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Google search data as a novel adjunct to patient and public involvement in rheumatology research
Patient and public involvement is essential in the design and implementation of research studies to ensure research remains relevant and in line with public priorities. Public views on a given area of research may be sought via platforms such as focus groups or surveys. Here, we present the use of a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571296/ https://www.ncbi.nlm.nih.gov/pubmed/33074346 http://dx.doi.org/10.1007/s00296-020-04723-0 |
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author | Dey, Mrinalini Zhao, Sizheng Steven |
author_facet | Dey, Mrinalini Zhao, Sizheng Steven |
author_sort | Dey, Mrinalini |
collection | PubMed |
description | Patient and public involvement is essential in the design and implementation of research studies to ensure research remains relevant and in line with public priorities. Public views on a given area of research may be sought via platforms such as focus groups or surveys. Here, we present the use of an openly available Google search data query tool, which may be used alongside traditional forms of patient and public involvement in research to highlight public perceptions and priorities. We used an online search query tool (“AnswerThePublic.com”) to explore public Google searches relating to “arthritis,” and an exemplar rheumatic disease, “rheumatoid arthritis.” The most common searches relating to these diseases included quality of life, treatment, prognosis, as well as impacts on life, including work. However, they also reveal concerns that may be more difficult to elicit in face-to-face focus groups, such as questions on alcohol consumption in arthritis, and impacts on mental health. Using public search engine data in research, alongside the important traditional methods of patient and public involvement, is a cost-effective and time-efficient method of gauging public views and concerns on a given topic. It may facilitate broad scoping searches of public priorities and help to guide future research questions. |
format | Online Article Text |
id | pubmed-7571296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75712962020-10-20 Google search data as a novel adjunct to patient and public involvement in rheumatology research Dey, Mrinalini Zhao, Sizheng Steven Rheumatol Int Observational Research Patient and public involvement is essential in the design and implementation of research studies to ensure research remains relevant and in line with public priorities. Public views on a given area of research may be sought via platforms such as focus groups or surveys. Here, we present the use of an openly available Google search data query tool, which may be used alongside traditional forms of patient and public involvement in research to highlight public perceptions and priorities. We used an online search query tool (“AnswerThePublic.com”) to explore public Google searches relating to “arthritis,” and an exemplar rheumatic disease, “rheumatoid arthritis.” The most common searches relating to these diseases included quality of life, treatment, prognosis, as well as impacts on life, including work. However, they also reveal concerns that may be more difficult to elicit in face-to-face focus groups, such as questions on alcohol consumption in arthritis, and impacts on mental health. Using public search engine data in research, alongside the important traditional methods of patient and public involvement, is a cost-effective and time-efficient method of gauging public views and concerns on a given topic. It may facilitate broad scoping searches of public priorities and help to guide future research questions. Springer Berlin Heidelberg 2020-10-19 2021 /pmc/articles/PMC7571296/ /pubmed/33074346 http://dx.doi.org/10.1007/s00296-020-04723-0 Text en © The Author(s) 2020 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/. |
spellingShingle | Observational Research Dey, Mrinalini Zhao, Sizheng Steven Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title | Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title_full | Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title_fullStr | Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title_full_unstemmed | Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title_short | Google search data as a novel adjunct to patient and public involvement in rheumatology research |
title_sort | google search data as a novel adjunct to patient and public involvement in rheumatology research |
topic | Observational Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571296/ https://www.ncbi.nlm.nih.gov/pubmed/33074346 http://dx.doi.org/10.1007/s00296-020-04723-0 |
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