Evidence map›Paper›PMID 31831546›Full record

ArticleBMJ open2019

Acute kidney injury electronic alerts: mixed methods Normalisation Process Theory evaluation of their implementation into secondary care in England.

Jason Scott, Tracy Finch, Mark Bevan, Gregory Maniatopoulos, Chris Gibbins, Bryan Yates, Narayanan Kilimangalam, Neil Sheerin, Nigel Suren Kanagasundaram

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jason ScottFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK jason.scott@northumbria.ac.uk.ORCID 0000-0001-7031-2171
Tracy FinchFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK.
Mark BevanFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK.
Gregory ManiatopoulosInstitute of Health and Society, Newcastle University, Newcastle upon Tyne, UK.
Chris GibbinsNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Bryan YatesNorthumbria Healthcare NHS Foundation Trust, North Shields, Tyne and Wear, UK.
Narayanan KilimangalamGateshead Health NHS Foundation Trust, Gateshead, UK.
Neil SheerinNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Nigel Suren KanagasundaramNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAround 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.

designMixed methods combining qualitative (observations, semi-structured interviews) and quantitative (survey) methods. SETTING AND

participantsThree 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

resultsParticipants 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,

conclusionsClinicians 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.

Indexed as

Acute Kidney InjurySecondary Health CareDecision Support Systems, ClinicalEnglandHumansNephrologyOperations ResearchPoint-of-Care SystemsPrimary Health CareQualitative ResearchQuality Improvementacute renal failurehealth informaticsnephrologyqualitative researchquality in health care

Identifiers

PMID31831546
PMCPMC6924771

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.