Evidence map›Paper›PMID 41439164›Full record

ArticleJB & JS open access

The Cost of Last-Minute Cancellation: Analysis of Timing, Reason, and the Block Time You Won't Get Back.

Sophia McMahon, Fritz Steuer, Ryan T Lin, Stephen Marcaccio, Yunseo Linda Park, Gillian Ahrendt, Ariana Lott, Matthew Como, Albert Lin

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sophia McMahonDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0009-0009-7978-2669
Fritz SteuerDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0009-0003-4155-2979
Ryan T LinDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0002-3683-4678
Stephen MarcaccioDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0003-2766-327X
Yunseo Linda ParkDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0009-0002-4709-836X
Gillian AhrendtDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0002-7411-4954
Ariana LottDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0002-8341-4000
Matthew ComoDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0002-1232-725X
Albert LinDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID https://orcid.org/0000-0003-4204-3482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to determine if cancellations within 1 week of surgery are more costly and whether failure to obtain medical clearance is a common reason for nonelective cancellation. Methods: A retrospective review of 1,684 consecutive scheduled surgeries at 1 surgery center by 1 surgeon was performed. Demographics, including age, gender, and hand dominance; timing of surgical scheduling; and surgery type were recorded. Cancellations within 2 weeks of surgery were recorded including the date and reason, categorized as elective and nonelective, and whether the timeslot was filled or unfilled. Cancellations were analyzed based on number of days prior to surgery: 0 to 7 versus 8 to 14 days versus >14 days from surgery. Estimated revenue and Relative Value Unit (RVU) losses were calculated using values and the average revenue of shoulder surgery found in existing literature. Statistical analysis was used for comparisons between the groups using t-tests, analysis of variance, χ Results: There were 175 cancellations, 96 occurring within 2 weeks of the scheduled surgery. The average cancellation time was 5.9 ± 4.2 days before surgery. 43.8% (28/64) of cancellations 0 to 7 days before surgery were filled, a significantly lower number compared with those that occurred 8 to 14 days earlier with 93.4% (30/32) of timeslots filled following the cancellation (p = 0.00), and all cancelations >14 days before surgery were filled (79/79). The rate of elective and nonelective cancellations did not differ between the 0 to 7 and 8 to 14 days (p = 0.74). Nonelective cancellations related to lack of medical clearance contributed to 17.2% (11/64) of cancellations that occurred 0 to 7 days before surgery. Approximately $385,624 or 2,990 RVUs of revenue was lost due to unfilled timeslots. Conclusions: There was an inflection point observed 7 days before scheduled surgery, which marked a statistically significant decrease in the rate at which surgical cancellations were filled with alternative cases at available surgical timeslots. Lack of medical clearance also led to a substantial loss of revenue. Level of Evidence: Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID41439164
PMCPMC12721798

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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.