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Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis

OBJECTIVE: The study aimed to assess systematic differences in the characteristics of patients that consented for the trial compared with the broader pool of eligible patients in a large, pragmatic orthopaedic trauma trial. DESIGN: A retrospective observational study performed from April 2017 to Mar...

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Autores principales: O’Hara, Nathan N, Degani, Yasmin, Marvel, Debra, Wells, David, Mullins, C Daniel, Wegener, Stephen, Frey, Katherine, Joseph, Tara, Hurst, Jonathan, Castillo, Renan, O’Toole, Robert V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797323/
https://www.ncbi.nlm.nih.gov/pubmed/31604788
http://dx.doi.org/10.1136/bmjopen-2019-032631
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author O’Hara, Nathan N
Degani, Yasmin
Marvel, Debra
Wells, David
Mullins, C Daniel
Wegener, Stephen
Frey, Katherine
Joseph, Tara
Hurst, Jonathan
Castillo, Renan
O’Toole, Robert V
author_facet O’Hara, Nathan N
Degani, Yasmin
Marvel, Debra
Wells, David
Mullins, C Daniel
Wegener, Stephen
Frey, Katherine
Joseph, Tara
Hurst, Jonathan
Castillo, Renan
O’Toole, Robert V
author_sort O’Hara, Nathan N
collection PubMed
description OBJECTIVE: The study aimed to assess systematic differences in the characteristics of patients that consented for the trial compared with the broader pool of eligible patients in a large, pragmatic orthopaedic trauma trial. DESIGN: A retrospective observational study performed from April 2017 to March 2018. SETTING: Academic trauma centre in Baltimore, USA. PARTICIPANTS: There were 642 eligible adult trial participants with an operative fracture to the appendicular skeleton and were indicated for blood clot prophylaxis. The median age of the sample was 50 years (IQR: 31–63), and 60% were male. PRIMARY OUTCOME MEASURE: The primary outcome was the refusal to enrol in the trial. Demographic and injury covariates were included in iterations of latent class models. The final model was selected based on a minimum Bayesian information criterion. RESULTS: The final model identified three clusters with five covariates predictive of cluster membership (age, neighbourhood-based socioeconomic status, alcohol use, multiple fractures, multiple surgeries). The three clusters were associated with 22% (Cluster 1), 38% (Cluster 2) and 62% (Cluster 3) refusal rates, respectively. Members of Cluster 3 (n=84) were most commonly between 66 and 80 years of age (49% vs 6% (Cluster 1) and 21% (Cluster 2)), of high neighbourhood-based socioeconomic status (85% vs 63% (Cluster 1) and 8% (Cluster 2)), with isolated fractures (100% vs 80% (Cluster 1) and 92% (Cluster 2)), and were less likely to have multiple surgeries compared with the other clusters (28% vs 47% (Cluster 1) and 35% (Cluster 2)). CONCLUSION: In this study, the likelihood of refusing to participate in the trial ranged from 22% to 62% in the three identified clusters. Elderly age, high socioeconomic status, and less severe injuries defined the cluster that was most likely to refuse trial participation. TRIAL REGISTRATION NUMBER: NCT02984384.
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spelling pubmed-67973232019-10-31 Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis O’Hara, Nathan N Degani, Yasmin Marvel, Debra Wells, David Mullins, C Daniel Wegener, Stephen Frey, Katherine Joseph, Tara Hurst, Jonathan Castillo, Renan O’Toole, Robert V BMJ Open Research Methods OBJECTIVE: The study aimed to assess systematic differences in the characteristics of patients that consented for the trial compared with the broader pool of eligible patients in a large, pragmatic orthopaedic trauma trial. DESIGN: A retrospective observational study performed from April 2017 to March 2018. SETTING: Academic trauma centre in Baltimore, USA. PARTICIPANTS: There were 642 eligible adult trial participants with an operative fracture to the appendicular skeleton and were indicated for blood clot prophylaxis. The median age of the sample was 50 years (IQR: 31–63), and 60% were male. PRIMARY OUTCOME MEASURE: The primary outcome was the refusal to enrol in the trial. Demographic and injury covariates were included in iterations of latent class models. The final model was selected based on a minimum Bayesian information criterion. RESULTS: The final model identified three clusters with five covariates predictive of cluster membership (age, neighbourhood-based socioeconomic status, alcohol use, multiple fractures, multiple surgeries). The three clusters were associated with 22% (Cluster 1), 38% (Cluster 2) and 62% (Cluster 3) refusal rates, respectively. Members of Cluster 3 (n=84) were most commonly between 66 and 80 years of age (49% vs 6% (Cluster 1) and 21% (Cluster 2)), of high neighbourhood-based socioeconomic status (85% vs 63% (Cluster 1) and 8% (Cluster 2)), with isolated fractures (100% vs 80% (Cluster 1) and 92% (Cluster 2)), and were less likely to have multiple surgeries compared with the other clusters (28% vs 47% (Cluster 1) and 35% (Cluster 2)). CONCLUSION: In this study, the likelihood of refusing to participate in the trial ranged from 22% to 62% in the three identified clusters. Elderly age, high socioeconomic status, and less severe injuries defined the cluster that was most likely to refuse trial participation. TRIAL REGISTRATION NUMBER: NCT02984384. BMJ Publishing Group 2019-10-11 /pmc/articles/PMC6797323/ /pubmed/31604788 http://dx.doi.org/10.1136/bmjopen-2019-032631 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research Methods
O’Hara, Nathan N
Degani, Yasmin
Marvel, Debra
Wells, David
Mullins, C Daniel
Wegener, Stephen
Frey, Katherine
Joseph, Tara
Hurst, Jonathan
Castillo, Renan
O’Toole, Robert V
Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title_full Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title_fullStr Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title_full_unstemmed Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title_short Which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? A latent class analysis
title_sort which orthopaedic trauma patients are likely to refuse to participate in a clinical trial? a latent class analysis
topic Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797323/
https://www.ncbi.nlm.nih.gov/pubmed/31604788
http://dx.doi.org/10.1136/bmjopen-2019-032631
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