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Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners

BACKGROUND: Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to...

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Autores principales: Ford, Elizabeth, Edelman, Natalie, Somers, Laura, Shrewsbury, Duncan, Lopez Levy, Marcela, van Marwijk, Harm, Curcin, Vasa, Porat, Talya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215812/
https://www.ncbi.nlm.nih.gov/pubmed/34154580
http://dx.doi.org/10.1186/s12911-021-01557-z
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author Ford, Elizabeth
Edelman, Natalie
Somers, Laura
Shrewsbury, Duncan
Lopez Levy, Marcela
van Marwijk, Harm
Curcin, Vasa
Porat, Talya
author_facet Ford, Elizabeth
Edelman, Natalie
Somers, Laura
Shrewsbury, Duncan
Lopez Levy, Marcela
van Marwijk, Harm
Curcin, Vasa
Porat, Talya
author_sort Ford, Elizabeth
collection PubMed
description BACKGROUND: Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to record extra data. However, there is persistent evidence of low uptake of CDSSs in the clinic. We interviewed UK General Practitioners (GPs) to understand what features of CDSSs, and the contexts of their use, facilitate or present barriers to their use. METHODS: We interviewed 11 practicing GPs in London and South England using a semi-structured interview schedule and discussed a hypothetical CDSS that could detect early signs of dementia. We applied thematic analysis to the anonymised interview transcripts. RESULTS: We identified three overarching themes: trust in individual CDSSs; usability of individual CDSSs; and usability of CDSSs in the broader practice context, to which nine subthemes contributed. Trust was affected by CDSS provenance, perceived threat to autonomy and clear management guidance. Usability was influenced by sensitivity to the patient context, CDSS flexibility, ease of control, and non-intrusiveness. CDSSs were more likely to be used by GPs if they did not contribute to alert proliferation and subsequent fatigue, or if GPs were provided with training in their use. CONCLUSIONS: Building on these findings we make a number of recommendations for CDSS developers to consider when bringing a new CDSS into GP patient records systems. These include co-producing CDSS with GPs to improve fit within clinic workflow and wider practice systems, ensuring a high level of accuracy and a clear clinical pathway, and providing CDSS training for practice staff. These recommendations may reduce the proliferation of unhelpful alerts that can result in important decision-support being ignored. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01557-z.
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spelling pubmed-82158122021-06-23 Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners Ford, Elizabeth Edelman, Natalie Somers, Laura Shrewsbury, Duncan Lopez Levy, Marcela van Marwijk, Harm Curcin, Vasa Porat, Talya BMC Med Inform Decis Mak Research BACKGROUND: Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to record extra data. However, there is persistent evidence of low uptake of CDSSs in the clinic. We interviewed UK General Practitioners (GPs) to understand what features of CDSSs, and the contexts of their use, facilitate or present barriers to their use. METHODS: We interviewed 11 practicing GPs in London and South England using a semi-structured interview schedule and discussed a hypothetical CDSS that could detect early signs of dementia. We applied thematic analysis to the anonymised interview transcripts. RESULTS: We identified three overarching themes: trust in individual CDSSs; usability of individual CDSSs; and usability of CDSSs in the broader practice context, to which nine subthemes contributed. Trust was affected by CDSS provenance, perceived threat to autonomy and clear management guidance. Usability was influenced by sensitivity to the patient context, CDSS flexibility, ease of control, and non-intrusiveness. CDSSs were more likely to be used by GPs if they did not contribute to alert proliferation and subsequent fatigue, or if GPs were provided with training in their use. CONCLUSIONS: Building on these findings we make a number of recommendations for CDSS developers to consider when bringing a new CDSS into GP patient records systems. These include co-producing CDSS with GPs to improve fit within clinic workflow and wider practice systems, ensuring a high level of accuracy and a clear clinical pathway, and providing CDSS training for practice staff. These recommendations may reduce the proliferation of unhelpful alerts that can result in important decision-support being ignored. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01557-z. BioMed Central 2021-06-21 /pmc/articles/PMC8215812/ /pubmed/34154580 http://dx.doi.org/10.1186/s12911-021-01557-z 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
Ford, Elizabeth
Edelman, Natalie
Somers, Laura
Shrewsbury, Duncan
Lopez Levy, Marcela
van Marwijk, Harm
Curcin, Vasa
Porat, Talya
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title_full Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title_fullStr Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title_full_unstemmed Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title_short Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
title_sort barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with uk general practitioners
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215812/
https://www.ncbi.nlm.nih.gov/pubmed/34154580
http://dx.doi.org/10.1186/s12911-021-01557-z
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