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OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016
OBJECTIVES: We aimed to compile and normalise England’s national prescribing data for 1998–2016 to facilitate research on long-term time trends and create an open-data exploration tool for wider use. DESIGN: We compiled data from each individual year’s national statistical publications and normalise...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855401/ https://www.ncbi.nlm.nih.gov/pubmed/29476029 http://dx.doi.org/10.1136/bmjopen-2017-019921 |
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author | Curtis, Helen J Goldacre, Ben |
author_facet | Curtis, Helen J Goldacre, Ben |
author_sort | Curtis, Helen J |
collection | PubMed |
description | OBJECTIVES: We aimed to compile and normalise England’s national prescribing data for 1998–2016 to facilitate research on long-term time trends and create an open-data exploration tool for wider use. DESIGN: We compiled data from each individual year’s national statistical publications and normalised them by mapping each drug to its current classification within the national formulary where possible. We created a freely accessible, interactive web tool to allow anyone to interact with the processed data. SETTING AND PARTICIPANTS: We downloaded all available annual prescription cost analysis datasets, which include cost and quantity for all prescription items dispensed in the community in England. Medical devices and appliances were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: We measured the extent of normalisation of data and aimed to produce a functioning accessible analysis tool. RESULTS: All data were imported successfully. 87.5% of drugs were matched exactly on name to the current formulary and a further 6.5% to similar drug names. All drugs in core clinical chapters were reconciled to their current location in the data schema, with only 1.26% of drugs not assigned a current chemical code. We created an openly accessible interactive tool to facilitate wider use of these data. CONCLUSIONS: Publicly available data can be made accessible through interactive online tools to help researchers and policy-makers explore time trends in prescribing. |
format | Online Article Text |
id | pubmed-5855401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58554012018-03-19 OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 Curtis, Helen J Goldacre, Ben BMJ Open Health Informatics OBJECTIVES: We aimed to compile and normalise England’s national prescribing data for 1998–2016 to facilitate research on long-term time trends and create an open-data exploration tool for wider use. DESIGN: We compiled data from each individual year’s national statistical publications and normalised them by mapping each drug to its current classification within the national formulary where possible. We created a freely accessible, interactive web tool to allow anyone to interact with the processed data. SETTING AND PARTICIPANTS: We downloaded all available annual prescription cost analysis datasets, which include cost and quantity for all prescription items dispensed in the community in England. Medical devices and appliances were excluded. PRIMARY AND SECONDARY OUTCOME MEASURES: We measured the extent of normalisation of data and aimed to produce a functioning accessible analysis tool. RESULTS: All data were imported successfully. 87.5% of drugs were matched exactly on name to the current formulary and a further 6.5% to similar drug names. All drugs in core clinical chapters were reconciled to their current location in the data schema, with only 1.26% of drugs not assigned a current chemical code. We created an openly accessible interactive tool to facilitate wider use of these data. CONCLUSIONS: Publicly available data can be made accessible through interactive online tools to help researchers and policy-makers explore time trends in prescribing. BMJ Publishing Group 2018-02-23 /pmc/articles/PMC5855401/ /pubmed/29476029 http://dx.doi.org/10.1136/bmjopen-2017-019921 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Informatics Curtis, Helen J Goldacre, Ben OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title | OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title_full | OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title_fullStr | OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title_full_unstemmed | OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title_short | OpenPrescribing: normalised data and software tool to research trends in English NHS primary care prescribing 1998–2016 |
title_sort | openprescribing: normalised data and software tool to research trends in english nhs primary care prescribing 1998–2016 |
topic | Health Informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855401/ https://www.ncbi.nlm.nih.gov/pubmed/29476029 http://dx.doi.org/10.1136/bmjopen-2017-019921 |
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