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Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience

BACKGROUND: Although the efficacy of computerized clinical decision support (CCDS) for acute kidney injury (AKI) remains unclear, the wider literature includes examples of limited acceptability and equivocal benefit. Our single-centre study aimed to identify factors promoting or inhibiting use of in...

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Autores principales: Kanagasundaram, Nigel S., Bevan, Mark T., Sims, Andrew J., Heed, Andrew, Price, David A., Sheerin, Neil S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720208/
https://www.ncbi.nlm.nih.gov/pubmed/26798462
http://dx.doi.org/10.1093/ckj/sfv130
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author Kanagasundaram, Nigel S.
Bevan, Mark T.
Sims, Andrew J.
Heed, Andrew
Price, David A.
Sheerin, Neil S.
author_facet Kanagasundaram, Nigel S.
Bevan, Mark T.
Sims, Andrew J.
Heed, Andrew
Price, David A.
Sheerin, Neil S.
author_sort Kanagasundaram, Nigel S.
collection PubMed
description BACKGROUND: Although the efficacy of computerized clinical decision support (CCDS) for acute kidney injury (AKI) remains unclear, the wider literature includes examples of limited acceptability and equivocal benefit. Our single-centre study aimed to identify factors promoting or inhibiting use of in-patient AKI CCDS. METHODS: Targeting medical users, CCDS triggered with a serum creatinine rise of ≥25 μmol/L/day and linked to guidance and test ordering. User experience was evaluated through retrospective interviews, conducted and analysed according to Normalization Process Theory. Initial pilot ward experience allowed tool refinement. Assessments continued following CCDS activation across all adult, non-critical care wards. RESULTS: Thematic saturation was achieved with 24 interviews. The alert was accepted as a potentially useful prompt to early clinical re-assessment by many trainees. Senior staff were more sceptical, tending to view it as a hindrance. ‘Pop-ups’ and mandated engagement before alert dismissal were universally unpopular due to workflow disruption. Users were driven to close out of the alert as soon as possible to review historical creatinines and to continue with the intended workflow. CONCLUSIONS: Our study revealed themes similar to those previously described in non-AKI settings. Systems intruding on workflow, particularly involving complex interactions, may be unsustainable even if there has been a positive impact on care. The optimal balance between intrusion and clinical benefit of AKI CCDS requires further evaluation.
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spelling pubmed-47202082016-01-21 Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience Kanagasundaram, Nigel S. Bevan, Mark T. Sims, Andrew J. Heed, Andrew Price, David A. Sheerin, Neil S. Clin Kidney J Acute Kidney Injury BACKGROUND: Although the efficacy of computerized clinical decision support (CCDS) for acute kidney injury (AKI) remains unclear, the wider literature includes examples of limited acceptability and equivocal benefit. Our single-centre study aimed to identify factors promoting or inhibiting use of in-patient AKI CCDS. METHODS: Targeting medical users, CCDS triggered with a serum creatinine rise of ≥25 μmol/L/day and linked to guidance and test ordering. User experience was evaluated through retrospective interviews, conducted and analysed according to Normalization Process Theory. Initial pilot ward experience allowed tool refinement. Assessments continued following CCDS activation across all adult, non-critical care wards. RESULTS: Thematic saturation was achieved with 24 interviews. The alert was accepted as a potentially useful prompt to early clinical re-assessment by many trainees. Senior staff were more sceptical, tending to view it as a hindrance. ‘Pop-ups’ and mandated engagement before alert dismissal were universally unpopular due to workflow disruption. Users were driven to close out of the alert as soon as possible to review historical creatinines and to continue with the intended workflow. CONCLUSIONS: Our study revealed themes similar to those previously described in non-AKI settings. Systems intruding on workflow, particularly involving complex interactions, may be unsustainable even if there has been a positive impact on care. The optimal balance between intrusion and clinical benefit of AKI CCDS requires further evaluation. Oxford University Press 2016-02 2015-12-18 /pmc/articles/PMC4720208/ /pubmed/26798462 http://dx.doi.org/10.1093/ckj/sfv130 Text en © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Acute Kidney Injury
Kanagasundaram, Nigel S.
Bevan, Mark T.
Sims, Andrew J.
Heed, Andrew
Price, David A.
Sheerin, Neil S.
Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title_full Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title_fullStr Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title_full_unstemmed Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title_short Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
title_sort computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience
topic Acute Kidney Injury
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720208/
https://www.ncbi.nlm.nih.gov/pubmed/26798462
http://dx.doi.org/10.1093/ckj/sfv130
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