Evidence map›Paper›PMID 39813049›Full record

ArticleJAMA surgery2025

Multicomponent Deimplementation Strategy to Reduce Low-Value Preoperative Testing.

Alexis G Antunez, Ruby J Kazemi, Caroline Richburg, Cecilia Pesavento, Andrew Vastardis, Erin Kim, Abigail L Kappelman, Devak Nanua, Hiba Pediyakkal, Faelan Jacobson-Davies and 6 more

Abstract readComment
In one paragraph

Article in JAMA surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alexis G AntunezDepartment of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Ruby J KazemiDepartment of Otolaryngology, University of California, Davis.
Caroline RichburgDepartment of Surgery, Yale University, New Haven, Connecticut.
Cecilia PesaventoDepartment of Surgery, Vanderbilt University, Nashville, Tennessee.
Andrew VastardisUniversity of Michigan Medical School, Ann Arbor.
Erin KimUniversity of Michigan Medical School, Ann Arbor.
Abigail L KappelmanUniversity of Michigan Medical School, Ann Arbor.
Devak NanuaUniversity of Michigan Medical School, Ann Arbor.
Hiba PediyakkalUniversity of Michigan Medical School, Ann Arbor.
Faelan Jacobson-DaviesCenter for Healthcare Outcomes and Policy, Ann Arbo Michigan.
Shawna N SmithSchool of Public Health, University of Michigan, Ann Arbor.
James HendersonMichigan Value Collaborative, Ann Arbor.
Valerie GavrilaMichigan Program on Value Enhancement, Ann Arbor.
Anthony CuttittaDepartment of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Hari NathanCenter for Healthcare Outcomes and Policy, Ann Arbo Michigan.
Lesly A DossettCenter for Healthcare Outcomes and Policy, Ann Arbo Michigan.

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
AHRQ HHS R01 HS028606AHRQ HHS R01 HS029306NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

Importance: Routine preoperative blood tests and electrocardiograms before low-risk surgery do not prevent adverse events or change management but waste resources and can cause patient harm. Given this, multispecialty organizations recommend against routine testing before low-risk surgery. Objective: To determine whether a multicomponent deimplementation strategy (the intervention) would reduce low-value preoperative testing before low-risk general surgery operations. Design, Setting, and Participants: This study had a pre-post quality improvement interventional design using interrupted time series and difference-in-difference analytic approaches. The setting was a single academic, quaternary referral hospital with 2 freestanding ambulatory surgery centers and a central preoperative clinic. Included in the study were adult patients undergoing nonurgent outpatient inguinal hernia repairs, lumpectomy, or laparoscopic cholecystectomy between June 2022 and August 2023. Eligible clinicians included those treating at least 1 patient during both the preintervention and postintervention periods. Interventions: All clinicians were exposed to the multicomponent deimplementation intervention, and their testing practices were compared before and after the intervention. The strategy components were evidenced-based decisional support, multidisciplinary stakeholder engagement, educational sessions, and consensus building with surgeons and physician assistants staffing a preoperative clinic. Main Outcomes and Measures: The primary end point of the trial was the rate of unnecessary preoperative tests across each trial period. Results: A total of 1143 patients (mean [SD] age, 58.7 [15.5] years; 643 female [56.3%]) underwent 261 operations (23%) in the preintervention period, 510 (45%) in the intervention period, and 372 (33%) in the postintervention period. Unnecessary testing rates decreased over each period (intervention testing rate, -16%; 95% CI, -4% to -27%; P = .01; postintervention testing rate, -27%; 95% CI, -17% to -38%; P = .003) and within each test category. The decrease in overall testing was not observed at other hospitals in the state on adjusted difference-in-difference analysis. Conclusions and Relevance: In this quality improvement study, a multicomponent deimplementation strategy was associated with a reduction in unnecessary preoperative testing before low-risk general surgery operations. The resulting changes in testing practice patterns were not associated with temporal trends within or outside the study hospital. Results suggest that this intervention was effective, applicable to common general surgery operations, and adaptable for expansion into appropriate clinical settings.

Indexed as

Diagnostic Tests, RoutinePreoperative CareQuality ImprovementAdultCholecystectomy, LaparoscopicFemaleHerniorrhaphyHumansMaleMiddle Aged

Identifiers

PMID39813049
PMCPMC11904733

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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.