Cargando…

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

OBJECTIVES: 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. METHODS: Screening logs from the Adjunctive Glucocorticoid The...

Descripción completa

Detalles Bibliográficos
Autores principales: Ramanan, Mahesh, Billot, Laurent, Rajbhandari, Dorrilyn, Myburgh, John, Venkatesh, Balasubramanian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315530/
https://www.ncbi.nlm.nih.gov/pubmed/34314449
http://dx.doi.org/10.1371/journal.pone.0255361
_version_ 1783729737810575360
author Ramanan, Mahesh
Billot, Laurent
Rajbhandari, Dorrilyn
Myburgh, John
Venkatesh, Balasubramanian
author_facet Ramanan, Mahesh
Billot, Laurent
Rajbhandari, Dorrilyn
Myburgh, John
Venkatesh, Balasubramanian
author_sort Ramanan, Mahesh
collection PubMed
description OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Neither tertiary academic status, nor other site-level variables were significantly associated with increased rate of clinicians declining eligible patients.
format Online
Article
Text
id pubmed-8315530
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-83155302021-07-31 An evaluation of factors that may influence clinicians’ decisions not to enroll eligible patients into randomized trials in critical care Ramanan, Mahesh Billot, Laurent Rajbhandari, Dorrilyn Myburgh, John Venkatesh, Balasubramanian PLoS One Research Article OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Neither tertiary academic status, nor other site-level variables were significantly associated with increased rate of clinicians declining eligible patients. Public Library of Science 2021-07-27 /pmc/articles/PMC8315530/ /pubmed/34314449 http://dx.doi.org/10.1371/journal.pone.0255361 Text en © 2021 Ramanan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ramanan, Mahesh
Billot, Laurent
Rajbhandari, Dorrilyn
Myburgh, John
Venkatesh, Balasubramanian
An evaluation of factors that may influence clinicians’ decisions not to enroll eligible patients into randomized trials in critical care
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315530/
https://www.ncbi.nlm.nih.gov/pubmed/34314449
http://dx.doi.org/10.1371/journal.pone.0255361
work_keys_str_mv AT ramananmahesh anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT billotlaurent anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT rajbhandaridorrilyn anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT myburghjohn anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT venkateshbalasubramanian anevaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT ramananmahesh evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT billotlaurent evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT rajbhandaridorrilyn evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT myburghjohn evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare
AT venkateshbalasubramanian evaluationoffactorsthatmayinfluencecliniciansdecisionsnottoenrolleligiblepatientsintorandomizedtrialsincriticalcare