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Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process

BACKGROUND: To investigate the factors related to approval after review by an Institutional Review Board (IRB), the structure equation model was used to analyze the latent variables ‘investigators’, ‘vulnerability’ and ‘review process’ for 221 proposals submitted to our IRB. METHODS: The vulnerabili...

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Detalles Bibliográficos
Autores principales: Tzeng, Dong-Sheng, Wu, Yi-Chang, Hsu, Jane-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551705/
https://www.ncbi.nlm.nih.gov/pubmed/26311634
http://dx.doi.org/10.1186/s12910-015-0050-8
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author Tzeng, Dong-Sheng
Wu, Yi-Chang
Hsu, Jane-Yi
author_facet Tzeng, Dong-Sheng
Wu, Yi-Chang
Hsu, Jane-Yi
author_sort Tzeng, Dong-Sheng
collection PubMed
description BACKGROUND: To investigate the factors related to approval after review by an Institutional Review Board (IRB), the structure equation model was used to analyze the latent variables ‘investigators’, ‘vulnerability’ and ‘review process’ for 221 proposals submitted to our IRB. METHODS: The vulnerability factor included vulnerable cases, and studies that involved drug tests and genetic analyses. The principal investigator (PI) factor included the license level of the PI and whether they belonged to our institution. The review factor included administration time, total review time, and revision frequency. The revision frequency and total review time influenced the efficiency of review. RESULTS: The latent variable of reviewing was the most important factor mediating the PIs and vulnerability to IRB review approval. The local PIs moderated with genetic study and revision frequency had an impact on the review process and mediated non-approval. CONCLUSIONS: Better guidance of the investigators and reviewers might improve the efficiency with which IRBs function.
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spelling pubmed-45517052015-08-29 Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process Tzeng, Dong-Sheng Wu, Yi-Chang Hsu, Jane-Yi BMC Med Ethics Research Article BACKGROUND: To investigate the factors related to approval after review by an Institutional Review Board (IRB), the structure equation model was used to analyze the latent variables ‘investigators’, ‘vulnerability’ and ‘review process’ for 221 proposals submitted to our IRB. METHODS: The vulnerability factor included vulnerable cases, and studies that involved drug tests and genetic analyses. The principal investigator (PI) factor included the license level of the PI and whether they belonged to our institution. The review factor included administration time, total review time, and revision frequency. The revision frequency and total review time influenced the efficiency of review. RESULTS: The latent variable of reviewing was the most important factor mediating the PIs and vulnerability to IRB review approval. The local PIs moderated with genetic study and revision frequency had an impact on the review process and mediated non-approval. CONCLUSIONS: Better guidance of the investigators and reviewers might improve the efficiency with which IRBs function. BioMed Central 2015-08-27 /pmc/articles/PMC4551705/ /pubmed/26311634 http://dx.doi.org/10.1186/s12910-015-0050-8 Text en © Tzeng et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tzeng, Dong-Sheng
Wu, Yi-Chang
Hsu, Jane-Yi
Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title_full Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title_fullStr Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title_full_unstemmed Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title_short Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
title_sort latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551705/
https://www.ncbi.nlm.nih.gov/pubmed/26311634
http://dx.doi.org/10.1186/s12910-015-0050-8
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