Cargando…

Factors influencing patient willingness to participate in genetic research after a myocardial infarction

BACKGROUND: Achieving 'personalized medicine' requires enrolling representative cohorts into genetic studies, but patient self-selection may introduce bias. We sought to identify characteristics associated with genetic consent in a myocardial infarction (MI) registry. METHODS: We assessed...

Descripción completa

Detalles Bibliográficos
Autores principales: Lanfear, David E, Jones, Philip G, Cresci, Sharon, Tang, Fengming, Rathore, Saif S, Spertus, John A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218813/
https://www.ncbi.nlm.nih.gov/pubmed/21676259
http://dx.doi.org/10.1186/gm255
_version_ 1782216733276241920
author Lanfear, David E
Jones, Philip G
Cresci, Sharon
Tang, Fengming
Rathore, Saif S
Spertus, John A
author_facet Lanfear, David E
Jones, Philip G
Cresci, Sharon
Tang, Fengming
Rathore, Saif S
Spertus, John A
author_sort Lanfear, David E
collection PubMed
description BACKGROUND: Achieving 'personalized medicine' requires enrolling representative cohorts into genetic studies, but patient self-selection may introduce bias. We sought to identify characteristics associated with genetic consent in a myocardial infarction (MI) registry. METHODS: We assessed correlates of participation in the genetic sub-study of TRIUMPH, a prospective MI registry (n = 4,340) from 24 US hospitals between April 2005 and December 2008. Factors examined included extensive socio-demographics factors, clinical variables, and study site. Predictors of consent were identified using hierarchical modified Poisson regression, adjusting for study site. Variation in consent rates across hospitals were quantified by the median rate ratio (MRR). RESULTS: Most subjects consented to donation of their genetic material (n = 3,484; 80%). Participation rates varied greatly between sites, from 40% to 100%. After adjustment for confounding factors, the MRR for hospital was 1.22 (95% confidence interval (CI) 1.11 to 1.29). The only patient-level factors associated with consent were race (RR 0.93 for African Americans versus whites, 95% CI 0.88 to 0.99) and body mass index (RR 1.03 for BMI ≥ 25, 95% CI 1.01 to 1.06). CONCLUSION: Among patients with an MI there were notable differences in genetic consent by study site, but little association with patient-level factors. This suggests that variation in the way information is presented during recruitment, or other site factors, strongly influence patients' decision to participate in genetic studies.
format Online
Article
Text
id pubmed-3218813
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-32188132011-11-18 Factors influencing patient willingness to participate in genetic research after a myocardial infarction Lanfear, David E Jones, Philip G Cresci, Sharon Tang, Fengming Rathore, Saif S Spertus, John A Genome Med Research BACKGROUND: Achieving 'personalized medicine' requires enrolling representative cohorts into genetic studies, but patient self-selection may introduce bias. We sought to identify characteristics associated with genetic consent in a myocardial infarction (MI) registry. METHODS: We assessed correlates of participation in the genetic sub-study of TRIUMPH, a prospective MI registry (n = 4,340) from 24 US hospitals between April 2005 and December 2008. Factors examined included extensive socio-demographics factors, clinical variables, and study site. Predictors of consent were identified using hierarchical modified Poisson regression, adjusting for study site. Variation in consent rates across hospitals were quantified by the median rate ratio (MRR). RESULTS: Most subjects consented to donation of their genetic material (n = 3,484; 80%). Participation rates varied greatly between sites, from 40% to 100%. After adjustment for confounding factors, the MRR for hospital was 1.22 (95% confidence interval (CI) 1.11 to 1.29). The only patient-level factors associated with consent were race (RR 0.93 for African Americans versus whites, 95% CI 0.88 to 0.99) and body mass index (RR 1.03 for BMI ≥ 25, 95% CI 1.01 to 1.06). CONCLUSION: Among patients with an MI there were notable differences in genetic consent by study site, but little association with patient-level factors. This suggests that variation in the way information is presented during recruitment, or other site factors, strongly influence patients' decision to participate in genetic studies. BioMed Central 2011-06-15 /pmc/articles/PMC3218813/ /pubmed/21676259 http://dx.doi.org/10.1186/gm255 Text en Copyright ©2011 Lanfear et al.; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Lanfear, David E
Jones, Philip G
Cresci, Sharon
Tang, Fengming
Rathore, Saif S
Spertus, John A
Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title_full Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title_fullStr Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title_full_unstemmed Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title_short Factors influencing patient willingness to participate in genetic research after a myocardial infarction
title_sort factors influencing patient willingness to participate in genetic research after a myocardial infarction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218813/
https://www.ncbi.nlm.nih.gov/pubmed/21676259
http://dx.doi.org/10.1186/gm255
work_keys_str_mv AT lanfeardavide factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction
AT jonesphilipg factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction
AT crescisharon factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction
AT tangfengming factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction
AT rathoresaifs factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction
AT spertusjohna factorsinfluencingpatientwillingnesstoparticipateingeneticresearchafteramyocardialinfarction