Evidence map›Paper›PMID 25510241›Full record

Observational studyBMJ (Clinical research ed.)2014

Operating theatre time, where does it all go? A prospective observational study.

Elizabeth Travis, Sarah Woodhouse, Ruth Tan, Sandeep Patel, Jason Donovan, Kit Brogan

Abstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Albumin in adult cardiac surgery: a narrative review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2021
    Review
  8. Article
  9. Article
  10. Due time driven surgery scheduling.Health care management science · 2017
    Article
  11. 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.

Elizabeth TravisWaikato Hospital, Hamilton, New Zealand elizabeth.travis@waikatodhb.health.nz.
Sarah WoodhouseUniversity of Sussex, UK.
Ruth TanWaikato Hospital, Hamilton, New Zealand.
Sandeep PatelWaikato Hospital, Hamilton, New Zealand.
Jason DonovanWaikato Hospital, Hamilton, New Zealand.
Kit BroganWaikato Hospital, Hamilton, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the accuracy of surgeons and anaesthetists in predicting the time it will take them to complete an operation or procedure and therefore explain some of the difficulties encountered in operating theatre scheduling.

designSingle centre, prospective observational study.

settingPlastic, orthopaedic, and general surgical operating theatres at a level 1 trauma centre serving a population of about 370,000.

participants92 operating theatre staff including surgical consultants, surgical registrars, anaesthetic consultants, and anaesthetic registrars.

interventionParticipants were asked how long they thought their procedure would take. These data were compared with actual time data recorded at the end of the case. PRIMARY OUTCOME MEASURE: Absolute difference between predicted and actual time.

resultsGeneral surgeons underestimated the time required for the procedure by 31 minutes (95% confidence interval 7.6 to 54.4), meaning that procedures took, on average, 28.7% longer than predicted. Plastic surgeons underestimated by 5 minutes (-12.4 to 22.4), with procedures taking an average of 4.5% longer than predicted. Orthopaedic surgeons overestimated by 1 minute (-16.4 to 14.0), with procedures taking an average of 1.1% less time than predicted. Anaesthetists underestimated by 35 minutes (21.7 to 48.7), meaning that, on average, procedures took 167.5% longer than they predicted. The four specialty mean time overestimations or underestimations are significantly different from each other (P=0.01). The observed time differences between anaesthetists and both orthopaedic and plastic surgeons are significantly different (P<0.05), but the time difference between anaesthetists and general surgeons is not significantly different.

conclusionThe inability of clinicians to predict the necessary time for a procedure is a significant cause of delay in the operating theatre. This study suggests that anaesthetists are the most inaccurate and highlights the potential differences between specialties in what is considered part of the "anaesthesia time."

Indexed as

Operative TimeAnesthesiologyClinical CompetenceConsultantsHumansOperating RoomsProspective StudiesSpecialties, SurgicalTime ManagementTrauma Centers

Identifiers

PMID25510241
PMCPMC4266034

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.