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Selection bias and subject refusal in a cluster-randomized controlled trial

BACKGROUND: Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to their allocation into intervention or control. This study asse...

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Autores principales: Yang, Rochelle, Carter, Barry L., Gums, Tyler H., Gryzlak, Brian M., Xu, Yinghui, Levy, Barcey T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504663/
https://www.ncbi.nlm.nih.gov/pubmed/28693427
http://dx.doi.org/10.1186/s12874-017-0368-7
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author Yang, Rochelle
Carter, Barry L.
Gums, Tyler H.
Gryzlak, Brian M.
Xu, Yinghui
Levy, Barcey T.
author_facet Yang, Rochelle
Carter, Barry L.
Gums, Tyler H.
Gryzlak, Brian M.
Xu, Yinghui
Levy, Barcey T.
author_sort Yang, Rochelle
collection PubMed
description BACKGROUND: Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to their allocation into intervention or control. This study assessed the impact of selection bias in a large cluster-randomized controlled trial. METHODS: The Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care (ICARE) study examined the impact of a remote pharmacist-led intervention in twelve medical offices. To assess eligibility, a standardized form containing patient demographics and medical information was completed for each screened patient. Eligible patients were approached by the study coordinator for recruitment. Both the study coordinator and the patient were aware of the site’s allocation prior to consent. Patients who consented or declined to participate were compared across control and intervention arms for differing characteristics. Statistical significance was determined using a two-tailed, equal variance t-test and a chi-square test with adjusted Bonferroni p-values. Results were adjusted for random cluster variation. RESULTS: There were 2749 completed screening forms returned to research staff with 461 subjects who had either consented or declined participation. Patients with poorly controlled diabetes were found to be significantly more likely to decline participation in intervention sites compared to those in control sites. A higher mean diastolic blood pressure was seen in patients with uncontrolled hypertension who declined in the control sites compared to those who declined in the intervention sites. However, these findings were no longer significant after adjustment for random variation among the sites. After this adjustment, females were now found to be significantly more likely to consent than males (odds ratio = 1.41; 95% confidence interval = 1.03, 1.92). CONCLUSIONS: Though there appeared to be a higher consent rate for females than for males, the overall impact of potential selection bias and refusal to participate was minimal. Without rigorous methodology, selection bias may be a threat to external validity in cluster-randomized trials. TRIAL REGISTRATION: NCT01983813. Date of registration: Oct. 28, 2013. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-017-0368-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-55046632017-07-12 Selection bias and subject refusal in a cluster-randomized controlled trial Yang, Rochelle Carter, Barry L. Gums, Tyler H. Gryzlak, Brian M. Xu, Yinghui Levy, Barcey T. BMC Med Res Methodol Research Article BACKGROUND: Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to their allocation into intervention or control. This study assessed the impact of selection bias in a large cluster-randomized controlled trial. METHODS: The Improved Cardiovascular Risk Reduction to Enhance Rural Primary Care (ICARE) study examined the impact of a remote pharmacist-led intervention in twelve medical offices. To assess eligibility, a standardized form containing patient demographics and medical information was completed for each screened patient. Eligible patients were approached by the study coordinator for recruitment. Both the study coordinator and the patient were aware of the site’s allocation prior to consent. Patients who consented or declined to participate were compared across control and intervention arms for differing characteristics. Statistical significance was determined using a two-tailed, equal variance t-test and a chi-square test with adjusted Bonferroni p-values. Results were adjusted for random cluster variation. RESULTS: There were 2749 completed screening forms returned to research staff with 461 subjects who had either consented or declined participation. Patients with poorly controlled diabetes were found to be significantly more likely to decline participation in intervention sites compared to those in control sites. A higher mean diastolic blood pressure was seen in patients with uncontrolled hypertension who declined in the control sites compared to those who declined in the intervention sites. However, these findings were no longer significant after adjustment for random variation among the sites. After this adjustment, females were now found to be significantly more likely to consent than males (odds ratio = 1.41; 95% confidence interval = 1.03, 1.92). CONCLUSIONS: Though there appeared to be a higher consent rate for females than for males, the overall impact of potential selection bias and refusal to participate was minimal. Without rigorous methodology, selection bias may be a threat to external validity in cluster-randomized trials. TRIAL REGISTRATION: NCT01983813. Date of registration: Oct. 28, 2013. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-017-0368-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-10 /pmc/articles/PMC5504663/ /pubmed/28693427 http://dx.doi.org/10.1186/s12874-017-0368-7 Text en © The Author(s). 2017 Open AccessThis 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
Yang, Rochelle
Carter, Barry L.
Gums, Tyler H.
Gryzlak, Brian M.
Xu, Yinghui
Levy, Barcey T.
Selection bias and subject refusal in a cluster-randomized controlled trial
title Selection bias and subject refusal in a cluster-randomized controlled trial
title_full Selection bias and subject refusal in a cluster-randomized controlled trial
title_fullStr Selection bias and subject refusal in a cluster-randomized controlled trial
title_full_unstemmed Selection bias and subject refusal in a cluster-randomized controlled trial
title_short Selection bias and subject refusal in a cluster-randomized controlled trial
title_sort selection bias and subject refusal in a cluster-randomized controlled trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504663/
https://www.ncbi.nlm.nih.gov/pubmed/28693427
http://dx.doi.org/10.1186/s12874-017-0368-7
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