Evidence map›Paper›PMID 37945341›Full record

ArticleBMJ quality & safety2024

Why is safety in intrapartum electronic fetal monitoring so hard? A qualitative study combining human factors/ergonomics and social science analysis.

Guillaume Lamé, Elisa Giulia Liberati, Aneurin Canham, Jenni Burt, Lisa Hinton, Tim Draycott, Cathy Winter, Francesca Helen Dakin, Natalie Richards, Lucy Miller and 2 more

Open access · hybridAbstract read
In one paragraph

Article in BMJ quality & safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Guillaume LaméLaboratoire Génie Industriel, CentraleSupélec, Gif-sur-Yvette, France.ORCID 0000-0001-9514-1890
Elisa Giulia LiberatiDepartment of Public Health and Primary Care, THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Cambridge, UK.ORCID 0000-0003-4981-1210
Aneurin CanhamEmergo by UL, Southampton, UK.
Jenni BurtDepartment of Public Health and Primary Care, THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Cambridge, UK.ORCID 0000-0002-0037-274X
Lisa HintonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-6082-3151
Tim DraycottNorth Bristol NHS Trust, Bristol, UK.
Cathy WinterNorth Bristol NHS Trust, Bristol, UK.
Francesca Helen DakinNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Natalie RichardsDepartment of Public Health and Primary Care, THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Cambridge, UK.
Lucy MillerUniversity Division of Anaesthesia, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Janet WillarsDepartment of Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0002-7886-3223
Mary Dixon-WoodsDepartment of Public Health and Primary Care, THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Cambridge, UK director@thisinstitute.cam.ac.uk.ORCID 0000-0002-5915-0041
University of Cambridge · GBNorth Bristol NHS Trust · GBUniversity of Oxford · GBCambridge University Hospitals NHS Foundation Trust · GBUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProblems in intrapartum electronic fetal monitoring with cardiotocography (CTG) remain a major area of preventable harm. Poor understanding of the range of influences on safety may have hindered improvement. Taking an interdisciplinary perspective, we sought to characterise the everyday practice of CTG monitoring and the work systems within which it takes place, with the goal of identifying potential sources of risk.

methodsHuman factors/ergonomics (HF/E) experts and social scientists conducted 325 hours of observations and 23 interviews in three maternity units in the UK, focusing on how CTG tasks were undertaken, the influences on this work and the cultural and organisational features of work settings. HF/E analysis was based on the Systems Engineering Initiative for Patient Safety 2.0 model. Social science analysis was based on the constant comparative method.

resultsCTG monitoring can be understood as a complex sociotechnical activity, with tasks, people, tools and technology, and organisational and external factors all combining to affect safety. Fetal heart rate patterns need to be recorded and interpreted correctly. Systems are also required for seeking the opinions of others, determining whether the situation warrants concern, escalating concerns and mobilising response. These processes may be inadequately designed or function suboptimally, and may be further complicated by staffing issues, equipment and ergonomics issues, and competing and frequently changing clinical guidelines. Practice may also be affected by variable standards and workflows, variations in clinical competence, teamwork and situation awareness, and the ability to communicate concerns freely.

conclusionsCTG monitoring is an inherently collective and sociotechnical practice. Improving it will require accounting for complex system interdependencies, rather than focusing solely on discrete factors such as individual technical proficiency in interpreting traces.

Indexed as

CardiotocographyHeart Rate, FetalErgonomicsFemaleHumansPregnancyProfessional PracticeHealthcare quality improvementHuman factorsObstetrics and gynecologyQualitative researchSocial sciences

Identifiers

PMID37945341
PMCPMC10982615
OpenAlexW4388540930

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.