ArticleJournal of medical Internet research2021
An Integrated, Scalable, Electronic Video Consent Process to Power Precision Health Research: Large, Population-Based, Cohort Implementation and Scalability Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles.Translational psychiatry · 2024Pooled it
- A large meta-analysis identifies genes associated with anterior uveitis.Nature communications · 2023Pooled it
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- Inclusion bias affects common variant discovery and replication in a health-system linked biobank.American journal of human genetics · 2026Article
- Humans with function-disrupting variants in the myostatin gene (MSTN) have increased skeletal muscle mass and strength, and less adiposity.Nature communications · 2026Article
- Multi-task learning identifies shared genetic risk for late-onset epilepsy and alzheimer's disease.Scientific reports · 2025Article
- Exploring depression treatment response by using polygenic risk scoring across diverse populations.American journal of human genetics · 2025Article
- The use of large language models to enhance cancer clinical trial educational materials.JNCI cancer spectrum · 2025Article
- Improving genetic risk modeling of dementia from real-world data in underrepresented populations.Communications biology · 2024Article
- Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles Biobank.medRxiv : the preprint server for health sciences · 2023Article
- Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.Nature medicine · 2023Article
- Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review.Journal of medical Internet research · 2023Review
- The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank.Cell genomics · 2023Article
- Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer.Nature communications · 2022Article
- Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.Genome medicine · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundObtaining explicit consent from patients to use their remnant biological samples and deidentified clinical data for research is essential for advancing precision medicine.
objectiveWe aimed to describe the operational implementation and scalability of an electronic universal consent process that was used to power an institutional precision health biobank across a large academic health system.
methodsThe University of California, Los Angeles, implemented the use of innovative electronic consent videos as the primary recruitment tool for precision health research. The consent videos targeted patients aged ≥18 years across ambulatory clinical laboratories, perioperative settings, and hospital settings. Each of these major areas had slightly different workflows and patient populations. Sociodemographic information, comorbidity data, health utilization data (ambulatory visits, emergency room visits, and hospital admissions), and consent decision data were collected.
resultsThe consenting approach proved scalable across 22 clinical sites (hospital and ambulatory settings). Over 40,000 participants completed the consent process at a rate of 800 to 1000 patients per week over a 2-year time period. Participants were representative of the adult University of California, Los Angeles, Health population. The opt-in rates in the perioperative (16,500/22,519, 73.3%) and ambulatory clinics (2308/3390, 68.1%) were higher than those in clinical laboratories (7506/14,235, 52.7%; P<.001). Patients with higher medical acuity were more likely to opt in. The multivariate analyses showed that African American (odds ratio [OR] 0.53, 95% CI 0.49-0.58; P<.001), Asian (OR 0.72, 95% CI 0.68-0.77; P<.001), and multiple-race populations (OR 0.73, 95% CI 0.69-0.77; P<.001) were less likely to participate than White individuals.
conclusionsThis is one of the few large-scale, electronic video-based consent implementation programs that reports a 65.5% (26,314/40,144) average overall opt-in rate across a large academic health system. This rate is higher than those previously reported for email (3.6%) and electronic biobank (50%) informed consent rates. This study demonstrates a scalable recruitment approach for population health research.
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