Advanced imaging use and delays among inpatients with psychiatric comorbidity.

medical imaging psychiatric comorbidity rate of testing testing delays

Journal

Brain and behavior
ISSN: 2162-3279
Titre abrégé: Brain Behav
Pays: United States
ID NLM: 101570837

Informations de publication

Date de publication:
Feb 2024
Historique:
revised: 09 10 2023
received: 20 05 2023
accepted: 21 01 2024
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 16 2 2024
Statut: ppublish

Résumé

To determine whether presence of a psychiatric comorbidity impacts use of inpatient imaging tests and subsequent wait times. This was a retrospective cohort study of all patients admitted to General Internal Medicine (GIM) at five academic hospitals in Toronto, Ontario from 2010 to 2019. Exposure was presence of a coded psychiatric comorbidity on admission. Primary outcome was time to test, as calculated from the time of test ordering to time of test completion, for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, or peripherally inserted central catheter (PICC) insertion. Multilevel mixed-effects models were used to identify predictors of time to test, and marginal effects were used to calculate differences in absolute units (h). Secondary outcome was the rate of each type of test included. Subgroup analyses were performed according to type of psychiatric comorbidity: psychotic, mood/anxiety, or substance use disorder. There were 196,819 GIM admissions from 2010to 2019. In 77,562 admissions, ≥1 advanced imaging test was performed. After adjusting for all covariates, presence of any psychiatric comorbidity was associated with increased time to test for MRI (adjusted difference: 5.3 h, 95% confidence interval [CI]: 3.9-6.8), PICC (adjusted difference: 3.7 h, 95% CI: 1.6-5.8), and ultrasound (adjusted difference: 3.0 h, 95% CI: 2.3-3.8), but not for CT (adjusted difference: 0.1 h, 95% CI: -0.3 to 0.5). Presence of any psychiatric comorbidity was associated with lower rate of ordering for all test types (adjusted difference: -17.2 tests per 100 days hospitalization, interquartile range: -18.0 to -16.3). There was a lower rate of ordering of advanced imaging among patients with psychiatric comorbidity. Once ordered, time to test completion was longer for MRI, ultrasound, and PICC. Further exploration, such as quantifying rates of cancelled tests and qualitative studies evaluating hospital, provider, and patient barriers to timely advanced imaging, will be helpful in elucidating causes for these disparities.

Identifiants

pubmed: 38361288
doi: 10.1002/brb3.3425
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3425

Informations de copyright

© 2024 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

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Auteurs

Emily Bartsch (E)

Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada.

Saeha Shin (S)

Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.

Kathleen Sheehan (K)

Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Centre for Mental Health, University Health Network, Toronto, Ontario, Canada.

Michael Fralick (M)

Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada.
Division of General Internal Medicine, Sinai Health, Toronto, Ontario, Canada.

Amol Verma (A)

Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada.
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Division of General Internal Medicine, Unity Health Toronto, Toronto, Ontario, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Fahad Razak (F)

Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada.
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Division of General Internal Medicine, Unity Health Toronto, Toronto, Ontario, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Lauren Lapointe-Shaw (L)

Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Division of General Internal Medicine, University Health Network, Toronto, Ontario, Canada.

Classifications MeSH