A framework for designing medical devices resilient to low-resource settings.

Contextual design Delphi survey Low-resource settings MCDA Medical device design Resilient medical devices

Journal

Globalization and health
ISSN: 1744-8603
Titre abrégé: Global Health
Pays: England
ID NLM: 101245734

Informations de publication

Date de publication:
22 06 2021
Historique:
received: 29 01 2021
accepted: 09 06 2021
entrez: 23 6 2021
pubmed: 24 6 2021
medline: 29 1 2022
Statut: epublish

Résumé

To date (April 2021), medical device (MD) design approaches have failed to consider the contexts where MDs can be operationalised. Although most of the global population lives and is treated in Low- and Middle-Income Countries (LMCIs), over 80% of the MD market share is in high-resource settings, which set de facto standards that cannot be taken for granted in lower resource settings. Using a MD designed for high-resource settings in LMICs may hinder its safe and efficient operationalisation. In the literature, many criteria for frameworks to support resilient MD design were presented. However, since the available criteria (as of 2021) are far from being consensual and comprehensive, the aim of this study is to raise awareness about such challenges and to scope experts' consensus regarding the essentiality of MD design criteria. This paper presents a novel application of Delphi study and Multiple Criteria Decision Analysis (MCDA) to develop a framework comprising 26 essential criteria, which were evaluated and chosen by international experts coming from different parts of the world. This framework was validated by analysing some MDs presented in the WHO Compendium of innovative health technologies for low-resource settings. This novel holistic framework takes into account some domains that are usually underestimated by MDs designers. For this reason, it can be used by experts designing MDs resilient to low-resource settings and it can also assist policymakers and non-governmental organisations in shaping the future of global healthcare.

Sections du résumé

BACKGROUND
To date (April 2021), medical device (MD) design approaches have failed to consider the contexts where MDs can be operationalised. Although most of the global population lives and is treated in Low- and Middle-Income Countries (LMCIs), over 80% of the MD market share is in high-resource settings, which set de facto standards that cannot be taken for granted in lower resource settings. Using a MD designed for high-resource settings in LMICs may hinder its safe and efficient operationalisation. In the literature, many criteria for frameworks to support resilient MD design were presented. However, since the available criteria (as of 2021) are far from being consensual and comprehensive, the aim of this study is to raise awareness about such challenges and to scope experts' consensus regarding the essentiality of MD design criteria.
RESULTS
This paper presents a novel application of Delphi study and Multiple Criteria Decision Analysis (MCDA) to develop a framework comprising 26 essential criteria, which were evaluated and chosen by international experts coming from different parts of the world. This framework was validated by analysing some MDs presented in the WHO Compendium of innovative health technologies for low-resource settings.
CONCLUSIONS
This novel holistic framework takes into account some domains that are usually underestimated by MDs designers. For this reason, it can be used by experts designing MDs resilient to low-resource settings and it can also assist policymakers and non-governmental organisations in shaping the future of global healthcare.

Identifiants

pubmed: 34158072
doi: 10.1186/s12992-021-00718-z
pii: 10.1186/s12992-021-00718-z
pmc: PMC8220789
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

64

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Auteurs

Davide Piaggio (D)

School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. d.piaggio@warwick.ac.uk.

Rossana Castaldo (R)

School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

Marco Cinelli (M)

Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965, Poznań, Poland.

Sara Cinelli (S)

Department of Information Engineering, University of Padova, 35131, Padova, Italy.

Alessia Maccaro (A)

School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

Leandro Pecchia (L)

School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

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Classifications MeSH