Evidence map›Paper›PMID 33634414›Full record

Observational studyJournal of digital imaging2021

Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism.

Leonid L Chepelev, Xuan Wang, Benjamin Gold, Clara-Lea Bonzel, Frank Rybicki, Jennifer W Uyeda, Adnan Sheikh, Dan Anderson, Jared Lindaman, Greg Mogel and 4 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

14 authors.

Leonid L ChepelevStanford University, Stanford, CA, USA.
Xuan WangHarvard School of Public Health, Boston, MA, USA.
Benjamin GoldChange Healthcare, Madison, WI, USA.
Clara-Lea BonzelHarvard School of Public Health, Boston, MA, USA.
Frank RybickiHarvard Medical School, Boston, MA, USA.
Jennifer W UyedaHarvard Medical School, Boston, MA, USA.
Adnan SheikhUniversity of Ottawa, Ottawa, Ontario, Canada.
Dan AndersonChange Healthcare, Madison, WI, USA.
Jared LindamanChange Healthcare, Madison, WI, USA.
Greg MogelChange Healthcare, Madison, WI, USA.
Dimitrios MitsourasUniversity of California San Francisco, San Francisco, CA, USA.
Mary C MahoneyUniversity of Cincinnati, Cincinnati, Ohio, USA.
Tianxi CaiHarvard School of Public Health, Boston, MA, USA.
Frank J RybickiUniversity of Cincinnati, Cincinnati, Ohio, USA. rybickfk@ucmail.uc.edu.ORCID 0000-0002-3005-315X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Protecting Access to Medicare Act (PAMA) mandates clinical decision support mechanism (CDSM) consultation for all advanced imaging. There are a growing number of studies examining the association of CDSM use with imaging appropriateness, but a paucity of multicenter data. This observational study evaluates the association between changes in advanced imaging appropriateness scores with increasing provider exposure to CDSM. Each provider's first 200 consecutive anonymized requisitions for advanced imaging (CT, MRI, ultrasound, nuclear medicine) using a single CDSM (CareSelect, Change Healthcare) between January 1, 2017 and December 31, 2019 were collected from 288 US institutions. Changes in imaging requisition proportions among four appropriateness categories ("usually appropriate" [green], "may be appropriate" [yellow], "usually not appropriate" [red], and unmapped [gray]) were evaluated in relation to the chronological order of the requisition for each provider and total provider exposure to CDSM using logistic regression fits and Wald tests. The number of providers and requisitions included was 244,158 and 7,345,437, respectively. For 10,123 providers with ≥ 200 requisitions (2,024,600 total requisitions), the fraction of green, yellow, and red requisitions among the last 10 requisitions changed by +3.0% (95% confidence interval +2.6% to +3.4%), -0.8% (95% CI -0.5% to -1.1%), and -3.0% (95% CI 3.3% to -2.7%) in comparison with the first 10, respectively. Providers with > 190 requisitions had 8.5% (95% CI 6.3% to 10.7%) more green requisitions, 2.3% (0.7% to 3.9%) fewer yellow requisitions, and 0.5% (95% CI -1.0% to 2.0%) fewer red (not statistically significant) requisitions relative to providers with ≤ 10 requisitions. Increasing provider exposure to CDSM is associated with improved appropriateness scores for advanced imaging requisitions.

Indexed as

Decision Support Systems, ClinicalAgedHumansMagnetic Resonance ImagingMedicareReferral and ConsultationUnited StatesAppropriateness CriteriaBig DataCenters for Medicare and Medicaid ServicesClinical Decision SupportComplianceElectronic Medical RecordImaging AppropriatenessImaging MetricsMedical ImagingProtecting Access to Medical CareQualified Provider Led EntityRadiology

Identifiers

PMID33634414
PMCPMC8289929

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.