An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.

<h4>Objectives</h4>To determine the association between intensive care unit (ICU) characteristics and clinicians' decision to decline eligible patients for randomization into a multicentered pragmatic comparative-effectiveness controlled trial.<h4>Methods</h4>Screening l...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mahesh Ramanan, Laurent Billot, Dorrilyn Rajbhandari, John Myburgh, Balasubramanian Venkatesh
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/4458010f4fb04b769c2713dded1ecc1c
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:4458010f4fb04b769c2713dded1ecc1c
record_format dspace
spelling oai:doaj.org-article:4458010f4fb04b769c2713dded1ecc1c2021-12-02T20:06:24ZAn evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.1932-620310.1371/journal.pone.0255361https://doaj.org/article/4458010f4fb04b769c2713dded1ecc1c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255361https://doaj.org/toc/1932-6203<h4>Objectives</h4>To determine the association between intensive care unit (ICU) characteristics and clinicians' decision to decline eligible patients for randomization into a multicentered pragmatic comparative-effectiveness controlled trial.<h4>Methods</h4>Screening logs from the Adjunctive Glucocorticoid Therapy in Septic Shock Trial (ADRENAL) and site-level data from the College of Intensive Care Medicine and Australia New Zealand Intensive Care Society were examined. The effects of ICU characteristics such as tertiary academic status, research coordinator availability, number of admissions, and ICU affiliations on clinicians declining to randomize eligible patients were calculated using mixed effects logistic regression modelling.<h4>Results</h4>There were 21,818 patients screened for inclusion in the ADRENAL trial at 69 sites across five countries, out of which 5,501 were eligible, 3,800 were randomized and 659 eligible patients were declined for randomization by the treating clinician. The proportion of eligible patients declined by clinicians at individual ICUs ranged from 0 to41%. In the multivariable model, none of the ICU characteristics were significantly associated with higher clinician decline rate.<h4>Conclusions</h4>Neither tertiary academic status, nor other site-level variables were significantly associated with increased rate of clinicians declining eligible patients.Mahesh RamananLaurent BillotDorrilyn RajbhandariJohn MyburghBalasubramanian VenkateshPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0255361 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mahesh Ramanan
Laurent Billot
Dorrilyn Rajbhandari
John Myburgh
Balasubramanian Venkatesh
An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
description <h4>Objectives</h4>To determine the association between intensive care unit (ICU) characteristics and clinicians' decision to decline eligible patients for randomization into a multicentered pragmatic comparative-effectiveness controlled trial.<h4>Methods</h4>Screening logs from the Adjunctive Glucocorticoid Therapy in Septic Shock Trial (ADRENAL) and site-level data from the College of Intensive Care Medicine and Australia New Zealand Intensive Care Society were examined. The effects of ICU characteristics such as tertiary academic status, research coordinator availability, number of admissions, and ICU affiliations on clinicians declining to randomize eligible patients were calculated using mixed effects logistic regression modelling.<h4>Results</h4>There were 21,818 patients screened for inclusion in the ADRENAL trial at 69 sites across five countries, out of which 5,501 were eligible, 3,800 were randomized and 659 eligible patients were declined for randomization by the treating clinician. The proportion of eligible patients declined by clinicians at individual ICUs ranged from 0 to41%. In the multivariable model, none of the ICU characteristics were significantly associated with higher clinician decline rate.<h4>Conclusions</h4>Neither tertiary academic status, nor other site-level variables were significantly associated with increased rate of clinicians declining eligible patients.
format article
author Mahesh Ramanan
Laurent Billot
Dorrilyn Rajbhandari
John Myburgh
Balasubramanian Venkatesh
author_facet Mahesh Ramanan
Laurent Billot
Dorrilyn Rajbhandari
John Myburgh
Balasubramanian Venkatesh
author_sort Mahesh Ramanan
title An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
title_short An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
title_full An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
title_fullStr An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
title_full_unstemmed An evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
title_sort evaluation of factors that may influence clinicians' decisions not to enroll eligible patients into randomized trials in critical care.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/4458010f4fb04b769c2713dded1ecc1c
work_keys_str_mv AT maheshramanan anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT laurentbillot anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT dorrilynrajbhandari anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT johnmyburgh anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT balasubramanianvenkatesh anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT maheshramanan evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT laurentbillot evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT dorrilynrajbhandari evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT johnmyburgh evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT balasubramanianvenkatesh evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
_version_ 1718375356270903296