Development and utility of a clinical research informatics application for participant recruitment and workflow management for a return of results pilot trial in familial hypercholesterolemia in the Million Veteran Program.

genetic databanks genetic testing informatics randomized controlled trial

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 10 03 2023
revised: 26 06 2023
accepted: 14 02 2024
medline: 11 3 2024
pubmed: 11 3 2024
entrez: 11 3 2024
Statut: epublish

Résumé

The development of clinical research informatics tools and workflow processes associated with re-engaging biobank participants has become necessary as genomic repositories increasingly consider the return of actionable research results. Here we describe the development and utility of an informatics application for participant recruitment and enrollment management for the Veterans Affairs Million Veteran Program Return Of Actionable Results Study, a randomized controlled pilot trial returning individual genetic results associated with familial hypercholesterolemia. The application is developed in Python-Flask and was placed into production in November 2021. The application includes modules for chart review, medication reconciliation, participant contact and biospecimen logging, survey recording, randomization, and documentation of genetic counseling and result disclosure. Three primary users, a genetic counselor and two research coordinators, and 326 Veteran participants have been integrated into the system as of February 23, 2023. The application has successfully handled 3367 task requests involving greater than 95 000 structured data points. Specifically, application users have recorded 326 chart reviews, 867 recruitment telephone calls, 158 telephone-based surveys, and 61 return of results genetic counseling sessions, among other available study tasks. The development of usable, customizable, and secure informatics tools will become increasingly important as large genomic repositories begin to return research results at scale. Our work provides a proof-of-concept for developing and using such tools to aid in managing the return of results process within a national biobank.

Identifiants

pubmed: 38464744
doi: 10.1093/jamiaopen/ooae020
pii: ooae020
pmc: PMC10923213
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ooae020

Informations de copyright

Published by Oxford University Press on behalf of the American Medical Informatics Association 2024.

Déclaration de conflit d'intérêts

J.G. reports a relationship with Novartis that includes grant funding. All other authors report no competing interests.

Auteurs

Charles A Brunette (CA)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.

Thomas Yi (T)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.

Morgan E Danowski (ME)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.

Mark Cardellino (M)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.

Alicia Harrison (A)

Genetic Counseling Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Themistocles L Assimes (TL)

VA Palo Alto Health Care System, Palo Alto, CA, United States.
Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, United States.
Department of Epidemiology and Population Health, Stanford University School of Medicine, Palo Alto, CA, United States.

Joshua W Knowles (JW)

Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, United States.
Family Heart Foundation, Pasadena, CA, United States.

Kurt D Christensen (KD)

PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, United States.
Department of Population Medicine, Harvard Medical School, Boston, MA, United States.

Amy C Sturm (AC)

23andMe, Sunnyvale, CA, United States.

Yan V Sun (YV)

Atlanta VA Health Care System, Decatur, GA, United States.
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States.

Qin Hui (Q)

Atlanta VA Health Care System, Decatur, GA, United States.
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States.

Saiju Pyarajan (S)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.

Yunling Shi (Y)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.

Stacey B Whitbourne (SB)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.
Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.

J Michael Gaziano (JM)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.
Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.

Sumitra Muralidhar (S)

Office of Research and Development, Veterans Health Administration, Washington, DC, United States.

Jason L Vassy (JL)

Veterans Affairs Boston Healthcare System, Boston, MA, United States.
Department of Medicine, Harvard Medical School, Boston, MA, United States.
Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, United States.
Population Precision Health, Ariadne Labs, Boston, MA, United States.

Classifications MeSH