Evidence map›Paper›PMID 35206863›Full record

ArticleHealthcare (Basel, Switzerland)2022

Assessing Hospital Resource Utilization with Application to Imaging for Patients Diagnosed with Prostate Cancer.

Yazmine Lunn, Rudra Patel, Timothy S Sokphat, Laura Bourn, Khalil Fields, Anna Fitzgerald, Vandana Sundaresan, Greeshma Thomas, Michael Korvink, Laura H Gunn

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. 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

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

10 authors.

Yazmine LunnSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-1940-4887
Rudra PatelSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0001-9608-0380
Timothy S SokphatSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Laura BournSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-4125-5515
Khalil FieldsSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Anna FitzgeraldSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Vandana SundaresanSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-6056-0478
Greeshma ThomasDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Michael KorvinkITS Data Science, Premier, Inc., Charlotte, NC 28277, USA.ORCID 0000-0002-4802-4293
Laura H GunnSchool of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0003-3962-4526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resource utilization measures are typically modeled by relying on clinical characteristics. However, in some settings, those clinical markers are not available, and hospitals are unable to explore potential inefficiencies or resource misutilization. We propose a novel approach to exploring misutilization that solely relies on administrative data in the form of patient characteristics and competing resource utilization, with the latter being a novel addition. We demonstrate this approach in a 2019 patient cohort diagnosed with prostate cancer (

Indexed as

medical imagingmisutilizationprostate cancerresource utilizationrisk adjustment

Identifiers

PMID35206863
PMCPMC8872431

What OpenQuestion holds

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LicenceCC BY
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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.