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Challenges to implementing electronic trial data collection in primary care: a qualitative study
BACKGROUND: Within-consultation recruitment to primary care trials is challenging. Ensuring procedures are efficient and self-explanatory is the key to optimising recruitment. Trial recruitment software that integrates with the electronic health record to support and partially automate procedures is...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259773/ https://www.ncbi.nlm.nih.gov/pubmed/34229624 http://dx.doi.org/10.1186/s12875-021-01498-6 |
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author | Cabral, Christie Curtis, Kathryn Curcin, Vasa Domínguez, Jesús Prasad, Vibhore Schilder, Anne Turner, Nicholas Wilkes, Scott Taylor, Jodi Gallagher, Sarah Little, Paul Delaney, Brendan Moore, Michael Hay, Alastair D. Horwood, Jeremy |
author_facet | Cabral, Christie Curtis, Kathryn Curcin, Vasa Domínguez, Jesús Prasad, Vibhore Schilder, Anne Turner, Nicholas Wilkes, Scott Taylor, Jodi Gallagher, Sarah Little, Paul Delaney, Brendan Moore, Michael Hay, Alastair D. Horwood, Jeremy |
author_sort | Cabral, Christie |
collection | PubMed |
description | BACKGROUND: Within-consultation recruitment to primary care trials is challenging. Ensuring procedures are efficient and self-explanatory is the key to optimising recruitment. Trial recruitment software that integrates with the electronic health record to support and partially automate procedures is becoming more common. If it works well, such software can support greater participation and more efficient trial designs. An innovative electronic trial recruitment and outcomes software was designed to support recruitment to the Runny Ear randomised controlled trial, comparing topical, oral and delayed antibiotic treatment for acute otitis media with discharge in children. A qualitative evaluation investigated the views and experiences of primary care staff using this trial software. METHODS: Staff were purposively sampled in relation to site, role and whether the practice successfully recruited patients. In-depth interviews were conducted using a flexible topic guide, audio recorded and transcribed. Data were analysed thematically. RESULTS: Sixteen staff were interviewed, including GPs, practice managers, information technology (IT) leads and research staff. GPs wanted trial software that automatically captures patient data. However, the experience of getting the software to work within the limited and complex IT infrastructure of primary care was frustrating and time consuming. Installation was reliant on practice level IT expertise, which varied between practices. Although most had external IT support, this rarely included supported for research IT. Arrangements for approving new software varied across practices and often, but not always, required authorisation from Clinical Commissioning Groups. CONCLUSIONS: Primary care IT systems are not solely under the control of individual practices or CCGs or the National Health Service. Rather they are part of a complex system that spans all three and is influenced by semi-autonomous stakeholders operating at different levels. This led to time consuming and sometimes insurmountable barriers to installation at the practice level. These need to be addressed if software supporting efficient research in primary care is to become a reality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01498-6. |
format | Online Article Text |
id | pubmed-8259773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82597732021-07-07 Challenges to implementing electronic trial data collection in primary care: a qualitative study Cabral, Christie Curtis, Kathryn Curcin, Vasa Domínguez, Jesús Prasad, Vibhore Schilder, Anne Turner, Nicholas Wilkes, Scott Taylor, Jodi Gallagher, Sarah Little, Paul Delaney, Brendan Moore, Michael Hay, Alastair D. Horwood, Jeremy BMC Fam Pract Research Article BACKGROUND: Within-consultation recruitment to primary care trials is challenging. Ensuring procedures are efficient and self-explanatory is the key to optimising recruitment. Trial recruitment software that integrates with the electronic health record to support and partially automate procedures is becoming more common. If it works well, such software can support greater participation and more efficient trial designs. An innovative electronic trial recruitment and outcomes software was designed to support recruitment to the Runny Ear randomised controlled trial, comparing topical, oral and delayed antibiotic treatment for acute otitis media with discharge in children. A qualitative evaluation investigated the views and experiences of primary care staff using this trial software. METHODS: Staff were purposively sampled in relation to site, role and whether the practice successfully recruited patients. In-depth interviews were conducted using a flexible topic guide, audio recorded and transcribed. Data were analysed thematically. RESULTS: Sixteen staff were interviewed, including GPs, practice managers, information technology (IT) leads and research staff. GPs wanted trial software that automatically captures patient data. However, the experience of getting the software to work within the limited and complex IT infrastructure of primary care was frustrating and time consuming. Installation was reliant on practice level IT expertise, which varied between practices. Although most had external IT support, this rarely included supported for research IT. Arrangements for approving new software varied across practices and often, but not always, required authorisation from Clinical Commissioning Groups. CONCLUSIONS: Primary care IT systems are not solely under the control of individual practices or CCGs or the National Health Service. Rather they are part of a complex system that spans all three and is influenced by semi-autonomous stakeholders operating at different levels. This led to time consuming and sometimes insurmountable barriers to installation at the practice level. These need to be addressed if software supporting efficient research in primary care is to become a reality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01498-6. BioMed Central 2021-07-06 /pmc/articles/PMC8259773/ /pubmed/34229624 http://dx.doi.org/10.1186/s12875-021-01498-6 Text en © The Author(s) 2021 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 | Research Article Cabral, Christie Curtis, Kathryn Curcin, Vasa Domínguez, Jesús Prasad, Vibhore Schilder, Anne Turner, Nicholas Wilkes, Scott Taylor, Jodi Gallagher, Sarah Little, Paul Delaney, Brendan Moore, Michael Hay, Alastair D. Horwood, Jeremy Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title | Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title_full | Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title_fullStr | Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title_full_unstemmed | Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title_short | Challenges to implementing electronic trial data collection in primary care: a qualitative study |
title_sort | challenges to implementing electronic trial data collection in primary care: a qualitative study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259773/ https://www.ncbi.nlm.nih.gov/pubmed/34229624 http://dx.doi.org/10.1186/s12875-021-01498-6 |
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