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...
Autores principales: | , , , , |
---|---|
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 |