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Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement
PLAIN ENGLISH SUMMARY: Some previous researchers (Locock et al) have written about what may be the best way for public contributors to be involved in data analysis in research projects. Their experience has been that giving public contributors large amounts of text to read is not the best use of the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739969/ https://www.ncbi.nlm.nih.gov/pubmed/31528355 http://dx.doi.org/10.1186/s40900-019-0157-z |
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author | Williams, Marney Etkind, Mike Husson, Fran Ogunleye, Della Norton, John |
author_facet | Williams, Marney Etkind, Mike Husson, Fran Ogunleye, Della Norton, John |
author_sort | Williams, Marney |
collection | PubMed |
description | PLAIN ENGLISH SUMMARY: Some previous researchers (Locock et al) have written about what may be the best way for public contributors to be involved in data analysis in research projects. Their experience has been that giving public contributors large amounts of text to read is not the best use of their time and experience. They have recommended that a better approach would be for a researcher to meet with a group of users at the start of analysis, to discuss what to look out for. However, as another patient group that has been involved in analysis, we think differently. The approach we used was to be more fully involved in the project over a longer time period. Analysis tasks were broken down into stages to make it easier for those taking part. We found that this allowed us to take part fully without placing too much burden on us. We found that our approach was workable and successful and see no reason why it could not be applied in other circumstances. ABSTRACT: In this journal, Locock et al. have suggested that service users should not be overburdened with large amounts of data, and that eliciting users’ reflections on their experience at the start of analysis and using this as a guide to direct researcher attention during the remainder of the process may work better. As public contributors that have been involved in analysis we suggest an alternative approach in this brief letter, based on our own experiences. |
format | Online Article Text |
id | pubmed-6739969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67399692019-09-16 Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement Williams, Marney Etkind, Mike Husson, Fran Ogunleye, Della Norton, John Res Involv Engagem Letter PLAIN ENGLISH SUMMARY: Some previous researchers (Locock et al) have written about what may be the best way for public contributors to be involved in data analysis in research projects. Their experience has been that giving public contributors large amounts of text to read is not the best use of their time and experience. They have recommended that a better approach would be for a researcher to meet with a group of users at the start of analysis, to discuss what to look out for. However, as another patient group that has been involved in analysis, we think differently. The approach we used was to be more fully involved in the project over a longer time period. Analysis tasks were broken down into stages to make it easier for those taking part. We found that this allowed us to take part fully without placing too much burden on us. We found that our approach was workable and successful and see no reason why it could not be applied in other circumstances. ABSTRACT: In this journal, Locock et al. have suggested that service users should not be overburdened with large amounts of data, and that eliciting users’ reflections on their experience at the start of analysis and using this as a guide to direct researcher attention during the remainder of the process may work better. As public contributors that have been involved in analysis we suggest an alternative approach in this brief letter, based on our own experiences. BioMed Central 2019-09-11 /pmc/articles/PMC6739969/ /pubmed/31528355 http://dx.doi.org/10.1186/s40900-019-0157-z Text en © The Author(s). 2019 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 | Letter Williams, Marney Etkind, Mike Husson, Fran Ogunleye, Della Norton, John Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title | Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title_full | Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title_fullStr | Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title_full_unstemmed | Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title_short | Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
title_sort | comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739969/ https://www.ncbi.nlm.nih.gov/pubmed/31528355 http://dx.doi.org/10.1186/s40900-019-0157-z |
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