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Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England
OBJECTIVE: Around one in five emergency hospital admissions are affected by acute kidney injury (AKI). To address poor quality of care in relation to AKI, electronic alerts (e-alerts) are mandated across primary and secondary care in England and Wales. Evidence of the benefit of AKI e-alerts remains...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924771/ https://www.ncbi.nlm.nih.gov/pubmed/31831546 http://dx.doi.org/10.1136/bmjopen-2019-032925 |
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author | Scott, Jason Finch, Tracy Bevan, Mark Maniatopoulos, Gregory Gibbins, Chris Yates, Bryan Kilimangalam, Narayanan Sheerin, Neil Kanagasundaram, Nigel Suren |
author_facet | Scott, Jason Finch, Tracy Bevan, Mark Maniatopoulos, Gregory Gibbins, Chris Yates, Bryan Kilimangalam, Narayanan Sheerin, Neil Kanagasundaram, Nigel Suren |
author_sort | Scott, Jason |
collection | PubMed |
description | OBJECTIVE: Around one in five emergency hospital admissions are affected by acute kidney injury (AKI). To address poor quality of care in relation to AKI, electronic alerts (e-alerts) are mandated across primary and secondary care in England and Wales. Evidence of the benefit of AKI e-alerts remains conflicting, with at least some uncertainty explained by poor or unclear implementation. The objective of this study was to identify factors relating to implementation, using Normalisation Process Theory (NPT), which promote or inhibit use of AKI e-alerts in secondary care. DESIGN: Mixed methods combining qualitative (observations, semi-structured interviews) and quantitative (survey) methods. SETTING AND PARTICIPANTS: Three secondary care hospitals in North East England, representing two distinct AKI e-alerting systems. Observations (>44 hours) were conducted in Emergency Assessment Units (EAUs). Semi-structured interviews were conducted with clinicians (n=29) from EAUs, vascular or general surgery or care of the elderly. Qualitative data were supplemented by Normalization MeAsure Development (NoMAD) surveys (n=101). ANALYSIS: Qualitative data were analysed using the NPT framework, with quantitative data analysed descriptively and using χ(2) and Wilcoxon signed-rank test for differences in current and future normalisation. RESULTS: Participants reported familiarity with the AKI e-alerts but that the e-alerts would become more normalised in the future (p<0.001). No single NPT mechanism led to current (un)successful implementation of the e-alerts, but analysis of the underlying subconstructs identified several mechanisms indicative of successful normalisation (internalisation, legitimation) or unsuccessful normalisation (initiation, differentiation, skill set workability, systematisation). CONCLUSIONS: Clinicians recognised the value and importance of AKI e-alerts in their practice, although this was not sufficient for the e-alerts to be routinely engaged with by clinicians. To further normalise the use of AKI e-alerts, there is a need for tailored training on use of the e-alerts and routine feedback to clinicians on the impact that e-alerts have on patient outcomes. |
format | Online Article Text |
id | pubmed-6924771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69247712020-01-02 Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England Scott, Jason Finch, Tracy Bevan, Mark Maniatopoulos, Gregory Gibbins, Chris Yates, Bryan Kilimangalam, Narayanan Sheerin, Neil Kanagasundaram, Nigel Suren BMJ Open Renal Medicine OBJECTIVE: Around one in five emergency hospital admissions are affected by acute kidney injury (AKI). To address poor quality of care in relation to AKI, electronic alerts (e-alerts) are mandated across primary and secondary care in England and Wales. Evidence of the benefit of AKI e-alerts remains conflicting, with at least some uncertainty explained by poor or unclear implementation. The objective of this study was to identify factors relating to implementation, using Normalisation Process Theory (NPT), which promote or inhibit use of AKI e-alerts in secondary care. DESIGN: Mixed methods combining qualitative (observations, semi-structured interviews) and quantitative (survey) methods. SETTING AND PARTICIPANTS: Three secondary care hospitals in North East England, representing two distinct AKI e-alerting systems. Observations (>44 hours) were conducted in Emergency Assessment Units (EAUs). Semi-structured interviews were conducted with clinicians (n=29) from EAUs, vascular or general surgery or care of the elderly. Qualitative data were supplemented by Normalization MeAsure Development (NoMAD) surveys (n=101). ANALYSIS: Qualitative data were analysed using the NPT framework, with quantitative data analysed descriptively and using χ(2) and Wilcoxon signed-rank test for differences in current and future normalisation. RESULTS: Participants reported familiarity with the AKI e-alerts but that the e-alerts would become more normalised in the future (p<0.001). No single NPT mechanism led to current (un)successful implementation of the e-alerts, but analysis of the underlying subconstructs identified several mechanisms indicative of successful normalisation (internalisation, legitimation) or unsuccessful normalisation (initiation, differentiation, skill set workability, systematisation). CONCLUSIONS: Clinicians recognised the value and importance of AKI e-alerts in their practice, although this was not sufficient for the e-alerts to be routinely engaged with by clinicians. To further normalise the use of AKI e-alerts, there is a need for tailored training on use of the e-alerts and routine feedback to clinicians on the impact that e-alerts have on patient outcomes. BMJ Publishing Group 2019-12-11 /pmc/articles/PMC6924771/ /pubmed/31831546 http://dx.doi.org/10.1136/bmjopen-2019-032925 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Renal Medicine Scott, Jason Finch, Tracy Bevan, Mark Maniatopoulos, Gregory Gibbins, Chris Yates, Bryan Kilimangalam, Narayanan Sheerin, Neil Kanagasundaram, Nigel Suren Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title | Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title_full | Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title_fullStr | Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title_full_unstemmed | Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title_short | Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England |
title_sort | acute kidney injury electronic alerts: mixed methods normalisation process theory evaluation of their implementation into secondary care in england |
topic | Renal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924771/ https://www.ncbi.nlm.nih.gov/pubmed/31831546 http://dx.doi.org/10.1136/bmjopen-2019-032925 |
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