Evidence map›Paper›PMID 40598225›Full record

SynthesisBMC medical informatics and decision making2025

Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework.

Arabella Scantlebury, Katherine Jones, Joy Adamson, Melissa Harden, Catriona McDaid, Amy Grove

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

6 authors.

Arabella ScantleburyCentre for Evidence and Implementation Science, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, England. a.l.scantlebury@bham.ac.uk.
Katherine JonesWarwick Medical School, University of Warwick, Warwick, CV4 7AL, England.
Joy AdamsonYork Trials Unit, Department of Health Sciences, University of York, York, YO10 5DD, England.
Melissa HardenCentre for Reviews and Dissemination, University of York, York, YO10 5DD, England.
Catriona McDaidYork Trials Unit, Department of Health Sciences, University of York, York, YO10 5DD, England.
Amy GroveCentre for Evidence and Implementation Science, College of Social Sciences, University of Birmingham, Birmingham, B15 2RT, England.

Funding

National Institute for Health and Care Research,United Kingdom AF-300060Wellcome Trust 204829
6 · The paper itself

Abstract

backgroundThe perception and use of scientific evidence in orthopaedic surgical decision-making is variable, and there is considerable variation in practice. A previous conceptual framework described eight different drivers of orthopaedic surgical decision-making: formal codified and managerial knowledge, medical socialisation, cultural, normative and political influence, training and formal education, experiential factors, and individual patient and surgeon factors. This Qualitative Evidence Synthesis (QES) aims to refine the conceptual framework to understand how these drivers of decision-making are applied to orthopaedic surgical work in a dynamic and fluid way.

methodsA QES explored how different types of knowledge and evidence inform decision-making to explore why there is so much variation in orthopaedic surgical work. Nine databases were systematically searched from 2014 to 2023. Screening was undertaken independently by two researchers. Data extraction and quality assessment were undertaken by one researcher and accuracy checked by another. Findings were mapped to the conceptual framework and expanded through thematic synthesis.

resultsTwenty-five studies were included. Our re-conceptualised framework of evidence-based orthopaedics portrays how surgeons undergo a constant process of medical brokering to make decisions. Routinely standardising, implementing and regulating surgical decision making presents a challenge when the decision-making process is in a constant state of flux. We found that surgeons constantly prioritise drivers of decision-making in a flexible and context-specific manner. We introduce the concept of socialisation in decision making, which describes "the socialisation of factors affecting decision-making. Socialisation is additive to surgeon identity and organisational capacity, which as explanatory linchpins act to mediate our understanding of how and why surgical decision-making varies. Our conceptual framework allows us to rationalise why formal codified knowledge, typically endorsed through clinical guidelines, consistently plays a limited role in orthopaedic decision-making.

conclusionsWe present a re-conceptualised framework for understanding what drives real world decision-making in orthopaedics. This framework highlights the dynamic and fluid way these drivers of decision-making are applied in orthopaedic surgical work. A shift in orthopaedics is required away from prioritising informal, experiential knowledge first to incorporating evidence-based sources of evidence as essential for decision-making. This paradigm shift, views decision-making as a complex intervention, that requires alternative approaches underpinned by multi-faceted, evidence-based implementation strategies to encourage evidence-based practice. REGISTRATION: PROSPERO CRD42022311442 CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical Decision-MakingEvidence-Based MedicineOrthopedic ProceduresOrthopedicsHumansQualitative ResearchDecision-makingEvidence-based medicineEvidence-based practiceImplementationOrthopaedicsQualitativeQualitative evidence-synthesisSurgery

Identifiers

PMID40598225
PMCPMC12211141

What OpenQuestion holds

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LicenceCC BY
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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.