Evidence map›Paper›PMID 36735736›Full record

ArticlePloS one2023

Imaging delays among medical inpatients in Toronto, Ontario: A cohort study.

Emily Bartsch, Saeha Shin, Surain Roberts, Thomas E MacMillan, Michael Fralick, Jessica J Liu, Terence Tang, Janice L Kwan, Adina Weinerman, Amol A Verma and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Emily BartschDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8794-6493
Saeha ShinUnity Health Toronto, Toronto, Ontario, Canada.
Surain RobertsUnity Health Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-8792-2240
Thomas E MacMillanDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Michael FralickDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Jessica J LiuDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Terence TangDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Janice L KwanDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Adina WeinermanDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Amol A VermaDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Fahad RazakDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Lauren Lapointe-ShawDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAUniversity Health Network · CASt. Michael's Hospital · CAUnity Health TorontoSunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImaging procedures are commonly performed on hospitalized patients and waiting for these could increase length-of-stay. The study objective was to quantify delays for imaging procedures in General Internal Medicine and identify contributing patient, physician, and system factors.

methodsThis was a retrospective cohort study of medical inpatients admitted to 5 hospitals in Toronto, Ontario (2010-2019), with at least one imaging procedure (CT, MRI, ultrasound, or peripherally-inserted central catheter [PICC] insertion). The primary outcome was time-to-test, and the secondary outcome was acute length-of-stay after test ordering.

resultsThe study cohort included 73,107 hospitalizations. Time-to-test was longest for MRI (median 22 hours) and shortest for CT (median 7 hours). The greatest contributors to time-to-test were system factors such as hospital site (up to 22 additional hours), location of test ordering (up to 10 additional hours), the timing of test ordering relative to admission (up to 13 additional hours), and ordering during weekends (up to 21 additional hours). Older patient age, having more comorbidities, and residence in a low-income neighborhood were also associated with testing delays. Each additional hour spent waiting for a test was associated with increased acute length-of-stay after test ordering, ranging from 0.4 additional hours for CT to 1.2 hours for MRI.

conclusionsThe greatest contributors to testing delays relate to when and where a test was ordered. Wait times affect length-of-stay and the quality of patient care. Hospitals can apply our novel approach to explore opportunities to decrease testing delays locally.

Indexed as

InpatientsCohort StudiesHumansLength of StayOntarioRetrospective Studies

Identifiers

PMID36735736
PMCPMC9897551
OpenAlexW4319063715

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.