Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec 4;4(2):e10206.
doi: 10.1002/lrh2.10206. eCollection 2020 Apr.

Informed consent within a learning health system: A scoping review

Affiliations

Informed consent within a learning health system: A scoping review

Annabelle Cumyn et al. Learn Health Syst. .

Abstract

Introduction: A major consideration for the implementation of a learning health system (LHS) is consent from participants to the use of their data for research purposes. The main objective of this paper was to identify in the literature which types of consent have been proposed for participation in research observational activities in a LHS. We were particularly interested in understanding which approaches were seen as most feasible and acceptable and in which context, in order to inform the development of a Quebec-based LHS.

Methods: Using a scoping review methodology, we searched scientific and legal databases as well as the gray literature using specific terms. Full-text articles were reviewed independently by two authors on the basis of the following concepts: (a) LHS and (b) approach to consent. The selected papers were imported in NVivo software for analysis in the light of a conceptual framework that distinguishes various, largely independent dimensions of consent.

Results: A total of 93 publications were analysed for this review. Several studies reach opposing conclusions concerning the best approach to consent within a LHS. However, in the light of the conceptual framework we developed, we found that many of these results are distorted by the conflation between various characteristics of consent. Thus, when these characteristics are distinguished, the results mainly suggest the prime importance of the communication process, by contrast to the scope of consent or the kind of action required by participants (opt-in/opt-out). We identified two models of consent that were especially relevant for our purpose: metaconsent and dynamic consent.

Conclusions: Our review shows the importance of distinguishing carefully the various features of the consent process. It also suggests that the metaconsent model is a valuable model within a LHS, as it addresses many of the issues raised with regards to feasibility and acceptability. We propose to complement this model by adding the modalities of the information process to the dimensions relevant in the metaconsent process.

Keywords: approaches to consent; health data research; learning health system; metaconsent.

PubMed Disclaimer

Conflict of interest statement

Jean‐François Ethier is an associate editor of the Learning Health Systems journal. The other authors declare no conflicts of interest and no financial interests related to this study.

Figures

Figure 1
Figure 1
A framework to separate different characteristics of the enrollment process

References

    1. Etheredge LM. A rapid‐learning health system. Health Aff (Millwood). 2007; 26(2):w107‐w118. - PubMed
    1. Lowes LP, Noritz GH, Newmeyer A, Embi PJ, Yin H, Smoyer WE. ‘Learn From Every Patient': implementation and early results of a learning health system. Dev Med Child Neurol. 2017;59(2):183‐191. - PubMed
    1. Faden RR, Kass NE, Goodman SN, Pronovost P, Tunis S, Beauchamp TL. An ethics framework for a learning health care system: a departure from traditional research ethics and clinical ethics. Hastings Cent Rep. 2013. Feb;Spec No:S16‐27. - PubMed
    1. Lee SS‐J, Kelley M, Cho MK, et al. Adrift in the gray zone: IRB perspectives on research in the learning health system. AJOB Empir Bioeth. 2016;7(2):125‐134. - PMC - PubMed
    1. Groupe de recherche interdisciplinaire en informatique de la santé. PARS3 [Internet]. GRIIS . 2019. [cited 2019 Sep 3]. Available from: http://griis.ca/en/pars3/

Publication types

LinkOut - more resources