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The use of text-mining software to facilitate screening of literature on centredness in health care
Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collatin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148558/ https://www.ncbi.nlm.nih.gov/pubmed/37120578 http://dx.doi.org/10.1186/s13643-023-02242-0 |
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author | Forsgren, Emma Wallström, Sara Feldthusen, Caroline Zechner, Niklas Sawatzky, Richard Öhlén, Joakim |
author_facet | Forsgren, Emma Wallström, Sara Feldthusen, Caroline Zechner, Niklas Sawatzky, Richard Öhlén, Joakim |
author_sort | Forsgren, Emma |
collection | PubMed |
description | Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collating citations for a review is a way of tackling the vast amount of research citations available today. There are several programmes that use text-mining functions to facilitate screening and data extraction for systematic reviews. However, the suitability of these programmes for reviews on broad topics of research, as well as the general uptake by researchers, is unclear. This commentary has a dual aim, which consists in outlining the challenges of screening literature in fields characterised by vague and overlapping conceptualisations, and to exemplify this by exploratory use of text-mining in the context of a scoping review on centredness in health care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02242-0. |
format | Online Article Text |
id | pubmed-10148558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101485582023-04-30 The use of text-mining software to facilitate screening of literature on centredness in health care Forsgren, Emma Wallström, Sara Feldthusen, Caroline Zechner, Niklas Sawatzky, Richard Öhlén, Joakim Syst Rev Commentary Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collating citations for a review is a way of tackling the vast amount of research citations available today. There are several programmes that use text-mining functions to facilitate screening and data extraction for systematic reviews. However, the suitability of these programmes for reviews on broad topics of research, as well as the general uptake by researchers, is unclear. This commentary has a dual aim, which consists in outlining the challenges of screening literature in fields characterised by vague and overlapping conceptualisations, and to exemplify this by exploratory use of text-mining in the context of a scoping review on centredness in health care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02242-0. BioMed Central 2023-04-29 /pmc/articles/PMC10148558/ /pubmed/37120578 http://dx.doi.org/10.1186/s13643-023-02242-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Forsgren, Emma Wallström, Sara Feldthusen, Caroline Zechner, Niklas Sawatzky, Richard Öhlén, Joakim The use of text-mining software to facilitate screening of literature on centredness in health care |
title | The use of text-mining software to facilitate screening of literature on centredness in health care |
title_full | The use of text-mining software to facilitate screening of literature on centredness in health care |
title_fullStr | The use of text-mining software to facilitate screening of literature on centredness in health care |
title_full_unstemmed | The use of text-mining software to facilitate screening of literature on centredness in health care |
title_short | The use of text-mining software to facilitate screening of literature on centredness in health care |
title_sort | use of text-mining software to facilitate screening of literature on centredness in health care |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148558/ https://www.ncbi.nlm.nih.gov/pubmed/37120578 http://dx.doi.org/10.1186/s13643-023-02242-0 |
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