Evidence map›Paper›PMID 39811774›Full record

ArticleArthroplasty today2025

Optimizing Operating Room Efficiency for Primary Hip and Knee Arthroplasty Using Performance Benchmarks.

Koorosh Kashanian, Matey Juric, Tim Ramsay, Pascal Fallavollita, Paul E Beaulé

Abstract read
In one paragraph

Article in Arthroplasty today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

5 authors.

Koorosh KashanianDivision of Orthopaedic Surgery, Department of Surgery, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada.
Matey JuricDivision of Orthopaedic Surgery, Department of Surgery, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada.
Tim RamsayInterdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.
Pascal FallavollitaInterdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.
Paul E BeauléDivision of Orthopaedic Surgery, Department of Surgery, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With increasing demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA), maximizing operating room (OR) efficiency is critical. This paper sought to examine the implementation of time benchmarks when performing primary TKA and THA. We hypothesized that implementing benchmarks would improve efficiency and the number of joints performed per day. Methods: Two hundred ninety-five patients from 59 OR days were reviewed. All surgeries were performed as outpatients and included 160 females and 135 males; 161 TKA and 134 THA; mean age, 66.1; mean body mass index, 28.6 kg/m Results: The percentage of cases meeting individual benchmarks for APT was 50.17%; procedure time was 95.25%; AFT was 99.67%; turnover was 65.25%. The means were: APT 11:00 min, Surgical Prep Time 9:00 min, procedure time 55:00 min, AFT 3:00 min, and turnover 19:00 min. Overall, 98.3% (58/59) of ORs had 4 cases completed within 8 h and 52.5% (31/59) had 5 cases within 8 h. Age, body mass index, and consecutive laterality of surgery were determined to affect the likelihood of meeting benchmarks for case time, APT, and turnover. Conclusions: Establishing time benchmarks permitted the introduction of 5 joint days within an 8-h OR without increasing resource utilization. Factors that influence OR efficiency for high-volume primary hip and knee replacements were identified.

Indexed as

BenchmarkEfficiencyTHATKA

Identifiers

PMID39811774
PMCPMC11732218

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Registered trials

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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.