Evidence map›Paper›PMID 37451691›Full record

ArticleBMJ health & care informatics2023

Surgical pit crew: initiative to optimise measurement and accountability for operating room turnover time.

Nicole H Goldhaber, Robin L Schaefer, Roman Martinez, Andrew Graham, Elizabeth Malachowski, Lisa P Rhodes, Ruth S Waterman, Kristin L Mekeel, Brian J Clay, Michael McHale

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2023. 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
–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

8 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

10 authors.

Nicole H GoldhaberDepartment of Surgery, University of California San Diego, La Jolla, California, USA nhgoldhaber@health.ucsd.edu.ORCID http://orcid.org/0000-0002-3847-3634
Robin L SchaeferPerioperative & Procedural Services, University of California San Diego, La Jolla, California, USA.
Roman MartinezPerioperative & Procedural Services, University of California San Diego, La Jolla, California, USA.
Andrew GrahamInformation Services, University of California San Diego, La Jolla, California, USA.
Elizabeth MalachowskiPerioperative & Procedural Services, University of California San Diego, La Jolla, California, USA.
Lisa P RhodesPerioperative & Procedural Services, University of California San Diego, La Jolla, California, USA.
Ruth S WatermanDepartment of Anesthesia, University of California San Diego, La Jolla, California, USA.
Kristin L MekeelDepartment of Surgery, University of California San Diego, La Jolla, California, USA.
Brian J ClayBiomedical Informatics, UC San Diego, La Jolla, California, USA.
Michael McHaleDepartment of OBGYN, University of California San Diego, La Jolla, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTurnover time (TOT), defined as the time between surgical cases in the same operating room (OR), is often perceived to be lengthy without clear cause. With the aim of optimising and standardising OR turnover processes and decreasing TOT, we developed an innovative and staff-interactive TOT measurement method.

methodsWe divided TOT into task-based segments and created buttons on the electronic health record (EHR) default prelogin screen for appropriate staff workflows to collect more granular data. We created submeasures, including 'clean-up start', 'clean-up complete', 'set-up start' and 'room ready for patient', to calculate environmental services (EVS) response time, EVS cleaning time, room set-up response time, room set-up time and time to room accordingly.

resultsSince developing and implementing these workflows, measures have demonstrated excellent staff adoption. Median times of EVS response and cleaning have decreased significantly at our main hospital ORs and ambulatory surgery centre.

conclusionOR delays are costly to hospital systems. TOT, in particular, has been recognised as a potential dissatisfier and cause of delay in the perioperative environment. Viewing TOT as one finite entity and not a series of necessary tasks by a variety of team members limits the possibility of critical assessment and improvement. By dividing the measurement of TOT into respective segments necessary to transition the room at the completion of one case to the onset of another, valuable insight was gained into the causes associated with turnover delays, which increased awareness and improved accountability of staff members to complete assigned tasks efficiently.

Indexed as

Operating RoomsHumansTime FactorsBMJ Health InformaticsData VisualizationGeneral SurgeryInformation TechnologyOutcome and Process Assessment, Health Care

Identifiers

PMID37451691
PMCPMC10351225

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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.