Evidence map›Paper›PMID 37499130›Full record

ArticleUrology practice2023

Toward the Deimplementation of Computed Tomography Urogram for Patients With Low- to Intermediate-risk Microscopic Hematuria: A Mixed-method Study of Factors Influencing Continued Use.

Sarah A Birken, Richard Matulewicz, Ram Pathak, Cheyenne R Wagi, Alexandra G Peluso, Richa Bundy, Lauren Witek, Bridget Krol, Michael L Parchman, Matthew Nielsen and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Urology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Sarah A BirkenDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-0591-4800
Richard MatulewiczDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Ram PathakDepartment of Urology, Mayo Clinic, Rochester, Minnesota.
Cheyenne R WagiDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Alexandra G PelusoDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Richa BundyDepartment of Internal Medicine, Informatics and Analytics, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Lauren WitekDepartment of Internal Medicine, Informatics and Analytics, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Bridget KrolWake Forest University School of Medicine, Winston-Salem, North Carolina.
Michael L ParchmanKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Matthew NielsenDepartment of Urology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Ajay DharodDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Wake Forest University · USKaiser Permanente Washington Health Research Institute · USMayo Clinic · USMemorial Sloan Kettering Cancer Center · USUniversity of North Carolina at Chapel Hill · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Optimizing Smoking Cessation Treatment for Patients with Bladder CancerK08CA259452 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Richard Steven Matulewicz · 2022 to 2026
$971k
NCATS NIH HHS UL1 TR001420NCI NIH HHS K08 CA259452NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionCiting high costs, limited diagnostic benefit, and ionizing radiation-associated risk from CT urogram, in 2020 the AUA revised its guidelines from recommending CT urogram for all patients with microscopic hematuria to a deintensified risk-stratified approach, including the deimplementation of low-value CT urogram (ie, not recommending CT urogram for patients with low- to intermediate-risk microscopic hematuria). Adherence to revised guidelines and reasons for continued low-value CT urogram are unknown.

methodsWith the overarching objective of improving guideline implementation, we used a mixed-method convergent explanatory design with electronic health record data for a retrospective cohort at a single academic tertiary medical center in the southeastern United States and semistructured interviews with urology and nonurology providers to describe determinants of low-value CT urogram following guideline revision.

resultsOf 391 patients with microscopic hematuria, 198 (51%) had a low-value CT urogram (136 [69%] pre-guideline revision, 62 [31%] postrevision). The odds of ordering a low-value CT urogram were lower after guideline revisions, but the change was not statistically significant (OR: 0.44,

conclusionsOur findings suggest low-value CT urogram deimplementation may be improved with guidelines and implementation support directed at both urology and nonurology providers and algorithms to support guideline-concordant microscopic hematuria evaluation approaches. Future studies should test these strategies.

Indexed as

HematuriaTomography, X-Ray ComputedAcademic Medical CentersHumansRetrospective StudiesUrographyhematurialow-value carequalitative researchtomographyurographyx-ray computed

Identifiers

PMID37499130
PMCPMC10609652
OpenAlexW4385325029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.