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 thei...
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doaj-e236e01f8ed94de9a39a193a3d0f2d6b2020-11-25T03:12:44ZengBMCResearch Involvement and Engagement2056-75292019-09-01511210.1186/s40900-019-0157-zComments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvementMarney Williams0Mike Etkind1Fran Husson2Della Ogunleye3John Norton4Imperial College Healthcare NHS TrustImperial College Healthcare NHS TrustImperial College Healthcare NHS TrustImperial College Healthcare NHS TrustImperial College Healthcare NHS TrustPlain 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.http://link.springer.com/article/10.1186/s40900-019-0157-zService user involvementData analysisResearch |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marney Williams Mike Etkind Fran Husson Della Ogunleye John Norton |
spellingShingle |
Marney Williams Mike Etkind Fran Husson Della Ogunleye John Norton Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement Research Involvement and Engagement Service user involvement Data analysis Research |
author_facet |
Marney Williams Mike Etkind Fran Husson Della Ogunleye John Norton |
author_sort |
Marney Williams |
title |
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_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_sort |
comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement |
publisher |
BMC |
series |
Research Involvement and Engagement |
issn |
2056-7529 |
publishDate |
2019-09-01 |
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. |
topic |
Service user involvement Data analysis Research |
url |
http://link.springer.com/article/10.1186/s40900-019-0157-z |
work_keys_str_mv |
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