Literature DB >> 23886923

Ethical and practical challenges to studying patients who opt out of large-scale biorepository research.

S Trent Rosenbloom1, Jennifer L Madison, Kyle B Brothers, Erica A Bowton, Ellen Wright Clayton, Bradley A Malin, Dan M Roden, Jill Pulley.   

Abstract

Large-scale biorepositories that couple biologic specimens with electronic health records containing documentation of phenotypic expression can accelerate scientific research and discovery. However, differences between those subjects who participate in biorepository-based research and the population from which they are drawn may influence research validity. While an opt-out approach to biorepository-based research enhances inclusiveness, empirical research evaluating voluntariness, risk, and the feasibility of an opt-out approach is sparse, and factors influencing patients' decisions to opt out are understudied. Determining why patients choose to opt out may help to improve voluntariness, however there may be ethical and logistical challenges to studying those who opt out. In this perspective paper, the authors explore what is known about research based on the opt-out model, describe a large-scale biorepository that leverages the opt-out model, and review specific ethical and logistical challenges to bridging the research gaps that remain.

Entities:  

Keywords:  Biomedical Ethics; Biorepositories; Informed Consent; Medical Informatics Computing; Medical Records Systems, Computerized; Support, U.S. Gov’t, P.H.S.

Mesh:

Year:  2013        PMID: 23886923      PMCID: PMC3861935          DOI: 10.1136/amiajnl-2013-001937

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  80 in total

1.  How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems.

Authors:  Bradley Malin; Latanya Sweeney
Journal:  J Biomed Inform       Date:  2004-06       Impact factor: 6.317

2.  Informed consent and biobanks.

Authors:  Ellen Wright Clayton
Journal:  J Law Med Ethics       Date:  2005       Impact factor: 1.718

3.  Mother's consent to linkage of survey data with her child's birth records in a multi-ethnic national cohort study.

Authors:  A Rosemary Tate; Lisa Calderwood; Carol Dezateux; Heather Joshi
Journal:  Int J Epidemiol       Date:  2005-12-22       Impact factor: 7.196

4.  Personalized medicine in the era of genomics.

Authors:  Wylie Burke; Bruce M Psaty
Journal:  JAMA       Date:  2007-10-10       Impact factor: 56.272

5.  Biobanking in pediatrics: the human nonsubjects approach.

Authors:  Kyle Bertram Brothers
Journal:  Per Med       Date:  2011-01       Impact factor: 2.512

6.  Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

Authors:  Bradley Malin; David Karp; Richard H Scheuermann
Journal:  J Investig Med       Date:  2010-01       Impact factor: 2.895

7.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

8.  Potential bias in the bank: what distinguishes refusers, nonresponders and participants in a clinic-based biobank?

Authors:  J L Ridgeway; L C Han; J E Olson; K A Lackore; B A Koenig; T J Beebe; J Y Ziegenfuss
Journal:  Public Health Genomics       Date:  2013-04-12       Impact factor: 2.000

9.  Attitudes of the Japanese public and doctors towards use of archived information and samples without informed consent: preliminary findings based on focus group interviews.

Authors:  Atsushi Asai; Motoki Ohnishi; Etsuyo Nishigaki; Miho Sekimoto; Shunichi Fukuhara; Tsuguya Fukui
Journal:  BMC Med Ethics       Date:  2002-01-09       Impact factor: 2.652

10.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

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  1 in total

1.  Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.

Authors:  Jyotishman Pathak; Abel N Kho; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-12       Impact factor: 4.497

  1 in total

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