Evidence map›Paper›PMID 33658268›Full record

ArticleEmergency medicine journal : EMJ2021

Usability of electronic health record systems in UK EDs.

Benjamin Michael Bloom, Jason Pott, Stephen Thomas, David Ramon Gaunt, Thomas C Hughes

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 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

5 authors.

Benjamin Michael BloomEmergency Department, Royal London Hospital, London, UK ben.bloom@nhs.net.ORCID http://orcid.org/0000-0002-3016-4925
Jason PottEmergency Department, Royal London Hospital, London, UK.
Stephen ThomasCentre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, UK.
David Ramon GauntEmergency Medicine, West Hertfordshire Hospitals NHS Trust, Watford, UK.
Thomas C HughesEmergency Department, John Radcliffe Hospital, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe large volume of patients, rapid staff turnover and high work pressure mean that the usability of all systems within the ED is important. The transition to electronic health records (EHRs) has brought many benefits to emergency care but imposes a significant burden on staff to enter data. Poor usability has a direct consequence and opportunity cost in staff time and resources that could otherwise be employed in patient care. This research measures the usability of EHR systems in UK EDs using a validated assessment tool.

methodsThis was a survey completed by members and fellows of the Royal College of Emergency Medicine conducted during summer 2019. The primary outcome was the System Usability Scale Score, which ranges from 0 (worst) to 100 (best). Scores were compared with an internationally recognised measure of acceptable usability of 68. Results were analysed by EHR system, country, healthcare organisation and physician grade. Only EHR systems with at least 20 responses were analysed.

resultsThere were 1663 responses from a total population of 8794 (19%) representing 192 healthcare organisations (mainly UK NHS), and 25 EHR systems. Fifteen EHR systems had at least 20 responses and were included in the analysis. No EHR system achieved a median usability score that met the industry standard of acceptable usability.The median usability score was 53 (IQR 35-68). Individual EHR systems' scores ranged from 35 (IQR 26-53) to 65 (IQR 44-80).

conclusionIn this survey, no UK ED EHR system met the internationally validated standard of acceptable usability for information technology.

Indexed as

Attitude of Health PersonnelEmergency MedicineEmergency Service, HospitalElectronic Health RecordsHumansSurveys and QuestionnairesUnited Kingdomcommunicationscomparative system researchdata managementefficiency

Identifiers

PMID33658268
PMCPMC8165140

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.