12992-016-0225-1 |
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author | Bhattacharyya, Onil Wu, Diane Mossman, Kathryn Hayden, Leigh Gill, Pavan Cheng, Yu-Ling Daar, Abdallah Soman, Dilip Synowiec, Christina Taylor, Andrea Wong, Joseph von Zedtwitz, Max Zlotkin, Stanley Mitchell, William McGahan, Anita |
author_facet | Bhattacharyya, Onil Wu, Diane Mossman, Kathryn Hayden, Leigh Gill, Pavan Cheng, Yu-Ling Daar, Abdallah Soman, Dilip Synowiec, Christina Taylor, Andrea Wong, Joseph von Zedtwitz, Max Zlotkin, Stanley Mitchell, William McGahan, Anita |
author_sort | Bhattacharyya, Onil |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5264440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52644402017-01-30 Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries Bhattacharyya, Onil Wu, Diane Mossman, Kathryn Hayden, Leigh Gill, Pavan Cheng, Yu-Ling Daar, Abdallah Soman, Dilip Synowiec, Christina Taylor, Andrea Wong, Joseph von Zedtwitz, Max Zlotkin, Stanley Mitchell, William McGahan, Anita Global Health Methodology 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. BioMed Central 2017-01-25 /pmc/articles/PMC5264440/ /pubmed/28122623 http://dx.doi.org/10.1186/s12992-016-0225-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Bhattacharyya, Onil Wu, Diane Mossman, Kathryn Hayden, Leigh Gill, Pavan Cheng, Yu-Ling Daar, Abdallah Soman, Dilip Synowiec, Christina Taylor, Andrea Wong, Joseph von Zedtwitz, Max Zlotkin, Stanley Mitchell, William McGahan, Anita Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title | Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title_full | Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title_fullStr | Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title_full_unstemmed | Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title_short | Criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
title_sort | criteria to assess potential reverse innovations: opportunities for shared learning between high- and low-income countries |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5264440/ https://www.ncbi.nlm.nih.gov/pubmed/28122623 http://dx.doi.org/10.1186/s12992-016-0225-1 |
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