Evidence map›Paper›PMID 39429387›Full record

ArticleCureus2024

The Importance of Surgical Cutting Time as a Key Performance Indicator Alongside Touchtime Utilisation in Operating Theatre Efficiency Optimisation.

William Kirk, Reece Barter, Parisah Seyed-Safi, Andrew Davies, Sanjeeve Sabharwal

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

William KirkTrauma and Orthopaedics, Imperial College Healthcare NHS Trust, London, GBR.
Reece BarterTrauma and Orthopaedics, Imperial College Healthcare NHS Trust, London, GBR.
Parisah Seyed-SafiOrthopaedic Surgery, Imperial College London, London, GBR.
Andrew DaviesTrauma and Orthopaedics, Imperial College London, London, GBR.
Sanjeeve SabharwalTrauma and Orthopaedics, Imperial College London, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims The Getting It Right First Time (GIRFT) programme has set targets to achieve 85% touchtime utilisation by 2024/25. Touchtime utilisation is a measure of theatre productivity, defined as the time from the start of anaesthesia to the time a patient leaves the theatre for all cases on a defined theatre list as a percentage of total available theatre time. No published evidence examines touchtime utilisation as a measure of theatre efficiency and its correlation with surgical cutting time. This study aims to determine if there is a statistical relationship between touchtime utilisation and surgical cutting time, and whether the use of touchtime utilisation is sufficient to inform about surgical productivity. Methods A retrospective analysis of two orthopaedic theatres spanning 100 days at both a major trauma centre and an elective hospital in London was performed. Electronic records identified anaesthetic start time, knife-to-skin time, end-of-procedure time, and patient-leaving-theatre time. Time intervals were calculated and the relationship between touchtime utilisation and surgical cutting time was assessed using Pearson's correlation coefficient (r). Results The mean total touchtime was 403 minutes (SD, 84 minutes) at the major trauma centre and 383 minutes (SD, 103 minutes) at the elective hospital. The mean total surgical cutting time was 259 minutes (SD, 72 minutes) at the major trauma centre and 233 minutes (SD, 75 minutes) at the elective hospital, from a total available time of 510 minutes per list. There was a significant correlation between touchtime and surgical cutting time at both hospitals (elective hospital: r (198) = 0.815, p < 0.001; major trauma centre: r (198) = 0.892, p < 0.001). The mean touchtime utilisation was 79.31% for the major trauma centre and 75.20% for the elective hospital; however, the mean total surgical cutting time was 51% and 46%, respectively, of total available time. Conclusion Despite a good correlation between touchtime and surgical cutting time, the range between these measures suggests that using touchtime utilisation alone to measure theatre efficiency may not sufficiently inform about efficient practices. We suggest complementing touchtime utilisation data with surgical cutting time may provide more information to contextualise efficiencies or inefficiencies in an operating theatre.

Indexed as

getting it right first timesurgical cutting timetheatre efficiencytheatre productivitytouchtime utilisation

Identifiers

PMID39429387
PMCPMC11488670

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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.