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A qualitative exploration of early assessment of innovative medical technologies

BACKGROUND: Hospitals increasingly make decisions about early development of and investment in innovative medical technologies (IMTs), but at present often without an early assessment of their potential to ensure selection of the most promising candidates for further development. This paper explores...

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Autores principales: Fasterholdt, Iben, Lee, Anne, Kidholm, Kristian, Yderstræde, Knud Bonnet, Pedersen, Kjeld Møller
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220450/
https://www.ncbi.nlm.nih.gov/pubmed/30400921
http://dx.doi.org/10.1186/s12913-018-3647-z
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author Fasterholdt, Iben
Lee, Anne
Kidholm, Kristian
Yderstræde, Knud Bonnet
Pedersen, Kjeld Møller
author_facet Fasterholdt, Iben
Lee, Anne
Kidholm, Kristian
Yderstræde, Knud Bonnet
Pedersen, Kjeld Møller
author_sort Fasterholdt, Iben
collection PubMed
description BACKGROUND: Hospitals increasingly make decisions about early development of and investment in innovative medical technologies (IMTs), but at present often without an early assessment of their potential to ensure selection of the most promising candidates for further development. This paper explores how early assessment is carried out in different health organisations and then discusses relevant learning points for hospitals. METHODS: A qualitative study design with a structured interview guide covering four themes was used. Content analyses of interview notes were performed covering four predetermined themes: context, basis for decision-making, process and structure, and perceptions. A fifth theme, handling cognitive bias, was identified during data analysis. RESULTS: A total of 11 organisations participated; eight from the private health industry and three public hospitals. The interviews identified four areas in which early assessment is performed in similar manner across the studied organisations and four areas where differences exist between public hospitals and private organisations. Public hospitals indicate a lower degree of formalised early assessment and less satisfaction with how early assessment is performed, compared to private organisations. Based on the above findings, two learning points may carry promise for hospitals. First, having dedicated prioritising committees for IMTs making stop/go decisions. This committee is separate from the IMT development processes and involved staff. Secondly, the committee should base decisions on a transparent early assessment decision-support tool, which include a broad set of domains, is iterative, describes uncertainty, and minimise cognitive biases. CONCLUSIONS: Similarities and differences in the way early assessment is done in different health organisations were identified. These findings suggest promising learning points for the development of an early assessment model for hospitals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3647-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-62204502018-11-16 A qualitative exploration of early assessment of innovative medical technologies Fasterholdt, Iben Lee, Anne Kidholm, Kristian Yderstræde, Knud Bonnet Pedersen, Kjeld Møller BMC Health Serv Res Research Article BACKGROUND: Hospitals increasingly make decisions about early development of and investment in innovative medical technologies (IMTs), but at present often without an early assessment of their potential to ensure selection of the most promising candidates for further development. This paper explores how early assessment is carried out in different health organisations and then discusses relevant learning points for hospitals. METHODS: A qualitative study design with a structured interview guide covering four themes was used. Content analyses of interview notes were performed covering four predetermined themes: context, basis for decision-making, process and structure, and perceptions. A fifth theme, handling cognitive bias, was identified during data analysis. RESULTS: A total of 11 organisations participated; eight from the private health industry and three public hospitals. The interviews identified four areas in which early assessment is performed in similar manner across the studied organisations and four areas where differences exist between public hospitals and private organisations. Public hospitals indicate a lower degree of formalised early assessment and less satisfaction with how early assessment is performed, compared to private organisations. Based on the above findings, two learning points may carry promise for hospitals. First, having dedicated prioritising committees for IMTs making stop/go decisions. This committee is separate from the IMT development processes and involved staff. Secondly, the committee should base decisions on a transparent early assessment decision-support tool, which include a broad set of domains, is iterative, describes uncertainty, and minimise cognitive biases. CONCLUSIONS: Similarities and differences in the way early assessment is done in different health organisations were identified. These findings suggest promising learning points for the development of an early assessment model for hospitals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3647-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-06 /pmc/articles/PMC6220450/ /pubmed/30400921 http://dx.doi.org/10.1186/s12913-018-3647-z Text en © The Author(s). 2018 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 Research Article
Fasterholdt, Iben
Lee, Anne
Kidholm, Kristian
Yderstræde, Knud Bonnet
Pedersen, Kjeld Møller
A qualitative exploration of early assessment of innovative medical technologies
title A qualitative exploration of early assessment of innovative medical technologies
title_full A qualitative exploration of early assessment of innovative medical technologies
title_fullStr A qualitative exploration of early assessment of innovative medical technologies
title_full_unstemmed A qualitative exploration of early assessment of innovative medical technologies
title_short A qualitative exploration of early assessment of innovative medical technologies
title_sort qualitative exploration of early assessment of innovative medical technologies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220450/
https://www.ncbi.nlm.nih.gov/pubmed/30400921
http://dx.doi.org/10.1186/s12913-018-3647-z
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