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Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model

BACKGROUND: The adoption of new medicines is influenced by a complex set of social processes that have been widely examined in terms of individual prescribers’ information-seeking and decision-making behaviour. However, quantitative, population-wide analyses of how long it takes for new healthcare p...

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Autores principales: Dunn, Adam G, Braithwaite, Jeffrey, Gallego, Blanca, Day, Richard O, Runciman, William, Coiera, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441328/
https://www.ncbi.nlm.nih.gov/pubmed/22876867
http://dx.doi.org/10.1186/1472-6963-12-248
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author Dunn, Adam G
Braithwaite, Jeffrey
Gallego, Blanca
Day, Richard O
Runciman, William
Coiera, Enrico
author_facet Dunn, Adam G
Braithwaite, Jeffrey
Gallego, Blanca
Day, Richard O
Runciman, William
Coiera, Enrico
author_sort Dunn, Adam G
collection PubMed
description BACKGROUND: The adoption of new medicines is influenced by a complex set of social processes that have been widely examined in terms of individual prescribers’ information-seeking and decision-making behaviour. However, quantitative, population-wide analyses of how long it takes for new healthcare practices to become part of mainstream practice are rare. METHODS: We applied a Bass diffusion model to monthly prescription volumes of 103 often-prescribed drugs in Australia (monthly time series data totalling 803 million prescriptions between 1992 and 2010), to determine the distribution of adoption rates. Our aim was to test the utility of applying the Bass diffusion model to national-scale prescribing volumes. RESULTS: The Bass diffusion model was fitted to the adoption of a broad cross-section of drugs using national monthly prescription volumes from Australia (median R(2) = 0.97, interquartile range 0.95 to 0.99). The median time to adoption was 8.2 years (IQR 4.9 to 12.1). The model distinguished two classes of prescribing patterns – those where adoption appeared to be driven mostly by external forces (19 drugs) and those driven mostly by social contagion (84 drugs). Those driven more prominently by internal forces were found to have shorter adoption times (p = 0.02 in a non-parametric analysis of variance by ranks). CONCLUSION: The Bass diffusion model may be used to retrospectively represent the patterns of adoption exhibited in prescription volumes in Australia, and distinguishes between adoption driven primarily by external forces such as regulation, or internal forces such as social contagion. The eight-year delay between the introduction of a new medicine and the adoption of the prescribing practice suggests the presence of system inertia in Australian prescribing practices.
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spelling pubmed-34413282012-09-14 Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model Dunn, Adam G Braithwaite, Jeffrey Gallego, Blanca Day, Richard O Runciman, William Coiera, Enrico BMC Health Serv Res Research Article BACKGROUND: The adoption of new medicines is influenced by a complex set of social processes that have been widely examined in terms of individual prescribers’ information-seeking and decision-making behaviour. However, quantitative, population-wide analyses of how long it takes for new healthcare practices to become part of mainstream practice are rare. METHODS: We applied a Bass diffusion model to monthly prescription volumes of 103 often-prescribed drugs in Australia (monthly time series data totalling 803 million prescriptions between 1992 and 2010), to determine the distribution of adoption rates. Our aim was to test the utility of applying the Bass diffusion model to national-scale prescribing volumes. RESULTS: The Bass diffusion model was fitted to the adoption of a broad cross-section of drugs using national monthly prescription volumes from Australia (median R(2) = 0.97, interquartile range 0.95 to 0.99). The median time to adoption was 8.2 years (IQR 4.9 to 12.1). The model distinguished two classes of prescribing patterns – those where adoption appeared to be driven mostly by external forces (19 drugs) and those driven mostly by social contagion (84 drugs). Those driven more prominently by internal forces were found to have shorter adoption times (p = 0.02 in a non-parametric analysis of variance by ranks). CONCLUSION: The Bass diffusion model may be used to retrospectively represent the patterns of adoption exhibited in prescription volumes in Australia, and distinguishes between adoption driven primarily by external forces such as regulation, or internal forces such as social contagion. The eight-year delay between the introduction of a new medicine and the adoption of the prescribing practice suggests the presence of system inertia in Australian prescribing practices. BioMed Central 2012-08-10 /pmc/articles/PMC3441328/ /pubmed/22876867 http://dx.doi.org/10.1186/1472-6963-12-248 Text en Copyright ©2012 Dunn et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dunn, Adam G
Braithwaite, Jeffrey
Gallego, Blanca
Day, Richard O
Runciman, William
Coiera, Enrico
Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title_full Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title_fullStr Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title_full_unstemmed Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title_short Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model
title_sort nation-scale adoption of new medicines by doctors: an application of the bass diffusion model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441328/
https://www.ncbi.nlm.nih.gov/pubmed/22876867
http://dx.doi.org/10.1186/1472-6963-12-248
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